•
Discuss the different
intelligences discussed in your book. Compare and contrast them.
Midterm Study Guide
Terms to
Know
5. Quantitative vs. Qualitative research: What do we
do if we want the best of both worlds? What’s the difference? Quantitative
Research: This type of research is charged with quantifying (measuring and
counting) and subscribes to to a particular empirical approach to knowledge,
believing that by measuring accurately enough we can make claims about the
object at study.
2) Qualitative Research: This type of
research is charged with the quality or qualities of an experience or
phenomenon. Qualitative research rejects the notion of their being a simple
relationship between our perception of the world and the world itself, instead
arguing that each individual places different meaning on different events or experiences and that these are constantly
changing. Qualitative research generally gathers text based data through
exercises with a small number of participants, usually semi structured or
unstructured interviews.
“Quantitative research is concerned with quantifying (measuring and
counting) and subscribes to to a particular empirical approach to knowledge,
believing that by measuring accurately enough we can make claims about the
object at study. Due to the stringency and ‘objectivity’ of this form of
research, quantitative research is often conducted in controlled settings, such
as labs, to make sure that the data is as objective and unaffected by external
conditions as possible. This helps with the replicability of the study, by
conducting a study more than once and receiving the same or similar responses,
you can be pretty sure your results are accurate. Quantitative research tends
to be predictive in nature and is used to test research hypothesis, rather than
descriptions of processes. Quantitative research tends to use a large number of
participants, using experimental methods, or very structured psychometric
questionnaires.
By contrast qualitative research is concerned with
the quality or qualities of an experience or phenomenon. Qualitative research
rejects the notion of their being a simple relationship between our perception
of the world and the world itself, instead arguing that each individual places
different meaning on different events or
experiences and that these are constantly changing. Qualitative research
generally gathers text based data through exercises with a small number of participants,
usually semi structured or unstructured interviews.”
’
Dependent Variable:
Independent Variable (X)
The independent variable is: the variable that the researcher hypothesizes
will have an effect on the dependent variable
Usually manipulated (experimental
study)
The independent
variable is: manipulated by means of a program, treatment, or intervention done
to only one group in the study (experimental group )
The control group gets
the standard treatment or no treatment.
Dependent Variable (Y) The dependent variable is a
factor, trait, or condition that can exist in differing amounts or types. Not
manipulated and pressured to vary with changes in the independent variable The
variable the researcher is interested in explaining.
Randomization. Each subject in the study has an equal chance of being assigned to the
control group or the experimental group.
Assumes that any
important intervening, extraneous, or mediating variable will be equally
distributed between the groups, minimizing variance and decreasing selection
bias.
Internal Validity Asks whether the independent variable really made the difference or the
change in the dependent variable. Established by ruling out other factors or
threats as rival explanations. Threats to internal validity
History: an event, other than the intervention, that might have an effect on the
dependent variable; the event could be either inside or outside the
experimental setting.
Testing: Taking the same test more than
once can influence the participant’s responses the next time test is taken.
Threats to Internal
Validity:
Mortality: the loss of study subjects
Selection bias : a partiality in choosing the
participants in a study.
Objectivity in
Conceptualization of the Research Questions. (week sixth)
Type of design chosen Accuracy/Feasibility/Control and
intervention fidelity/Accuracy
Accomplished through the theoretical framework and literature review
All aspects of the study systematically and logically follow form
the research questions.
Feasibility:
Validity: internal and external Objectivity can be achieved form a thorough review
of the literature and the development of a theoretical framework.
Time: Is there enough time for completion of the study.
Subject availability: Are a sufficient number of eligibility subjects available?
Facility and equipment availability: are there necessary equipment and facilities
available?
Expense: Is money
available for the projected cost?
Experience: is the
study based on the researcher’s experience and interest?
Ethics: could subject
be harmed?
CONTROL
Terms to Know
2. Reasoning: A priori method (proposed by Charles Peirce): a
person develops a belief by reasoning, listening to others’ reasoning, and
drawing on previous intellectual knowledge – not based on experience or direct
observation. So now that we have a firm
grounding in some of the basic theories and theorists within psychology, and a
basic understanding of the multiple conceptions of personality and how it
develops, the logical next step is to explore how we come to these conclusions
with regard to models of personality and other psychological concepts. In other
words, how do we scientifically ascertain whether these theories hold water,
and how we can most accurately quantify and categorize human behavior, while
still attempting to allow for the grey area of individual differences?
Well, Psychological Research is defined as the scientific
exploration, designed to describe, predict, and control human behavior, and to
understand the hard facts of the human mind across diverse psychological and
cross-cultural populations.
Ø first way is
Authority, because someone told us that something is true. This could be any
authority figure, like a professor, or someone in the media. Because someone
told us it’s the truth, we often believe it to be so. Obviously, this has
issues from a scientific perspective. When engaging in research we can’t rely
on what others tell us alone, we need to have hard, replicable data to support
it.
Ø The second
method is Reasoning. The main method of reasoning is the A priori method
(proposed by Charles Peirce): where a person develops a
8. Experience-Based
errors in thinking:
Availability Heuristic - An availability heuristic is a
mental shortcut that relies on immediate examples that come to mind.
As a result, you might judge that those events are more
frequent and possible than others and tend to overestimate the probability and
likelihood of similar things happening in the future.
Finally, the last
common error in psychological research is the Availability Heuristic is a
mental shortcut that relies on immediate examples that come to mind.
When you are
trying to make a decision, a number of related events or situations might
immediately spring to the forefront of your thoughts. As a result, you might
judge that those events are more frequent and possible than others. You give
greater credence to this information and tend to overestimate the probability
and likelihood of similar things happening in the future.
20. Ethnography (Ethnographic Methods):
Ethnographic methods: A type of social scientific method that gains insight
into social relations through participant observation, interviews, and the
analysis of art, texts, and oral histories. It is commonly used to analyze
culture and is the most common method of anthropology.
Social Science Research Methods In the scientific community, and particularly
in psychology and health, there has been an
active and ongoing debate on the relative merits of adopting either
quantitative or qualitative methods, especially when researching into human
behavior
(Bowling, 2009; Oakley, 2000; Smith, 1995a,
1995b; Smith, 1998). In part, this debate formed a component of the development
in the 1970s of our thinking about science. Andrew Pickering has described this
movement as the “sociology of scientific knowledge” (SSK), where our scientific
understanding, developing scientific ‘products’ and ‘know-how’, became
identified as forming components in a wider engagement with society’s
environmental and social context
(Pickering, 1992, pp.
1). Since that time, the debate has continued so that today there is an
increasing acceptance of the use of qualitative methods in the social sciences
Grounded Theory - is frequently considered to offer researchers a suitable qualitative
method for in-depth exploratory investigations. . It is a rigorous approach
which provides the researcher with a set of systematic strategies and assumes
that when investigating social processes qualitatively from the bottom up there
will be an emergence of a working theory about the population from the
qualitative data (Willig, 2008, pp. 44).
qualitative or
quantitative components can predominate, or both can have equal status.
1. Types of
Unscientific thinking :
(UN) SCIENTIFIC THINKING: Because someone told us that something is
true.
Not adhering to the principles of science. Not
knowledgeable about science or the scientific method.
belief by reasoning, listening to others’ reasoning,
and drawing on previous intellectual knowledge – not based on experience or
direct observation. While this might work when developing opinions in
day-to-day life, we can’t say that this gives us hard facts that are
generalizable to any population. Opinions derived from this method, however can
be said to create a good starting point for research.
Not adhering to the principles of science.
Not knowledgeable about science or the scientific
method.
not scientific; not employed in science.
not conforming to the principles or methods of
science.
not demonstrating scientific knowledge or scientific
methods.
Not consistent with the methods or principles of
science; "an unscientific lack of objectivity"Unreliable self-report
data
Unsubstantiated observations
Post-hoc, unsystematic summaries
Speculation and over generalization
2. Experience-Based errors in thinking: Experimental methods: The
most powerful method used in the social sciences, albeit the most difficult to
use. It manipulates individuals in a particular way (the treatment) and
explores the impact of this treat- ment. It offers powerful insight by controlling
the environment, thereby allowing researchers to isolate the impact of the
treatment. Experience-Based errors in thinking: Availability Heuristic - An
availability heuristic is a mental shortcut that relies on immediate examples
that come to mind.
As a result, you might
judge that those events are more frequent and possible than others and tend to
overestimate the probability and likelihood of similar things happening in the
future.
Finally, the last
common error in psychological research is the Availability Heuristic is a
mental shortcut that relies on immediate examples that come to mind.
When you are trying to
make a decision, a number of related events or situations might immediately
spring to the forefront of your thoughts. As a result, you might judge that
those events are more frequent and possible than others. You give greater
credence to this information and tend to overestimate the probability and
likelihood of similar things happening in the future.
The term was first
coined in 1973 by psychologists Amos Tversky and Daniel Kahneman. They
suggested that the availability heuristic occurs unconsciously and operates
under the principle that "if you can think of it, it must be
important." Things that come to mind more easily are believed to be far
more common and more accurate reflections of the real world.
3. The scientific method: A way of
knowing characterized by the attempt to apply systematic, objective, empirical
methods when searching for causes of natural events.
Probabilistic Statistical determinism:
Based on what we have observed, is the likelihood of two events occurring
together (whether causal, predictive, or simple relational) greater than
chance?
Objectivity: without bias of the
experimenter or participants.
Data-driven: conclusions are based on
the data-- objective information.
Well, we have what is known as the
scientific method:
The Scientific Method Is a way of
knowing characterized by the attempt to apply systematic, objective, empirical
methods when searching for causes of natural events.
It utilizes probabilistic statistical
determinism, asking the data given what we have observed, is the likelihood of
two events occurring together (whether causal, predictive, or simple
relational) greater than chance?
It utilizes, or attempts to utilize
Objectivity: producing or participating in research without bias of the
experimenter or participants.
And finally, and most importantly, its
Data-driven: conclusions are based on the data-- objective information, and
mathematical facts.
Steps of The Scientific Method
Ask a Question
Do Background Research
Construct a Hypothesis
Test Your Hypothesis by Doing an
Experiment
Analyze Your Data and Draw a Conclusion
Communicate Your Results
Scientific Thinking in Research
CRITERIA FOR SCIENTIFIC METHOD:
Empirical: All information is based on
observation.
Objectivity: Observations are verified
by others.
Systematic: Observations are made in a
step-by-step fashion.
Controlled: Potentially confusing
factors are eliminated.
Public: Built on previous research,
open to critique and replication, building towards theories
Lawful: Every event can be understood
as a sequence of natural causes and effects.
Determinism: Events and behaviors have
causes.
Discoverability: Through systematic
observation, we can discover causes – and work towards more certain and
comprehensive explanations through repeated discoveries.
Now all of this couldn’t work if we
didn’t make some assumptions about behavior when engaging in scientific
research.
We assume, as experimental
psychologists that:
Lawful: Every event can be understood
as a sequence of natural causes and effects.
As psychological researchers we believe
in Determinism: That events and behaviors have causes. And we also believe in
Discoverability: Through systematic observation, we can discover causes – and
work towards more certain and comprehensive explanations through repeated
discoveries.
Research Question
Deduction: Reasoning from a set of
general statements towards the prediction of some specific event. Based on a
theory, one can deduct an event or behavior given particular conditions.
Hypothesis: Prediction about specific
events that is derived from the theory.
Induction: Logical process of reasoning
from specific events to the theory (either confirming or disproving the
theory).
From theory to actual research So what
is the Relationship between theory and data you might ask?
Well the first relationship is
Deduction: Reasoning from a set of general statements towards the prediction of
some specific event. Based on a theory, one can deduct an event or behavior
given particular conditions.
The second is that we can form a
Hypothesis: Prediction about specific events that is derived from the theory.
And finally, the last one is Induction:
Logical process of reasoning from specific events to the theory (either
confirming or disproving the theory).
https://www.youtube.com/watch?v=E2Q3-OHyeUA
The various methodologies of social
science research, but before we do so we will review a bit some of the core
aspects of the research process.
So, in common with other sciences,
psychology and sociology are both concerned with theories and with data.
A theory provides a general explanation
or account of certain findings or data. It also generates a number of
experimental hypotheses, which are predictions or expectations about behavior
based on the theory. For example, someone might propose a theory in which it is
argued that some people are more
hostile than others. This theory could be used to produce various hypotheses or
predictions, such as the following: hostile people will express anger more
often than non-hostile ones; hostile people will react more strongly than
non-hostile
ones to frustrating situations; hostile
people will be more sarcastic than non-hostile people.
Psychologists spend a lot of their time
collecting data in the form of measures of behavior. Data are collected in
order to test various hypotheses. Most people assume that this data collection
involves proper or true experiments carried out under laboratory conditions,and
it is true that literally millions of laboratory experiments have been carried
out in psychology. However, psychologists make use of several methods of
investigation,each of which has provided useful information about human
behavior.
As you read through the various methods
of investigation in your textbook and listen to them in our lectures, it is
natural to wonder which methods are the best and the worst as was the topic in
our last discussion question. In some ways, it may be more useful to compare
the methods used by psychologists to the clubs used by the golf professional.
The driver is not a better or worse club than the putter, it is simply used for
a different purpose.
In similar fashion, each method of
investigation used by psychologists is very useful for testing some hypotheses,
but is of little or no use for testing other hypotheses.
However, as we will discuss further the
experimental method provides the best way of being able to make inferences
about cause and effect.
4.
Assumptions about behavior in research: Assumptions about behavior in
research: ASSUMPTIONS
ABOUT BEHAVIORS OR OBSERVATIONS:
Social Science Research Methods In many studies, use is made of
pre-existing groups of people. For example, we might compare the performance of
males and females, or that of young and middle-aged individuals.
Do such studies qualify as genuine experiments? The
answer is “No”. Use of the experimental method requires that the independent
variable is manipulated by the experimenter, but clearly the experimenter
cannot decide whether a given person is going to be male or female for the
purposes of the study! What is generally regarded as the greatest advantage of
the experimental method is that it allows us to establish cause and effect
relationships. In the terms we have been using, the independent variable in an
experiment is often regarded as a cause, and the dependent variable is the
effect. Philosophers of science have argued about whether or not causality can
be established by experimentation.
However, the general opinion is that causality can only be inferred. If y (e.g.
poor performance) follows x (e.g. intense noise), then it is reasonable to
infer that x caused y.
5. Theory: Definition of a theory: A set of logically consistent
statements about some psychological phenomenon that best summarizes existing
empirical knowledge of the phenomenon organizes this knowledge in the form of
precise statements of the relationship among variables provides a tentative
explanation for the phenomenon serves as a basis for making predictions about
behavior. So we have our method, we have our assumptions, so how do we actually
do research? Relationship between theory and data
6. Hypothesis: Prediction about specific events that
is derived from the theory. Induction: Logical process of reasoning from
specific events to the theory (either confirming or disproving the theory).
Definition: A way of
knowing characterized by the attempt to apply systematic, objective, empirical
methods when searching for causes of natural events. Probabilistic Statistical
determinism: Based on what we have observed, is the likelihood of two events occurring
together (whether causal, predictive, or simple relational) greater than
chance? Objectivity: without bias of the experimenter or participants.
Data-driven: conclusions are based on the data-- objective information.
Data-driven: conclusions are based on the data-- objective information.
7
8. Relationship between theory and data
9. Method: A technique used to analyze data.
Commonly, a method is aligned with a particular strategy for gathering data, as
particular methods commonly require particular types of data. “Method” is
therefore commonly used to refer to strategies for both analyzing and gathering
data.
10. Methodology: A body of practices, procedures, and rules used by
researchers to offer insight into the workings of the world.
11. Insight: Evidence contributing to an understanding of a
case or set of cases. Comparative-historical researchers are generally most concerned
with causal insight, or insight into causal processes
12. Comparative Historical Analysis (Know
different types): Comparative Historical Analysis (Know different
types): Comparative methods: Diverse methods used in the social sciences that
offer insight through cross-case comparison. For this, they com- pare the
characteristics of different cases and highlight similarities and
historical analysis in
recognition of the tradi- tion’s growing multidisciplinary character. In
addition to sociology, comparative-historical analysis is quite prominent in
political science and is present—albeit much more marginally—in history,
economics, and anthropology. differences between them. Comparative methods are
usually used to explore causes that are common among a set of cases. They are
commonly used in all social scientific disciplines.
4 types of
comparative-historical research
i.
Historical Events Research –focuses on one short historical period (1
case, 1 time period)
ii.
Historical Process Research –traces a sequence of events over a number of
years (1 case, many time periods)
iii.
Cross-sectional Comparative Research -- comparing data from one time
period between two or more nations (many cases, 1 time period)
iv.
Comparative Historical Research – longitudinal comparative research (many
cases) over a prolonged period of time
Comparative and
Historical Research by number of cases and length of time studied Historical
Methods
13. Epistemology: A branch of philosophy that considers the
possibility of knowledge and understanding. Within the social sciences,
epistemological debates commonly focus on the possibility of gaining insight
into the causes of social phenomena
14. Variable: Something that the researcher/experimenter can
measure.
15. Positivism: An epistemological approach that was popular among
most of the founding figures of the social sciences. It claims that the
scientific method is the best way to gain insight into our world. Within the social
sciences, positivism suggests that scientific methods can be used to analyze
social relations in order to gain knowledge. At its extreme, positivism
suggests that the analysis of social relations through scientific methods
allows researchers to discover laws that govern all social relations.
Positivism is therefore linked to nomothetic explanations. Other positivists
believe social complexity prevents the discovery of social laws, but they still
believe that the scientific method allows researchers to gain insight into the
determinants of social phenomena.
16. Ethnography (Ethnographic Methods) A type of social scientific
method that gains insight into social relations through participant
observation, interviews, and the analysis of art, texts, and oral histories. It
is commonly used to analyze culture and is the most common method of
anthropology.
17. Case Study (definition, when it is used,
different types) Case Study (Within-case methods): A category of methods used
in the social sciences that offer insight into the determinants of a particular
phenomenon for a particular case. For this, they analyze the processes and
characteristics of the case.
18. Meta analysis: A study of multiple Case Studies
1. The logic for such a cross-case synthesis
emulates that used in addressing whether the findings from a set of multiple
experiments—too small in number to be made part of any quantitative
meta-analysis (a study of the results of other studies)—support any broader
pattern of conclusions.
2. The
replication or corroboratory frameworks can vary. In a direct replication, the
single cases would be predicted to arrive at similar results. Discussed earlier
was the desire to apply a replication logic in interpreting the findings across
the cases in a multiple-case study. The logic for such a cross-case synthesis
emulates that used in addressing whether the findings from a set of multiple
experiments—too small in number to be made part of any quantitative meta-analysis—support
any broader pattern of conclusions. The
replication or corroboratory frameworks can vary. In a direct replication, the
single cases would be predicted to arrive at similar results. In a theoretical replication, each single
case’s ultimate disposition also would have been predicted beforehand, but each
case might have been predicted to produce a varying or even contrasting result,
based on the preconceived propositions. Even more complex could be the
stipulation and emergence of a typology of cases based on a multiple-case
study.
19. Ideographic Explanation: Ideographic explanation:
Causal explanations that explore the causes of a particular case. Such
explanations are not meant to apply to a larger set of cases and commonly focus
on the particularities of the case under analysis
23. Validity: internal and external Objectivity can be achieved form
a thorough review of the literature and the development of a theoretical
framework. The literature review should
be presented so that the reader can judge the objectivity of the research
questions. Purpose of Research Design Provides the plan or blueprint for
testing research questions and hypotheses. Involves structure and strategy to
maintain control and intervention fidelity.
26. Variable: Something that
the researcher/experimenter can measure.
27. Independent Variable: The variable the experimenter has control
over, can change in some way to see if it has an effect on other variables in
the study.
28. Dependent Variable: The variable that is measured to see if a
place: change takes.
29. Control
Variable: The variable that is not manipulated that serves
as a comparison group from the other variables in the study. This third
variable is used to ensure that the independent variable, when manipulated is
actually having an effect on the dependent variable. For example, if a similar
change occurs in the control variable as the dependent variable, this indicates
that the change may not be the result of the independent variable manipulation
and may be a natural change in the variable. In a experiment the researcher
manipulates the independent variable to see if it has an effect on the
dependent variable.
30. Cross-sectional vs. longitudinal research:
Control: Achieved with
steps taken by the searcher to hold the conditions of the study uniform and
avoid or decrease the effect of intervening, extraneous, or mediating variables
of the dependent variable or outcome.
Intervention Fidelity
Intervention fidelity:
Ensures that every subject receiving the intervention of treatment receive the
identical intervention or treatment.
Intervening,
Extraneous, Or Mediating Variables.
CRITERIA FOR SCIENTIFIC METHOD:
Empirical: All
information is based on observation.
Objectivity:
Observations are verified by others.
Systematic:
Observations are made in a step-by-step fashion.
Controlled:
Potentially confusing factors are eliminated.
Basic vs. Applied Research : Goal of describing, predicting, & explaining
fundamental principles of behavior vs. solving real-life problems
2. Laboratory Research versus Field Research Research in controlled laboratories vs. uncontrolled or
real-life contexts is actually more crucial. The use of statistics to analyze
the data is, however, the element that puts a lot of people off doing
quantitative research, as the mathematics underlying the methods seems
complicated and frightening. As we will see later on in this book, most
researchers do not really have to be particularly expert in the mathematics
underlying the methods, as computer software allows us to do the analyses
quickly and (relatively) easily.
Variable : Independent Variable (X) The
independent variable is: the variable that the researcher hypothesiszes will
have an effect on the dependent variable
Usually manipulated
(experimental study)
The independent
variable is: manipulated by means of a program, treatment, or intervention done
to only one group in the study (experimental group )
The control group gets
the standard treatment or no treatment.
Dependent Variable: Independent Variable (X)
16) Can we generalize at all from a Case Study?
To the extent that any
study concerns itself with generalizing, case studies tend to generalize to
other situations (on the basis of analytic claims), whereas surveys and other
quantitative methods tend to generalize to populations (on the basis of
statistical claims).
determine whether you
can make any generalizations from your case study. One available procedure
applies well to all kinds of case studies, including the holistic, single-case
study that has been commonly criticized for having little or no
generalizability
EXPERIMENTAL METHOD
The method of
investigation used most often by psychologists is the experimental method. In
order to understand what is involved in the experimental method, we will
consider a concrete example.
Dependent and
independent variables
Suppose that a
psychologist wants to test the experimental hypothesis that loud noise will
have a disruptive effect on the performance of a task. As with most hypotheses,
this
known types of errors
in experience-based conclusions and in psychological research in general.
Experience based
errors in thinking Illusory Correlation
Definition: thinking that one has observed an association
between events that
(a) doesn’t exist,
(b) exists but is not as strong as is
believed,
or (c) is in the opposite direction from what
is believed.
The first one is an Illusory Correlation, or thinking
that one has observed an
association between events that either:
Experience based errors in thinking:
Confirmation Bias –
In psychology and
cognitive science, confirmation bias (or confirmatory bias) is a tendency to
search for or interpret information in a way that confirms one's preconceptions,
leading to statistical errors.
The second error in thinking is Confirmation Bias – Comparative
methods: Diverse methods used in the social sciences that offer insight through
cross-case comparison. For this, they com- pare the characteristics of
different cases and highlight similarities and differences between them.
Comparative methods are usually used to explore causes that are common among a
set of cases. They are commonly used in all social scientific disciplines.
Epistemology: A branch of philosophy that
considers the possibility of knowledge and understanding. Within the social
sciences, epistemological debates commonly focus on the possibility of gaining
insight into the causes of social phenomena.
Experimental methods: The most powerful method used in the
social sciences, albeit the most difficult to use. It manipulates individuals
in a particular way (the treatment) and explores the impact of this treat-
ment. It offers powerful insight by controlling the environment, thereby allowing
researchers to isolate the impact of the treatment.
Case Study (Within-case methods): A category of methods used in
the social sciences that offer insight into the determinants of a particular
phenomenon for a particular case. For this, they analyze the processes and
characteristics of the case.
Ideographic explanation: Causal explanations that explore the causes of a
particular case. Such explanations are not meant to apply to a larger set of
cases and commonly focus on the particularities of the case under analysis.
Insight: Evidence contributing to an understanding of a case or
set of cases. Comparative-historical researchers are generally most concerned
with causal insight, or insight into causal processes.
Statistical methods: The most common subtype of comparative methods. It operationalizes
variables for several cases, compares the cases to explore relationships
between the variables, and uses probability theory to estimate causal effects
or risks. Within the social sciences, statistics uses natural variation to
approximate experimental methods. There are diverse subtypes of statistical
methods.
Variable: Something that the researcher/experimenter can measure.
Independent Variable:
The variable the experimenter has control over, can change in some way to see
if it has an effect on other variables in the study.
Dependent Variable:
The variable that is measured to see if a change takes place:
Control Variable: The variable that is not manipulated that serves as a comparison group
from the other variables in the study. This third variable is used to ensure
that the independent variable, when manipulated is actually having an effect on
the dependent variable. For example, if a similar change occurs in the control
variable as the dependent variable, this indicates that the change may not be
the result of the independent variable manipulation and may be a natural change
in the variable.
In a experiment the
researcher manipulates the independent variable to see if it has an effect on
the dependent variable.
Empirical: All information is based on observation.
Objectivity: Observations are verified by others.
Systematic: Observations are made in a step-by-step fashion.
Controlled: Potentially confusing factors are eliminated.
Public: Built on previous research, open to critique and
replication, building towards theories
Hypothesis: Prediction about specific events that is derived
from the theory.
Induction: Logical process of reasoning from specific events to
the theory (either confirming or disproving the theory).
Relationship between theory and data
Deduction: Reasoning from a set of general statements towards
the prediction of some specific event. Based on a theory, one can deduct an
event or behavior given particular conditions.
Ø Scientific Method: Definition: A way of knowing characterized by the attempt to
apply systematic, objective, empirical methods when searching for causes of
natural events.
Probabilistic Statistical
determinism: Based on what we have
observed, is the likelihood of two events occurring together (whether causal,
predictive, or simple relational) greater than chance?
Objectivity: without bias of the experimenter or participants.
Data-driven: conclusions are based on the data-- objective information.
Well, we have what is
known as the scientific method:
Steps of The Scientific Method
Ø Ask a
Question
Ø Do
Background Research
Ø Construct a Hypothesis
Ø Test
Your Hypothesis by Doing an Experiment
Ø Analyze
Your Data and Draw a Conclusion
Ø Communicate Your Results
Scientific Thinking in
Research
CRITERIA FOR
SCIENTIFIC METHOD:
Empirical: All
information is based on observation.
Objectivity:
Observations are verified by others.
Systematic:
Observations are made in a step-by-step fashion.
Controlled:
Potentially confusing factors are eliminated.
Public: Built on
previous research, open to critique and replication, building towards theories
Lawful: Every event can be understood as a sequence of natural causes and
effects.
Determinism: Events
and behaviors have causes.
Discoverability:
Through systematic observation, we can discover causes – and work towards more
certain and comprehensive explanations through repeated discoveries.
External Validity - The extent to which a study's results
(regardless of whether the study is descriptive or experimental) can be
generalized/applied to other people or settings reflects its external validity.
Typically, group research employing randomization will initially possess higher
external validity than will studies (e.g., case studies and single-subject
experimental research) that do not use random selection/assignment. Internal
Validity
External Validity Reliability and Validity and Field Vs. Laboratory
Research Field Research: High internal validity, low external validity,
Low reliability.
Laboratory Research: High external validity, low internal validity, High reliability.
Social Science
Research Methods
Comparative- Historical methods
Since the rise of the
social sciences, researchers have used comparative- historical methods to
expand insight into diverse social phenomena and, in so doing, have made great
contributions to our understanding of the social world.
Comparative-Historical
Analysis
Mahoney and
Rueschemeyer (2003) refer to it as comparative-historical analysis in
recognition of the tradition’s growing multidisciplinary character. In addition
to sociology, comparative-historical analysis is quite prominent in political
science and is present—albeit much more marginally—in history, economics, and
anthropology.
4 types of
comparative-historical research
• Historical Events
Research –focuses on one short historical period (1 case, 1 time period)
• Historical Process
Research –traces a sequence of events over a number of years (1 case, many time
periods)
• Cross-sectional Comparative Research comparing data
from one time period between two or more nations (many cases, 1 time period)
• Comparative
Historical Research – longitudinal comparative research (many cases)
Comparative and
Historical Research by number of cases and length of time studied
Comparative and
Historical Research by number of cases and length of time studied
How do we understand Comparative Historical Research?
comparative-historical
analysis has four main defining elements. Two are methodological, as works
within the research tradition employ both within-case methods and comparative
methods. Comparative-historical analysis is also defined by epistemology.
Specifically, comparative-historical works pursue social scientific insight and
therefore accept the possibility of gaining insight through
comparative-historical
Secondary Sources – Collecting data from others who have already
collected the data such as news papers, magazines, and interviews.These sources
of data are prone to the bias of the source, therefore the data may be somewhat
inaccurate.
• Narrative. It researches a story involving specific actors and other events
occurring at the same time (Abbott, 1994:102), or one that takes account of the
position of actors and events in time and in a unique historical context
(Griffin, 1992).
• Inductive. The
research develops an explanation for what happened from the details discovered
about the past.
Historical Events Research & Event-Structure Analysis
It often utilizes a
process known as Historical Events Research.
Historical events
research is research on past events that does not follow processes for some
long period of time—that is basically cros-ssectional—is historical events
research rather than historical process research.
Event Structure
Analysis is a qualitative approach that relies on a systematic coding of key
events or national characteristics to identify the underlying structure of
action in a chronology of events.
Case Study Method: “An empirical inquiry about a contemporary phenomenon (e.g., a “case”),
set within its real-world context—especially when the boundaries between
phenomenon and context are not clearly evident (Yin, 2009a, p. 18; SagePub,
2014)’
The case study method embraces the full set of procedures needed to do
case study research. These tasks include designing a case study, collecting the
study’s data, analyzing the data, and presenting and reporting the results All
case study research starts from the same compelling feature: the desire to
derive an up-close or otherwise in-depth understanding of a single or small
number of “cases,” set in their real-world contexts (e.g., Bromley,
1986, p. 1). The closeness aims to
produce an invaluable and deep understanding—that is, an insightful
appreciation of the “case(s)”—hopefully resulting in new learning about
real-world behavior and its meaning. The distinctiveness of the case study,
therefore, also serves as its abbreviated definition:
3) Assumptions: “Among other features, case study
research assumes that examining the context and other complex conditions
related to the case(s) being studied are integral to understanding the case(s)
(SagePub, 2014).”
Thus, among other
features, case study research assumes that examining the context and other
complex conditions related to the case(s) being studied are integral to
understanding the case(s). The in-depth
focus on the case(s), as well as the desire to cover a broader range of
contextual and other complex conditions, produce a wide range of topics to be
covered by any given case study. In this sense, case study research goes beyond
the study of isolated variables. As a by-product, and as a final feature in
appreciating case study research, the relevant case study data are likely to
come from multiple and not singular sources of evidence.
4) When to use the Case Study Method: “First
and most important, the choices among different research methods, including the
case study method, can be determined by the kind of research question that a
study is trying to address (e.g., Shavelson & Towne, 2002, pp. 99–106,
SagePub, 2014).”
“Second, by
emphasizing the study of a phenomenon within its real-world context, the case
study method favors the collection of data in natural settings, compared with
relying on “derived” data (Bromley, 1986, p. 23, SagePub, 2014)”
Third, the case study
method is now commonly used in conducting evaluations (SagePub, 2014).
11) Presenting your Case: You need to present the evidence in your case
study with sufficient clarity (e.g., in separate texts, tables, and exhibits)
to allow readers to judge independently your later interpretation of the data.
Ideally, such evidence
will come from a formal case study database that you compile for your files
after completing your data collection.
Properly dealing with
case study evidence requires a final but essential practice:
You need to present
the evidence in your case study with sufficient clarity (e.g., in separate
texts, tables, and exhibits) to allow readers to judge independently your later
interpretation of the data. Ideally, such evidence will come from a formal case
study database that you compile for your files after completing your data
collection.
Unfortunately, older
case studies frequently mixed evidence and interpretation.
This practice may
still be excusable when doing a unique case study or a revelatory
case study, because
the insights may be more important than knowing the strength of the evidence
for such insights. However, for most case studies, mixing evidence and
interpretation may be taken as a sign that you do not understand the difference
between the two or that you do not know how to handle data (and hence proceeded
prematurely to interpretation)
13) Techniques
Pattern-Matching
Open-Ended Questions
Time-Series-Like
Analysis
If selecting your
case(s) to be studied is the most critical step in doing case study research,
analyzing your case study data is probably the most troublesome.
Much of the problem
relates to false expectations: that the data will somehow “speak for
themselves,” or that some counting or tallying procedure will be sufficient to
produce the main findings for a case study. Wrong. Instead, consider the
following alternatives. You actually made some key assumptions for your analysis
when you defined your research questions and your case. Was your motive in
doing the case study mainly to address your research questions? If so, then the
techniques for analyzing the data might be directed at those questions first.
Was your motive to derive more general lessons for which your case(s) are but
examples? If so, your analysis might be directed at these
21. Case Study (definition, when it is used,
different types):
Case Study Data Analysis Whether
using computer software to help you or not, the researcher will be the one who
must define the codes to be used and the procedures for logically piecing
together the coded evidence into broader themes—in essence creating your own
unique algorithm befitting your particular case study. The strength of the
analytic course will depend on a marshaling of claims that use your data in a
logical fashion.
Your analysis can
begin by systematically organizing your data (narratives and words) into
hierarchical relationships, matrices, or other arrays (e.g., Miles &
Huberman, 1994).
Case study analysis
takes many forms, but none yet follow the routine procedures that may exist
with other research methods. The absence of any cookbook for analyzing case
study evidence has been only partially offset by the development of prepackaged
computer software programs. They can support the analysis of large amounts of
narrative text by following your instructions in coding and categorizing your
notes or your verbatim transcripts. However, unlike software for analyzing numeric
data, whereby an analyst provides the input data and the computer uses an
algorithm to estimate some model and proceeds to produce the output data, there
is no automated algorithm when analyzing narrative data
24. Basic vs.
Applied Research :
Basic versus Applied
Research
Goal of describing,
predicting, & explaining fundamental principles
of behavior vs.
solving real-life problems
2. Laboratory Research
versus Field Research
Research in controlled
laboratories vs. uncontrolled or real-life contexts
3. Quantitative versus
Qualitative Research
Descriptive &
inferential statistics vs. narrative analysis (e.g., case studies,
observational research, interviews)
27. Quantitative vs. Qualitative research: Quantitative Research: An Overview
Mathematically
based Often uses survey-based measures
to collect data
Often collects data on
what is known as a “Likert-scale” a 4-7 point numerical scale which a
participant rates agreement Uses
statistical methodology to analyze numerical data As quantitative research is essentially about
collecting numerical
data to explain a
particular phenomenon, particular questions seem immediately
suited to being
answered using quantitative methods
The number of
phenomena we can study in this way is almost unlimited, making quantitative
research quite flexible. This is not to say that all phenomena are best studied
by quantitative methods. As we will see, while quantitative methods have some
notable advantages, they also have
disadvantages, which
means that some phenomena are better studied by
using different
(qualitative) methods.
The last part of the
definition refers to the use of mathematically based
methods, in particular
statistics, to analyze the data. This is what people
usually think about
when they think of quantitative research,
and is often seen as
the most important part of quantitative studies. This is a bit of a
misconception, as, while using the right data analysis tools obviously matters
a great deal, using
the right research design and data collection instruments
is actually more
crucial. The use of statistics to analyze the data is, however, the element
that puts a lot of people off doing quantitative research, as the mathematics
underlying the methods seems complicated and frightening. As we will see later
on in this book, most researchers do not really have to be particularly expert
in the
6) When to use Quantitative Research
1) When we are looking for a numerical answer
2) When we want to study numerical change
3) When we want to find out about the state of
something or to explain a phenomena
4) When we want to test a hypothesis
If we take a pragmatic
approach to research methods, the main question
that we need to answer
is ‘what kind of questions are best answered by
using quantitative as
opposed to qualitative methods?’
There are four main
types of research questions that quantitative research
is particularly suited
to finding an answer to:
1. The first type of
research question is that demanding a quantitative
answer. Examples are:
‘How many students choose to study education?’
or ‘How many math
teachers do we need and how many have we got in
our school district?’
That we need to use quantitative research to answer
this kind of question
is obvious. Qualitative, non-numerical methods
will obviously not
provide us with the (numerical) answer we want.
2. Numerical change
can likewise accurately be studied only by using quantitative
methods. Are the
numbers of students in our university rising or
falling? Is
achievement going up or down? We’ll need to do a quantitative
study to find out.
3. As well as wanting
to find out about the state of something or other, we
often want to explain
phenomena. What factors predict the recruitment
of math teachers? What
factors are related to changes in student
achievement over time?
As we will see later on in this book, this kind of
question can also be
studied successfully by quantitative methods, and
many statistical
techniques have been developed that allow us to predict
scores on one factor,
or variable (e.g. teacher recruitment) from scores on
one or more other
factors, or variables (e.g. unemployment rates, pay,
conditions).
4. The final activity
for which quantitative research is especially suited is
the testing of
hypotheses. We might want to explain something – for
example, whether there
is a relationship between pupil’s achievement
and their self-esteem
and social background. We could look at the theory
and come up with the
hypothesis that lower social class background
leads to low
self-esteem, which would in turn be related to low achievement.
Using quantitative
research, we can try to test this kind of model.
Problems one and two
above are called ‘descriptive’. We are merely trying
to describe a
situation. Three and four are ‘inferential’. We are trying to
explain something
rather than just describe it.
7) Advantages and Disadvantages: Quantitative
Quantitative
Advantages:
Concise
Accurate
Strictly Controlled
Replicable
Can indicate causation
Ideally is objective
Quantitative Disadvantages:
Limited understanding
of individuality
Groups people into
categories
Can be accused of
oversimplifying human nature
When we think about
the advantages of quantitative research, the first thing we will acknowledge is
that it is the dominant approach in psychological research. Its concise,
accurate and can be strictly controlled to ensure that the results are
replicable and that causation is established. Quantitative data also has
predictive power in that research can be generalized to a different setting. It
can also be a lot faster and easier to analyze qualitative data.
While Quantitative research , there are other types of
questions that are not
well suited to quantitative methods.
1. The first situation where quantitative research
will fail is when we want
to explore a problem in depth. Quantitative
research is good at providing
information in breadth, from a large number of
units, but when we
want to explore a problem or concept in depth,
quantitative methods
can be too shallow. To really get under the skin of
a phenomenon, we
will need to go for ethnographic methods,
interviews, in-depth case
studies and other qualitative techniques.
2. We saw above that quantitative research is well
suited for the testing of
theories and hypotheses. What quantitative methods
cannot do very
well is develop hypotheses and theories. The
hypotheses to be tested may
come from a review of the literature or theory, but
can also be developed
by using exploratory qualitative research.
3. If the issues to be studied are particularly
complex, an in-depth qualitative
study (a case study, for example) is more likely to
pick up on this
than a quantitative study. This is partly because
there is a limit to how
many variables can be looked at in any one
quantitative study, and partly
because in quantitative research the researcher
defines the variables to be
studied herself, while in qualitative research
unexpected variables may
emerge.
4. Finally, while quantitative methods are best for
looking at cause and
effect (causality, as it is known), qualitative
methods are more suited to
looking at the meaning of particular events or
circumstances.
Focus on “language rather than numbers”
“Embraces
“intersubjectivity” or how people may construct meaning…”
Focus on the
individual and their real lived experience
Qualitative methods
have much to offer when we need to explore people’s feelings or ask
participants to
reflect on their experiences. As was noted above, some of the earliest
psychological thinkers
of the late 19th century and early 20th century may be regarded as
proto-qualitative
researchers. Examples include the ‘founding father’ of psycho-analysis,
Sigmund Freud, who
worked in Vienna (late 19th century – to mid 20th century), recorded
and published numerous
case-studies and then engaged in analysis, postulation and
theorizing on the
basis of his observations, and the pioneering Swiss developmental
psychologist, Jean
Piaget (1896 – 1980) who meticulously observed and recorded his
children’s developing
awareness and engagement with their social world. They were
9) Advantages and
Disadvantages: Qualitative
Qualitative Advantages:
Appreciates research
participant’s individuality
Provides insider view
of research question
Less structured than
quantitative approach
Qualitative
Disadvantages:
Not always appropriate
to generalize results to larger population
10) Qualitative
Research in Psychology
Today, a growing
number of psychologists are re-examining and re-exploring qualitative
methods for
psychological research, challenging the more traditional ‘scientific’
experimental approach
(see, for example, Gergen, 1991; 1985; Smith et al., 1995a, 1995b).
There is a move
towards a consideration of what these other methods can offer to
psychology ( Bruner,
1986; Smith et al.,1995a
Content and Thematic Analysis
Grounded Theory
(Generating Theory from Data)
Discourse and
Narrative Analysis
12) When to use Qualitative Research Content and Thematic Analysis - Content
Analysis, or Thematic Analysis (the terms are frequently used interchangeably
and generally mean much the same), is particularly useful for conceptual, or
thematic, analysis or relational analysis. It can quantify the occurrences of
concepts selected for examination (Wilkinson & Birmingham, 2003).
Randomization Each subject in the study has an
equal chance of being assigned to the control group or the experimental group.
Assumes that any
important intervening, extraneous, or mediating variable will be equally
distributed between the groups, minimizing variance and decreasing selection
bias.
Internal Validity
Asks whether the
independent variable really made the difference or the change in the dependent
variable.
Established by ruling
out other factors or threats as rival explanations.
Threats to internal
validity
History: an event,
other than the intervention, that might have an effect on the dependent
Experience: is the study based on the researcher’s experience and interest?
Ethics: could subject be harmed?
CONTROL
Control: Achieved with
steps taken by the searcher to hold the conditions of the study uniform and
avoid or decrease the effect of intervening, extraneous, or mediating variables
of the dependent variable or outcome.
Intervention Fidelity
Intervention fidelity:
Ensures that every subject receiving the intervention of treatment receive the
identical intervention or treatment.
Intervening,
Extraneous, Or Mediating Variables.
Variables that occur
during the study that interfere with or influence the relationship between the
independent and dependent variables.
Intervening and
mediating variables are processes that occur during the study.
Extraneous variables
are subject, researcher, or environmental characteristics that might influence
the dependent variable. “muck up the study!!!!”
Controlling Extraneous
Variables
Using a homogeneous
sample
Using consistent
data-collection procedures- constancy.
8. Method : Method: A technique used to analyze data. Commonly, a
method is aligned with a particular strategy for gathering data, as particular
methods commonly require particular types of data. “Method” is therefore
commonly used to refer to strategies for both analyzing and gathering data.
Methodology: A body of practices, procedures, and rules used by researchers to offer
insight into the workings of the world.
Ø 11. Comparative Historical Analysis
(Know different types):
historical
analysis in recognition of the tradi- tion’s growing multidisciplinary
character. In addition to sociology, comparative-historical analysis is quite
prominent in political science and is present—albeit much more marginally—in
history, economics, and anthropology.
4 types
of comparative-historical research;
Historical
Events Research –focuses on one short historical period (1 case, 1 time period)
Historical
Process Research –traces a sequence of events over a number of years (1 case,
many time periods) Cross-sectional Comparative Research -- comparing data from
one time period between two or more nations (many cases, 1 time period)
Comparative Historical Research – longitudinal comparative research (many
cases) over a prolonged period of time
Comparative and Historical Research by number of cases and length of time studied How
do we understand Comparative Historical Research?
Historical Methods: Historical methods, also known as historiography, are the most common
analytic techniques used in the discipline of history. They are generally used
to explore either what happened at a particular time and place or what the
characteristics of a phenomenon were like at a particular time and place.
Similar to statistical and experimental methods, comparative-historical methods employ comparison
as a means of gaining insight into causal determinants. Similar to ethnographic
and historical methods, comparative-historical methods explore the
characteristics and causes of particular phenomena.
Comparative-historical analysis, however, does not simply combine the methods from
other major methodological traditions—none of the major comparative methods is
very common in comparative-historical analysis.
As a consequence, comparative-historical researchers
commonly avoid statistics and simply focus on causal processes. Additional
reasons for the limited use of statistical comparison within the
comparative-historical research tradition include the limited availability of
historical data needed for appropriate statistical analyses and the small
number of cases analyzed by comparative-historical researchers.
Comparative Historical “toolkit”
Besides comparative methods, comparative-historical
scholars employ several different types of within-case methods: Ethnography
Historical Methods Idiographic Methods Nomothetic Explanations So what does
this tool-kit look like?
Well, comparative historical research can be:
Holistic. It is concerned with the context in which
events occurred and the interrelations among different events and processes:
“how different conditions or parts fit together” (Ragin, 1987:25–26).
Conjunctural. This is because, it is argued, “no cause ever acts except in complex
conjunctions with others”(Abbot, 1994:101). Temporal. It becomes temporal by
taking into account the related series of events that unfold over time.
So what does this tool-kit look like?
Historically specific. It is likely to be limited to the
specific time(s) and place(s) studied, like traditional historical research.
14. Ethnography (Ethnographic Methods): A type of
social scientific method that gains insight into social relations through
participant observation, interviews, and the analysis of art, texts, and oral
histories. It is commonly used to analyze culture and is the most common method
of anthropology.
18. Basic vs. Applied Research : Basic versus Applied
Research Goal of describing, predicting, & explaining fundamental
principles of behavior vs. solving real-life problems
21. Quantitative vs. Qualitative
research: Quantitative
Research: An Overview
Mathematically
based Often uses survey-based measures
to collect data
Often collects data on
what is known as a “Likert-scale” a 4-7 point numerical scale which a
participant rates agreement Uses
statistical methodology to analyze numerical data As quantitative research is essentially about
collecting numerical
data to explain a
particular phenomenon, particular questions seem immediately
suited to being
answered using quantitative methods. How many males get a first-class degree at
university compared to females? What percentage of teachers and school leaders
belong to ethnic minority groups?
Has pupil achievement
in English improved in our school district over
time? These are all
questions we can look at quantitatively, as the data we
need to collect are
already available to us in numerical form. Does this not
severely limit the
usefulness of quantitative research though? There are
many phenomena we
might want to look at, but which don’t seem to produce
any quantitative data.
In fact, relatively few phenomena in education
actually occur in the
form of ‘naturally’ quantitative data.
Luckily, we are far
less limited than might appear from the above. Many
data that do not
naturally appear in quantitative form can be collected in
a quantitative way. We
do this by designing research instruments aimed
specifically at
converting phenomena that don’t naturally exist in quantitative
participants, using
experimental methods, or very structured psychometric questionnaires.
4. Finally, while
quantitative methods are best for looking at cause and
effect (causality, as
it is known), qualitative methods are more suited to
looking at the meaning
of particular events or circumstances.
9) Advantages and Disadvantages: Qualitative
Qualitative Advantages: Appreciates research participant’s
individuality
Provides insider view
of research question Less structured than quantitative approach
Qualitative
Disadvantages: Not always appropriate to generalize results to larger
population
Time consuming
Difficult to test a hypothesis Proponents of qualitative research argue that
such methodology see’s people as individuals, attempting to gather their
subjective experience of an event. This can provide a unique insider view of
the research question Through the
qualitative approach, which is less structured than a quantitative approach,
unexpected results and insights can occur.
In summary, to the
extent that any study concerns itself with generalizing, case studies tend to
generalize to other situations (on the basis of analytic claims), whereas
surveys and other quantitative methods tend to generalize to populations (on
the basis of statistical claims).
ccording to the lectures, and the book. I learned that, in the
social sciences there is no best kind of research. I think researchers
probably use several methods in order to conduct research. Empirical, all
information is based on observation. Objectivity, Observations is
verified by others. Systematic, observations are made in a step-by-step
fashion. Controlled, potentially confusing factors are eliminated.
Public, built on previous research, open to critique and replication, building
towards theories.
It dependents what king of research or for what purpose
you are researching. For example in social science is the science of people or
collections of people, such as groups, firms, societies, or economies, and
their individual or collective behaviors. It can be classified into disciplines
such s psychology, sociology, and economics. The society very much is
more for the “collective”. I think, using the scientific method is
imperative for any kind of research. .
1.
When we consider the advantages and disadvantages of laboratory
vs. field research, are there any others that come to mind that were not
outlined in lecture?
A) Field Research/Ethnography:
Participant observation is based on living among the people under study for a
period of time, could be months or maybe years, and gathering data through
continuous involvement in their lives and activities. The ethnographer begins
systematic observation and keeps notes, in which the significant events of each
day are recorded along with informants and interpretations. These demands are
met through two major research techniques participant observation and key
informant interviewing. An example would be the one on the video that
Maria has been spending several months with Steve a drug user, and the ethical
problem come now, the participant do not realize that their behavior is being
observed. Obviously (there is no consent) cannot give voluntary informed
consent to be involved in the study. Steve confesses that he is HIV
positive and his partner does not know, there is a confidentiality issue.
2. Are there some things we can do in the field that we just
cannot do in the lab and vise-versa?
A) I learned that
clear advantage of laboratory experiments over field experiments is that it is
much easier to obtain large amounts of very detailed information from
participants in the laboratory. An important reason why laboratory experiments
are more artificial than field experiments is because the participants in
laboratory experiments are aware that their behavior. One of the advantages of
field experiments over laboratory experiments is that the behavior of the
participants is often more of their normal behavior. The greatest advantage of
field experiments over laboratory experiments is that they are less artificial
3. What are your
ideas as researchers-in-training for accounting for the disadvantages of each
and what problems might you foresee arising with your idea?
A) I learned that, the method of
investigation used most often by psychologists is the experimental method. Some
of the advantages of the experimental method are common to both laboratory and
field experiments. I would have to know reliability and validity and field vs.
laboratory research. To avoid any confounding variables. These are variables
that are manipulated/allowed to vary systematically along with the independent
variable. The presence of any confounding variables can destroy the experiment,
because it prevents from being able to interpret our findings.
Four main elements:
Historical Events
Research focuses on one short historical period (1 case, 1
time period)
Historical Process Research –traces a sequence
of events over a number of years (1 case, many time periods)
Cross-sectional Comparative Research -- comparing data
from one time period between two or more nations (many cases, 1 time period)
Comparative Historical Research – longitudinal
comparative research (many cases) over a prolonged period of time.
Comparative and Historical Research by number of cases and length of time
studied.
What are some of the benefits and negatives of the Case
Study method. When compared to other types of research reviewed in the course
thus far? Can you think of some specific examples where the case study
method might be preferable?
The Case Study Method, Case study is a”
Strategy for doing research which involves an empirical investigation of a
particular contemporary phenomenon within its real life context using multiple
sources of evidence” (Robson, 1993, p. 146). Case studies are in-depth
investigations of a single person, group, event or community. Depending
on the case study it says whether the research is field or
laboratory research, we always loose valuable information about individual
variation when we try to collect the information of the experiences, emotions,
and behaviors into common experiences that we can measure numerically and
generalize across a population. If I understand correctly the lecture, we
cannot generalize from a Case Study, must be used three things: Descriptive,
Exploratory, and Explanatory.
Consider generalizing the results of research done on a small
sample to the general population.
I think I need to consider the Type of design chosen: Questions
the conditions under which the findings be generalized deals with the ability
to generalize the findings outside the study to other populations and
environments.
Purpose of Research Design: Provides the plan
or blueprint for testing research questions and hypotheses. Involves structure
and strategy to maintain control and intervention fidelity. Accuracy:
Accomplished through the theoretical framework and literature review.
All aspects of the study systematically and logically follow form the research
questions. Time: Is there enough time for completion of the study. Control:
Achieved with steps taken by the searcher to hold the conditions of the study
uniform and avoid or decrease the effect of intervening, extraneous, or mediating
variables of the dependent variable or outcome. Ensures that every subject
receiving the intervention of treatment receive the identical intervention or
treatment.
what are some of the benefits and negatives of qualitative and
quantitative research: Variables that occur during the study
that interfere with or influence the relationship between the independent and
dependent variables.
Intervening and mediating variables are processes that occur
during the study.
Objectivity can be achieved form a thorough
review of the literature and the development of a theoretical framework.
Instrumentation: changes in equipment used to
make measurements or changes in observational techniques may cause measurements
to vary between participants related to treatment fidelity.
Controlling Extraneous Variables Using a homogeneous
sample Using consistent data-collection procedures- constancy. A
homogeneous sample is one in which the researcher chooses participants who are
alike – for example, participants who belong to the same subculture or have
similar characteristics. Homogeneous sampling can be of particular use
for conducting focus groups because individuals are generally more comfortable
sharing their thoughts and ideas with other individuals who they perceive to be
similar to them. Patton, M. (2001). Qualitative Research &
Evaluation Methods.
when thinking of this, Could one said to be superior to
the other, or are they context specific?
the independent variable is: the variable that
the researcher hypothesizes will have an effect on the dependent variable
Usually manipulated (experimental study)
The independent variable is: manipulated by
means of a program, treatment, or intervention done to only one group in the
study (experimental group ) The control group gets the standard treatment or no
treatment.
The dependent variable is a factor, trait, or condition that can
exist in differing amounts or types. Not manipulated and pressured to vary with
changes in the independent variable The variable the researcher is interested
in explaining.
Randomization Each subject in the study has an
equal chance of being assigned to the control group or the experimental group.
Assumes that any important intervening, extraneous, or mediating
variable will be equally distributed between the groups, minimizing variance
and decreasing selection bias.
Testing: Taking the same test more than once
can influence the participant’s responses the next time test is taken.
Mixed-Methods
Designs - questionnaire) and qualitative (for example, a number of case
studies) methods. Mixed-methods research is a flexible approach, where the
research design is determined by what we want to find out rather than by any
predetermined epistemological position. In mixed-methods research, qualitative
or quantitative components can predominate, or both can have equal status.
Mixed-Methods
Designs - questionnaire) and qualitative (for example, a number of case
studies) methods. Mixed-methods research is a flexible approach, where the
research design is determined by what we want to find out rather than by any
predetermined epistemological position. In mixed-methods research, qualitative
or quantitative components can predominate, or both can have equal status What,
then, do we do if we want to look at both breadth and depth, or at both
causality and meaning? In those cases, it is best to use a so-called
mixed-methods design, in which we use both quantitative (for example, a questionnaire)
and qualitative (for example, a number of case studies)
methods.
Mixed-methods research is a flexible approach, where the research design is determined by what we want
to find out rather than by
any
predetermined epistemological position. In mixed-methods research,
Jean
Piaget stage of Concrete Operations:
Ages
Seven through Eleven
Jean
Piaget devoted his life to how thoughts were transformed into a body of
knowledge. His theories of cognitive development were inspired by observations
of his three children from infancy. Piaget believed that children were active
participants in learning. He viewed children as busy, motivated explorers whose
thinking developed as they acted directly on the environment using their eyes,
ears, and hands. According to Piaget, between
· The stage of concrete operations begins when
the child is able to perform mental operations. Piaget defines a mental
operation as an interiorized action, an action performed in the mind. Mental
operations permit the child to think about physical actions that he or she
previously performed. The preoperational child could count from one to ten, but
the actual understanding that one stands for one object only appears in the
stage of concrete operations.
The primary characteristic of concrete
operational thought is its reversibility. The child can mentally reverse the
direction of his or her thought. A child knows that something that he can add,
he can also subtract. He or she can trace her route to school and then follow
it back home, or picture where she has left a toy without a haphazard
exploration of the entire house. A child at this stage is able to do simple
mathematical operations. Operations are labeled “concrete” because they apply
only to those objects that are physically present.
Conservation is the major acquisition of the
concrete operational stage. Piaget defines conservation as the ability to see
that objects or quantities remain the same despite a change in their physical
appearance. Children learn to conserve such quantities as number, substance
(mass), area, weight, and volume; though they may not achieve all concepts at
the same time.
STAGE THREE: The Concrete Operational
Stage
QUICK SUMMARY: Children have schemata (cognitive structures that
contain pre-existing ideas of the world), which are constantly changing.
Schemata constantly undergo adaptation, through the processes of assimilation
and accommodation. When seeing new objects there is a state of tension, and a
child will attempt to assimilate the information to see if it fits into prior
schemata. If this fails, the information must be accommodated by either adding
new schemata or modifying the existing ones to accommodate the information. By
balancing the use of assimilation and accommodation, an equilibrium is created,
reducing cognitive tension (equilibration).
Focus on “language
rather than numbers”
“Embraces
“intersubjectivity” or how people may construct meaning…”
Focus on the
individual and their real lived experience
Qualitative methods
have much to offer when we need to explore people’s feelings or ask
participants to reflect on their experiences. As was noted above, some of the
earliest psychological thinkers of the late 19th century and early 20th century
may be regarded as proto-qualitative researchers. Examples include the
‘founding father’ of psycho-analysis, Sigmund Freud, who worked in Vienna (late
19th century – to mid 20th century), recorded and published numerous
case-studies and then engaged in analysis, postulation and
theorizing on the
basis of his observations, and the pioneering Swiss developmental psychologist,
Jean Piaget (1896 – 1980) who meticulously observed and recorded his children’s
developing awareness and engagement with their social world. They were
succeeded by many other authors from the 1940s onwards who adopted qualitative
methods and may be regarded as contributors to the development of qualitative
methodologies through their emphasis of the importance of the idiographic and
use of case studies (Allport,1946; Nicholson, 1997)1 . This locates the roots
of qualitative thinking in the long-standing debate between empiricist and
rationalistic schools of thought, and also in social constructionism (Gergen,
1985; King & Horrock, pp. 6 – 24)2.
So, what exactly is qualitative research? A practical definition points
to methods that use language, rather
than numbers, and an interpretative, naturalistic approach. Qualitative
research embraces the concept of intersubjectivity usually understood to refer
to how people may agree or construct meaning: perhaps to a shared
understanding, emotion, feeling, or
perception of a
situation , in order to interpret the social world they inhabit (Nerlich,
2004, pp. 18). Norman Denzin and Yvonna
Lincoln define qualitative researchers as people who usually work in the ‘real’ world of lived
experience, often in a natural setting, rather than a laboratory based
experimental approach. The qualitative researcher tries to make sense of social
phenomena and the meanings people bring to them (Denzin & Lincoln, 2000)3.
In qualitative research, it is acknowledged that the researcher is an integral
part of the
process and who may
reflect on her/his own influence and experience in the research process.4 The
qualitative researcher accepts that s/he is not ‘neutral’. Instead s/he puts
herself in the position of the participant or 'subject' and attempts to
understand how the world is from that person's perspective. As this process is
re-iterated, hypotheses begin to emerge, which are 'tested' against the data of
further experiences e.g. people's narratives.
One of the key differences between quantitative and qualitative approaches
is apparent
here: the quantitative
approach states the hypothesis from the outset, (i.e. a ‘top down’ approach), whereas in qualitative research
the hypothesis or research question, is refined
and developed during the process. This may be thought of as a
‘bottom-up’ or emergent approach, They
compare these to assumptions about the world, the knowledge produced and the role of the researcher (King
& Horrocks, 2010).