Title: Qualitative Research
1Qualitative Research
- What is it?
- The study aiming to gather an in-depth
understanding of human behavior and the reasons
2Qualitative Research
- Overview
- Examination, analysis and interpretation of
observations - Smaller but focused samples are more often needed
- Produce information only on the particular cases
- Informative guess (Hypothesis)
3Qualitative Research
- Data Collection
- Observation
- Interviews
- Case studies
- Grounded theory
- Survey
-
4Qualitative Research
- Example(s)
- Semi-structured interview question
- What kind of words that you would like to
use to describe your playing experience with this
game ? - Survey question
-
5Qualitative Research
- Data Analysis
- Interpretive techniques
- Coding
- Recursive abstraction
- Mechanical techniques
6Qualitative -gt Quantitative
- Example(s)
- A 5-Point Likert item
-
- Not Very Effective (1) or (-2)
- Not Effective (2) or (-1)
- Somewhat Effective (3) or (0)
- Effective (4) or (1)
- Very Effective (5) or (2)
Which Likert Scale method is better?
Social desirability bias
7Quantitative Research
- What is it?
- A systematic empirical investigation of
quantitative properties and phenomena and their
relationships.
8Quantitative Research
- Overview
- The process of measurement is central to
quantitative research because it provides the
fundamental connection between empirical
observation and mathematical expression of
quantitative relationships - Quantitative methods can be used to verify which
hypotheses are true
9Quantitative Research
- Overview
- The generation of models, theories and hypotheses
- The development of instruments and methods for
measurement - Experimental control and manipulation of
variables - Collection of empirical data
- Modeling and analysis of data
- Evaluation of results
10Quantitative Research
- Data Analysis
- Statistical Analysis !
- Analysis of variance (ANOVA)
- Chi-square test
- Correlation
- Factor analysis
- Regression analysis
- ...
11Quantitative Research
- Data Analysis
- Example Chi-square test
- Chi-square test of independence allows us to
determine whether or not two variables are
associated in some way.
12Quantitative Research
- Data Analysis
- Example Chi-square test
- Let's say we want to know if the person's
political affiliation (democratic/republican/indep
endent) is associated with his or her views on a
flat income tax (Flat Tax). We've asked a random
sample of 180 residents their opinion on Flat Tax
and their political affiliation. First we can
record the results in - a contingency table.
13Quantitative Research
- Data Analysis
- Example Chi-square test
14Quantitative Research
- Data Analysis
- Example Chi-square test
- Expected frequency of each cell Row total X
column total / n - df (r 1) x (c 1)
15Quantitative Research
16Quantitative Research Experimental Design
- Example(s)
- Case You are contacted by the clinical
director of a local community mental health
center. Her staff has been developing what she
thinks is a promising new therapeutic regimen for
depression, and she would like you to design a
study to evaluate its effectiveness. The center
has approximately 100 to 120 clients with
diagnoses of major depressive disorder, and in
anticipation of the implementation of this new
treatment program, all of them have recently been
assessed using several measures, including the
Beck Depression Inventory (a widely-used
self-report measure of depression) and the
Hamilton Depression Scale (a measure of symptom
severity). The clinical director is particularly
concerned about the ethical implications of
research of the kind she is asking you to do,
because it entails deciding that some of the
center's clients will be chosen to not receive
what she thinks is likely to be an effective
therapy. - Taking all this into account, design a
research program that would address as many of
the client's concerns as possible. What specific
research design would you use? What makes it the
optimal design among those available? How would
it be implemented, e.g. assignment of
participants to conditions, measurements, etc.?
17Qualitative Research
- Example(s)
- My solution Quasi experiment, and use RD
(Regression Discontinuity) as the primary method.
The main reason is that the researchers is not
entirely sure the clients will be chosen or not
receive the therapy (treatment) in other words,
we may lose the ability to do random assignment
in this case, and it will undermine the validity
of upcoming results. However, a good thing is
that those potential participants have recently
been assessed by some measures such as Beck
Depression Inventory, because we can treat it as
an assignment variable, and determine a "cutoff"
value from those scores. Afterward, we can apply
pre-test and post-test experimental study. -
18Internal Validity
The approximate truth about inferences regarding
cause-effect or causal relationships
19Internal Validity
- External validity more concerns on
Generalizability than internal validity - Construct validity Can live with or without
internal validity
20Internal Validity
In a Post-test only experiment, group A that
receive math tutorial program performs better
than group B that does not.
An key question
whether observed changes can be attributed to
your program or intervention (i.e., the cause)
and not to other possible causes (sometimes
described as "alternative explanations" for the
outcome).
21Internal Validity
- History Threat
- Maturation Threat
- Testing Threat
- Instrumentation Threat
- Regression Threat
22Internal Validity
- Multiple group threat A multiple-group design
typically involves at least two groups and
before-after measurement.
- There really is only one multiple group threat to
internal validity that the groups were not
comparable before the study - selection bias - prior group differences?
23Internal Validity
- Social interaction threat
- Diffusion or Imitation of Treatment
- Compensatory Rivalry
- Resentful Demoralization
24Thank you