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Chapter 3
Steps of the Scientific Method
1. Develop a research question(s), usually
based on a thorough review of a theory or an area of interest.
2. Formulate an hypothesis.
3. Design a study to test the hypothesis.
4. Conduct a study and collect data.
5. Evaluate the data in terms of the
prediction and hypothesis.
6.
Variables
Variable:
any event, situation, behavior, or individual characteristic that varies (can
have more than one value).
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Theories
n
Good theories are parsimonious and
comprehensive.
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.
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May be replaced by newer theories
that provide better explanations of behavior.
n
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They help organize and unify
different observations related to the behavior
n
Constructs
n
Hypothetical attributes or
mechanisms that help explain and predict behavior in a theory.
n
Criteria for Operational
Definitions
Any mental construct we wish to study must be defined so that it is:
1.
2.
3.
Today you are going to practice doing
psychological research
First Problem…
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Initial Stages of Research
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nresearch
hypothesis: a tentative statement (a prediction or an educated
guess) about the relationship between 2 or more variables.
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Next problem…
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concepts must be operationally
defined.
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How can we measure anxiety?
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What observable behaviors might
demonstrate that a person is anxious?
How can we measure anxiety?
n
What observable behaviors might
demonstrate that a person is anxious?
Can we measure anxiety in another way?
Multiple Measures
Reliability and Validity
n
Reliability (consistency):
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A reliable measure
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.
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Validity:
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A valid measure
n .
Reliability
n
There are two components of a
score:
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A true score
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Measurement error
Measuring Reliability
n
There are 4 main ways to measure
the reliability of a measure:
1. Test-Retest reliability
n
You collect 2 scores from a large
random sample of subjects at 2 different points in time.
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Problem
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Measuring Reliability
2. .
Measuring Reliability
n
Internal consistency
n
.
n
You can randomly divide items on a
test into two groups (split-half reliability).
Measuring Reliability
n
Interrater reliability
n
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Validity
n
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Construct validity
n
A measurement tool is valid if it
really measures the construct it is intended to measure rather than some other
characteristic.
Face Validity
n
How well does the test appear to
measure what it was designed to measure based on its contents?
n
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Based on the subjective
evaluations of the assessor.
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Convergent Validity
n
The scores of a measure correlate
with the scores on another established measure of the same
construct.
n
Divergent (discriminant) Validity
n
The scores of a measure DO NOT
correlate with scores on another established measure of a different
construct.
n
Predictive Validity
n
The measure allows you to predict
future behavior.
n
.
Concurrent Validity
n
Two or more groups of people
differ on the measure in expected ways.
n
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Measurement Scales
Nominal Scales
n
involve simply categorizing the
stimulus to be measured into one of a number of discrete qualitative categories.
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Ordinal Scales
n
Ordinal scales add the arithmetic
relationships "greater than" and "less than" to the measurement process.
n
examples:
Interval Scales
n
involve specifying how far apart 2
stimuli are on a given dimension.
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Equal units of measurement.
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example:
Ratio Scales
n
A ratio scale has all the
properties of an interval scale with the important additional quality of an
absolute zero point.
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n
In psychology, we commonly do not
see absence in behavior except when measuring time.
Class Activity
Measurement
n
Sensitivity
n
Range Effects
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Floor effect
Reactivity
n
Reactivity in measurement occurs
when the very act of measuring a variable changes an individual’s behavior.
v
.
vUsing
unobtrusive measures reduces the likelihood of measurement reactivity.
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Demand Characteristics
Experimenter bias
n
Researchers influence the results
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Handling reactivity & experimenter bias
n
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