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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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n    May be replaced by newer theories that provide better explanations of behavior.

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n    They help organize and unify different observations related to the behavior

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Constructs

n   Hypothetical attributes or mechanisms that help explain and predict behavior in a theory.

 

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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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n   concepts must be operationally defined.

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How can we measure anxiety?

n   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):

¨ A reliable measure

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n   Validity:    

¨ A valid measure

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Reliability

n   There are two components of a score:

 

¨ A true score

 

¨ 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.

 

 

n     Problem

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Measuring Reliability

 

2. .

 

Measuring Reliability

n          Internal consistency

 

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n          You can randomly divide items on a test into two groups (split-half reliability).

 

Measuring Reliability

n          Interrater reliability

 

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Validity

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n    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?

 

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n         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.

 

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Divergent (discriminant) Validity

 

n        The scores of a measure DO NOT correlate with scores on another established measure of a different construct.

 

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Predictive Validity

 

n   The measure allows you to predict future behavior.

 

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Concurrent Validity

n   Two or more groups of people differ on the measure in expected ways.

 

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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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n    Equal units of measurement.

n    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.

 

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vUsing unobtrusive measures reduces the   likelihood of measurement reactivity.

 

n    Demand Characteristics

Experimenter bias

 

n   Researchers influence the results

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Handling reactivity & experimenter bias

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