Transcript Document
Chapter 5 – Correlational Research: Surveys
Zechmeister, J. S., Zechmeister, E. B., &
Shaughnessy, J. J. (2001). Essentials of
research methods in psychology. New
York: McGraw-Hill.
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Surveys -> Correlational Research
Surveys
Description: Describe people’s opinions, feelings, and
preferences
Prediction: Predict what people are going to do.
Correlational Research
Assess relationships among naturally occurring
variables
Surveys
Surveys amass the data which is then used to find
what the relationships are in the “naturally occurring
variables.”
Correlational Research
Researchers use correlational
research to assess relationships
among naturally occurring
variables and to make
predictions.
Correlational Coefficient
The size of a correlation indicates the
strength of the predictive relationship.
±0.80 is considered a strong correlation
-1.0 & +1.0 are perfect correlations
+1.0 Positive Correlation
-1.0 Negative Correlation
Introduction
Correlation Coefficient
Size – strength
-1.0 - +1.0 : perfect correlation
Sign : direction
Scatterplot
Margin of Error
Measures in Correlational
Research
Value of research depends on the quality of
measurements
Questionnaires
Demographic variables
Preferences/Attitudes
Self-Report Scales
Measures in Correlational
Research
Reliability – consistency
Test-retest
Internal consistency
Reliability Coefficient
Measures in Correlational
Research
Validity
Does it measure what says it does?
Construct validity
Convergent validity
Discriminant validity
p. 122, Table 5.4 of our text
Construct validity
Obtaining a Sample
Samples are Used to Describe Populations
Population
Sample
Representativeness
Biased Sample
Selection Bias
Response Bias
Obtaining a Sample
Nonprobability sampling
Convenience sampling
Probability sampling
Simple random sampling
Stratified random sampling
Survey Research Designs
Cross-sectional design
Successive independent samples design
Longitudinal design
Thinking Critically About
Correlational Research
Correlation
Reactivity:
Social Desirability