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Descriptive Research
Most basic data; polls, prevalence of behaviors
Correlational Research
Predictor and outcome variables; narcissism and number of friends
Quasi-Experimental Research
Naturally occurring groups; GPA vs high or low study times
Experimental Research
Independent and Dependent Variables; Can imply causation
Nominal Variable
Numbers assigned arbitrarily, no true zero, non-overlapping
Ordinal Variable
Rank ordering of behaviors, does not state distance between, no true zero
Interval Variable
Equal differences between responses, no true zero
Ratio Variable
Contains a true zero point
Categorical Variable
Naming/Grouping Variable
Discrete Variable
Numeric Variable
Continuous Variable
Measurement Variable
Reliability
The degree to which a measurement consistently produces the same results under the same conditions.
Test-Retest Reliability
Consistency of responses on a measure, over time
Internal Consistency Reliability
The extent to which items on a test measure the same construct and yield similar results.
Interrater Reliability
The degree to which different raters or observers give consistent estimates of the same phenomenon
Validity
Measuring what you intend to measure
Internal Validity
Ability to eliminate alternative causal explanations
External Validity
Replicability
Ecological Validity
How real the study is
Construct Validity
Does it measure what you’re trying to measure
Face Validity
Appears to measure what it intends to
Content Validity
Represents all facets of that construct
Between-Subjects
Comparing different groups
Within-Subjects
Every person participates in every condition
Pearson’s Correlation
Both interval or ratio
Spearman’s Correlation
One or more ordinal variables
Regression
Set of predictor and outcome variables
Independent Samples t-test
One nominal with two levels, one continuous, between subjects
Paired Samples t-test
One nominal with two levels, one continuous, within subjects
Between Subjects ANOVA
One nominal variable with more than two levels, one continuous variable, between subjects; OR two+ nominal variables and one continuous variable with all IVs being between subjects
Within subjects ANOVA
One nominal variable with more than two levels, one continuous variable, within subjects; OR two+ nominal variables and one continuous variable with all IVs being within subjects
Mixed ANOVA
Two+ nominal variables and one continuous, IVs both between and within subjects
Chi-Square
Two nominal or ordinal variables or one nominal and one ordinal