(PM) BRT - Statistical Methods Flashcards
Nominal (IV) - Nominal (DV)
Chi-square test
Ordinal (IV) - Nominal (DV)
Chi-square test
Nominal (IV) - Ordinal (DV)
Chi-square test
Ordinal (IV) - Ordinal (DV)
Chi-square test
Nominal (IV) - Interval (DV)
T-test, ANOVA
Ordinal (IV) - Interval (DV)
T-test, ANOVA
Nominal (IV) - Ratio (DV)
T-test, ANOVA
Ordinal (IV) - Ratio (DV)
T-test, ANOVA
Interval (IV) - Nominal (DV)
Logit analysis
Ratio (IV) - Nominal (DV)
Logit analysis
Interval (IV) - Ordinal (DV)
Logit analysis
Ratio (IV) - Ordinal (DV)
Logit analysis
Interval (IV) - Interval (DV)
Regression analysis
Ratio (IV) - Interval (DV)
Regression analysis
Interval (IV) - Ratio (DV)
Regression analysis
Ratio (IV) - Ratio (DV)
Regression analysis
When I measure the IV ‘class attendance’ with 2 levels (low attendance vs. high attendance ) and want to test its relationship with the ratio-scaled DV ‘grades’, I should carry out …
T-test (or One-Way ANOVA in case of factorial experiment)
When I measure the IV ‘class attendance’ and the IV ‘Assignment result’ and want to test its relationship with the ratio-scaled DV ‘grades’, I should carry out …
ANOVA (in case of factorial experiment, Two-Way)
When I measure IV “University status” (with levels; Failed Pre-Master, Passed Pre-Master and Graduated) and want to test its relationship with ‘Income’, I should carry out …
ANOVA (in case of factorial experiment, One-Way)
Stratified Sampling
Divide in homogenous groups, then apply SRS
Cluster Sampling
Divide in heterogenous groups, then select a number of groups
A researcher wants to study the effect of packaging shape (which can be either squared vs round) and packaging height (where height can take on any value between 0 and 100 centimetres) on perceived healthiness (7-point Likert scale).
Which test should be used?
Regression Analysis
History effect
Events/factors outside the experiment that have an impact on the DV
Maturation Effect
Biological / Psychological changes over time
Testing Effect
Prior testing affecting the DV
Instrumentation Effect
Observed effect being due to a change in measurement
Selection Bias Effect
Incorrect selection of respondents
Mortality effect!
Drop-out of respondents during experiment
Symbolic Notation: CG
Control group
Symbolic Notation: EG
Experimental group
Symbolic Notation: X(i)
Exposure to IV treatment i