The phenomenon or behavior that we want to explain or predict.
100
Experimental Design
Type of design where the IV is manipulated
100
Chi-square
Variables are Categorical
200
Independent Variable
The predictor or causal variable in the study
200
Between-subjects design
Type of design using independent groups
200
Correlated (Dependent) t-test
Tests the following null hypothesis:
Individuals' mean performance on math test will not differ between light vs. no light condition
300
Alternative Hypothesis
It states that the differences in scores between conditions are due to the action of the independent variable.
300
Repeated Measure Design
Type of design collects data on subjects using the same measure on at least two occasions
300
Independent-sample t-test
Tests the following design:
Two independent groups of athletes go through either all-carbs diet or gluten-free diet. Performance on the track is measured (time taken to run 1 mile)
400
Levene's Test
The test used to determine the assumption of equal variances?
400
Sampling
Involves selecting a relatively large number of units from a population, or from specific subgroups of a population, in a random manner where the probability of inclusion for every member of the population is determinable.
400
One-way ANOVA
Tests this alternative hypothesis:
Individuals in the loud noise condition will perform worst than those in the no-noise or light noise condition
500
Nonparametric Statistics
Type of statistics used when our data are measured on a nominal or ordinal scale of measurement
500
Repeated Measure Design
The ultimate goal of this type of design is to determine individuals' change of attitude before, during, and after intervention