Statistical Tests Flashcards
One Sample t-test:
Definition: A statistical test used to determine whether the mean of a single sample differs significantly from a known value.
Key Characteristics: Involves one independent variable (IV) and one condition. Participants are independent as they are not measured repeatedly.
Independent t-test
Definition: A statistical test used to compare the means of two independent groups.
Key Characteristics: Involves one IV and two conditions typically delineated by group membership. Participants are independent.
Repeated Measures t-test
Definition: A statistical test used to compare the means of the same group on the same variable across multiple occasions.
Key Characteristics: Involves one IV and two conditions, commonly pre-test and post-test. Participants are repeated measures
One-way independent measures ANOVA
Definition: An analysis of variance used to compare means across three or more independent groups.
Key Characteristics: Involves one IV and multiple conditions, with participants being independent across groups.
One-way repeated measures ANOVA
Definition: An analysis of variance used to compare means across multiple conditions within the same group.
Key Characteristics: Involves one IV and multiple conditions, with participants being repeated measures within the same group
Factorial independent measures ANOVA
Definition: An analysis of variance used to explore the main effects and interactions of two or more independent variables on the outcome variable.
Key Characteristics: Involves multiple IVs and conditions, with participants being independent.
Factorial repeated measures ANOVA:
Definition: An analysis of variance used to explore the main effects and interactions of two or more independent variables on the outcome variable, incorporating repeated measures for each combination of IV levels.
Key Characteristics: Involves multiple IVs and conditions, with participants being repeated measures across different combinations
A mixture of both:
Definition: Refers to scenarios where researchers employ a combination of independent and repeated measures designs within the same analysis.
Key Characteristics: Offers flexibility in experimental design to cater to diverse research inquiries.
