Ch. 12- Mixed Design Flashcards
Meta Analysis:
Quantitative statistical analysis that combines the results of individual but similar studies
Single Subject Design
• Special types of within subjects design
• Uses one participant or group to assess changes within that individual or group
• Also called a single-case experimental design, single-n design
Participant serves as their own control
A-B Design
Researchers take a baseline measurement (Phase A) and then introduces the intervention, and measures that same variable again (Phase B)
A-B-A design
○ Baseline, intervention, remove intervention and measure variable again
Helps establish covariation by showing that behaviour systemically changes as researches introduce and remove the treatment
A-B-A-B Design
Baseline, intervention, remove intervention, reintroduce intervention
2 Group
Between
Pre/Post Test
Within
MultiGroup
Between
Factorial
Between
Repeated Measure
Within
Mixed
Between and Within
Between Subject
Expose participants to 1 level of treatment
Randomly assign participants to one condition
High Internal and external validity
Low Power
Within Subject
Expose participants to all levels of treatment
Randomly assign as sequence of treatment conditions
High Power
Low Internal and external validity
Waiting List Control Group:
- Empty control group often used in clinical research
- Participants do not receive treatment or intervention until after the completion of study
After determining best form of intervention, participants receive the better treatment at no cost
Experimenter-Expectancy Effect:
• Bias causes a researcher to unconsciously influence the participants of an experiment
Also called expectancy bias, experimenter effect
