Mixed Design -- Chapter 12

Sing subject or single-n design

special type of within subject design using one subject or perhaps a single group to assess changes within that individual or group. the subject in this design serves as their own control.

A-B Design

a single-subject design in which researchers take a baseline measurement (A), then introduce the intervention, and then measure the same variable again (B).

A-B-A Design

a single-subject design in which researchers establish a baseline (A), introduce the intervention and measure the same variable again (B), then remove the intervention and take another measurement (A).

A-B-A-B Design

a single-subject design in which researchers establish a baseline (A), introduce the intervention (B), remove the intervention (A), and then reintroduce the intervention (B), measuring the dependent variable each time.

meta-analysis

a quantitative statistical analysis that compares and combines the results of individual, but similar, studies.

mixed design

an experimental design that combines within-subjects and between-subjects methods of data collection.

treatment-as-usual group

a comparison group in clinical studies in which already established treatment is administered for comparison to experimental treatment

waiting-list control group

a control group often used in clinical research; participants in this group do not receive treatment or intervention until after the completion of the study

double-blind procedure

both the participants and the administrators of treatment are unaware of, or blind to, the types of treatment being provided in order to reduce the likelihood that expectancies or knowledge of condition will influence the results

experimenter expectancy effect

occurs when a bias causes a researcher to unconsciously influence the participants of an experiment; also known as expectancy bias or experimenter effect

single-blind procedure

participants are unaware of, or blind to, the types of treatment they are receiving, but the administrator knows

mixed design analysis of variance (mixed design ANOVA)

a statistical analysis that tests for differences between two or more categorical independent variables, where at least one is a between subjects variable and another is a within-subjects variable