Research Methods Chapter 12

meta-analysis

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

single subject design

a special type of within subjects design using one participant (human or animal) or perhaps one group to assess changes within that individual or group

A-B design

a single subject design in which researchers take a baseline measurement and then introduce the intervention and measure the same variable

A-B-A design

a single subject design in which researchers establish a baseline, introduce the intervention and measure the same variable again, then remove the intervention and take another measurement

A-B-A-B design

a single subject design in which researchers establish a baseline, introduce the intervention, remove the intervention, and then reintroduce the intervention, measuring the dependant variable each time

waiting list control group

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

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)

double blind procedure

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

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, while one is a between subjects variable and another is a within subjects variable