Flashcards in Chapter 10 Glossary Deck (37)
What is an anova summary table?
Table that organises the results of anova. For each source of variation, the degrees of freedom, sums of squares , mean squares, f-ratios and p-values are listed.
What is between-groups variance?
Index of variability among group means.
What is correlated-groups design?
Research design in which participants in one group are related to participants in the other groups, thus controlling individual differences and increasing power.
What is critical thinking?
Applyling the principles of inference discussed in this text to everyday situations.
What is error bar?
An addition made to either histograms or frequency polygons that indicates the size of the standard error of the mean.
What is error team?
A measure of the variability of scores within each group that provides a basis for comparing observed differences between groups.
What is ex post facto study?
Non experimental design in which the current situation is observed and related to reports of previous events.
What is experimental design?
Participants are randomly assigned to groups and all appropriate control procedures are used.
What is experimental variance?
Variability among the group means in a research study that is due to effects of the independent variable.
What is an extraneous variable?
Variabiliity due to the effects of the extravenous variable
What is the f-test?
An f-ratio is an inferential statistic that is the ratio of two variance estimates.
What is independent-groups design?
Researcu design in which the participants appear in only one group.
What is interaction effects?
Combined effect of two or more independent variables, such that the effect of one independent variable differs depending on the level of the other independent variable.
What is interaction effects?
Combined effect of two or more independent variables, such that the effect of one independent variable differs depending on the level of other independent variable.
What is manipulation check?
Procedure designed to verify that the independent variable actually varied in the different conditions.
What is the mean square?
A variance estimate used in ANOVAs.
What is multilevel, completly randomised, netween subjects design?
A design with more than two groups, in which each participant is randomly assigned to one group.
What is multivariable designs?
Designs employing more than one independent variable and thus allowing researchers to identify interactive effects independent variables.
What are nonsystematic withion-groups variance?
Variance due to random factors that affect some participants more than others.
What is partitioned?
Seperating the total sum of squars into between-groups and withing groups sum of squares.
What is planned comparison?
Comparison of mean performance between groups that was planned before data collection.
What is post hoc comparison?
Secondary analysis that evaluates effects that were not hypothesised by the researcher.
What is pretest posttest, natural control-group design?
Design in which preexisting groups are measured before and after the manipulation of an independent variable.
What is probe?
Testing to see which groups are statistically different from one another.
What is randomised, postest only, control-group design?
Experimental design in which participants are randomly assigned to two groups, and each group is tested on the dependent variable after the independent variable.
What is randomised, pretest-postest, control group design?
Experimental design in which participants are randomly assigned to two groups and each participants is tested on the dependent variable both before and after the manipulation.
What is single-group posttest only study?
Nonexperimental design that involves manipulating the independent variabe and then taking a post manipulation measure on the dependent variable.
What is single-group, pretest-postest study?
Nonexperimental design in which participants are measured on a dependent variable both before and after manipulation.
What is single-variable design?
Designs that include just one independent variable.