Group and design types Flashcards
Case-control designs
Study characteristics of interest by forming groups of individuals who vary on that characteristic. Basic-two group version (cases=subjects who show characteristic, controls=subjects who do not show the characteristic). The IV is the characteristic that served as the basis for the group “assignment.” Groups are compared on measures of interest (DVs). Two major variations of this design based on the “time perspective” (i.e., current or past).
Cohort designs
The study of intact groups over time; AKA prospective longitudinal study. Follow samples over time to identify factors leading to specific outcome. Group is assessed before outcome has occurred (compared to case-control designs where outcome has already occurred (i.e., in the cases but not controls). Strength of design is in being able to establish a time line of events and that the cause has preceded the effect. (types are single group cohort design and multi-group cohort design).
Retrospective study
The goal is to draw inferences about some antecedents that has resulted in or is associated with the outcome. The outcome of interest allows groups to be formed (cases vs controls). Attempt to identify a timeline between cause and effect. Measures are designed to allow subjects to elaborate on the past (susceptible to memory and recall effects). Thus, effect preceding the cause in time is plausible. However, may not be able to rule out alternative explanations for the outcome of interest.
Cross-sectional case-control designs
Most common version used in psychology (describe and explore characteristics of interest, test theoretical or conceptual models). Cases and controls selected and assessed in relation to current characteristics (not based on past experiences [retrospective]). Hypotheses are established about how groups will differ. Results are correlational-difficult to determine if outcome preceded OR was caused by a characteristic.
Retrospective case-control designs
The goal is to draw inferences about some antecedent that has resulted in or is associated with the outcome. The outcome of interest allows groups to be formed (cases vs control). attempt to identify a timeline between cause and effect. Measures are designed to allow subjects to elaborate on the past (susceptible to memory and recall effects). Thus, effect preceding the cause in time is plausible. However, may not be able to rule out alternative explanations for the outcome of interest.
Two central characteristics of observational research design:
- Study of intact groups (i.e., no random assignment)
- Examination of variables that cannot be manipulated experimentally
Key features of an accelerated multicohort longitudinal design
Inclusion of cohorts who vary in age when they enter the study (less time than if one group was studied over a specific time period)
Between-group design
Design where subjects are only assigned to one group and only receive one treatment. If you are in one group, you cannot be in the other.
Within-subject design
(Same as repeated-measure design [confirmed by Dr. M])Design where all subjects receive the same treatment.
Repeated measures design
(Same as within-subject design [confirmed by Dr. M]) Where you use the same subjects for every branch of research. An example of this would be a longitudinal study.
What are the categories of design within observational design?
- Case control (therein, cross sectional and retrospective)
- Cohort (therein, prospective/longitudinal)
Quasi-experimental design
Study control groups are still used, but subjects are not randomly assigned to conditions. [Characteristics of the population or sample do not permit random assignment. Thus the plausibility of threats to validity may not be reduced. Since groups have already been formed they are also referred to as nonequivalent control group designs] this type of study has to control for confounding variables by selecting appropriate controls or through statistical techniques.
Multiple treatment design
Some research questions require that all subjects perform under all of the experimental conditions available. In multiple treatment designs the same participants perform in all of the conditions of a give experiment. Then subject scores are compared in the aggregate within the various conditions to determine the extent of a give effect. While the evaluation of treatment is “within-subjects” separate groups are usually used so that the different treatments may be balanced. Different versions differ based on the number of treatments and they way in which they are presented.
Solomon four
• Purpose of this design is to assess the effect of pretesting on the effects obtained with an intervention. Two groups as reflected in a pretest-postest control group design. And two groups as reflected in a postests-only control group design.
Factorial designs
Simultaneous investigation of two or more factors (IV). Each factor or IV must have at least two or more groups/conditions/levels.Multiple variables are included to address questions about separate (main effects) and combined (interaction) effects of different variables.