Asheboro, NC: Statistical Associates Publishers, 2018. — 53 p.
A noted multi-method researcher and widely published quantitative researcher join forces to present a treatment of research design which balances qualitative and quantitative approaches. Covers experimental, quasi-experimental, and non-experimental designs; mixed designs; cross-sectional between-subjects and longitudinal within-subjects designs; randomization versus random sampling; sample selection; randomized control trials; and more.
Overview
Validity
Causality
Method of agreement
Method of disagreement
The joint method
Method of concomitant variation
Method of residues
Experimental designs
Control groups and experimental design
Randomized control trials vs randomized trials
Observational design
Randomization vs random sampling
Experimental vs quasi-experimental research
Randomized control trials
Background
Randomization
Blinding
Trial length
Handling missing cases
Trial design
Between-subjects vs within-subjects designs
Overview
Between subjects designs
Within subjects designs (repeated measures)
Matched pairs designs
Example comparing between- and within-subjects designs
More types of experimental design
Factorial designs
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Full factorial design
Fully-crossed vs incomplete factorial designs
Balanced vs unbalanced designs
Completely randomized design
Block designs
Randomized block designs
Latin square designs
Graeco-Latin square designs
Randomized complete block design (RCBD ANOVA)
Split plot designs
Mixed design models
Pretest-posttest designs
Other forms of randomization
Lottery designs
Waiting list designs
Mandated control designs
Equivalent time series designs
Spatial separation designs
Mandated change/unknown solution designs
Tie-breaking designs
Indifference curve designs
New organizations designs
Quasi-Experimental Designs
Definition
One-group posttest-only design
Posttest-only design with nonequivalent comparison groups design
Posttest-only design with predicted higher-order interactions
One-group pretest-posttest design
Cross-lagged panel design
Pretest-posttest design with before-after samples
Multiple-group pretest-posttest regression point displacement design
Two-group pretest-posttest design using an untreated control group
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Double or multiple pretest designs
Four-group design with pretest-posttest and posttest-only groups
Nonequivalent dependent variables pretest-posttest design
Removed-treatment pretest-posttest design
Repeated-treatment design
Switching replications designs
Reversed-treatment pretest-posttest nonequivalent comparison groups design
Cohort designs with cyclical turnover
Interrupted time series designs
One-group time series regression-discontinuity design
Interrupted time series with a nonequivalent no-treatment comparison group
Interrupted time series with nonequivalent dependent variables
Interrupted time series with removed treatment
Interrupted time series with multiple replications
Interrupted time series with switching replications
Non-Experimental Designs
Non-experimental and qualitative research design
Examples
Frequently Asked Questions
Is a quasi-experimental design ever preferable to an experimental design?
Is qualitative research a type of quasi-experimental design?
How do I handle the problem of sample attrition in designs which involve observations at
two or more time periods?
What should I report in a randomized control trial experiment?