Research - Module 7 Drop Box assignment
QUANTITATIVE RESEARCH
METHODOLOGIES
Experimental, Quasi-Experimental, and Ex Post Facto Designs Chapter Nine
Experimental Design
This can be used to identify cause-and-effect
relationships
Independent variable is one that the researcher
studies as a possible cause of something else
Dependent variable is a variable that is potentially
influenced by the independent variable
Importance of Control
The extent to which an experimental study’s design and data allow the researcher to draw legitimate conclusions about cause-and-effect and other relationships is internal validity
Internal validity is essential in experimental designs
Whenever we compare two or more groups that are or might be different in ways in addition to the particular treatment or intervention we are studying, we have confounding variables
Confounding variables threaten internal validity
Controlling for Confounding Variables
Keep some things constant
Include a control group
Randomly assign people to groups
Assess equivalence before the treatment with one or more pretests
Expose participants to all experimental conditions
Statistically control for confounding variables
Partial correlation
Analysis of covariance (ANCOVA)
Structural equation modeling
Overview of Experimental, Quasi-
Experimental, and Ex Post Facto
Designs In true experimental research, the researcher
manipulates the independent variable and
examines its effects on another, dependent variable
A variety of research designs have emerged that
differ in the extent to which the researcher
manipulates the independent variable and controls
for confounding variables (the designs differ in the
degree to which they have internal validity)
5 Design Categories
Pre-experimental designs
True experimental designs
Quasi-experimental designs
Ex post facto designs
Factorial designs
Pre-Experimental Designs
One-Shot Experimental Case Study
One-Group Pretest-Posttest Design
Static Group Comparison
True Experimental Designs
Pretest-Posttest Control Group Design
Solomon Four-Group Design
Posttest-Only Control Group Design
Within-Subjects Design
Quasi-Experimental Designs
Nonrandomized Control Group Pretest-Posttest
Design
Simple Time-Series Design
Control Group, Time-Series Design
Reversal Time-Series Design
Alternating Treatments Design
Multiple Baseline Design
Single-Subject Studies
Ex Post Facto Designs
Simple Ex Post Facto Design
Factorial Designs
Two-Factor Experimental Design
Combined Experimental and Ex Post Facto Design
Meta-Analyses
When researchers have conducted many
replications of a study, another researcher may
conduct a meta-analysis (an analysis of the
analyses
A meta-analysis is primarily a statistical technique