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The difference between the two designs is the degree to which the research strategy limits:
Confounding Variables
Controls threats to internal validity
Nonexperimental - little to no attempt to minimize threats
Quasi-Experimental - some attempt to minimize threats to internal validity and is almost, but not quite, a true experiment
Both often look like experiments
Studies produce groups of scores that can be compared for significant differences
However, the different scores are not produced by manipulating an IV, but instead the groups are defined in terms of a participant variable (i.e. gender)
What is difference between a Non-Experimental and a Quasi-Experimental Design? (longe)
10.2 - Non-Equivalent Group Designs
module done…
Cannot use random assignment because the groups already exist
Why can’t researchers have control over the assignment of individuals in a group?
Yes.
Individual differences prevent a clear cause-and-effect explanation
Groups have different participant characteristics
No random assignment = No assurance of equivalent groups
Are there any threats to Internal Validity?
Compared pre-existing groups
Goal: establish differences between the pre-existing groups
Also called an ex-post facto design, looks at the differences “after the fact”
What is a Differential Research Design?
One group is the treatment, second group (of similar, but nonequivalent participants) used for control group
No random assignment
Does participation in a mindfulness-based stress reduction program lead to reduced levels of anxiety compared to the control group?
What is a Nonequivalent Control Group Design (post-test only)?
Compared two nonequivalent groups
One group is measured twice
Once before treatment and one after
Second group is measured at the same two times, no treatment
Design attempts to limit threats to internal validity, thus classified as a Quasi-Experimental Design
What is a Quasi-Experimental Design? (pre test - post test nonequivalent)?
10.3 - Pre-Post Designs
module doen
One group is measured before and after a treatment
What are Pre-Post Designs?
History
Instrumentation
Testing Effects
Maturation
Statistical regression
What are the threats to the internal validity?
Series of observations are made over time for one group of participants
No attempt to control threats to internal validity
What is a Pretest-Posttest Design?
Series of observations for each participant before a treatment or event, and a series of observations after a treatment or event
A study in intervening events are not manipulated is sometimes called an interrupted time-series design
The value of pretest and posttest observations help:
Allow researchers to see trends in data
Identifying practice, fatigue, maturation, etc., since they make noticeable changes before a treatment
Allows researcher to observe post-treatment trends
What is a Time-Series Design? (long?)
Often applied to single individuals or single organizations
More often classified as single-case or single-subject designs
How can Time-Series Designs be applied in a Single-Case?
10.4 - Developmental Research Designs
MODULE DONE
Developmental research designs are used to examine changes in behavior related to age
Uses different groups of individuals
Each group has a different age
Different groups measured at one point in time and then compared
This design is an example of a between-subjects non-experimental design
Pros:
Data can be collected in a short period of time
Observing how behavior changes as people age without waiting for them to grow older
Cons:
Factors other than age may differentiate groups
Such as cohort effects (which generation were they born in?)
What is a Cross-Sectional Developmental Research Design? Pros and Cons?
Examines development by observing or measuring a group of cohorts over time
EX) Measuring IQ in a group of 40 year olds, then measuring the same individuals again in ages 60 and 80
An example of a within-subjects nonexperimental design
Pros:
No cohort or generation effects
Assesses individual behavioral changes
Cons:
Time-consuming
Participant attrition may create bias
Potential for practice effects
What is a Longitudinal Developmental Research Design? Pros and Cons?
10.5 - Applications, Statistical Analysis, and Terminology
Module Done
Quasi-Independent Variable (IV)
Variable used to differentiate the groups of participants or group of scores being compared
Dependent Variable (DV)
Variable that is measured to obtain the scores within each group
Review: What is a Quasi-Independent Variable (IV) and Dependent Variable (DV)?
Two group designs have the advantage of simplicity
Easy to set up
Results are easy to understand
Two-group design does not provide the full functional relationship between variables
Two-group designs analysis
Compares numerical scores with a t-test for two means, or a single-factor analysis of variance for multiple means
Uses a chi-square test for non-numerical data
What is the Application and Analysis?