Exam 2 Flashcards
Extraneous Variables
Influence of unrelated factors when not controlled
Validity
The overall amount of control put in place to tightly restrict confounding effects
Confounding Effects
Other factors that could’ve effected your results that you didn’t expect to effect your validity
Active Variables
Can be manipulated by researcher; subjects assigned to different levels of IV
Processes of Validity in Research
The experimental variables
Sampling technique/Strategy
Controls (extraneous factors/experiment itself to have relevance to clinical practice)
Analysis of Results
ITT
Avoids bias post-randomization and over-estimation of treatment effects
Design Strategies for Inter-Subject Differences
Inclusion Criteria Blocking Variable Matching Subjects Using Subjects as own Control ANCOVA
ANCOVA
Analysis of Covariance
-Theoretically removes the confounding influences of extraneous factors
Internal Validity
The degree to which the relationship between the independent and dependent variables is free from the effects of extraneous factors
External Validity
The degree to which the results of a study can be generalized to persons or settings outside the experimental situation
**inc in IV = dec in EV
4 Threats to Validity
Statistical Conclusion Validity
Internal Validity
Construct Validity of Causes and Effects
External Validity
Construct Validity
To what theoretical constructs can results be generalized?
Statistical Conclusion Validity
Is there a relationship between the IV and DV?
What can lead to invalid stat conclusions?
Low statistical power
Violated assumptions of statistical tests
Error Rate
Reliability and Validity
Power Analysis
Uses number of subjects enrolled into your study
-you need 80-90% or above
Power
The ability of a statistical test to reject the null hypothesis
-will tell you the minimum # of subjects you need in control/experimental group to reject the null hypothesis