Known-groups validity
Compare independent groups on survey outcomes
Known-groups validity is the type of evidence generated by comparing known groups on the survey outcomes and detecting hypothesized differences between these known independent groups. If a survey instrument can effectively differentiate between independent groups, then between-subjects statistical statistics should yield significant differences in the survey outcome between the groups.
Independent samples t-tests, ANOVAs, and their respective non-parametric equivalents can be used to establish evidence of known-groups validity. Significant main effects and differences are assumed to generate known-groups validity evidence.
Independent samples t-tests, ANOVAs, and their respective non-parametric equivalents can be used to establish evidence of known-groups validity. Significant main effects and differences are assumed to generate known-groups validity evidence.
Click on the Between-Subjects Statistics or Confirmatory Factor Analysis button to continue.
Hire A Statistician - Statistical Consulting for Students
DO YOU NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D. will provide the following statistical consulting services for undergraduate and graduate students at $75/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics