Survey validation study

Test a theoretical framework and confirm internal survey structure in a validation study

The final step of creating a survey instrument is the validation study. The validation study is where researchers test the survey within a theoretical or conceptual framework to better understand the interpretability and utility of the survey outcomes.

Final measures of reliability are calculated, a confirmatory factor analyses (CFA) is run to validate the model yielded from the principal components analysis (PCA) conducted in the pilot study, and validity evidence is generated using inferential statistics.

​The survey along with the other instruments in the nomological network should be administered to between 300-1,000 participants from the population. This large number of participants is required to have the necessary statistical power to have a precise and accurate understanding of the underlying factor structure or composition of the construct using confirmatory factor analysis. 
Click on the Validity or Confirmatory Factor Analysis buttons for more information on the analyses.  
Validity
Confirmatory Factor Analysis
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  • Statistical Analysis
  • Sample Size Calculations
  • Diagnostic Testing and Epidemiological Calculations
  • Psychometrics
A survey validation study consists of a sample between 300 and 1,000 participants. Analyses include statistical assumptions, confirmatory factor analysis (CFA), and validity analysis.