Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A probabilistic model of intensive designs.

T F Pechacek1

  • 1University of Minnesota.

Journal of Applied Behavior Analysis
|October 1, 1978
PubMed
Summary

This study presents a probabilistic model to quantify internal validity in intensive research designs. It mathematically supports common design recommendations, enhancing experimental data interpretability.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Racial/ethnic disparities in exposure to e-cigarette advertising among U.S. youth.

Public health·2024
Same author

Flavored e-cigarette use: Characterizing youth, young adult, and adult users.

Preventive medicine reports·2016
Same author

Introduction to the Community Intervention Trial for Smoking Cessation (COMMIT).

International quarterly of community health education·2010
Same author

Women and smoking: issues and opportunities.

Journal of women's health & gender-based medicine·2001
Same author

Factors associated with discrepancies between self-reports on cigarette smoking and measured serum cotinine levels among persons aged 17 years or older: Third National Health and Nutrition Examination Survey, 1988-1994.

American journal of epidemiology·2001
Same author

Racial and ethnic differences in serum cotinine levels of cigarette smokers: Third National Health and Nutrition Examination Survey, 1988-1991.

JAMA·1998

Area of Science:

  • Psychology
  • Research Methodology
  • Behavioral Science

Background:

  • Internal validity is crucial for interpreting experimental data, but existing methods for intensive designs face criticism.
  • Traditional inferential statistics may not be ideal for quantifying internal validity in these designs.

Purpose of the Study:

  • To present a probabilistic model for assessing internal validity in intensive designs.
  • To provide a mathematical basis for design recommendations in intensive research.

Main Methods:

  • Development of a probabilistic model for intensive designs.
  • Application of the model to estimate internal validity for reversal and multiple-baseline designs.

Main Results:

  • The model demonstrates high internal validity for intensive designs without traditional inferential statistics.
  • Equations provide internal validity estimations when model restrictions are met.
  • Mathematical support is provided for design considerations like within-subject replications and multiple baselines.

Conclusions:

  • The proposed probabilistic model offers a robust method for quantifying internal validity in intensive research.
  • This model enhances the reliability and interpretability of experimental data from intensive designs.
  • It provides a quantitative foundation for established best practices in intensive research design.

Related Experiment Videos