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Related Experiment Videos

Researching and evaluating model geriatric mental health programs. Part III: Statistical analysis issues.

D W Russell1, K C Buckwalter

  • 1Department of Psychology, University of Iowa, Iowa City 52242.

Archives of Psychiatric Nursing
|June 1, 1992
PubMed
Summary

This article covers statistical analysis for geriatric mental health programs. It details inferential statistical methods like t-tests and analysis of variance for program evaluation.

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Area of Science:

  • Geriatric mental health program evaluation
  • Statistical analysis in health research

Background:

  • The series focuses on evaluating geriatric mental health programs.
  • This article addresses statistical analysis challenges in this field.

Purpose of the Study:

  • To discuss statistical analysis issues in researching and evaluating geriatric mental health programs.
  • To provide an overview of inferential statistical techniques applicable to such research.

Main Methods:

  • Discussion of inferential statistical techniques.
  • Explanation of interrupted time series techniques.
  • Application to experimental and quasi-experimental study data.

Main Results:

  • Detailed explanation of t-tests, analysis of variance (ANOVA), chi-square, and analysis of covariance (ANCOVA).

Related Experiment Videos

  • Guidance on applying these methods to analyze data from geriatric mental health program evaluations.
  • Introduction to interrupted time series analysis for program evaluation.

    • Conclusions:

    • Effective statistical analysis is crucial for valid geriatric mental health program evaluation.
    • Understanding various inferential statistical techniques enhances research rigor.
    • Interrupted time series analysis offers valuable insights into program impact over time.