Comparing Longitudinal Effects of an Intervention by Different Statistical Approaches

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Abstract

Repeated measures ANOVA and individual regression analysis are used in longitudinal data. Data from Chang (2006) study was illustrated the similarities and differences between them. The purpose of study was to test effects of a training program. Findings from RMANOVA concluded that treatment group had better knowledge (F=56, p< 0.001) and greater intention (belief: F=4.4, p=0.03) than control group. No conclusions could be drawn regarding direction, magnitude, and timing of change. Results from IRA indicated that there were significantly different patterns of change on knowledge (t=-4.8, p< 0.001), attitude (t=1.8, p=0.07), perceived behavior control (t=1.9, p=0.06), and intention (freq.: t=-2.3, p=0.02; beliefs: t=-2.7, p=0.01) between two groups. IRA and use of both methods as complementary are suggested.
Translated title of the contribution探討不同統計方式分析縱貫性研究之成效
Original languageEnglish
Pages (from-to)17-22
Number of pages6
Journal健康管理學刊
Volume6
Issue number1
Publication statusPublished - 2008

Keywords

  • 縱貫性研究
  • 重複性測量變異量分析
  • 個人化回歸模式劍斤
  • Longitudinal study
  • Repeated measures ANOVA RMANOVA
  • Individual regression analysis IRA

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