Sample size requirements for interval estimation of the strength of association effect sizes in multiple regression analysis

Gwowen Shieh*

*此作品的通信作者

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

Background: Effect size reporting and interpreting practices have been extensively recommended in academic journals when analyzing primary outcomes of all empirical studies. Accordingly, the sample squared multiple correlation coefficient is the commonly reported strength of association index in practical applications of multiple linear regression. Method: This paper examines the sample size procedures proposed by Bonett and Wright for precise interval estimation of the squared multiple correlation coefficient. Results: The simulation results showed that their simple method for attaining the desired precision of expected width provides satisfactory results only when sample sizes are large. Moreover, the suggested sample size formula for achieving the designated assurance probability is inaccurate and problematic. Conclusions: According to these findings, their sample size procedures are not recommended.

貢獻的翻譯標題Sample size requirements for interval estimation of the strength of association effect sizes in multiple regression analysis
原文English
頁(從 - 到)402-407
頁數6
期刊Psicothema
25
發行號3
DOIs
出版狀態Published - 2013

Keywords

  • Assurance probability
  • Expected width
  • Squared multiple correlation

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