Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses

被引：0
|
作者：
Franz Faul
Edgar Erdfelder
Axel Buchner
Albert-Georg Lang
机构：
[1] Christian-Albrechts-Universität,Institut für Psychologie
[2] Universität Mannheim,Lehrstuhl für Psychologie III
[3] Heinrich-Heine-Universität,undefined
来源：
Behavior Research Methods | 2009年 / 41卷
关键词：
Implicit Association Test; Multiple Correlation Coefficient; Linear Multiple Regression; Effect Size Measure; Noncentrality Parameter;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
引用
收藏
页码：1149 / 1160
页数：11
相关论文
共 50 条
  • [1] Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses
    Faul, Franz
    Erdfelder, Edgar
    Buchner, Axel
    Lang, Albert-Georg
    [J]. BEHAVIOR RESEARCH METHODS, 2009, 41 (04) : 1149 - 1160
  • [2] Statistical power in analyses of population trend data
    Cobb, DT
    Sprandel, GL
    Runde, DE
    [J]. PROCEEDINGS OF THE FIFTIETH ANNUAL CONFERENCE - SOUTHEASTERN ASSOCIATION OF FISH AND WILDLIFE AGENCIES, 1996, : 294 - 302
  • [3] SCALE ECONOMIES IN STATISTICAL ANALYSES OF MARKET POWER
    CAVES, RE
    KHALILZADEHSHIRAZI, J
    PORTER, ME
    [J]. REVIEW OF ECONOMICS AND STATISTICS, 1975, 57 (02) : 133 - 140
  • [4] THE CRITICAL USE OF STATISTICAL TESTS - EFFECT SIZE, A POSTERIOR AND A-PRIORI POWER ANALYSES
    NAUMANN, E
    DIEDRICH, O
    BARTUSSEK, D
    [J]. PSYCHOPHYSIOLOGY, 1995, 32 : S2 - S2
  • [5] Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study
    Hou, Lin
    Sun, Ning
    Mane, Shrikant
    Sayward, Fred
    Rajeevan, Nallakkandi
    Cheung, Kei-Hoi
    Cho, Kelly
    Pyarajan, Saiju
    Aslan, Mihaela
    Miller, Perry
    Harvey, Philip D.
    Gaziano, J. Michael
    Concato, John
    Zhao, Hongyu
    [J]. GENETIC EPIDEMIOLOGY, 2017, 41 (02) : 152 - 162
  • [6] Power rangers: no improvement in the statistical power of analyses published in Animal Behaviour
    Smith, Daniel R.
    Hardy, Ian C. W.
    Gammell, Martin P.
    [J]. ANIMAL BEHAVIOUR, 2011, 81 (01) : 347 - 352
  • [7] The case against retrospective statistical power analyses with an introduction to power analysis
    Shinichi Nakagawa
    T. Mary Foster
    [J]. acta ethologica, 2004, 7 (2) : 103 - 108
  • [8] The lack of statistical power of subgroup analyses in meta-analyses: a cautionary note
    Cuijpers, Pim
    Griffin, Jason W.
    Furukawa, Toshi A.
    [J]. EPIDEMIOLOGY AND PSYCHIATRIC SCIENCES, 2021, 30
  • [9] Statistical and regression analyses of sands stiffness in triaxial tests and application of the results
    Sharafutdinov, Rafael
    [J]. ROCK AND SOIL MECHANICS, 2022, 43 (10) : 2873 - +
  • [10] Power analyses for detecting effects for multiple coefficients in regression
    Aberson, Christopher L.
    [J]. STATA JOURNAL, 2014, 14 (02): : 389 - 397
12345