title: Measures of effect size for chi-squared and likelihood-ratio goodness-of-fit tests.
abstract: A fundamental shift in editorial policy for psychological journals was initiated when the fourth edition of the Publication Manual of the American Psychological Association (1994) placed emphasis on reporting measures of effect size. This paper presents measures of effect size for the chi-squared and the likelihood-ratio goodness-of-fit statistic tests.
authors.affiliation: Department of Sociology, Colorado State University, Fort Collins, CO 80523-1784, USA. janisj@lamar.colostate.edu
authors.forename: Janis E
authors.initials: JE
authors.lastname: Johnston
authors.forename: Kenneth J
authors.initials: KJ
authors.lastname: Berry
authors.forename: Paul W
authors.initials: PW
authors.lastname: Mielke
mesh_terms: D016009:Chi-Square Distribution; D003625:Data Collection / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D008370:Manuals as Topic; D011594:Psychometrics / Q000706:statistics & numerical data*; D011643:Publishing; D015203:Reproducibility of Results; D012958:Societies, Scientific; D014481:United States