Computer-Assisted Research Design and Analysis

By B. Tabachnick, L. Fidell. 2000

393 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/138fa83dbad498db049f7ccdcdb83dfa300042ce

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Citations in the corpus

Effects of Etiology on Perceived Helpfulness of Treatments for Depression (2003, methodology): “Because of the likelihood of violating assumptions regarding sphericity and compound symmetry (Tabachnick & Fidell, 2001), we used the multivariate analysis.”
Educational Characteristics of Adolescents With Gifted Academic Intrinsic Motivation: A Longitudinal Investigation From School Entry Through Early Adulthood (2005, background): “For some other major classic and contemporary references, see Elashoff (1969), Huitema, (1980), Miller and Chapman (2001), Pedhazur (1982), and Tabachnick and Fidell (2001).”
The Effects of a Mindfulness-Based Education Program on Pre- and Early Adolescents’ Well-Being and Social and Emotional Competence (2010, methodology): “Change scores can be used as the dependent variable in an ANOVA , and are seen as an alternative to ANCOVA when the researcher is interested in examining the direction of change from pretest to posttest , as in the present study ( Tabachnick and Fidell 2001 ) .”
Observed Prosocial and Antisocial Behaviors in Male Soccer Teams: Age Differences across Adolescence and the Role of Motivational Variables (2006, methodology): “This purpose was examined using Analysis of Covariance (ANCOVA), in which main effects of independent variables are examined after the scores of dependent variables are adjusted for differences associated with one or more covariates (Tabachnick & Fidell, 2001).”
Gradients of life-history variation: an intercontinental comparison of fishes (2002, methodology): “Partial eta squared has the advantage over eta squared (effect SS/total SS) that it does not depend on the ANOVA design used because it does not use total SS as the denominator (Tabachnick and Fidell, 2000: 191).”
Significance tests as sorcery: Science is empirical—significance tests are not (2012, background): “…experiment must have three things: (a) random assignment of cases to levels; (b) manipulation of the levels of at least one independent variable (if you do not manipulate a variable, you cannot randomly assign cases to levels); and (c) control of extraneous variables (Tabachnick & Fidell, 2001).”
Coaching Efficacy and Coaching Effectiveness: Examining Their Predictors and Comparing Coaches’ and Athletes’ Reports (2008, methodology): “The limits of this CI were computed by adding to and subtracting from the sample mean the SE of the mean multiplied by the t-statistic associated with a p of .05 (see Tabachnick & Fidell, 2001).”
Zeileis Conditional Variable Importance for Random Forests (2015, background): “32, which is equivalent to an overlap of about 10% of variance with the other items in that factor, and is seen as a good rule of thumb for the minimum factor loading [103,104].”