Using multivariate statistics, 5th ed.
By B. Tabachnick, L. Fidell. 2007
25,047 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/07e714617d4bf98b7ab408bf7ebaee1c9275a0da
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Citations in the corpus
- Gender differences in emotional intelligence: The mediating effect of age. (2012, methodology): “MANOVA allows dependent variables to be correlated and is more powerful than ANOVA for detecting group differences (Tabachnick & Fidell, 2007).”
- Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective (2010, methodology): “…(and models built thereof), it seems clear that the sample size should be considerably in excess of the number of predictor variables (see, e.g. Tabachnick and Fidell 2001, Harrell 2001 and Quinn and Keough 2002, or see Field 2005 who gives some guidelines about acceptable ratios of the number…”
- Measuring Transgender Individuals’ Comfort With Gender Identity and Appearance (2012, methodology): “Criteria for factor loadings included item values .40 on the primary factor and values .30 on other factors (Tabachnick & Fidell, 2001).”
- The Role of Entrepreneurial Passion and Creativity in Developing Entrepreneurial Intentions: Insights from American Homebrewers (2017, methodology): “4 and collinearity diagnostics condition index< 30, all being within recommended values (Hair et al. 2010; Tabachnick and Fidell, 2001).”
- Addition through subtraction: Growth following the dissolution of a low quality relationship (2007, methodology): “As suggested by Tabachnick and Fidell (2001), the order of entry was based on logical considerations.”
- Breaking the Segregation Cycle: Examining Students' Precollege Racial Environments and College Diversity Experiences (2010, result): “The results from these factor analyses yielded a factor reliability that indicated an acceptable internal consistency (alpha = .88) for this factor scale (Tabachnick & Fidell, 2001).”
- The six types of nonbelief: a qualitative and quantitative study of type and narrative (2014, methodology): “To account for the use of multiple tests, a more stringent alpha level was computed using a Bonferroni correction that divides the standard alpha level of .05 by the number of individual analyses conducted (Tabachnick & Fidell, 2012).”
- The Effects of Formative Assessment on Academic Achievement, Attitudes toward the Lesson, and Self-Regulation Skills * (2018, methodology): “The univariate and multivariate normality, the equality of regression curves, the equality of variances and the variance-covariance equality assumptions required for the use of ANCOVA and MANCOVA were examined (Field, 2013; Pallant, 2013; Tabachnick & Fidell, 2014).”
- Red Tape, Resigned Satisfaction, Public Service Motivation, and Negative Employee Attitudes and Behaviors (2015, background): “Non-normally distributed variables (highly skewed or kurtotic variables, or variables with substantial outliers) can distort relationships and significance tests (Pedhazur, 1997; Tabachnick & Fidell, 2000).”
- Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR. (2014, background): “All loadings are checked to be above the minimum of .32 as advised by Tabachnick and Fidell (2001).”
- Newly qualified teachers’ professional digital competence: implications for teacher education (2018, background): “This is considered excellent (Tabachnick and Fidell, 2007).”
- Mentors and College Student Leadership Outcomes: The Importance of Position and Process (2012, background): “As a result, no transformations of the data were necessary (Tabachnick & Fidell, 2007).”
- Specific Religious Beliefs in a Cognitive Appraisal Model of Stress and Coping (2010, unknown): “As ratio data are bound by zero and are therefore naturally skewed, an additional transformation before analysis is suggested to improve normality (Tabachnick & Fidell, 2007).”
- Elevation at work: The effects of leaders’ moral excellence (2010, unknown): “Before analyzing the data, we tested for eventual violations of normality and absence of outliers assumptions, following common recommendations (see, e.g., Tabachnick & Fidell, 2001).”