An Introduction to Applied Multivariate Analysis

By Tenko Raykov, George A. Marcoulides. 2008

682 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1481a11663e6abbaa07ff034cfe887677796eded

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Citations in the corpus

Individual differences in self-regulated learning: Exploring the nexus of motivational beliefs, self-efficacy, and SRL strategies in EFL writing (2021, methodology): “Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables (predictors) (Raykov & Marcoulides, 2008).”
Shaping Professional Development to Promote the Diffusion of Instructional Expertise Among Teachers (2013, background): “Moreover, controlling for prior reduces the potential of residuals’ nonnormality and therefore increases the consistency of estimates (Raykov & Marcoulides, 2008).”
Exploring Colleagues’ Professional Influence on Mathematics Teachers’ Learning (2014, background): “Moreover, controlling for prior knowledge or practice reduces the potential of residuals’ non-normality and, therefore, increases the consistency of estimates (Raykov & Marcoulides, 2008).”
Creating College Opportunity: School Counselors and Their Influence on Postsecondary Enrollment (2013, methodology): “While inclusive analysis strategies (IAS)—in particular, checking for consistency between estimates in my final model and an alternative model including additional, auxiliary variables that were ‘‘predictive’’ of missing values [see Panter and Sterba (2011) for more detail about IAS]—improved the li”
Students’ perceptions of school climate as determinants of wellbeing, resilience and identity (2016, background): “Mardia’s coefficient (a measure of multivariate normality) was 2527.965, which is less than the recommended value (Raykov & Marcoulides, 2008).”
Servant leadership, organisational trust, and bank employee outcomes (2019, neutral): “Multivariate normality can be assumed when the Mardia’s coefficient is less than p (p + 2), where p equals the number of observed variables in the model (Bollen, 1989; Raykov & Marcoulides, 2008).”
Factors influencing teachers' intention to use technology: Model development and test (2011, methodology): “The Mardia's coefficient (Mardia, 1970) for the data in this study was 402.35, which is lower than the value of 440 computed based on the formula p(p+2) where p equals the number of observed variables in the model (Raykov & Marcoulides, 2008).”
STUDY QUALITY IN SLA (2013, background): “For example, MANOVA preserves statistical power and better refl ects the multivariate nature of the reality we attempt to measure (Fish, 1988 ; Raykov & Marcoulides, 2008 , chapter 1; see Gelman, Hill, & Yajima, 2012, for an alternate, Bayesian perspective on multiple comparisons).”
New Ways to Evaluate Goodness of Fit: A Note on Using Equivalence Testing to Assess Structural Equation Models (2017, background): “…believe that there can still be a place for model fit indexes, as long as no decision concerning goodness of fit is based on just a single index, no matter how favorable for the model that index might appear (Hu & Bentler, 1999; Raykov & Marcoulides, 2006, 2008; Tomarken & Waller, 2005; Yu, 2002).”
Longitudinal Pathways From Math Intrinsic Motivation and Achievement to Math Course Accomplishments and Educational Attainment (2013, background): “…is needed: a nonsignificant chi-square goodness-of-fit value; a CFI > .90; an RMSEA below 0.05 and the left endpoint of its 90% confidence interval is markedly smaller than 0.05 (with this interval not excessively wide; for further details, see Hu & Bentler, 1999; Raykov & Marcoulides, 2008).”
One Size Doesn’t Fit All: Using Factor Analysis to Gather Validity Evidence When Using Surveys in Your Research (2019, methodology): “…the participant’s responses on different subsets of items relate more closely to one another than to other subsets, that is, it is an analysis of the dimensionality among the items (Raykov and Marcoulides, 2008; Leandre et al., 2012; Tabachnick and Fidell, 2013; Kline, 2016; Bandalos, 2018).”