Principles and practice of structural equation modeling, 3rd ed.

By Rex Bryan Kline. 2011

6,987 citations recorded by the source corpus.

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Citations in the corpus

The Development and Validation of the Mindful Self-Care Scale (MSCS): an Assessment of Practices that Support Positive Embodiment (2017, background): “Skewness values greater than an absolute value of 3 and/or kurtosis values exceeding the absolute value of 7 are considered problematic for statistical analyses (Chou and Bentler 1995; Kline 2011).”
Identity leadership going global: Validation of the Identity Leadership Inventory across 20 countries (2018, methodology): “Univariate and multivariate patterns indicated that the data were not normally distributed (Kline, 2011).”
The Empathy Assessment Index (EAI): A Confirmatory Factor Analysis of a Multidimensional Model of Empathy (2011, methodology): “40), cross-loadings (items that could load on more than one factor), highly correlated items, and items that could cause the highest expected decrease in chi-square values according to the modification index (Kline, 2010).”
College Students’ Psychological Needs and Intrinsic Motivation to Learn: An Examination of Self-Determination Theory (2017, background): “10 (although values less than 0.05 are ideal; Kline, 2011), comparative fit index (CFI) value greater or equal to 0.”
Making creative metaphors: The importance of fluid intelligence for creative thought (2012, methodology): “We thus modeled the ratings as ordinal variables, which avoids violating the assumption of multivariate normal indicators (Kline, 2010; Skrondal & Rabe-Hesketh, 2004; Yang-Wallentin, Jöreskog, & Luo, 2010).”
The Relationship Between Adolescents’ Perceived Parental Involvement, Self-Efficacy Beliefs, and Subjective Well-Being: A Multiple Mediator Model (2015, background): “The skewness and kurtosis values of all the variables, except for family income, were acceptably normal with no item possessing absolute skewness and kurtosis higher than 3 and 5, respectively (Kline 2011).”
The Authenticity of Heritage Sites, Tourists’ Quest for Existential Authenticity, and Destination Loyalty (2017, background): “Furthermore, the reliability alphas of the six factors were all above 0.7, suggesting that the reliability was adequate (Kline 2011).”
Influential Factors in Academic and Career Self‐Efficacy: Attachment, Supports, and Career Barriers (2014, methodology): “Aside from the model not providing an absolute fit to the data, a common and well-discussed explanation to a significant chi-square could be the large sample size (Kline, 2011; Loehlin, 2004), which can lead to rejection of the model based on slight differences between the data and the model (Kline,”
The Structure of Cognitive Vulnerabilities to Depression and Anxiety (2014, methodology): “06 (Kline, 2010).”
ASSESSING MULTIDIMENSIONAL WELL‐BEING: DEVELOPMENT AND VALIDATION OF THE I COPPE SCALE (2015, unknown): “Considering a diverse set of model data fit indices is consistent with cautions against overreliance on a particular type of model data fit index (e.g., absolute) at the possible expense of substantive considerations (e.g., Kline, 2010; Myers, Chase, Pierce, & Martin, 2011).”
Self-Compassion and Psychological Well-Being in Older Adults (2016, methodology): “Data were examined for normality, and skew and kurtosis values were within recommended limits for multiple regression analyses (Kline 2010).”
A Tutorial on Interpreting Bifactor Model Scores (2013, background): “…discriminations on the general factor, but low to moderate discriminations on the specific trait (Table 4); these items measured the general factor well but did 4For an overview of the importance of model testing and comparisons and how to conduct them, see Kline, 2010, Chapters 4, 8, and 9.”
Exploring the relationships between academic buoyancy, academic self-concept, and academic performance: a study of mathematics and reading among primary school students (2019, methodology): “The present analysis took an item-parceling approach (Kline, 2011) in order to obtain greater reliability and more stable parameter estimates in our empirical model by reducing the ratio of estimated parameters to sample.”
The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored (2017, background): “and build up to a more complex one (Kline, 2010).”