Principles and practice of structural equation modeling, 4th ed.

By Rex Bryan Kline. 2016

5,081 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/e2b9bd3e4f6cf25d662dac6d736680f67d464df6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “Kline (2016) described three cautions regarding factor names: (a) they are solely for ease of verbal communication and may not mean that “the hypothetical construct is understood or even correctly labeled” (p. 300), (b) they should not be thought of as corresponding to real things (i.e.,…”
The Mediation Myth (2015, methodology): “There are ways in SEM to explicitly control for measurement error in each and every observed variable (Hayduk & Littvay, 2012), but such methods are infrequently used when mediational path models like Figure 1a are analyzed.”
Visitors’ Place Attachment and Destination Loyalty: Examining the Roles of Emotional Solidarity and Perceived Safety (2020, methodology): “715, indicating normal distribution of the data (Kline 2016).”
Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale (2017, methodology): “We anticipated a lower CFI due to the complexity of the model and set the model fit criteria for CFI at .90 (see Kline, 2016; Marsh, Hau, & Wen, 2004, for a discussion of setting a priori model fit criteria).”
Latent Class Analysis: A Guide to Best Practice (2020, result): “This concept is similar to the notion of a latent construct driving scores on scale items in factor analysis procedures (Kline, 2016).”
The impact of relational governance on performance improvement in export manufacturing firms (2018, methodology): “The measurement model allows us to decide whether the unidimensionality is in modelling is warranted (Hu et al., 1995; Kline, 2015).”
The impact of coping strategies on occupational stress and turnover intentions among hotel employees (2018, methodology): “In terms of data normality, Kline (2015) suggests as a rule of thumb that extreme skewness is defined by skewness values greater than an absolute value of 3.0 and extreme kurtosis is defined by absolute kurtosis values ranging from 8.0 to over 20.”
Psychometric Evidence of the Brief Resilience Scale (BRS) and Modeling Distinctiveness of Resilience from Depression and Stress (2018, methodology): “This is an indication of robustness and reliability of the emerging solutions (Brown, 2015; Kline, 2016).”
Burnout Assessment Tool (BAT)—Development, Validity, and Reliability (2020, background): “Given that only two factors emerged from the EFA, a hierarchical model is not feasible because it would entail an underestimation of the direct effect of the second-order factor or the error variances [52].”
A Comparison of CFA, ESEM, and BSEM in Test Structure Analysis (2019, background): “Kline (2016) classified CFA models into two categories, standard and nonstandard CFA models.”
ACADEMIC BUOYANCY (2018, background): “Because these models are nonhierarchical, the most informative fit indices are the AIC and BIC values, according to which lower values indicate better fit (Kline, 2016).”
Nonlinear Transformations in Organizational Research: Possible Problems and Potential Solutions (2018, methodology): “Other techniques for determining which NLT to use include bulge rules, loess lines, and the Box-Cox and Box-Tidwell procedures (Cohen et al., 2003; Kline, 2016).”
“I’m Not a Science Nerd!” (2018, methodology): “When conducting path analysis, it is recommended that theoretically plausible alternative models be tested alongside the hypothesized model (Kline, 2016).”
The Psychological and Academic Costs of School-Based Racial and Ethnic Microaggressions (2017, methodology): “The goodness of fit for the three-factor model for women was good with Wave 3 data, x2(68) = 116, p \ .001, RMSEA = .052, 90% CI [.035, .068], and the fit indices indicated a good level of fit (CFI = .978, TLI = .970, SRMR = .033).”
Conceptualisation and measurement of foreign language learning burnout among Chinese EFL students (2021, methodology): “According to the benchmarks for the indices assessing model ﬁ t (Kline 2016), the ﬁ rst trial of CFA results showed that the original three-factor model with 15 items was not supported (see Table 2).”