Structural equation modeling : a second course
2006
332 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/e63fff0fd2684791056bdcaa6f11cb68c5b20fa2
Citations in the corpus
- How Sound Is NSSE?: Investigating the Psychometric Properties of NSSE at a Public, Research-Extensive Institution (2011, unknown): “Institutional variables such as college cumulative GPA, high school GPA, and SAT math scores were added to the dataset.”
- Is Augmented Reality Technology an Effective Tool for E-commerce? An Interactivity and Vividness Perspective (2017, unknown): “The result showed that for each set of indicator variables of all constructs CR exceeded .70 (.81 ≤ CR ≤ .97) (Hancock and Mueller 2006), thus establishing reliability.”
- The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ) (2013, unknown): “It is a diagona lly-weighted least squares approach where only the diagonal elements of the weight matrix are used in the estimation while the full weight matrix is used to compute standard errors and χ(2) [40].”
- Understanding and Using Mediators and Moderators (2008, unknown): “MacCallum et al. (1993) and Hershberger (2006) showed that for any given model, there are alternative models, with different patterns of relationships among the variables, that fit the data equally well as the chosen model.”
- Revisiting the Empirical Distinction Between Hedonic and Eudaimonic Aspects of Well-Being Using Exploratory Structural Equation Modeling (2016, unknown): “For example, they may use item parceling or post hoc modifications (Morin et al. 2013).”
- Complementary Variable- and Person-Centered Approaches to the Dimensionality of Psychometric Constructs: Application to Psychological Wellbeing at Work (2016, unknown): “EFA has recently been integrated with CFA and SEM into an overarching exploratory structural equation modeling (ESEM) framework (Marsh et al. 2014; Morin et al. 2013), making possible the use of EFA factors in predictions, tests of measurement invariance, etc. Likewise, it is now possible to rely…”
- Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, unknown): “Kline (2006) listed two assumptions for feedback loops: One is that of equilibrium, which means that any changes in the system underlying a feedback relation have already manifested their effects and that the system is in a steady state (Heise 1975).”
- Department Conditions and Practices Associated with Faculty Workload Satisfaction and Perceptions of Equity (2019, unknown): “As opposed to exploratory factor analyses, where models are entirely data driven, CFA allows the researcher to explore and confirm the originally envisioned theoretical structure (Hair, Tatham, Anderson, & Black, 1998; Pett, Lackey, & Sullivan, 2003; Stevens, 1992).”
- Assessing unidimensionality: A comparison of Rasch modeling, Parallel analysis, and TETRAD (2007, unknown): “Although in SEM specific methodologies had developed to tackle models with feedback loops, which are also known as non-recursive models, it is generally agreed that it is difficult to determine whether a non-recursive model is identified (Kline, 2006).”
- Entrepreneurial ecosystems in cities: establishing the framework conditions (2016, unknown): “Third, the GFI increases as the number of parameters increases with traditionally cut-off point of 0.90 has been recommended for the GFI (Hancock and Mueller 2006).”
- Toward a theoretical model to understand teacher emotions and teacher burnout in the context of student misbehavior: Appraisal, regulation and coping (2013, unknown): “Comparing the above three models, fit indices for Alternative Model 1 were slightly better than the other two, and the theoretical fit and utility of the model also appeared to be more appropriate than the other two models (Hancock and Mueller 2006).”
- The Individual Consistency of Acquiescence and Extreme Response Style in Self-Report Questionnaires (2010, unknown): “In other settings, BIC has been quite consistently found to be the optimal criterion, which is also less sensitive to sample size than other indices like AIC (Bauer & Curran, 2004; Gagné, 2006; Nylund, Asparouhov, & Muthén, 2006).”
- Validity of four pain intensity rating scales (2011, unknown): “The nondominant hand was then immersed to the wrist in the container with tepid water (36 C ± 1 C) for 2 minutes, in order to reduce preexisting differences in hand temperature [53].”