Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95

By Kenneth A. Bollen. 1990

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Citations in the corpus

Invariant Causal Prediction for Sequential Data (2017, background): “Under certain assumptions, the set S∗ corresponds to the set of direct causes (or parents) of the target variable Y. This is best understood in the framework of structural causal models (SCMs) (e.g., Bollen, 1989; Pearl, 2009). 5 Deﬁnition 2.3 (structural causal models) A vector of variables (X0,X1,”
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “These models are known as Structural Equation Models (SEM) (Wright, 1921; Bollen, 1989) and are popular in econometrics, sociology, psychology and other fields.”
Anchor regression: Heterogeneous data meet causality (2018, methodology): “rical exogeneous variables are only available on the training, but not on the test dataset. 2 Setting and notation We assume that the data are generated from a linear structural equation model (SEM) [Bollen, 1989, Robins et al., 2000, Pearl, 2009]. The overall goal is to predict the target variable ”
A Semiparametric Approach to Modeling Nonlinear Relations Among Latent Variables (2005, unknown): “ing Bollen (1989), Kaplan (2000), and Kline (1998).”
The Epistemology of Entrepreneurial Orientation: Conceptual Formation, Modeling, and Operationalization (2011, background): “Covin and Slevin (1989) built on the work of Khandwalla and Miller and Friesen to develop the 9-item scale that has become the standard for measuring EO.”
An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research (2011, methodology): “The default maximum likelihood method assumes conditional multivariate normality (Muthén 1987), although the method is also robust against mild violations of this assumption (Bollen 1989).”
A Stated Preference Experiment for Measuring Service Quality in Public Transport (2008, methodology): “Examples of SEM are reported in Vilares and Coelho (2003) and Grønholdt and Martensen (2005); an ordinal regression technique was proposed by Siskos et al. (1998).”
Individualistic orientation and consumer susceptibility to interpersonal influence (2005, methodology): “Another limitation to the use of multi-group structural equation modeling is the large sample size requirement (Bollen, 1989).”
Sport teams as promoters of pro-environmental behavior: an empirical study. (2012, background): “For reasonable fit, the χ2/df of 2–3 is recommended (Bollen, 1989).”
Probing for the Multiplicative Term in Modern Expectancy-Value Theory: A Latent Interaction Modeling Study. (2012, unknown): “Moreover, structural equation modeling techniques (eg, Bollen, 1989) that control for measurement error by modeling latent variables with multiple indicators are a potential solution for the reliability problem.”
Longitudinal Cross-Gender Factorial Invariance of the Academic Motivation Scale (2006, methodology): “Maximum likelihood estimation procedures were used with Satorra and Bentler’s (1988, 1994) scaling corrections, allowing for the calculation of the Satorra-Bentler (SB) scaled chi-square value (SBχ2).3 Two types of fit indexes were used: overall and comparative fit indexes (see Bollen, 1989 ).”
Early Adolescent Depression Symptoms and School Dropout: Mediating Processes Involving Self-Reported Academic Competence and Achievement (2013, background): “Standardized coefficients for direct and indirect effects (Bollen, 1989) are reported for the final model.”
Self-esteem, dispositional optimism, and health: Evidence from cross-lagged data on employees (2004, unknown): “0 indicate an acceptable model (Bollen, 1989).”