Latent variables in psychology and the social sciences.

By Kenneth A. Bollen. Annual Review of Psychology, 2002

1,099 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/91862a81bd9382028b1b78881be7ef4bcf71429f

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Citations in the corpus

The Accuracy of Self-Reported Internet Use—A Validation Study Using Client Log Data (2016, background): “” Another strategy is to measure the behavior of interest with multiple items so that item-specific and random errors can be estimated in latent variable models (Bollen, 2002; Diamantopoulos, Sarstedt, Fuchs, Wilczynski, & Kaiser, 2012).”
Latent Variable Theory (2008, result): “This is consonant with the views of Bollen (2002), who takes the view that variables that are considered latent today may, upon improvement of measurement procedures, be considered observed in the future.”
An Alternative Approach for Nonlinear Latent Variable Models (2010, background): “We deal only with latent variable models, so the number of variables and dimensionality of z is less than that of ξ (see Bollen, 2002 ).”
A cognitive latent variable model for the simultaneous analysis of behavioral and personality data. (2014, background): “More precisely, latent variables are at least partially unobserved variables that jointly explain the covariance between a set of observed variables (this is called the ‘‘local independence’’ definition in Bollen, 2002).”
Multivariate Meta-Analysis as Structural Equation Models (2013, neutral): “SEM is now a standard statistical model to fit various models in the social and behavioral sciences (Bollen, 2002; MacCallum & Austin, 2000; Tomarken & Waller, 2005).”
Integrative Data Analysis: The Simultaneous Analysis of Multiple Data Sets (2009, background): “, Bollen, 2002). The items are linked to the underlying factor via the factor loadings; these serve as partial regression coefficients that index the extent of change in the individual items resulting from a one-unit change in the latent factor. Each item is also defined by an item-specific intercep”
Does Sustainable Supplier Cooperation Affect Performance (2012, methodology): “We performed an extensive literature review to identify existing and appropriate scales and designed reflective measures (Diamantopoulos and Winkelhofer 2001 , Bollen 2002 , Diamantopoulos et al .”
The α and the ω of Congeneric Test Theory: An Extension of Reliability and Internal Consistency to Heterogeneous Tests (2005, background): “Given these considerations, the random variable representing an attribute is a latent random variable, one for which there are no sample realizations (Bollen, 2002).”
Psychopathy as a clinical and empirical construct. (2008, background): “F or p er so na l u se o nl y. us to generalize relationships” (Bollen 2002, p. 606).”
EIGHT MYTHS ABOUT CAUSALITY AND STRUCTURAL EQUATION MODELS (2013, neutral): “The first is a set of equations that give the causal relations between the substantive variables of interest, also called “latent variables,” because they are often inaccessible to direct measurement (Bollen 2002).”
Exploratory Factor Analysis With Small Sample Sizes (2009, background): “Besides, as Bollen (2002) noted, Resolution of this indeterminacy is theoretically possible under certain conditions : : : (a) when the sample size (N ) goes to infinity, (b) when the number of observed variables goes to infinity, and (c) when the squared multiple correlation for the latent…”
Comorbidity: A network perspective (2010, background): “Among other things, the target article provides a welcome expansion on ideas presented by Borsboom (2008). I focus on areas that could use further fleshing out and on psychometric and methodological issues, leaving clinical issues for others with expertise in that area.”
John Carroll’s Views on Intelligence: Bi-Factor vs. Higher-Order Models (2015, background): “Following Bollen [15], I refer to them as factors.”
Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic (2010, background): “…analysis is widely used in behavioural, social and economic studies to analyze structural relations between variables, some of which may be latent (i.e., unobservable, Bollen, 2002); see, e.g., Bollen and Curran (2006), Grace (2006), Lee (2007), Yuan and Bentler (2007), and references therein.”
The Specific Affect Coding System (SPAFF). (2007, background): “Figure 16.1 depicts, for the purpose of illustration,1 a latent variable model (cf. Bollen, 2002) representing the SPAFF code Validation.”