The best of both worlds: Combining autoregressive and latent curve models.

By P. Curran, Kenneth A. Bollen. 2001

330 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4e205e2871180547e412cab93fea6ee4ea8423df

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Citations in the corpus

Is avoidant leadership a root cause of subordinate stress? Longitudinal relationships between laissez-faire leadership and role ambiguity (2014, methodology): “Growth curve modelling could alternatively have been used (see, e.g. Curran & Bollen, 2002).”
The reciprocal relations between self-concept, motivation and achievement: juxtaposing academic self-concept and achievement goal orientations for mathematics success (2014, methodology): “…and performance goal orientations with mathematics achievement, four autoregressive bivariate cross-lagged structural equation models were used (Curran & Bollen, 2001; for details of the equations used to represent the autoregressive bivariate cross-lagged model see Hong, Yoo, You, & Wu, 2010).”
The disaggregation of within-person and between-person effects in longitudinal models of change. (2011, methodology): “Indeed, crossing the work of Curran & Bollen (2001) with Curran et al. (2010) raises several key questions as toprecisely how within-and between-person effects might meaningfully map onto time- and trajectory-specific effects within the LCM (if they even can be mapped at all).”
Factorial Invariance within Longitudinal Structural Equation Models: Measuring the Same Construct across Time (2010, background): “…McArdle & Epstein, 1987; Meredith & Tisak, 1984, 1990) and interrelations across time among two or more processes (e.g., Cole & Maxwell, 2003; Curran & Bollen, 2001; Maxwell & Cole, 2007; McArdle, 2001; McArdle & Hamagami, 2001) are predicated on satisfying a key assumption: for each…”
A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents (2007, methodology): “Signifi cant 1 Autoregressive models with cross-lagged relations were also examined individually and within the context of autoregressive latent trajectory models (see Bollen & Curran, 2004; Curran & Bollen, 2001).”
Math self-concept in preschool children: Structure, achievement relations, and generalizability across gender (2016, background): “Cross-lagged panel models include cross-lagged paths depicting reciprocal relations between one variable and another between two consecutive measurement points while simultaneously taking the stability of the constructs into account (Curran & Bollen, 2001).”
Modeling Longitudinal Data from Research on Adolescence (2009, background): “Bollen and Curran ( 2004 , 2006 ) and Curran and Bollen ( 2001 ) emphasize that panel models and latent growth curve models need not be treated as mutually exclusive choices for modeling longitudinal data.”
Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions (2004, background): “See Curran and Bollen (2001) and Rodebaugh, Curran, and Chambless (2002) for a detailed substantive application of this model.”
A critique of the cross-lagged panel model. (2015, methodology): “the ALT model presented by Curran and Bollen (2001), the ran-”
Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement (2007, background): “…this presentation include the autoregressive cross-lag model (Jöreskog, 1970, 1974, 1979; Jöreskog & Sörbom, 1979), the autoregressive latent trajectory model (ALT; Bollen & Curran, 2004; Curran & Bollen, 2001), and the multivariate latent differential equation model (Boker, Neale, & Rausch, 2004).”
Perceived fit with an academic environment: Attitudinal and behavioral outcomes (2008, background): “Occasionally, autoregressive and LGM analyses have been seen as competing versions of the analysis of change, but more recently Curran and Bollen (2001) have argued that they are complementary methods and in fact have proposed an autoregressive latent trajectory model that combines both.”
The personality‐identity interplay in emerging adult women: convergent findings from complementary analyses (2006, background): “…different approach to modelling change characteristic of both approaches, it is possible that time-specific measures of identity and personality are unrelated over time, but instead the relation is solely found at the level of the underlying trajectory, or vice versa (Curran & Bollen, 2001).”
The Impact of Knowledge Coordination on Virtual Team Performance Over Time (2007, methodology): “This approach is normally known as the Markov simplex model or first-order autoregressive model (Dunn et al. 1993), which is widely accepted to be “well-suited for examining the time-specific relations between two constructs over time” (Curran and Bollen 2001, p. 109).”