New Methods for the Analysis of Change

By K. Widaman. 2003

255 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7c9854043da3b7554eff8b3a7d16c53a0832165a

How researchers see this paper

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

In Developmental and Educational Psychology

In Management Science and Operations Research

Citations in the corpus

Microgenetic Analyses of Learning (2007, methodology): “Miller and Coyle (1999) to conclude: “Although the microgenetic method reveals how behavior can change, it is less clear whether behavior typically does change in this way in natural settings” (p.”
Multivariate longitudinal methods for studying developmental relationships between depression and academic achievement (2007, unknown): “…10.1177/0165025407077754 Recent advances in longitudinal methods (Bollen & Curran, 2004; Browne, 1993; Bryk & Raudenbush, 1992; Collins & Horn, 1991; Collins & Sayer, 2001; Cudeck, 1996; Cudeck & Klebe, 2002; McArdle, 1986, 1988, 2001; Meredith & Tisak, 1990; B. Muthén & Shedden, 1999; Singer &…”
An Introduction to Growth Modeling (2004, unknown): “Similarly, several collected editions are available (Bock, 1989b; Collins & Sayer, 2001; Leyland & Goldstein, 2001; Moskowitz & Hershberger, 2002) containing a variety of HLM developments.”
Students emotions during homework in mathematics: Testing a theoretical model of antecedents and ac (2011, methodology): “PAN uses a multivariate extension of a two level linear regression model commonly ap plied to multilevel data (Schafer, 2001).”
THE DEVELOPMENT OF SELF-DETERMINATION ACROSS THE LANGUAGE COURSE (2019, background): “…paths within each construct (i.e., from earlier mean levels of a variable to later mean levels in the same variable), and withintime covariances among the latent residual components across constructs (e.g., covariance between intrinsic motivation and engagement at wave 1; Sayer & Cumsille, 2001).”
Latent growth curve modeling as an integrative approach to the analysis of change (2007, methodology): “On the one hand, there are the “traditional approaches” dealing with the analysis of mean changes, on the other hand there are the “new methods for the analysis of change” (Collins & Sayer, 2001) focusing on individual changes over time.”
Indecisiveness and High School Students' Career Decision-Making Process: Longitudinal Associations and the Mediational Role of Anxiety. (2006, background): “Stability, meaning the invariance of relative standing of people over time, is characteristic of a trait (Kenny & Zautra, 2001; Strelau, 2001).”
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, unknown): “…observation differences on another variable, such as in regression analysis, does not analytically operationalize change (Burr & Nesselroade, 1990; Collins & Sayer, 2001; Cronbach & Furby, 1970; Duncan, Duncan, Strycker, Li, & Alpert, 1999; Lance et al., 2000; Rogosa, 1995; Rogosa, Brandt, &…”
Mediation Analysis in a Latent Growth Curve Modeling Framework (2011, background): “…regarding the causal nature of the relationship between the two slopes be based on strong theory (Cheong et al., 2003; MacKinnon, 2008); others have, however, proposed avoiding longitudinal mediation models entirely when temporal precedence cannot be clearly delineated (Selig & Preacher, 2009).”
Recent Advances in Causal Modeling Methods for Organizational and Management Research (2003, background): “While many meaningful advances have come from such tests, a known limitation is the inability to unambiguously address questions concerning actual change along the constructs of interest (Chan, 1998, 2002; Chan & Schmitt, 2000; Collins & Sayer, 2001; Lance, Meade & Williamson, 2000; L.J. Williams et”
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).”