Applied Longitudinal Data Analysis

By J. Singer, J. Willett. 2003

7,918 citations recorded by the source corpus.

Subfields: Education, Experimental and Cognitive Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/5ba7bff4f3336e230dc406c7d30a668ce74fc784

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In Experimental and Cognitive Psychology

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Citations in the corpus

Unpredictable animals: individual differences in intraindividual variability (IIV) (2012, methodology): “We tested for individual variation in the intercepts and/or slopes of the relationship between ln-latency and observation number, by specifying the intercept and observation number as random effects, with any remaining factors treated as fixed effects (Singer & Willett 2003; West et al. 2010).”
Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement (2018, background): “The examination of trends in traditional longitudinal research reflects a theoretical emphasis on growth, learning, or other developmental processes (Singer & Willett, 2003).”
Reductions in Risk Based on Time Offense-Free in the Community: Once a Sexual Offender, Not Always a Sexual Offender (2017, methodology): “Hazard rates for sexual recidivism were modeled using discrete time survival analysis (Singer & Willett, 1993, 2003; Willett & Singer, 1993).”
An Integrated Curriculum to Improve Mathematics, Language, and Literacy for Head Start Children (2011, methodology): “Sequencing of covariate entry and treating of interaction effects proceeded as recommended by Bauer and Curran (2006), Singer and Willett (2003), and Willett et al. (1998).”
Peer relationships as a context for the development of school engagement during early adolescence (2011, positive): “The unconditional models included predictors at either level and were tested to examine whether there was systematic variation in behavioral and emotional engagement worth exploring, and if so, whether the variation lies within or between persons (Singer & Willett, 2003).”
The disaggregation of within-person and between-person effects in longitudinal models of change. (2011, methodology): “Many quality resources exist that offer guidance in fitting and interpreting growth models within both the multilevel model (e.g., Raudenbush & Bryk 2002, Singer & Willett 2003) and structural equation model (Bollen & Curran 2006, Duncan et al. 2006, McArdle 2009).”
Identities Through Time: An Exploration of Identity Change as a Cause of Desistance (2016, methodology): “These analyses are presented for the person-period data-set (multiple rows per person) (Singer & Willett, 2003).”
Relating Latent Change Score and Continuous Time Models (2015, neutral): “This, for example, is the case in latent growth curve models (Bollen & Curran, 2006; Duncan, Duncan, & Strycker, 2006) or multilevel/mixed-effects models (Hox, 2010; Pinheiro & Bates, 2000; Singer & Willett, 2003).”
Optimism and the Boundaryless Career: The Role of Developmental Relationships (2010, methodology): “Rather, all available waves of data from each individual are included and no imputation for missing data is needed (Singer & Willett, 2003).”
Emotions, Self-Regulated Learning, and Achievement in Mathematics: A Growth Curve Analysis (2013, background): “Tracy and Robins (2007) distinguished between two types of pride experience: authentic pride and hubristic pride.”
Cross-Functional Integration and New Product Success: An Empirical Investigation of the Findings (2008, methodology): “…constant, γk are parameter Y X u eij k k ij k j ij= + + + = ∑γ γ0 1 12 , , 5Plots of standardized residuals (at Levels 1 and 2) by studies show that most fall within two standard deviations of the center, suggesting that the residuals are normally distributed (Singer and Willett 2003, pp. 128–32).”
The development of leader-member exchanges: Exploring how personality and performance influence leader and member relationships over time (2009, methodology): “The linear and quadratic components were then defined by the number of weeks that had elapsed since the initial interaction (see Kenny et al., 2006; Singer & Willett, 2003).”
Job Mobility and Wage Trajectories for Men and Women in the United States (2008, background): “Applied to longitudinal data, multilevel regression estimates both how individuals change over time and how these changes vary across individuals (Singer and Willett 2003).”
Mispredicting distress following romantic breakup: Revealing the time course of the affective forecasting error (2008, methodology): “…whether participants’ Predicted Distress reports differed from their Actual reports at Time 0; a positive value for this parameter would indicate an affective forecasting initial intensity bias (statistically referred to as an initial status or intercept effect; see Singer & Willett, 2003).”
Persons as Contexts: Evaluating Between-Person and Within-Person Effects in Longitudinal Analysis (2009, methodology): “A variety of alternative patterns of within-person correlation are available to address those cases, paired with or without a random intercept (cf., Hoffman, 2007; Singer & Willett, 2003).”