Multilevel Modeling for Social and Personality Psychology

By J. Nezlek. 2011

257 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9ff2946752fff974e52f47a0cdcb6cf15b216838

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In Experimental and Cognitive Psychology

In Sociology and Political Science

Citations in the corpus

The role of cultural dimensions of international and Dutch students on academic and social integration and academic performance in the Netherlands (2013, methodology): “As our prime interest was in the fixed regression coefficients, rather than the random intercept, we followed Twisk (2006) in using the maximum likelihood (ML) method, rather than the restricted maximum likelihood (REML) method.”
You want me to do what? Two daily diary studies of illegitimate tasks and employee well‐being (2016, methodology): “Reliability estimates were calculated according to Nezlek (2011) and are within parentheses on the diagonal of the table.”
What makes student entrepreneurs? On the relevance (and irrelevance) of the university and the regional context for student start-ups (2016, background): “Second, simultaneously estimating predictor effects from different hierarchical levels makes it possible to quantify the relative impact of each level with respect to the overall hierarchical system (Nezlek, 2011; Rabe-Hesketh & Skrondal, 2008; Snijders & Bosker, 2004).”
Private self-consciousness in daily life: Relationships between rumination and reflection and well-being, and meaning in daily life (2017, background): “As discussed by Nezlek (2011), these SDs were taken from unconditional models.”
Belief in a Zero-Sum Game as a Social Axiom (2015, methodology): “…next to test the relationships between BZSG and other individual-level constructs, moderated by cultural level–variables selected from previous correlation analyses (HLM 7 Hierarchical Linear and Nonlinear Modeling, Scientific Software International, Inc. (c) 2000 was used; see Nezlek, 2011.)”
A Field Study of the Antecedents and Performance Consequences of Perceived Accountability (2014, background): “Because our data are multilevel (employees nested within supervisors) and theory suggests that there will be a group effect, multilevel analysis is necessary (Nezlek, 2011; Snijders & Bosker, 1999).”
Ostracism in everyday life. (2012, methodology): “See Nezlek (2011) for a description.”
Cross-Cultural Validation of Fear of Happiness Scale Across 14 National Groups (2014, methodology): “All the individual-level variables were group-mean centered, and the two country-level variables were grand-mean centered (Nezlek, 2011; Welzel, 2010).”
The Relation Between Self-Regulated Learning and Academic Achievement Across Childhood and Adolescence: A Meta-Analysis (2015, unknown): “Multilevel modeling is uniquely able to address this question by accounting for nesting of academic tasks within classrooms and classrooms with academic subjects (Nezlek 2011).”
The Climate for Entrepreneurship at Higher Education Institutions (2018, methodology): “Compared to ordinary regression modelling, using multi-level analyses provides several advantages (Nezlek, 2011; Rabe-Hesketh and Skrondal, 2008; Snijders and Bosker, 2004).”
Within-Person Variability in Job Performance (2014, background): “Although many more examples of changing signs of relationships across levels exist (e.g., Beckmann, Wood, & Minbashian, 2010; Marceau et al., in press; Nezlek, 2011), one is particularly noteworthy because it is directly relevant to the performance literature and has generated a flurry of debate.”
What Predicts Positive Life Events that Influence the Course of Depression? A Longitudinal Examination of Gratitude and Meaning in Life (2017, methodology): “Due to the nested nature of the data, timepoints nested within persons, we used multi-level models, which adjust the standard errors for dependencies (Nezlek 2011).”