Hierarchical Linear Models

By Robert E. Ployhart. 2014

1,206 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/7877da2e2e581504911b6a68801bdc265b2626d9

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In Nature and Landscape Conservation

Citations in the corpus

Workplace duties or opportunities? Challenge stressors, regulatory focus, and creativity (2013, methodology): “Analytical approach: individual level In order to account for the lack of independence in our sample (Kozlowski & Klein, 2000), we used hierarchical linear modelling to test the lower level relationships (Hofmann, 1997), employing HLM 6.0 (Raudenbush & Bryk, 2002).”
How Methodological Features Affect Effect Sizes in Education (2016, methodology): “That is, if assignment and treatment were at the school level, analysis must be at the school level, usually using hierarchical linear modeling (HLM; Raudenbush & Bryk, 2002) or comparable methods.”
A general and simple method for obtaining R2 from generalized linear mixed‐effects models (2013, background): “…models is based on the reduction of each variance component when including fixed-effect predictors separately; in other words, separate R2 for each random effect and the residual variance (Raudenbush & Bryk 1986; Bryk & Raudenbush 1992; we detail this measurement in the section ‘Related issues’).”
Effects of Psychological Capital on Mental Health and Substance Abuse (2015, methodology): “ICC(1)s were computed using equations provided by Raudenbush and Bryk (2002) for continuous variables (the mediator used in the current study was continuous) and Ridout, Demetrio, and Firth (1999) for Krasikova et al. 285 dichotomous variables (both outcome variables used in the current study were…”
Teacher Stress and Students’ School Well-being: the Case of Upper Secondary Schools in Stockholm (2020, background): “We also report the effect size in terms of coefficient of determination (R2) (Bryk & Raudenbush, 1992).”
Taking it to the classroom: Number board games as a small group learning activity (2012, methodology): “Fully unconditional twolevel models were tested with the child specified at Level 1 and the small groups specified at Level 2 (Raudenbush & Bryk, 2002).”
A Multilevel Model of Employee Innovation (2016, background): “The ICC(1) value is interpreted as the proportion of variance explained by group membership; an ICC(2) value greater than or equal to .70 represents that the group means are reliably different (Bliese, 2000; Bryk & Raudenbush, 1992).”
Turning their Pain to Gain: Charismatic Leader Influence on Follower Stress Appraisal and Job Performance (2016, methodology): “We used SPSS 17.0 for analyzing descriptive statistics and HLM 6.06 (hierarchical linear modeling; Raudenbush & Bryk, 2002) for multilevel models.”
Pedagogical Content Knowledge for Preschool Mathematics: Construct Validity of a New Teacher Interview (2012, background): “…= γ00 + u0 When combined, these two levels yield a single model: CTML = γ00 + u0 + r Preliminary analysis of the fully unconditional models (see Raudenbush & Bryk, 2002, p. 24) for math-related language during circle time (as above) and outside of circle time indicates that each differs…”
Is Coming Out Always a “Good Thing”? Exploring the Relations of Autonomy Support, Outness, and Wellness for Lesbian, Gay, and Bisexual Individuals (2012, methodology): “Level 1 variables were centered on individual rather than sample means as recommended by Bryk and Raudenbush (1992).”
Customer negative events and employee service sabotage: The roles of employee hostility, personality and group affective tone (2013, methodology): “Because our theoretical model was multilevel in nature and the hairstylist data were nested within different units and salon managers, we conducted hierarchical linear modelling analyses to examine our hypotheses (Bryk & Raudenbush, 1992).”
A Multilevel Examination of Racial Disparities in High School Discipline: Black and White Adolescents’ Perceived Equity, School Belonging, and Adjustment Problems (2017, neutral): “Thereafter, a stepwise approach to model building was taken, such that the multilevel models were built one variable and one level at a time in order to be sensitive to the stability of findings with and without nonsignificant effects (Raudenbush & Bryk, 2002).”
An introduction to hierarchical linear modeling (2012, methodology): “The relationship between breakfast consumption and student GPA using HLM. Figure is adapted from an example by Snijders & Bosker (1999) and Stevens (2007). factors at their respective levels on an outcome of interest.”
Religion, Self-Rated Health, and Mortality (2015, methodology): “Using a cross-classified multilevel model (Raudenbush & Bryk, 2002), I computed the variance components of religiosity that can be attributed to both temporal and regional variation, which were found to be 0.03 and 0.16, respectively (the error variance reached 6.98).”
National culture and firm-level tax evasion☆ (2013, methodology): “Second, the analysis employs hierarchical linear modeling (HLM), which is a statistical technique appropriate for cross-level, cross-national data (Bryk and Raudenbush, 1992).”
The Dynamic Relationships of Work Affect and Job Satisfaction with Perceptions of Fit (2014, methodology): “For the within‐ person analyses, hierarchical linear modeling (HLM 6.0, Raudenbush & Bryk, 2002; i.e., multilevel random coefficient modeling) was used to model the effects of current momentary‐level responses on subsequent momentary‐level responses.”