Hierarchical Linear Models: Applications and Data Analysis Methods.Anthony S. Bryk , Stephen W. Raudenbush

1994 ◽  
Vol 99 (5) ◽  
pp. 1405-1407
Author(s):  
Henriette Engelhardt
Keyword(s):  
Data Analysis ◽  
Linear Models ◽  
Hierarchical Linear Models

Hierarchical Linear Models: Applications and Data Analysis Methods.

1993 ◽  
Vol 88 (421) ◽  
pp. 386 ◽  
Author(s):  
Harvey Goldstein ◽  
Anthony S. Bryk ◽  
Stephen W. Raudenbush
Keyword(s):  
Data Analysis ◽  
Linear Models ◽  
Hierarchical Linear Models ◽  
Analysis Methods ◽  
Data Analysis Methods

Hierarchical Linear Models: Applications and Data Analysis Methods

Technometrics ◽  
1994 ◽  
Vol 36 (1) ◽  
pp. 116-117 ◽  
Author(s):  
James A. Calvin
Keyword(s):  
Data Analysis ◽  
Linear Models ◽  
Hierarchical Linear Models ◽  
Analysis Methods ◽  
Data Analysis Methods

Hierarchical linear models: Applications and data analysis methods

1997 ◽  
Vol 16 (3) ◽  
pp. 348
Author(s):  
Russell W. Rumberger
Keyword(s):  
Data Analysis ◽  
Linear Models ◽  
Hierarchical Linear Models ◽  
Analysis Methods ◽  
Data Analysis Methods

Hierarchical Linear Models: Applications and Data Analysis Methods.

1993 ◽  
Vol 22 (2) ◽  
pp. 293 ◽  
Author(s):  
Nicholas T. Longford ◽  
Anthony S. Bryk ◽  
Stephen W. Raudenbush
Keyword(s):  
Data Analysis ◽  
Linear Models ◽  
Hierarchical Linear Models ◽  
Analysis Methods ◽  
Data Analysis Methods

Effects of Momentary Affect on Satisfaction Judgments

2020 ◽  
Vol 41 (2) ◽  
pp. 61-67
Author(s):  
Marko Tončić ◽  
Petra Anić
Keyword(s):  
Linear Models ◽  
Time Frame ◽  
Hierarchical Linear Models ◽  
Curvilinear Relationship ◽  
Positive And Negative Affect ◽  
Transient Events ◽  
Time Frames ◽  
Events Data ◽  
Level Satisfaction ◽  
Source Of Information

Abstract. This study aims to examine the effect of affect on satisfaction, both at the between- and the within-person level for momentary assessments. Affect is regarded as an important source of information for life satisfaction judgments. This affective effect on satisfaction is well established at the dispositional level, while at the within-person level it is heavily under-researched. This is true especially for momentary assessments. In this experience sampling study both mood and satisfaction scales were administered five times a day for 7 days via hand-held devices ( N = 74 with 2,122 assessments). Several hierarchical linear models were fitted to the data. Even though the amount of between-person variance was relatively low, both positive and negative affect had substantial effects on momentary satisfaction on the between- and the within-person level as well. The within-person effects of affect on satisfaction appear to be more pronounced than the between-person ones. At the momentary level, the amount of between-person variance is lower than in studies with longer time-frames. The affect-related effects on satisfaction possibly have a curvilinear relationship with the time-frame used, increasing in intensity up to a point and then decreasing again. Such a relationship suggests that, at the momentary level, satisfaction might behave in a more stochastic manner, allowing for transient events/data which are not necessarily affect-related to affect it.

Introduction to Hierarchical Linear Models

1994 ◽  
Vol 39 (5) ◽  
pp. 475-476
Author(s):  
Paula L. Woehlke
Keyword(s):  
Linear Models ◽  
Hierarchical Linear Models

scholarly journals Wider-community Segregation and the Effect of Neighbourhood Ethnic Diversity on Social Capital: An Investigation into Intra-Neighbourhood Trust in Great Britain and London

Sociology ◽  
2016 ◽  
Vol 51 (5) ◽  
pp. 1011-1033 ◽  
Author(s):  
James Laurence
Keyword(s):  
Social Capital ◽  
Great Britain ◽  
Ethnic Diversity ◽  
Linear Models ◽  
Critical Role ◽  
Hierarchical Linear Models ◽  
Negatively Associated ◽  
Community Segregation ◽  
Do So

Extensive research has demonstrated that neighbourhood ethnic diversity is negatively associated with intra-neighbourhood social capital. This study explores the role of segregation and integration in this relationship. To do so it applies three-level hierarchical linear models to two sets of data from across Great Britain and within London, and examines how segregation across the wider-community in which a neighbourhood is nested impacts trust amongst neighbours. This study replicates the increasingly ubiquitous finding that neighbourhood diversity is negatively associated with neighbour-trust. However, we demonstrate that this relationship is highly dependent on the level of segregation across the wider-community in which a neighbourhood is nested. Increasing neighbourhood diversity only negatively impacts neighbour-trust when nested in more segregated wider-communities. Individuals living in diverse neighbourhoods nested within integrated wider-communities experience no trust-penalty. These findings show that segregation plays a critical role in the neighbourhood diversity/trust relationship, and that its absence from the literature biases our understanding of how ethnic diversity affects social cohesion.

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