ISSN:
1536-867X
,
1536-867X
Language:
English
Pages:
1 Online-Ressource (37 Seiten)
Publ. der Quelle:
Thousand Oaks, CA : Sage Publishing
Angaben zur Quelle:
24,2, Seiten 213-249
DDC:
300
Keywords:
st0745
;
twostep
;
hierarchical model
;
mixed model
;
multilevel analysis
;
two-step modeling
;
two-stage regression
;
estimated dependent variable regression
;
EDV
;
exploratory data analysis
;
EDA
;
cross-level interaction
;
Sozialwissenschaften
;
Informatik
Abstract:
In this article, we describe the package twostep, a bundle of programs to perform analyses of hierarchical data applying the two-step approach. We consider a two-level data setup in which “microlevel” units are nested within “macrolevel” units. One-step models (which can be fit using, for example, mixed) are the most common approach to modeling two-level data. The two-step approach is an alternative in which parameters associated with microlevel and macrolevel predictors are estimated separately for each level. It can be used as an alternative to one-step models if the estimand is a cross-level interaction. We also show how the two-step approach usefully complements one-step approaches by providing exploratory data analysis, descriptive graphs, and regression diagnostics.
Abstract:
Peer Reviewed
Note:
This publication is with permission of the rights owner (Sage) freely accessible.
DOI:
10.1177/1536867X241257801
URN:
urn:nbn:de:kobv:11-110-18452/29814-9
URL:
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