Hierarchical Linear Models: Applications and Data Analysis Methods.

Longford, Nicholas T., Bryk, Anthony S., Raudenbush, Stephen W.·1993·Contemporary Sociology

DOI 10.2307/2075823

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Authors: Longford, N. T., Bryk, A. S., & Raudenbush, S. W.
Venue: Contemporary Sociology
Publisher: SAGE Publications
Published: 1993-03
Volume: 22
Issue: 2
Pages: 293
ISSN: 0094-3061 (ISSN-L)
DOI: 10.2307/2075823
OpenAlex: W2324392187
Cited by: 18,724
References: 0
FWCI: 97.24
Type: journal article
Language: en
Open access: closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.

Hierarchical Linear Models: Applications and Data Analysis Methods.

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cited by

Metadata

Record

About these checks

Data sources