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Cited by 131Academic Writing and PublishingDiverse Academic Research AreasEducational Research and Methods

The DOI matches its Crossref record.

Guide to Writing Empirical Papers, Theses, and Dissertations

Garson, G. David·2001·CRC Press eBooks

Abstract

"Describes the quantitative research process--framing analytical questions, developing a comprehensive outline, providing a roadmap for the reader, and accessing indispensable computer and program tools. Supplies end-of-chapter checklists, extensive examples, and biobliographies."

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Crossref · 10.1201/9781482270990

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Metadata

Authors
Garson, G. D.
Corresponding author
Garson, G. David
Venue
CRC Press eBooks
Publisher
CRC Press
Published
2001-11-21
OpenAlex
W606948578
Cited by
131
References
0
Citations by year
2026: 4 · 2025: 9 · 2024: 4 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 6 · 2019: 1 · 2018: 1 · 2017: 1 · 2016: 4 · 2015: 10 · 2014: 4 · 2013: 11 · 2012: 7
FWCI
3.87
Type
book
Language
en
Open access
closed
Locations
CRC Press eBooks (publishedVersion)
Topics
  • Social Sciences › Library and Information Sciences › Academic Writing and Publishing
  • Social Sciences › Education › Diverse Academic Research Areas
  • Social Sciences › Education › Educational Research and Methods
Keywords
academic writing, dissertations, research question formulation, writing outlines, research software tools, writing checklists

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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.

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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.