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Guide to Writing Empirical Papers, Theses, and Dissertations
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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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.
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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.
