The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Quantitative Research: A Successful Investigation in Natural and Social Sciences
Open accessAbstract
Research is the framework used for the planning, implementation, and analysis of a study. The proper choice of a suitable research methodology can provide an effective and successful original research. A researcher can reach his/her expected goal by following any kind of research methodology. Quantitative research methodology is preferred by many researchers. This article presents and analyzes the design of quantitative research. It also discusses the proper use and the components of quantitative research methodology. It is used to quantify attitudes, opinions, behaviors, and other defined variables and generalize results from a larger sample population by the way of generating numerical data. The purpose of this study is to provide some important fundamental concepts of quantitative research to the common readers for the development of their future projects, articles and/or theses. An attempt has been taken here to study the aspects of the quantitative research methodology in some detail.
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Cites
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BackgroundMethodMeta-analysis: Principles and procedures
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Cited by
Premier University, Mohajan, H. K., & Mohajan, D. (2023) · Journal of Economic Development, Environment and People · doi:10.26458/jedep.v12i1.794 · Cited by 39
Self-citationQazi, H., Alam, S., & Phulpoto, A. (2023) · Pakistan Journal of Humanities and Social Sciences · doi:10.52131/pjhss.2023.1103.0646 · Cited by 5
Metadata
- Authors
- Mohajan, H. K.
- Venue
- Journal of Economic Development, Environment and People
- Publisher
- Fundatia Romania de Maine
- Published
- 2020-12-31
- Volume
- 9
- Issue
- 4
- ISSN
- 2285-3642 (ISSN-L)
- OpenAlex
- W3118915248
- Cited by
- 469
- References
- 53
- FWCI
- 45.94
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
