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Journal articles on the topic 'Quantitative research design'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Bloomfield, Jacqueline, and Murray Fisher. "Quantitative research design." Journal of the Australasian Rehabilitation Nurses' Association 22, no. 2 (2019): 27–30. http://dx.doi.org/10.33235/jarna.22.2.27-30.

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2

Magnan, Sally Sieloff, and John W. Creswell. "Research Design: Qualitative and Quantitative Approaches." Modern Language Journal 81, no. 2 (1997): 256. http://dx.doi.org/10.2307/328794.

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3

Wilson, R. Dale, and John W. Creswell. "Research Design: Qualitative and Quantitative Approaches." Journal of Marketing Research 33, no. 2 (1996): 252. http://dx.doi.org/10.2307/3152153.

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4

Riungu, Festus Kinyua. "Quantitative Research Designs, a Review of Extant Literature." Journal of Technology & Socio-Economic Development 11, no. 1 (2023): 192–203. https://doi.org/10.5281/zenodo.8331844.

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Most students find it difficult to identify appropriate research design as they undertake their research. The objective of this study was to review extant literature by defining quantitative and qualitative research designs and then focusing on quantitative research starting with general definitions of quantitative research design, delineating the generic quantitative designs including survey, experimental and ex post facto designs. It furthers looks at the subgroups in detailing their definitions and characteristics. The Methodology adopted by the paper is extant literature review which permi

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Nwabuko, Ogbonna. "An Overview of Research Study Designs in Quantitative Research Methodology." American Journal of Medical and Clinical Research & Reviews 03, no. 05 (2024): 01–06. http://dx.doi.org/10.58372/2835-6276.1169.

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The paucity of knowledge of research study design poses challenges to the approach to current research methodologies. This study aims to highlight the various types of research study designs and their suitability for quantitative research studies. This was an exploratory essay on research designs in quantitative research methodology. The study was conducted by the literature review of similar articles on research study designs using Google Scholar, African Journal Online (AJOL), PubMed, MEDLINE and CINAHL as databases. A pair of medical subject headings (Research Design and Quantitative Resear

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Ms., Elizabeth Rani, Geetha Jithin Mrs., Jelish Sharma Phurailatpam Ms., K. Radhika Prof., and I. Clement Dr. "Mixed Research Design." Journal of Nursing Science Practice, Research and Advancements 1, no. 2 (2019): 1–6. https://doi.org/10.5281/zenodo.2564504.

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Mixed methods research is systematic, theoretical, analysis of the method for conducting research that includes  collecting data, analysis, interpretation  of data  and also integrating qualitative and quantitative data grounded by a certain  principles. This approach to research is used when this integration provides a better understanding of the research problem than either of each alone the field of mixed methods has only explored a research problem. Mixed methods research is a concept that was originated in social sciences but have recently expanded into the health and

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7

Kanis, H., and W. S. Green. "Research for Usage Oriented Design: Quantitative? Qualitative?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 38 (2000): 925–28. http://dx.doi.org/10.1177/154193120004403867.

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Theory of user-product interaction is summarised and implemented in a graphical representation. This graphical representation stresses the central role of user activities (perception, cognition/experience and use actions including any effort) in dealing with featural and functional product characteristics. The interaction is primarily seen as situated, and constrained by, rather than being predictable from, human characteristics and capacities; no role is given in the graphical representation to mental representations. For observational research to be supportive of usage oriented design, there

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8

Stead, Graham B. "Review: Research Design: Qualitative and Quantitative Approaches." South African Journal of Psychology 27, no. 2 (1997): 124–25. http://dx.doi.org/10.1177/008124639702700211.

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9

Liang, Disi. "Quantitative Research Vortex?" Frontiers in Humanities and Social Sciences 3, no. 7 (2023): 109–17. http://dx.doi.org/10.54691/fhss.v3i7.5307.

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This research used a systematic review method to sort out the research frontiers of scientific creativity in the past five years, and describes the frontier research overview of scientific creativity from the publication trend, research design, research results, trends and challenges. The results show that the research of scientific creativity has entered the vortex of quantitative analysis, and the quantity of qualitative research and mixed research is insufficient. Currently, researchers have mainly discussed scientific creativity in the context of science learning, with many studies focusin

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10

Gamage, Amila N. K. K. "Research Design, Philosophy, and Quantitative Approaches in Scientific Research Methodology." Scholars Journal of Engineering and Technology 13, no. 02 (2025): 91–103. https://doi.org/10.36347/sjet.2025.v13i02.004.

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This paper provides a comprehensive review of existing literature on research design, philosophy, and quantitative approaches in scientific research methodology. It explores the theoretical foundations that influence researchers’ choices when developing a research strategy, with particular emphasis on the alignment between research philosophy and methodological choices. By examining key philosophical paradigms such as positivism, interpretivism, and pragmatism, the paper highlights how these frameworks shape the selection of quantitative, qualitative, and mixed-methods research approaches. The

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11

Lorenzetti, Diane Louise. "Identifying Appropriate Quantitative Study Designs for Library Research." Evidence Based Library and Information Practice 2, no. 1 (2007): 3. http://dx.doi.org/10.18438/b8v30j.

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This paper is concerned with the identification of quantitative study designs suitable for library research. Identifying a researchable question and selecting a research method best suited to it are key to the successful design and execution of any research project. Each research situation is unique, and each researcher must find the method that best suits both their situation and the question at hand. Following a brief discussion of issues related to question development, the author outlines a checklist that may assist the process of selecting study designs for quantitative research projects.

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12

Caporaso, James A. "Research Design, Falsification, and the Qualitative–Quantitative Divide." American Political Science Review 89, no. 2 (1995): 457–60. http://dx.doi.org/10.2307/2082441.

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13

Caldas, Miguel Pinto. "Research design: qualitative, quantitative, and mixed methods approaches." Revista de Administração Contemporânea 7, no. 1 (2003): 223. http://dx.doi.org/10.1590/s1415-65552003000100015.

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14

Yan Keding, 闫克丁, 薛亮 Xue Liang, 黄华川 Huang Huachuan, and 王绶玙 Wang Shouyu. "Research and Design of Quantitative Interferometric Microscopic Cytometer." Laser & Optoelectronics Progress 55, no. 12 (2018): 120901. http://dx.doi.org/10.3788/lop55.120901.

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15

Wilson, R. Dale. "Book Review: Research Design: Qualitative and Quantitative Approaches." Journal of Marketing Research 33, no. 2 (1996): 252–55. http://dx.doi.org/10.1177/002224379603300213.

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16

Balling, Laura Winther, and Kristian Tangsgaard Hvelplund. "Design and Statistics in Quantitative Translation (Process) Research." Translation as a cognitive activity 4, no. 1 (2015): 170–87. http://dx.doi.org/10.1075/ts.4.1.08bal.

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17

Corner, Patricia Doyle. "An Integrative Model for Teaching Quantitative Research Design." Journal of Management Education 26, no. 6 (2002): 671–92. http://dx.doi.org/10.1177/1052562902238324.

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18

Perreault, Kadija. "Research Design: Qualitative, Quantitative, and Mixed Methods Approaches." Manual Therapy 16, no. 1 (2011): 103. http://dx.doi.org/10.1016/j.math.2010.09.003.

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19

Mulili, Benjamin Mwanzia, Samuel Mwangi Maina, and Reuben Njuguna Kinyuru. "Mixed Methods Research Design Explained." International Journal of Modern Statistics 5, no. 1 (2025): 1–13. https://doi.org/10.47941/ijms.2694.

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Purpose: This paper examined how research paradigms determine, among many other things, the types of data collected and the methods used to collect and analyze the data. The key differences and similarities between qualitative and quantitative approaches were identified, before explaining why and how mixed methods research is conducted. Methodology: The paper reviewed extant literature touching on qualitative, quantitative, and mixed methods research designs. Findings: The paper highlighted the conditions that favor the use of the mixed methods research design. In addition, the advantages asso

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20

Brown, M. S., S. K. Shah, R. C. Pais, et al. "Database Design and Implementation for Quantitative Image Analysis Research." IEEE Transactions on Information Technology in Biomedicine 9, no. 1 (2005): 99–108. http://dx.doi.org/10.1109/titb.2004.837854.

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21

Parkes, Kelly A. "Design and analysis for quantitative research in music education." Music Education Research 21, no. 2 (2019): 214–16. http://dx.doi.org/10.1080/14613808.2019.1582747.

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22

Skews, Rachael. "How to design and conduct quantitative coaching intervention research." Coaching Psychologist 16, no. 1 (2020): 41–51. http://dx.doi.org/10.53841/bpstcp.2020.16.1.41.

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For the coaching research agenda to support evidence-based practitioners, coaching research needs to provide the best possible external research evidence to support practitioners in answering particular questions of interest. Quantitative coaching research has an important role to play in supporting evidence-based practitioners to answer questions around the efficacy and generalisability of coaching interventions. This paper outlines three key criteria for designing and conducting rigorous quantitative coaching intervention studies: (i) methodological rigour in the study design; (ii) rigour in

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23

Abramson, Erika L., Caroline R. Paul, Jean Petershack, et al. "Conducting Quantitative Medical Education Research: From Design to Dissemination." Academic Pediatrics 18, no. 2 (2018): 129–39. http://dx.doi.org/10.1016/j.acap.2017.10.008.

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24

Jesima, Begum A.* Samuel D. Santhiya S. Santhiyarubi N. Saratha K. Senthamarai R. "Clinical Research Design and Its Types." International Journal of Pharmaceutical Sciences 2, no. 12 (2024): 709–22. https://doi.org/10.5281/zenodo.14294932.

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Clinical research is a branch of healthcare science that assesses the safety and efficacy of treatments, drugs, and medical devices aimed at improving human health. The primary goals include enhancing our understanding of human biology, proving the efficacy of treatments, and determining the relationship between genetics and diseases. Clinical trials, a subset of clinical research, progress through phases: Phase 0 to explore initial drug kinetics, Phase I for safety, Phase II for efficacy and side effects, Phase III to compare with existing treatments, and Phase IV for post-market surveillance

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25

Roberts, J., and A. Dicenso. "Identifying the best research design to fit the question. Part 1: quantitative designs." Evidence-Based Nursing 2, no. 1 (1999): 4–6. http://dx.doi.org/10.1136/ebn.2.1.4.

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26

Sharma, Lok Raj, Sonelal Jha, Rabin Koirala, Umesh Aryal, and Teknath Bhattarai. "Navigating the Research Landscape: A Guide to the Selection of the Right Research Design." International Research Journal of MMC 4, no. 1 (2023): 64–78. http://dx.doi.org/10.3126/irjmmc.v4i1.51863.

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Research design, which is a plan or framework for conducting an investigatory study, engrosses the ways for collecting and analyzing data. It is circumspectly planned in advance as it influences the quality and validity of the research outcomes. There are broadly three sorts of research designs, namely quantitative, qualitative and mixed methods research designs. Quantitative research designs involve the collection and analysis of numerical data, qualitative research designs include the collection and analysis of non-numerical data, such as words, images, and observations, and mixed methods re

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27

Smeyers, Paul. "Qualitative Versus Quantitative Research Design: A Plea for Paradigmatic Tolerance in Educational Research." Journal of the Philosophy of Education 35, no. 3 (2001): 477–95. http://dx.doi.org/10.1111/1467-9752.00239.

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28

Ortiz, DanielGreene,. "Research Design: Qualitative, Quantitative, and Mixed Methods Approaches [Book Review]." Qualitative Research Journal 6, no. 2 (2007): [205]—207. http://dx.doi.org/10.3316/qrj0602205.

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29

PEIPERT, J., D. GIFFORD, and L. BOARDMAN. "Research Design and Methods of Quantitative Synthesis of Medical Evidence." Obstetrics & Gynecology 90, no. 3 (1997): 473–78. http://dx.doi.org/10.1016/s0029-7844(97)00305-0.

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30

Gretzel, Ulrike, Yeong‐Hyeon Hwang, and Daniel R. Fesenmaier. "Informing destination recommender systems design and evaluation through quantitative research." International Journal of Culture, Tourism and Hospitality Research 6, no. 4 (2012): 297–315. http://dx.doi.org/10.1108/17506181211265040.

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31

Schreurs, Bert, Angus Duff, Pascale M. Le Blanc, and Thomas H. Stone. "Publishing quantitative careers research: challenges and recommendations." Career Development International 27, no. 1 (2021): 79–98. http://dx.doi.org/10.1108/cdi-08-2021-0217.

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Purpose This article aims to provide prospective authors guidelines that will hopefully enable them to submit more competitive manuscripts to journals publishing careers research.Design/methodology/approach Based on their experience as an author, reviewer and editorial team member, the authors identify the main criteria that a quantitative study must meet to be considered for publication in international peer-reviewed journals covering career-related topics. They emphasize the importance of contributing to the careers literature and of designing the study in accordance with the research questi

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32

Fuller, J. Bryan, Coleman E. P. Patterson, Kim Hester, and Donna Y. Stringer. "A Quantitative Review of Research on Charismatic Leadership." Psychological Reports 78, no. 1 (1996): 271–87. http://dx.doi.org/10.2466/pr0.1996.78.1.271.

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This study used meta-analysis to explore the relationship between charismatic leadership and satisfaction with the leader, perceived leader's effectiveness, and performance. To maintain construct consistency Bass' 1985 conceptualization of charisma was used. Results indicate potential moderating effects for two moderators of research design (objective/subjective performance and percept-percept/multisource study design) and for two theoretically predicted moderators (organizational level of focal leader and organizational context). The results are discussed in relation to implicit leadership th

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33

Curtis, Alexa Colgrove, and Courtney Keeler. "Sample Size Planning in Quantitative Nursing Research." AJN, American Journal of Nursing 123, no. 11 (2023): 42–46. http://dx.doi.org/10.1097/01.naj.0000995360.84994.3b.

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Editor's note: This is the 18th article in a series on clinical research by nurses. The series is designed to be used as a resource for nurses to understand the concepts and principles essential to research. Each column will present the concepts that underpin evidence-based practice—from research design to data interpretation. To see all the articles in the series, go to https://links.lww.com/AJN/A204.

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34

O'Connor, Autumn Sadie, and Vicki Hutton. "Improving entrepreneurial research methodology: When research design fails." Journal of Student Research 6, no. 2 (2018): 61–65. http://dx.doi.org/10.47611/jsr.v6i2.409.

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The diverse endeavours undertaken by entrepreneurs have the potential to positively impact communities, and yet this population appears notoriously difficult to recruit for research. This paper reflects on declining research participation, particularly noted in top executives and the entrepreneurial community; and introduces a Master’s dissertation study which failed to recruit significant numbers of entrepreneurs for quantitative research purposes. While ‘failed’ research may lack allure, it does provide valuable learning insights for students undertaking new research projects. Quite apart fr

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35

Mweshi, Geoffrey Kapasa, and Mildred Muhyila. "Determining a Statistical Analysis for the Quantitative Study in Research." Advances in Social Sciences Research Journal 11, no. 7 (2024): 187–231. http://dx.doi.org/10.14738/assrj.117.17018.

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The manner in which research will be conducted follows from the research questions or hypotheses; the type of research must be in support of the project. Several types of research are conducted in studies, including experimental, quasi-experimental, and observational research. Researchers must weigh the advantages and drawbacks of each type of research to determine which design is best for their specific research questions or hypotheses. Alternately, researchers can employ several methods, known as triangulation, to provide a varied and complementary perspective. The use of several methods, me

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36

Li, Jia, Yong Qiu, Fa Yuan Wei, and Rur Song Jiang. "Research on Conceptual Design Selection Based on Engineering Science." Advanced Materials Research 1056 (October 2014): 186–89. http://dx.doi.org/10.4028/www.scientific.net/amr.1056.186.

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Engineering Science (ES) is bridge between basic science and engineering applications. It’s an important academic guidance for conceptual design selection of a large, complicated engineering project. Traditional plan selection depends largely on qualitative information and is subject to subjective factors. Using System Engineering (SE) methodology combined qualitative and quantitative information, this paper applies theory of ES to plan selection and decision making process Analysis on objectives, quantitative modeling and expert knowledge of complicated engineering project is conducted, in or

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37

Raines, Deborah A. "Research Paradigms and Methods." Neonatal Network 32, no. 6 (2013): 425–28. http://dx.doi.org/10.1891/0730-0832.32.6.425.

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A research paradigm or research tradition is a set of practices and beliefs. Whether one approaches the study of a phenomenon of concern to nursing using an inductive or deductive approach is determined by the research paradigm guiding the design of the study. This column introduces and describes characteristics of research designs in both a qualitative and a quantitative research paradigm.

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38

Alavi, Hamed, and Patrycja Hąbek. "Addressing Research Design Problem in Mixed Methods Research." Management Systems in Production Engineering 21, no. 1 (2016): 62–66. http://dx.doi.org/10.2478/mspe-10-01-2016.

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Abstract Alongside other disciplines in social sciences, management researchers use mixed methods research more and more in conduct of their scientific investigations. Mixed methods approach can also be used in the field of production engineering. In comparison with traditional quantitative and qualitative research methods, reasons behind increasing popularity of mixed research method in management science can be traced in different factors. First of all, any particular discipline in management can be theoretically related to it. Second is that concurrent approach of mixed research method to i

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39

Francisco, Vincent T., Frances D. Butterfoss, and Ellen M. Capwell. "Key Issues in Evaluation: Quantitative and Qualitative Methods and Research Design." Health Promotion Practice 2, no. 1 (2001): 20–23. http://dx.doi.org/10.1177/152483990100200105.

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40

MATAMARU, Junichi, Nobuo SAKAI, Yoshinori SAWAE, and Teruo MURAKAMI. "A103 Fundamental Research on Quantitative Wheelchair Design by Finite Element Method." Proceedings of the JSME Conference on Frontiers in Bioengineering 2006.17 (2006): 7–8. http://dx.doi.org/10.1299/jsmebiofro.2006.17.7.

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41

Center, Bruce A., Russell J. Skiba, and Ann Casey. "A Methodology for the Quantitative Synthesis of Intra-Subject Design Research." Journal of Special Education 19, no. 4 (1985): 387–400. http://dx.doi.org/10.1177/002246698501900404.

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42

O’Rourke, Hannah M., Wendy Duggleby, and Kimberly D. Fraser. "Embedding the perceptions of people with dementia into quantitative research design." Quality of Life Research 24, no. 5 (2015): 1145–55. http://dx.doi.org/10.1007/s11136-015-0967-x.

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43

Wójcik, Dariusz. "Financial geography III: Research strategies, designs, methods and data." Progress in Human Geography 46, no. 1 (2021): 245–54. http://dx.doi.org/10.1177/03091325211043208.

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I review research strategies, designs, methods and data in financial geography, by focussing on 449 articles published in 2001–2020. The analysis shows considerable methodological diversity and originality, contributing to geography and studies of finance. Over time, qualitative strategies, case study design and interviews as a method and data source are growing, while quantitative strategy, longitudinal design, regression methods and the use of government data are declining. The analysis helps identify gaps, opportunities and challenges, including the need for more methodological transparency

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44

McAweeney, Mary J., and Robert Heinrich. "Steps for Evaluating and Interpreting Quantitative Research." Journal of Applied Rehabilitation Counseling 27, no. 1 (1996): 57–61. http://dx.doi.org/10.1891/0047-2220.27.1.57.

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All rehabilitation professionals should attain basic competencies in evaluating the design, methodology, and statistical validity of published or proposed research studies. Evaluation of rehabilitation counseling research is becoming more important as health care reform demands that rehabilitation professionals demonstrate the efficacy of their practices. This article presents fifteen criteria for use in critically evaluating rehabilitation research, and is intended for use in the evaluation of published research and in planning future research studies. The elements of a research article are d

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45

Eifler, Tobias, and Benjamin Schleich. "A ROBUST DESIGN RESEARCH LANDSCAPE - REVIEW ON THE IMPORTANCE OF DESIGN RESEARCH FOR ACHIEVING PRODUCT ROBUSTNESS." Proceedings of the Design Society 1 (July 27, 2021): 211–20. http://dx.doi.org/10.1017/pds.2021.22.

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AbstractThe strive for design principles, qualitative and quantitative design tools, and product development methodologies that enable and support the design of robust products, that is products which are insensitive to noise and variation, is an ongoing challenge for both practitioners and academics. This paper reviews and classifies recent research efforts dedicated to robust design originating from the design society and carves out important challenges and potentials for future research. The main novelty of the paper can be found in the structured analysis and classification of recent robus

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46

Hesan, Reza, Rahman Sharifzadeh, and Amir Hossein Seddighi. "Research Methodology of Design Science as a Solution-Oriented Methodology." Methodology of Humanities 26, no. 105 (2019): 35–50. https://doi.org/10.5281/zenodo.14033295.

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The science of design has recently gained attention as a research methodology. This methodology has significant differences from conventional quantitative and qualitative methodologies and is considered a pragmatic, solution-oriented approach. However, as we will see, the research methodology of design science is not in opposition to quantitative and qualitative methodologies but rather encompasses them. The design science methodology goes beyond mere description and explanation, taking steps toward problem-solving. Therefore, the main objective of the research methodology of design science is

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47

Coker, David C. "Beyond Statistical Significance: Problems and Pitfalls of Quantitative Research." International Journal of Research 11, no. 7 (2024): 507–16. https://doi.org/10.5281/zenodo.13624397.

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<em>Null hypothetical statistical tests reign supreme in research in most all disciplines when statistical analysis is used. While popular, novice researchers struggle designing, reporting, and analyzing quantitative studies. Five common problems in research are p hacking, HARKing, common method bias, sample and instrument bias, and assumptions not reported. Robustness means statistical assumptions must be evaluated and decisions made, as most assumptions will differ from theoretical recommendations. Moving beyond the concept of statistical significance and the misuse of p values, researchers

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48

Alsawaier, Raed S. "Research trends in the study of gamification." International Journal of Information and Learning Technology 36, no. 5 (2019): 373–80. http://dx.doi.org/10.1108/ijilt-12-2017-0119.

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Purpose The purpose of this paper is to examine the research design of several publications on the study of gamification and proposes a mixed-method research design for creating a holistic understanding of the gamification phenomenon. It presents an argument in support of combining both qualitative and quantitative data sources through mixed-method design as being equally important in illuminating all aspects of the research problem. Design/methodology/approach The paper covers a number of methodological themes relevant to the study of gamification: research design trends in the study of gamif

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49

Zhou, Jing, Christopher Kueh, and Yi Lin. "Assessing the Applicability of Three Approaches to Design-Oriented Research." Journal of Contemporary Educational Research 5, no. 8 (2021): 36–40. http://dx.doi.org/10.26689/jcer.v5i8.2411.

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The three main approaches in inquisitive research design are qualitative, quantitative, and mixed methods [1]. However, recent developments in the research field have resulted in multiple other approaches, borrowing ideas from a broad range of fields. One such approach is the practice-led approach. This approach involves an efficient design process, novel qualitative interviewing methods, together with data mining procedures from quantitative data collection [2]. This paper assesses the practice-led approach used in user experience (UX) design, together with three approaches: co-design, servic

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50

Khaldi, Kamel. "Quantitative, Qualitative or Mixed Research: Which Research Paradigm to Use?" Journal of Educational and Social Research 7, no. 2 (2017): 15–24. http://dx.doi.org/10.5901/jesr.2017.v7n2p15.

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Abstract Research students usually encounter great difficulties in setting up a viable research project mainly because, on the one hand they lack familiarity with the philosophical underpinnings of major paradigms used in educational research: quantitative, qualitative or mixed, and on the other hand , they do not associate the corresponding research types with these paradigms : experimental, non experimental for the former, and interactive or non interactive for the second and the for the latter whether it is explanatory or exploratory, in addition to the importance of triangulation in any re

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