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Journal articles on the topic 'Quantitative research design'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Bloomfield, Jacqueline, and Murray Fisher. "Quantitative research design." Journal of the Australasian Rehabilitation Nurses' Association 22, no. 2 (September 7, 2019): 27–30. http://dx.doi.org/10.33235/jarna.22.2.27-30.

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2

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

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3

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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4

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 (July 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 are two requirements: a focus on user activities, and a direct link from these activities to featural and functional product characteristics. It is argued that qualitative studies constitute the obvious type of research to meet these criteria. Quantitative research may also be possible as is illustrated with an empirical example. It is experimentation, in the sense of hypothesis testing, involving control and standardisation in order to establish some causality, which tends to fall short in linking natural user activities to product characteristics.

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

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6

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

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7

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

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8

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

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9

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

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10

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

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Balling, Laura Winther, and Kristian Tangsgaard Hvelplund. "Design and Statistics in Quantitative Translation (Process) Research." Translation as a cognitive activity 4, no. 1 (October 12, 2015): 170–87. http://dx.doi.org/10.1075/ts.4.1.08bal.

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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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13

Lorenzetti, Diane Louise. "Identifying Appropriate Quantitative Study Designs for Library Research." Evidence Based Library and Information Practice 2, no. 1 (March 14, 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. When faced with options in terms of study design selection, pragmatic issues such as expertise, funding, time, and access to participants may influence this decision-making process.

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14

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

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Parkes, Kelly A. "Design and analysis for quantitative research in music education." Music Education Research 21, no. 2 (February 18, 2019): 214–16. http://dx.doi.org/10.1080/14613808.2019.1582747.

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Brown, M. S., S. K. Shah, R. C. Pais, Y. Z. Lee, M. F. McNitt-Gray, J. G. Goldin, A. F. Cardenas, and D. R. Aberle. "Database Design and Implementation for Quantitative Image Analysis Research." IEEE Transactions on Information Technology in Biomedicine 9, no. 1 (March 2005): 99–108. http://dx.doi.org/10.1109/titb.2004.837854.

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17

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

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18

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

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19

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

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21

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 (October 5, 2012): 297–315. http://dx.doi.org/10.1108/17506181211265040.

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22

O'Connor, Autumn Sadie, and Vicki Hutton. "Improving entrepreneurial research methodology: When research design fails." Journal of Student Research 6, no. 2 (May 11, 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 from not repeating past mistakes, outlining research challenges may assist students to develop more creative and robust projects. As such, this paper highlights two significant points regarding barriers to recruiting amongst entrepreneurs. First, we present evidence that entrepreneurs are often over-worked and time poor, and this impacts on their research participation; secondly, we highlight how entrepreneurs respond differently to research activities, and hereby, we offer some recommendations for improved research design.

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23

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 (February 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 theory and cognitive classification theory.

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Alavi, Hamed, and Patrycja Hąbek. "Addressing Research Design Problem in Mixed Methods Research." Management Systems in Production Engineering 21, no. 1 (March 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 inductive and deductive research logic provides researchers with opportunity to generate theory and test hypothesis in one study simultaneously. In addition, it provides a better justification for chosen method of investigation and higher validity for obtained answers to research questions. Despite increasing popularity of mixed research methods among management scholars, there is still need for a comprehensive approach to research design typology and process in mixed research method from the perspective of management science. The authors in this paper try to explain fundamental principles of mixed research method, its typology and different steps in its design process.

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25

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 order to support a more objective, science-based decision making during conceptual design phase.

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26

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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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 (January 2001): 20–23. http://dx.doi.org/10.1177/152483990100200105.

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28

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 (December 1985): 387–400. http://dx.doi.org/10.1177/002246698501900404.

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29

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 (March 26, 2015): 1145–55. http://dx.doi.org/10.1007/s11136-015-0967-x.

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30

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 robust design efforts as well as in the systematic elaboration of future research challenges, which seeks to stimulate a discussion on future tasks and challenges in robust design research.

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31

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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32

McAweeney, Mary J., and Robert Heinrich. "Steps for Evaluating and Interpreting Quantitative Research." Journal of Applied Rehabilitation Counseling 27, no. 1 (March 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 discussed in detail, with examples provided. Several recommendations are made to improve the clinical usefulness of quantitative research conducted in rehabilitation counseling.

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Neupane, Nabaraj. "Paradigm Shift in Research: Emergence of Mixed Methods Research Design." Journal of NELTA Gandaki 1 (June 14, 2019): 74–86. http://dx.doi.org/10.3126/jong.v1i0.24462.

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Between the lines of quantitative and qualitative inquiries, mixed methods research, which has taken a considerable space in academia, has emerged as a promising design as a mark of paradigm shift from pure method to the hybrid one. In this context, this article aims to explore the phenomenon of the mixed methods research design in terms of reasons for use, historical developments, types, and assessments. To achieve this goal, document analysis method has been used. Only the secondary sources like books, journals and archives have been used for documenting information and making meaning from them. The conclusion is that mixed methods research design has been a current practice for many reasons in academia. This implies that the new paradigm should profusely be used in the field of research at universities and research centers.

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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 (August 30, 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, service design, and reflective practice.

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Khaldi, Kamel. "Quantitative, Qualitative or Mixed Research: Which Research Paradigm to Use?" Journal of Educational and Social Research 7, no. 2 (May 24, 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 research study . These paradigms determine not only the formulation of the problem chosen for research and the associated research questions or hypothesis but also and more importantly, the sampling procedure as well as the selection of the appropriate research tools and the way the collected data is analysed and discussed. This survey of the major paradigms in educational research and their implications for the design of any research study will hopefully provide them with the necessary guidance to approach their research project with more confidence et more efficiency.

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36

Bennett, Kyle D. "The Utility of Single Subject Design Research." International Journal of Adult Vocational Education and Technology 7, no. 2 (April 2016): 20–31. http://dx.doi.org/10.4018/ijavet.2016040102.

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Single subject design (SSD) research is a quantitative approach used to investigate basic and applied research questions. It has been used for decades to examine issues of social importance such as those related to general and special education strategies, therapeutic approaches in mental health, community health practices, safety, and business practices, to name a few. The purpose of this paper is to introduce the reader to the structure and function of SSD research, concepts of internal and external validity related to this methodology, and data analytic tactics used to evaluate SSD research. Additionally, several designs are described along with examples from the applied literature to illustrate the approach.

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Alsawaier, Raed S. "Research trends in the study of gamification." International Journal of Information and Learning Technology 36, no. 5 (November 4, 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 gamification; the importance of mixed-method design in the study of gamification; methodological challenges; conclusion and recommendations. Findings Majority of the studies on gamification before 2015 are either quantitative or described as mixed method but overly focused on quantitative data sources. However, there is a tendency between 2015 and 2017 to adopt mixed-method design. Research limitations/implications The study does not examine all research done on the topic of gamification but relies on 56 empirical studies reviewed by Hamari, Koivisto, Sarsa (2014) and Seaborn and Fels (2015) between 2009 and 2015. Originality/value The author believes it to be one of the few studies of its kind on proposing a methodological design for the study of gamification as a pedagogical tool.

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38

BAGLIN, JAMES, JOHN REECE, and JENALLE BAKER. "VIRTUALISING THE QUANTITATIVE RESEARCH METHODS COURSE: AN ISLAND-BASED APPROACH." STATISTICS EDUCATION RESEARCH JOURNAL 14, no. 2 (November 30, 2015): 28–52. http://dx.doi.org/10.52041/serj.v14i2.260.

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Many recent improvements in pedagogical practice have been enabled by the rapid development of innovative technologies, particularly for teaching quantitative research methods and statistics. This study describes the design, implementation, and evaluation of a series of specialised computer laboratory sessions. The sessions combined the use of an online virtual world, cloud collaboration technology, and a statistical package inorder to simulate the entire data investigative cycle. The sessions covered multiple topics, research designs, and data analysis techniques relevant to psychology. Quantitative and qualitative feedback data regarding students’ perceptions of the sessions were analysed. The results demonstrate promising support for the use of Island-based sessions, but improvements and further research will be required. First published November 2015 at Statistics Education Research Journal Archives

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Browne, Kath. "Selling My Queer Soul or Queerying Quantitative Research?" Sociological Research Online 13, no. 1 (January 2008): 200–214. http://dx.doi.org/10.5153/sro.1635.

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Sexualities research is increasingly gaining prominence within, and outside, of academia. This paper will use queer understandings to explore the contingent (re)formation of quantitative data, particularly those that seek to gain insights into Lesbian, Gay, Bisexual and Trans populations and lifestyles. I use queer critiques to explore the creation and normalising impulses of quantitative sexualities research and argue that research that addresses ‘deviant’/other/(homo)sexualities brings categories (mainly lesbian and gay) into being. Using three key research events from a large scale quantitative research study of 7,212 respondents, ‘Do it with Pride’, the paper examines the (re)formation of quantitative research between researchers, respondents and the questionnaire. In particular the paper: reveals the contingency of research design by discussing the exclusion of the term ‘queer’ from the research design, and then questions categories of sexualities as fixed variables by examining; the piloting of a non-normative gender question, and the re-coding of sexuality categories in the analysis phase. This points to the (re)creation of research categories that are not simply instruments of measurements but are actively engaged in the (re)construction of sexualities (including but not limited to sexualities research) within normative frames. The paper finishes by taking this queer critique in a different direction juxtaposing the apparently stable products of quantitative research (questionnaires and reports) with an examination of the transgressive potentials of queer moments in (re)making such research.

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Liang, Ling, Ke Liang Zhou, Jian Wei Liang, and Wen Xing Zhu. "Research and Design of Quantitative Casting Control System for Lead Anode Plate." Advanced Materials Research 546-547 (July 2012): 981–86. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.981.

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In this paper, taking the quantitative casting system for lead anode plate as the object of study, develop a control system based on the fieldbus and fuzzy control. Introduce the process and control principle of the lead anode plate casting, and establish the quantitative pouring control system from two aspects as the designs of hardware and software equipment.The system adopts the PROFIBUS-DP fieldbus technology and uses SIMATIC PLC as the master station to structure the casting control system. It describes the realization and simulation of the fuzzy self-tuning PID control algorithm in quantitative casting system.The simulation results show: Fuzzy - PI control scheme has a better control effectiveness than the traditional PID control system,for a smaller control response curve overshoot and error, a shorter response time and restraining the outside interference to the system and the instability of casting flow.

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Kanis, H., M. F. Weegels, and L. P. A. Steenbekkers. "The Uninformativeness of Quantitative Research for Usability Focused Design of Consumer Products." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 43, no. 6 (September 1999): 481–85. http://dx.doi.org/10.1177/154193129904300603.

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Ding, Yuanyuan. "Application Research of Quantitative Deductive Kansei Engineering in APP Interface Optimization Design." IOP Conference Series: Materials Science and Engineering 733 (January 21, 2020): 012003. http://dx.doi.org/10.1088/1757-899x/733/1/012003.

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Štěrba, Zbyněk, Čeněk Šašinka, Zdeněk Stachoň, Petr Kubíček, and Sascha Tamm. "Mixed Research Design in Cartography: A Combination of Qualitative and Quantitative Approaches." KN - Journal of Cartography and Geographic Information 64, no. 5 (September 2014): 262–69. http://dx.doi.org/10.1007/bf03544186.

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44

Duckett, Laura J. "Quantitative Research Excellence: Study Design and Reliable and Valid Measurement of Variables." Journal of Human Lactation 37, no. 3 (June 9, 2021): 456–63. http://dx.doi.org/10.1177/08903344211019285.

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45

Yan, Liang Wen, Teng Fei Li, Li Na Zhao, Wen Li, Wei Du, and Jie Guo. "Research and Development of Continuous Quantitative Dispensing System." Advanced Materials Research 365 (October 2011): 125–29. http://dx.doi.org/10.4028/www.scientific.net/amr.365.125.

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The continuous quantitative dispensing system gets the trajectory coordinates by CCD image recognition, then the dispensing head is automatically positioned by motion control platform. Pressure controller is selected to automatically control the pressure of compressed air in order to ensure gas pressure is steady. Peristaltic pump is used to guarantee the precision of the automatic program-controlled colloid transmitting. Colloid volume, dispensing head position and dispensing accuracy can be effectively guaranteed. The experimental results show that the whole system fully meets the double fluid dispensing design requirements, and program interface is friendly and easy to operate. It can apply for product promotion and widely application.

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46

Henson, Robin K., Darrell M. Hull, and Cynthia S. Williams. "Methodology in Our Education Research Culture." Educational Researcher 39, no. 3 (April 2010): 229–40. http://dx.doi.org/10.3102/0013189x10365102.

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How doctoral programs train future researchers in quantitative methods has important implications for the quality of scientifically based research in education. The purpose of this article, therefore, is to examine how quantitative methods are used in the literature and taught in doctoral programs. Evidence points to deficiencies in quantitative training and application in several areas: (a) methodological reporting problems, (b) researcher misconceptions and inaccuracies, (c) overreliance on traditional methods, and (d) a lack of coverage of modern advances. An argument is made that a culture supportive of quantitative methods is not consistently available to many applied education researchers. Collective quantitative proficiency is defined as a vision for a culture representative of broader support for quantitative methodology (statistics, measurement, and research design).

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Mweshi, Geoffrey Kapasa, and Kwesi Sakyi. "Application of sampling methods for the research design." Archives of Business Research 8, no. 11 (November 27, 2020): 180–93. http://dx.doi.org/10.14738/abr.811.9042.

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The objective of this paper is to discuss the application of the sampling framework in a research with a view to understanding what it is, and examining the application of the concept to the analysis of sampling as one procedure that makes research manageable. When investigators choose a sample they select a relatively small but representative number of cases from the population of interest or universe of discourse for enumeration or observation. A sample chosen in an unbiased or scientific way is likely to yield results which are closer to the population parameters. The discussion in this paper will address the issues and decisions which are considered before determining the sampling framework in a research so that there is a clear identification of the phenomenon being researched on to create room for rigorous analysis. The discussion went further by comparing and contrasting the qualitative research approaches. The paper further explored some philosophical underpinnings of research in order to understand and appreciate some of the individual organizational problems. The paper relied mainly on secondary research by drawing insights from publications and books that had contributed to the revelations about the nature and issues that may be an important in both qualitative and quantitative research. The literature review was therefore mainly focused on the nature of analysis of quantitative and qualitative data collected through empirical study through cross sectional and time series data using various data collection instruments. The paper also examined in detail data presentation methods and their implications for analysis.

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Sanders, Khahlia. "Media Review: Research Design: Quantitative, Qualitative, Mixed Methods, Arts-Based, and Community-Based Participatory Research Approaches." Journal of Mixed Methods Research 13, no. 2 (January 11, 2018): 263–65. http://dx.doi.org/10.1177/1558689817751775.

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Nasruddin, Nasruddin, Hesti Umiyati, and Kevin Refano Fadil. "The Optimization Management of Combination Research Methods in Improving the Quality of Writing Research Reports." Aptisi Transactions on Management (ATM) 3, no. 1 (January 3, 2019): 36–45. http://dx.doi.org/10.33050/atm.v3i1.823.

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Abstract:

Management in writing research reports is a crucial activity for a researcher who wants to publish his research results. The research method is a method used to get results and discussion of research. In this study, the research method was used to explain the characteristics of quantitative, combination and qualitative methods with as many as 12 (twelve) points, and literature studies on the definition of 4 (four). The core of this study discusses management of the philosophical foundation of combination research, the characteristics of quantitative, qualitative and combination methods. Then discussed also the definition of combination methods, the nature of the combination method, variations of combination methods, combination research methods models: combination model or sequential explanatory design, combination model or sequential exploratory design, combination model or concurrent triangulation design and model combination method or concurrent embedded design. By doing this research, it is hoped that it can add insight to the authors of research reports regarding the management of combination research methods.

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Twycross, Alison. "Research design: qualitative, quantitative and mixed methods approachesResearch design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 £29 0761924426 0761924426." Nurse Researcher 12, no. 1 (September 2004): 82–83. http://dx.doi.org/10.7748/nr.12.1.82.s2.

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