Research Methodology, Design, and Methods
[Author Name(s), First M. Last, Omit Titles and Degrees]
[Institutional Affiliation(s)]
Author Note
[Include any grant/funding information and a complete correspondence address.]
Research Methodology, Design, and Methods
Chapter for research design is the next step to analyze topics for research design. This chapter will include a brief analysis of various topics. In the beginning, the research methodology will be discussed in detail. After research methodology, research design and methods used in research will be explained. This chapter will discuss the data collection methods for this research study. And then, this chapter will discuss the sampling and data analysis procedures used in this research study.
The responses taken from participants showed a relationship between the safety and health of workers and the Sun Coast's performance. It was also studied that Sun Coast also provides a safe and better working environment for workers by eliminating substances, which can be a hindrance to their growth.
Research Methodology
The research methodology is quantitative research. Choosing quantitative research is to follow the scientific and systematic methods to justify and understand the questions of how and why people act and think in some specific ways ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"34qeBMOz","properties":{"formattedCitation":"(Nardi, 2018)","plainCitation":"(Nardi, 2018)","noteIndex":0},"citationItems":[{"id":155,"uris":["http://zotero.org/users/local/F0XOCTdk/items/PS7V5XEL"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/PS7V5XEL"],"itemData":{"id":155,"type":"book","title":"Doing survey research: A guide to quantitative methods","publisher":"Routledge","ISBN":"1-351-69725-0","author":[{"family":"Nardi","given":"Peter M."}],"issued":{"date-parts":[["2018"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Nardi, 2018).
Research Design
Descriptive research design is suitable and appropriate. Reason for descriptive design is because of systematic and accurate study about the impacts of the work environment on the workers' health and safety. A descriptive research design aims to study the associations and relationships between or among the required variables ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"fmyLnoL8","properties":{"formattedCitation":"(Dulock, 1993)","plainCitation":"(Dulock, 1993)","noteIndex":0},"citationItems":[{"id":156,"uris":["http://zotero.org/users/local/F0XOCTdk/items/EYWF57SP"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/EYWF57SP"],"itemData":{"id":156,"type":"article-journal","title":"Research Design: Descriptive Research","container-title":"Journal of Pediatric Oncology Nursing","page":"154-157","volume":"10","issue":"4","source":"SAGE Journals","DOI":"10.1177/104345429301000406","ISSN":"1043-4542","shortTitle":"Research Design","journalAbbreviation":"J Pediatr Oncol Nurs","language":"en","author":[{"family":"Dulock","given":"Helen L."}],"issued":{"date-parts":[["1993",10,1]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Dulock, 1993).
Research Method
The research method will give a brief about the research methods being used for this research study. The quantitative method is used for this research study. Quantitative researches aim to focus on a common reality regardless of theory differences, and many people can agree to this reality ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"HuwlKYwN","properties":{"formattedCitation":"(Newman, Benz, & Ridenour, 1998)","plainCitation":"(Newman, Benz, & Ridenour, 1998)","noteIndex":0},"citationItems":[{"id":158,"uris":["http://zotero.org/users/local/F0XOCTdk/items/TS45SPQY"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/TS45SPQY"],"itemData":{"id":158,"type":"book","title":"Qualitative-quantitative Research Methodology: Exploring the Interactive Continuum","publisher":"SIU Press","number-of-pages":"244","source":"Google Books","abstract":"Rejecting the artificial dichotomy between qualitative and quantitative research strategies in the social and behavioral sciences, Isadore Newman and Carolyn R. Benz argue that the two approaches are neither mutually exclusive nor interchangeable; rather, the actual relationship between the two paradigms is one of isolated events on a continuum of scientific inquiry. Through graphic and narrative descriptions, Newman and Benz show research to be a holistic endeavor in the world of inquiry. To clarify their argument, they provide a diagram of the \"qualitative-quantitative interactive continuum\" showing that qualitative analysis with its feedback loops can easily modify the types of research questions asked in quantitative research and that the quantitative results and its feedback can change what will be asked qualitatively. In their model for research—an \"interactive continuum\"—Newman and Benz emphasize four major points: the research question dictates the selection of research methods; consistency between question and design can lead to a method of critiquing research studies in professional journals; the interactive continuum model is built around the place of theory; and the assurance of \"validity\" of research is central to all studies.","ISBN":"978-0-8093-2150-6","note":"Google-Books-ID: xumf1ABFz8cC","shortTitle":"Qualitative-quantitative Research Methodology","language":"en","author":[{"family":"Newman","given":"Isadore"},{"family":"Benz","given":"Carolyn R."},{"family":"Ridenour","given":"Professor Carolyn S."}],"issued":{"date-parts":[["1998"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Newman, Benz, & Ridenour, 1998). This research study is a descriptive research study where data is being analyzed statistically. The descriptive research method aims to explain the phenomena by the help of data being collected, and with the help of statistics, the data is analyzed ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"YpzzZUbW","properties":{"formattedCitation":"(Offredy & Vickers, 2010)","plainCitation":"(Offredy & Vickers, 2010)","noteIndex":0},"citationItems":[{"id":161,"uris":["http://zotero.org/users/local/F0XOCTdk/items/63H44UHF"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/63H44UHF"],"itemData":{"id":161,"type":"book","title":"Developing a Healthcare Research Proposal: An Interactive Student Guide","publisher":"John Wiley & Sons","number-of-pages":"293","source":"Google Books","abstract":"Are you new to research and daunted by the idea of constructing your own research proposal? Then this is the book you need! This book and accompanying web resource will answer all your questions about healthcare research by introducing you to the concepts, theories and practicalities surrounding it. The aim of both the book and the web resource is to help you to write a good healthcare research proposal – which is the starting point for any would-be student researcher. The book takes a look at the theory of research, the core of the topic, but also provides practical help and advice along the way. It takes the reader through the stages of the research process from developing the question to communicating the findings, demystifying the process on the way. The web resource works alongside the book, supplementing and expanding on the chapters, giving you the ability to prepare your very own research proposal. Explains key concepts in a clear, easy to understand way Includes activities and scenarios for you to work through which will also increase your understanding of research and research proposals Easily navigable web resource (www.researchproposalsforhealthprofessionals.com) Both book and website are arranged in the same order in which you would develop and write a research proposal Website includes downloadable research proposal template to complete step-by-step as you work through the book and web resource","ISBN":"978-1-4051-8337-6","note":"Google-Books-ID: hdfMcHfKgPsC","shortTitle":"Developing a Healthcare Research Proposal","language":"en","author":[{"family":"Offredy","given":"Maxine"},{"family":"Vickers","given":"Peter"}],"issued":{"date-parts":[["2010",5,17]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Offredy & Vickers, 2010).
Data Collection Methods
Secondary and primary data has been collected in order to get the relevant data for research. The data collected for the research study were gathered in the first hand and secondary sources. Participants were asked questions, which means that a questionnaire was used.
Sampling Design
The sampling design for this research design would be non-probability (convenience sampling) because the participants are available. Convenience sampling is the one in which the targeted participants meet the criteria and available for participation ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"vODLflh3","properties":{"formattedCitation":"(Etikan, Musa, & Alkassim, 2016)","plainCitation":"(Etikan, Musa, & Alkassim, 2016)","noteIndex":0},"citationItems":[{"id":167,"uris":["http://zotero.org/users/local/F0XOCTdk/items/4FKN8JHG"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/4FKN8JHG"],"itemData":{"id":167,"type":"article-journal","title":"Comparison of convenience sampling and purposive sampling","container-title":"American journal of theoretical and applied statistics","page":"1-4","volume":"5","issue":"1","author":[{"family":"Etikan","given":"Ilker"},{"family":"Musa","given":"Sulaiman Abubakar"},{"family":"Alkassim","given":"Rukayya Sunusi"}],"issued":{"date-parts":[["2016"]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Etikan, Musa, & Alkassim, 2016). There was a total of 321 participants, including 45 percent of males and 55 percent of females. Among these participants, 60 percent of the participants were either workers or the employees of the Sun Coast Company.
Data Analysis Procedures
With the help of SPSS the data analysis will be carried out. And to test hypothesis data will be analyzed in SPSS. SPSS is a software to analyze the quantitative data, which is not time-consuming, and it has benefits of modeling on multilevel ADDIN ZOTERO_ITEM CSL_CITATION {"citationID":"0r7uHnwH","properties":{"formattedCitation":"(Heck, Thomas, & Tabata, 2011)","plainCitation":"(Heck, Thomas, & Tabata, 2011)","noteIndex":0},"citationItems":[{"id":174,"uris":["http://zotero.org/users/local/F0XOCTdk/items/XRADY2AW"],"uri":["http://zotero.org/users/local/F0XOCTdk/items/XRADY2AW"],"itemData":{"id":174,"type":"book","title":"Multilevel and Longitudinal Modeling with IBM SPSS","publisher":"Routledge","number-of-pages":"356","source":"Google Books","abstract":"This is the first book to demonstrate how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Version 18. The authors tap the power of SPSS''s Mixed Models routine to provide an elegant and accessible approach to these models. Readers who have learned statistics using this software will no longer have to adapt to a new program to conduct quality multilevel and longitudinal analyses. Annotated screen shots with all of the key output provide readers with a step-by-step understanding of each technique as they are shown how to navigate through the program. Diagnostic tools, data management issues, and related graphics are introduced throughout. SPSS commands show the flow of the menu structure and how to facilitate model building. Annotated syntax is also available for those who prefer this approach. Most chapters feature an extended example illustrating the logic of model development. These examples show readers the context and rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at http://www.psypress.com/multilevel-modeling-techniques/ . The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and/or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, how to develop a multilevel model, and trouble-shooting techniques for common programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are developed in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 illustrates SPSS''s facility for examining models with cross-classified data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues to keep in mind in conducting multilevel analyses. Ideal as a supplementary text for graduate level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in departments of psychology, business, education, health, and sociology, this book''s practical approach will also appeal to researchers in these fields. The book provides an excellent supplement to Heck & Thomas''s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text. ps around which the analyses are structured. The data used in the text and syntax examples are available at http://www.psypress.com/multilevel-modeling-techniques/ . The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and/or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, how to develop a multilevel model, and trouble-shooting techniques for common programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are developed in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 illustrates SPSS''s facility for examining models with cross-classified data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues to keep in mind in conducting multilevel analyses. Ideal as a supplementary text for graduate level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in departments of psychology, business, education, health, and sociology, this book''s practical approach will also appeal to researchers in these fields. The book provides an excellent supplement to Heck & Thomas''s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text. techniques introduced and issues to keep in mind in conducting multilevel analyses. Ideal as a supplementary text for graduate level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in departments of psychology, business, education, health, and sociology, this book''s practical approach will also appeal to researchers in these fields. The book provides an excellent supplement to Heck & Thomas''s An Introduction to Multilevel Modeling Techniques, 2nd Edition; however, it can also be used with any multilevel and/or longitudinal modeling book or as a stand-alone text.","ISBN":"978-1-136-99635-1","note":"Google-Books-ID: XVOzAQAAQBAJ","language":"en","author":[{"family":"Heck","given":"Ronald H."},{"family":"Thomas","given":"Scott L."},{"family":"Tabata","given":"Lynn N."}],"issued":{"date-parts":[["2011",4,27]]}}}],"schema":"https://github.com/citation-style-language/schema/raw/master/csl-citation.json"} (Heck, Thomas, & Tabata, 2011).
References
Dulock, H. L. (1993). Research Design: Descriptive Research. Journal of Pediatric Oncology Nursing, 10(4), 154–157. https://doi.org/10.1177/104345429301000406
Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4.
Heck, R. H., Thomas, S. L., & Tabata, L. N. (2011). Multilevel and Longitudinal Modeling with IBM SPSS. Routledge.
Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge.
Newman, I., Benz, C. R., & Ridenour, P. C. S. (1998). Qualitative-quantitative Research Methodology: Exploring the Interactive Continuum. SIU Press.
Offredy, M., & Vickers, P. (2010). Developing a Healthcare Research Proposal: An Interactive Student Guide. John Wiley & Sons.
