The Usefulness Of The Quantitative Method Of Statistical Analysis Spss As A Mode Of Data Analysis For Research Purposes
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The usefulness of the quantitative method of statistical analysis (SPSS) as a mode of data analysis for research purposes
Scientific Essay from the year 2011 in the subject Communications - Public Relations, Advertising, Marketing, Social Media, grade: 70%, The University of Surrey, language: English, abstract: This paper will look to analyse the use of the quantitative method of statistical analysis (SPSS) as a mode of data analysis for research purposes. It will aim to explain what is involved in the SPSS process by giving example to the Research Methods (RM) class dated 17th November 2010, ‘Fundamentals of Statistical Analysis I’, which involved the analysis of quantitative data through the use of the SPSS application. This will include what the exercise entailed, how data was generated for analysis using this method and how the method was executed. The discussion will then move on to describe some real life research question data that can be analysed using this method. The type of analysis to expect from SPSS will also be discussed. A discursive comparison of the SPSS method to the qualitative method of thematic analysis as a data analysis tool will be conducted at end of this paper; this will give light to the advantages and hindrances of the SPSS method. Babbie et al, (2003) explain SPSS as a ‘vehicle for discovering differences and relationships in data’, they state: “In many ways, SPSS is a vehicle for discovering differences and relationships in data, the same way a car is a vehicle for discovering places we have not yet visited...we plan the trip and set the directions. Similarly when we use SPSS, we choose the data we wish to explore and select the statistical procedures we wish to use...with SPSS commands. These commands instruct SPSS where to find our data, ways in which we want to modify the data, and the statistical procedures we want to use. (Babbie et al., 2003: 37)
Understanding Research for Business Students
Are you conducting business research for the first time and aren′t sure where to begin? This book gives you everything you need to successfully complete your research project. From choosing a direction for your research and considering ethics to data collection and presenting your results, it offers straightforward guidance on every step of the research process. Covering topics such as social media research, group working and how to research your own organisation, it provides a thorough view of research for business and management students. The book: Enables you visualise how each stage of research links to the next, and makes sure you don′t miss a step with a handy ′Research Project Wheel′ Empowers you to increase your employability and develop transferable skills, such as proposal writing and data analysis Provides student research examples that show common challenges you might face - and how to address them. Key features include research snapshots, offering short how-to examples for doing real research, and concept cartoons, which put forward different views about research so you can broaden your knowledge. It also has end-of-chapter questions, online multiple choice questions and Kahoot! questions so you can test your understanding. Guiding you through working with and understanding both primary and secondary data, this book is the perfect companion for any undergraduate conducting a business and management research project.
The Routledge Reviewer’s Guide to Mixed Methods Analysis
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.