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)

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 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.

This is a new edition of one of our best-selling textbooks. The authors have thoroughly updated the fourth edition and included more text on current developments in research practice, action research, developments in ICT, questionnaire design, ethnographic research, conducting needs analysis, constructing and using tests, observational methods, reliability and validity, ethical issues and curriculum research. The entire text has been redesigned to cater for the increasingly sophisticated needs of the educational researcher. The new edition is more comprehensive, up-to-date and user-friendly, with increased accessibility. The authors, who are experienced teachers in the field, have produced a better written book (if that's possible) containing readable and realistic views of research and methodology, and show how to interpret the data.

Research Methods in Intercultural Communication introduces and contextualizes the most important methodological issues in the field for upper-level undergraduate and graduate students. Examples of these issues are which paradigms and how to research multilingually, interculturally and ethnically. Provides the first dedicated and most comprehensive volume on research methods in intercultural communication research in the last 30 years Explains new and emerging methods, as well as more established ones. These include: Matched Guise Technique, Discourse Completion Task, Critical Incident Technique, Critical Discourse Analysis, Ethnography, Virtual Ethnography, Corpus Analysis, Multimodality, Conversation Analysis, Narrative Analysis, Questionnaire and Interview. Assists readers in determining the most suitable method for various research questions, conceptualizing the research process, interpreting results, and drawing conclusions Supports students from start to finish with key terms, suggestions for further reading, research summaries, and sound guidance from experienced scholars and researchers

Each chapter is filled with examples that provide context for the theories and concepts being discussed.

This reference offers an analysis of the issues and theoretical construction behind sport organisations. The practical case studies and profiles illustrate how the theory and knowledge can be applied to realistic examples. There is also information on strategic alliances and research in sports management.

Research in applied linguistics and language education often faces a challenge due to a lack of updated knowledge and understanding of research methods, particularly among undergraduate and graduate students and novice researchers. This knowledge gap can lead to ineffective research practices, inaccurate data interpretation, and limited progress in the field. To address this challenge, Applied Linguistics and Language Education Research Methods: Fundamentals and Innovations provides a comprehensive solution by offering a detailed exploration of research methods tailored to the needs of students and novice researchers. This book covers qualitative and quantitative approaches, research processes, literature reviews, and other vital aspects of academic rigor in research. It also addresses common challenges faced during the research process, such as formulating research aims, questions, and hypotheses and effectively collecting, analyzing, and interpreting data. Through clear and accessible explanations, readers gain a deeper understanding of these complex topics, enabling them to navigate the research process confidently. Additionally, the book covers various research types and designs, including experimental, survey, correlational, narrative, action research, and mixed-methods designs. Ensuring readers are well-equipped to choose the most appropriate methodology for their research needs leads to more robust and impactful studies in their respective fields.

Accompanying CD-ROM contains ... "wide-ranging data sets [SPSS Student Version 14.0], a demo for Hyper RESEARCH qualitative data analysis software, and interactive exercises to help students master concepts and techniques."--Page 4 of cover.

Research Methods and Design Beyond a Single Discipline presents and discusses 15 research methods after an overview of each, an illustration of the research process, and an examination of related topics. The focus of this book is on data collection techniques (e.g., interviewing, observation, questionnaires) and research design. Research methods are named and categorized by data collection techniques in this book rather than by the quantitative and qualitative dichotomy used for data analysis techniques. Each of the 15 research methods included in the book is depicted regarding its functions, features, applications, and dos and don’ts, with examples and case studies from various disciplines. Research methodology development in research design starts with selection of data collection techniques, which takes into consideration research questions of a study and research method features. Data analysis techniques and selection are described as part of the research methodology development to help readers choose the most appropriate methodology for their own research, and put research design into practice. This book is essential for masters and doctoral students, and researchers who wish to learn about research methods and design comprehensively and systematically, as well as instructors delivering research methods courses across the social and behavioral sciences.