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Research Methods for the Social Sciences: 1e. Data Analysis
Addresses the type of statistics found in research
Books on Data Analysis
Analyzing Quantitative Data by Debra Wetcher-HendricksA user-friendly, hands-on guide to recognizing and conductingproper research techniques in data collection Offering a unique approach to numerical research methods,Analyzing Quantitative Data: An Introduction for SocialResearchers presents readers with the necessary statisticalapplications for carrying out the key phases of conducting andevaluating a research project. The book guides readers through thesteps of data analysis, from organizing raw data to utilizingdescriptive statistics and tests of significance, drawing validconclusions, and writing research reports. The author successfullyprovides a presentation that is accessible and hands-on rather thanheavily theoretical, outlining the key quantitative processes andthe use of software to successfully draw valid conclusions fromgathered data. In its discussion of methods for organizing data, the bookincludes suggestions for coding and entry into spreadsheets ordatabases while also introducing commonly used descriptivestatistics and clarifying their roles in data analysis. Next,inferential statistics is explored in-depth with explanations ofand instructions for performing chi-square tests, t-tests, analysesof variance, correlation and regression analyses, and a number ofadvanced statistical procedures. Each chapter contains explanationsof when to use the tests described, relevant formulas, and samplecomputations. The book concludes with guidance on extractingmeaningful conclusions from statistical tests and writing researchreports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS®sections provide fundamental instruction for using SPSS® toobtain the results presented. Where necessary, the author providesbasic theoretical explanations for distributions and backgroundinformation regarding formulas. Each chapter concludes withpractice problems, and a related website features derivations ofthe book's formulas along with additional resources for performingthe discussed processes. Analyzing Quantitative Data is an excellent book forsocial sciences courses on data analysis and research methods atthe upper-undergraduate and graduate levels. It also serves as avaluable reference for applied statisticians and practitionersworking in the fields of education, medicine, business and publicservice who analyze, interpret, and evaluate data in their dailywork.
Publication Date: 2011-08-23
Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences by Michael J. AlbersGuides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis process as a cyclical, multiphase process and addresses the processes of exploratory analysis, decision-making for performing parametric or nonparametric analysis, and practical significance determination. In addition, the author details how data analysis is used to reveal the underlying patterns and relationships between the variables and connects those trends to the data's contextual situation. Filling the gap in quantitative data analysis literature, this book teaches the methods and thought processes behind data analysis, rather than how to perform the study itself or how to perform individual statistical tests. With a clear and conversational style, readers are provided with a better understanding of the overall structure and methodology behind performing a data analysis as well as the needed techniques to make informed, meaningful decisions during data analysis. The book features numerous data analysis examples in order to emphasize the decision and thought processes that are best followed, and self-contained sections throughout separate the statistical data analysis from the detailed discussion of the concepts allowing readers to reference a specific section of the book for immediate solutions to problems and/or applications. Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences also features coverage of the following: * The overall methodology and research mind-set for how to approach quantitative data analysis and how to use statistics tests as part of research data analysis * A comprehensive understanding of the data, its connection to a research situation, and the most appropriate statistical tests for the data * Numerous data analysis problems and worked-out examples to illustrate the decision and thought processes that reveal underlying patterns and trends * Detailed examples of the main concepts to aid readers in gaining the needed skills to perform a full analysis of research problems * A conversational tone to effectively introduce readers to the basics of how to perform data analysis as well as make meaningful decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper-undergraduate and graduate-level research method courses in the behavioral and social sciences, statistics, and engineering. This book is also an appropriate reference for practitioners who require a review of quantitative research methods. Michael J. Albers, Ph.D., is Professor in the Department of English at East Carolina University. His research interests include information design with a focus on answering real-world questions, the presentation of complex information, and human-information interaction. Dr. Albers received his Ph.D. in Technical Communication and Rhetoric from Texas Tech University.
Publication Date: 2017-04-03
Qualitative Data by Carl F. Auerbach; Louise B. SilversteinQualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research, and ending with planning and carrying out a qualitative research study. It provides an explicit, step-by-step procedure that will take the researcher from the raw text of interview data through data analysis and theory construction to the creation of a publishable work. The volume provides actual examples based on the authors' own work, including two published pieces in the appendix, so that readers can follow examples for each step of the process, from the project's inception to its finished product. The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.