Author: Debra Wetcher-Hendricks
Publisher: John Wiley & Sons
Release Date: 2014-08-21
A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.
Author: Jeremy J Foster
Release Date: 2001-03-20
Genre: Social Science
A new edition of this best-selling introductory book to cover the latest SPSS versions 8.0 - 10.0 This book is designed to teach beginners how to use SPSS for Windows, the most widely used computer package for analysing quantitative data. Written in a clear, readable and non-technical style the author explains the basics of SPSS including the input of data, data manipulation, descriptive analyses and inferential techniques, including; - creating using and merging data files - creating and printing graphs and charts - parametric tests including t-tests, ANOVA, GLM - correlation, regression and factor analysis - non parametric tests and chi square reliability - obtaining neat print outs and tables - includes a CD-Rom containing example data files, syntax files, output files and Excel spreadsheets.
Author: Mark Balnaves
Release Date: 2001-06-04
Genre: Social Science
Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The multimedia courseware provides tutorial work on sampling, basic statistics, and techniques for seeking information from databases and other sources. The statistics modules can be used as either part of a detective games or directly in teaching and learning. Brief video lessons in SPSS, using real datasets, are also a feature of the CD-ROM.
Author: Gregory Young
Release Date: 2017-08-09
Undergraduate Research in Music: A Guide for Students supplies tools for scaffolding research skills, with examples of undergraduate research activities and case studies on projects in the various areas of music study. Undergraduate research has become a common degree requirement in some disciplines and is growing rapidly. Many undergraduate activities in music have components that could be combined into compelling undergraduate research projects, either in the required curriculum, as part of existing courses, or in capstone courses centered on undergraduate research. The book begins with an overview chapter, followed by the seven chapters on research skills, including literature reviews, choosing topics, formulating questions, citing sources, disseminating results, and working with data and human subjects. A wide variety of musical subdisciplines follow in Chapters 9–18, with sample project ideas from each, as well as undergraduate research conference abstracts. The final chapter is an annotated guide to online resources that students can access and readily operate. Each chapter opens with inspiring quotations, and wraps up with applicable discussion questions. Professors and students can use Undergraduate Research in Music: A Guide for Students as a text or a reference book in any course that has a significant opportunity for the creation of knowledge or art, within the discipline of music or in connecting music with other disciplines.
Author: Sabina Misoch
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2015-01-01
Genre: Social Science
Qualitative interviews are a key tool in modern research practice. What are the different forms of the qualitative interview? Which method is suitable for which situation? How does one conduct qualitative interviews in practice? The book answers these and other questions by presenting methodological principles and different interview methods with schemata, figures, and examples, along with a discussion of their advantages and disadvantages.
`In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project. The way is lit with real-project examples, adorned with tricks and tips, but it’s a clear path to a project' - Lyn Richards, Founder and Non-Executive Director, QSR International Doing Qualitative Data Analysis with NVivo is essential reading for anyone thinking of using their computer to help analyze qualitative data. With 15 years experience in computer-assisted analysis of qualitative and mixed-mode data, Patricia Bazeley is one of the leaders in the use and teaching of NVivo software. Through this very practical book, readers are guided on how best to make use of the powerful and flexible tools offered by the latest version of NVivo as they work through each stage of their research projects. Explanations draw on examples from her own and others' projects, and are supported by the methodological literature. Researchers have different requirements and come to their data from different perspectives. This book shows how NVivo software can accommodate and assist analysis across those different perspectives and methodological approaches. It is required reading for both students and experienced researchers alike.
Author: Ian Plewis
Publisher: John Wiley & Sons
Release Date: 1985
A guide to the analysis of quantitative longitudinal data, emphasizing the difficult conceptual problems of measuring change with social science data. Aids in the construction of causal models using 'real' longitudinal data from a broad range of contexts in the social sciences, including data relevant to educationalists, social and developmental psychologists, social administrators, sociologists, and political scientists.
Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.6, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy, IPython und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und zugehöriges Material des Buchs sind auf GitHub verfügbar.Aus dem Inhalt:Nutzen Sie die IPython-Shell und Jupyter Notebook für das explorative ComputingLernen Sie Grundfunktionen und fortgeschrittene Features von NumPy kennenSetzen Sie die Datenanalyse-Tools der pandasBibliothek einVerwenden Sie flexible Werkzeuge zum Laden, Bereinigen, Transformieren, Zusammenführen und Umformen von DatenErstellen Sie interformative Visualisierungen mit matplotlibWenden Sie die GroupBy-Mechanismen von pandas an, um Datensätzen zurechtzuschneiden, umzugestalten und zusammenzufassenAnalysieren und manipulieren Sie verschiedenste Zeitreihen-DatenFür diese aktualisierte 2. Auflage wurde der gesamte Code an Python 3.6 und die neuesten Versionen der pandas-Bibliothek angepasst. Neu in dieser Auflage: Informationen zu fortgeschrittenen pandas-Tools sowie eine kurze Einführung in statsmodels und scikit-learn.
This volume provides a comprehensive summary of developments in theories and techniques within the areas of sampling, measurement, and statistical methods for analyzing behavioral data. By unifying new theories, techniques, methodologies, terminology, and language in behavioral observation research, the authors provide a comprehensive source for students and researchers.
Author: Professor Leonard Bickman
Release Date: 1998
Genre: Social Science
The Handbook of Applied Social Research Methods shows how to make intelligent and conscious decisions so that researchers can refine and hone their research questions as new knowledge is gained, unanticipated obstacles are encountered, or contextual shifts take place - all key elements in the iterative nature of applied research. With examples and illustrations from the authors' own experiences, this book gives readers a practical guide to conducting applied research.
Author: Carol T. Fitz-Gibbon
Release Date: 1987
This volume offers a basic introduction to a variety of elementary statistical techniques, including those for summarizing data, analysing differences between groups and examining relationships between measures. How to Analyze Data is a revision of the first edition volume How to Calculate Statistics. While many of the techniques described are the same as those in the original version, several infrequently applied ones have been excluded, and treatment of Effect Size, a relatively recent and simple approach to examining differences between groups, has been added. Moreover, the book has been significantly expanded with three important new chapters. A concerted effort has been made to include only the most basic and widely used statistical techniques that are appropriate for answering essential evaluation questions. Worksheets and practical examples are included throughout.
Author: Lynn Silipigni Connaway
Publisher: Libraries Unlimited
Release Date: 2016-11-30
Genre: Language Arts & Disciplines
An essential resource for LIS master's and doctoral students, new LIS faculty, and academic librarians, this book provides expert guidance and practical examples based on current research about quantitative and qualitative research methods and design. * Now it its sixth edition, the book provides new and updated content that is even more comprehensive than before and contains added sections featuring the voices of prominent LIS scholars, researchers, and editors * "Voices of the Experts" text boxes provide researchers' advice on specific methods and identify what was most important or most valuable about using a particular method and software for analysis—e.g., NVivo, SurveyMonkey, and log capture * Written by coauthors with extensive expertise in research design, securing grant funding, and using the latest technology and data analysis software
Author: James L. Bellini
Publisher: Charles C Thomas Publisher
Release Date: 2009
Genre: Electronic books
This second edition represents the thorough revision necessary to accurately reflect the variation and wealth of research methodologies used in contemporary rehabilitation counseling research. As with the previous edition, this new second edition is divided into ten chapters. Chapter 1 establishes the theoretical underpinnings of social scientific inquiry, provides a foundation in the philosophical, epistemological, and methodological considerations related to the design and execution of rehabilitation research, and discusses the broad purposes of research. Chapter 2 addresses the issues that.