An Introduction to Secondary Data Analysis with IBM SPSS Statistics PDF Download
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Author: John MacInnes
Publisher: SAGE
ISBN: 1473987717
Category : Social Science
Languages : en
Pages : 434
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Book Description
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
Author: John MacInnes
Publisher: SAGE
ISBN: 1473986958
Category : Social Science
Languages : en
Pages : 337
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Book Description
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
Author: John MacInnes
Publisher: SAGE
ISBN: 1473987717
Category : Social Science
Languages : en
Pages : 434
Get Book Here
Book Description
Many professional, high-quality surveys collect data on people′s behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and ′clean′ secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you′ll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book′s companion website give you an opportunity to practice, check your understanding and work hands on with real data as you′re learning.
Author: Rachad Antonius
Publisher: SAGE
ISBN: 9780761973997
Category : Social Science
Languages : en
Pages : 336
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Book Description
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
Author: Niels Blunch
Publisher: SAGE
ISBN: 1446271846
Category : Reference
Languages : en
Pages : 314
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Book Description
This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS′ graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. Real life examples from a variety of disciplines to show how SEM is applied in real research contexts. Exercises for each chapter on an accompanying companion website. A new glossary. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any discipline. Niels J. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark
Author: James E. Sallis
Publisher: Springer Nature
ISBN: 3030844218
Category : Business & Economics
Languages : en
Pages : 263
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Book Description
This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations.
Author: Lawrence S. Meyers
Publisher: John Wiley & Sons
ISBN: 1118357019
Category : Mathematics
Languages : en
Pages : 741
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Book Description
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.
Author: Abdulkader Aljandali
Publisher: Springer
ISBN: 3319455281
Category : Business & Economics
Languages : en
Pages : 190
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Book Description
This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.
Author: Zina O′Leary
Publisher: SAGE
ISBN: 1529756545
Category : Social Science
Languages : en
Pages : 316
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Book Description
This practical book sets out how to approach each stage of your research project, from choosing a research design and methodology to collecting and analysing data and communicating your results – and showcases best practice along the way. Packed with pragmatic guidance for tackling research in the real world, this fourth edition: Offers support for diving into a project using digital data, with how-to guidance on conducting online and social media research Empowers you to confidently disseminate your work and present with impact Helps you map out your research journey and put a plan in place with decision trees in every chapter Challenges you to be reflective and critical about the research you consume and undertake Zina O′Leary′s detailed and down-to-earth approach gives you the research skills and momentum you need to successfully complete your research project.
Author: Allucia L. Shokane
Publisher: AOSIS
ISBN: 1928396607
Category : Political Science
Languages : en
Pages : 418
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Book Description
Issues Around Aligning Theory, Research and Practice in Social Work Education provides a reflection on social work education with a slant towards an Afrocentric approach, aiming to facilitate strong reflective thinking and to address local realities about social work education on the African continent as well as in broader global contexts. This volume focuses on issues around aligning theory, research and practice in social work education. A significant contribution is made here to the scholarly understanding of opportunities to sustain the academic discourse on social work education. Social work as a profession and a social science discipline is dynamic, and it ought to meet the challenges of the realities of the societies in which it serves, given the history of the changing society of South Africa from apartheid to democracy. Over the years, social work education and training has undergone tremendous curricular changes with the enactment of the White Paper for Social Welfare and the national review, respectively, by the South African Council for Social Services Professions (SACSSP) and the Council on Higher Education (CHE) for the re-accreditation of all Bachelor of Social Work (BSW) programmes in South Africa fulfilling the prescripts of the Higher Education Act (No. 101 of 1997, as amended) and Social Service Professions Act (No. 110 of 1978). It is worth mentioning that the curricular changes will also continue with the current reviewing of Social Service Professions Act (No. 110 of 1978), as amended, which is underway in South Africa. This book is really ground-breaking! The Afrocentric perspective on social work practice contributes to the current discourse on decolonisation of social work teaching and practice. From a methodological perspective, the book is premised on multi-, inter- and trans-disciplining in social sciences. It covers aspects of social work education and practice through research (narrative, qualitative, African methodology, secondary data analysis, etc.), engendering values and ethics, report writing, supervision in fieldwork as well as exchange programmes and international service-learning, addressing a number of concepts such as cultural competency, cultural awareness and sensitivity are addressed.
Author: Helen Kara
Publisher: Policy Press
ISBN: 1447338413
Category : Reference
Languages : en
Pages : 272
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Book Description
Even as the pace of research increases, researchers do not exist in a bubble. Brilliantly attuned to the demands placed on today's researchers--people who want to stay on top of their job and still have a life--this book considers how students, academics, and professionals alike can save time and stress without compromising the quality of their work. Drawing on interviews with researchers as well as the author's extensive experience, this fully revised second edition of Helen Kara's Research and Evaluation for Busy Practitioners provides a wealth of practical advice on a range of topics like using social media and the diversity of available methodologies, including action research, arts-based methods, and digitally mediated research. Comprehensive, global in its scope, and supportive, this second edition is also accompanied by a fully revised and updated companion website, http: //policypress.co.uk/resources/kara-research.
