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Quantitative Methods In Social Science Research

Author: Stephen Gorard
Publisher: A&C Black
ISBN: 1441144765
Size: 26.71 MB
Format: PDF, ePub
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This clever scheme builds on Gorard's previous book, Quantitative Methods in Educational Research. He has revised the original book in the light of experience and feedback, and has reworked it so that it includes more social science examples. Four chapters are entirely new.

Quantitative Social Research Methods

Author: Kultar Singh
Publisher: SAGE
ISBN: 0761933832
Size: 37.54 MB
Format: PDF, Kindle
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Quantitative Social Research Methods explores the entire spectrum of quantitative social research methods and their application, with special reference to the development sector. It provides detailed coverage of all statistical research and analysis method with an emphasis on multivariate analysis techniques, such as regression discriminant analysis, logistic regression, factor, factor, cluster, correspondence and conjoint analysis. The book is thematically arranged in two sections: the first section introduces development research techniques, explores the genesis and scope of social research, research processes and then goes on to explain univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. The second focuses on the application of social and development research methods in the development sector. It explores research method application and the issues relevant to aspects of development such as population, health and nutrition, poverty and rural development, education, water and sanitation, and environment and natural resource management.

Using Secondary Data In Educational And Social Research

Author: Smith, Emma
Publisher: McGraw-Hill Education (UK)
ISBN: 0335223583
Size: 66.56 MB
Format: PDF, Mobi
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This comprehensive guide introduces students to the use of secondary data in educational and social research, and provides a practical resource for researchers who are new to the field of secondary data analysis.

Theory And Methods In Social Research

Author: Bridget Somekh
Publisher: SAGE
ISBN: 9781446246320
Size: 79.91 MB
Format: PDF, Mobi
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This new edition provides a scholarly and readable introduction to all the key qualitative and quantitative research methodologies and methods, enabling postgraduate and masters-level students and new researchers to reflect on which ones suit their needs and to receive guidance on how to find out more. With chapters written by experienced research practitioners, this second edition has been extensively expanded and updated. There are seven completely new chapters, as well as: - new material on literature reviews - a new introduction to quantitative methods - an expanded glossary - Weblinks with free access to a wide range of peer-reviewed journal articles - an annotated bibliography with conversational notes from authors in each chapter. This book will act as your 'expert friend' throughout your research project, providing advice, explaining key concepts and the implications for your research design, and illustrating these with examples of real research studies.

Teaching Research Methods In The Social Sciences

Author: Claire Wagner
Publisher: Routledge
ISBN: 1317046560
Size: 54.82 MB
Format: PDF, Kindle
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How can excellence in the teaching of research methods be encouraged and ensured? This question has become increasingly important following the adoption of research methodology as a core part of many postgraduate and undergraduate courses. There has, however, been little discussion about the aims and methods of teaching the subject. In this volume; a number of authors from a variety of countries and disciplines employ their knowledge and experience towards the development of a 'pedagogical culture' in research methods. Their aim is to establish the extent of common concerns and challenges and to demonstrate ways in which these are being met. Intended to provide both a stimulus and source materials for the development of a more substantial and systematic literature in the field, the book will be of great interest to all those teaching research methods courses within social science disciplines.

Advanced Quantitative Data Analysis

Author: Cramer, Duncan
Publisher: McGraw-Hill Education (UK)
ISBN: 0335200591
Size: 28.19 MB
Format: PDF, Kindle
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There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. The following features characterize this book: concise and accessible introduction to calculating and interpreting advanced statistical techniques; use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique; succinct illustration of writing up the results of these analyses; minimum of mathematical, statistical and technical notation; annotated bibliography and glossary of key concepts.

Understanding Educational Statistics Using Microsoft Excel And Spss

Author: Martin Lee Abbott
Publisher: John Wiley & Sons
ISBN: 1118627180
Size: 80.84 MB
Format: PDF, ePub
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Utilizing the latest software, this book presents the essentialstatistical procedures for drawing valuable results from data inthe social sciences. Mobilizing interesting real-world examples from the field ofeducation, Understanding Educational Statistics Using MicrosoftExcel and SPSS supplies a seamless presentation that identifiesvaluable connections between statistical applications and researchdesign. Class-tested to ensure an accessible presentation, the bookcombines clear, step-by-step explanations and the use of softwarepackages that are accessible to both the novice and professionalalike to present the fundamental statistical practices fororganizing, understanding, and drawing conclusions from educationalresearch data. The book begines with an introduction to descriptive andinferential statistics and then proceeds to acquaint readers withthe various functions for working with quantitative data in theMicrosoft Excel environment, such as spreadsheet navigation;sorting and filtering; and creating pivot tables. Subsequentchapters treat the procedures that are commonly-employed whenworking with data across various fields of social science research,including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, eachending with a lab exercise that highlights the importance of thatprocedure by posing a research question, examining the questionthrough its application in Excel and SPSS, and concluding with abrief research report that outlines key findings drawn from theresults. Real-world examples and data from modern educationalresearch are used throughout the book, and a related Web sitefeatures additional data sets, examples, and labs, allowing readersto reinforce their comprehension of the material. Bridging traditional statistical topics with the latest softwareand applications in the field of education, UnderstandingEducational Statistics Using Microsoft Excel and SPSS is anexcellent book for courses on educational research methods andintroductory statistics in the social sciences at theupper-undergraduate and graduate levels. It also serves as avaluable resource for researchers and practitioners in the fieldsof education, psychology, and the social sciences who require astatistical background to work with data in their everydaywork.

Understanding And Applying Research Design

Author: Martin Lee Abbott
Publisher: John Wiley & Sons
ISBN: 1118605292
Size: 47.76 MB
Format: PDF, ePub
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A fresh approach to bridging research design with statistical analysis While good social science requires both research design and statistical analysis, most books treat these two areas separately. Understanding and Applying Research Design introduces an accessible approach to integrating design and statistics, focusing on the processes of posing, testing, and interpreting research questions in the social sciences. The authors analyze real-world data using SPSS software, guiding readers on the overall process of science, focusing on premises, procedures, and designs of social scientific research. Three clearly organized sections move seamlessly from theoretical topics to statistical techniques at the heart of research procedures, and finally, to practical application of research design: Premises of Research introduces the research process and the capabilities of SPSS, with coverage of ethics, Empirical Generalization, and Chi Square and Contingency Table Analysis Procedures of Research explores key quantitative methods in research design including measurement, correlation, regression, and causation Designs of Research outlines various design frameworks, with discussion of survey research, aggregate research, and experiments Throughout the book, SPSS software is used to showcase the discussed techniques, and detailed appendices provide guidance on key statistical procedures and tips for data management. Numerous exercises allow readers to test their comprehension of the presented material, and a related website features additional data sets and SPSS code. Understanding and Applying Research Design is an excellent book for social sciences and education courses on research methods at the upper-undergraduate level. The book is also an insightful reference for professionals who would like to learn how to pose, test, and interpret research questions with confidence.