Microcomputer Applications in Qualitative Research


Author: Bryan Pfaffenberger
Publisher: SAGE Publications, Incorporated
ISBN: 9780803931206
Category: Social Science
Page: 88
View: 8486

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Microcomputer Applications in Qualitative Research critically surveys the many ways microcomputers and programmes can be used to further qualitative social research. The author focuses on the liabilities and benefits of using this technology for research purposes and provides a generic, conceptual approach rather than a how-to guide to specific computers and programmes. Underlying every chapter is the conviction that microcomputer technology can only be useful in qualitative studies if its limitations, including its potentially negative or constraining impact, are kept in mind. The impact of microcomputer technology on qualitative research is considered in its relation to society as a whole.

Using Microcomputers in Research


Author: Thomas W. Madron,C. Neal Tate,Robert G. Brookshire
Publisher: SAGE Publications, Incorporated
ISBN: 9780803924574
Category: Social Science
Page: 88
View: 8705

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Using Microcomputers in Research may be used in conjunction with the earlier Microcomputer Methods for Social Scientists (QASS 40) -- together they provide a lucid and comprehensive introduction to microcomputing in the social sciences. This book is organized around the research process, taking the reader through the processes of writing the research proposal, gathering data, analysing and manipulating data, and writing the research report.

Behavioural and Mental Health Research

A Handbook of Skills and Methods
Author: Glenys Parry,Fraser Watts
Publisher: Psychology Press
ISBN: 1134834616
Category: Psychology
Page: 480
View: 6304

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Behavioural and Mental Health Research, 2nd Edition is a thoroughly revised, updated, and expanded version of the invaluable guide to research skills for psychologists, psychiatrists, nurses, social workers, and graduates training in those disciplines. It provides a series of practical guidelines for starting and carrying through any research project: from selecting the most appropriate approach, using computers, and analysing data to applying for funding, writing reports, and even how to enjoy your research! This second edition also includes chapters on methods of assessment, studying people in their social settings, and service evaluation and audit methods. By considering a wide spectrum of different research methods the book gives the reader an insight into the assumptions underlying research. Quantitative methods using group design are described without assuming an advanced level of statistical knowledge. Qualitative, language-based methods and single case studies are explored as possible alternatives.

Understanding Regression Analysis

An Introductory Guide
Author: Larry D. Schroeder,Dr David L Sjoquist,Paula E. Stephan
Publisher: SAGE
ISBN: 9780803927582
Category: Medical
Page: 95
View: 8188

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The authors have provided beginners with a background to the frequently-used technique of linear regression. It is not intended to be a substitute for a course or textbook in statistics, but rather a stop-gap for students who encounter empirical work before undertaking a statistics course. It provides a heuristic explanation of the procedures and terms used in regression analysis and has been written at the most elementary level.

An Introduction to Clinical Research


Author: Catherine DeAngelis
Publisher: Oxford University Press, USA
ISBN: N.A
Category: History
Page: 166
View: 2357

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Here is an ideal introduction to research methods for clinicians, fellows, residents, and medical students. Written in a clear, easy-to-understand style, it outlines the steps that should be followed in order to organize and implement a typical investigation. Emphasizing the anticipation of future difficulties and the benefits of early planning, the authors discuss the types of questions that should be asked, how to design a study, and methods of data acquisition and analysis. Many examples are presented to illustrate the textual material, and extensive bibliography sections at the end of each chapter direct readers to published articles and texts that will provide further information.

Computer Applications in the Social Sciences


Author: Edward E. Brent,Ronald Anderson,Ronald E. Anderson
Publisher: Temple University Press
ISBN: 9780877226666
Category: Social Science
Page: 471
View: 6443

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Presenting an introduction to computing and advice on computer applications, this book examines hardware and software with respect to the needs of the social scientist. It offers a framework for the use of computers, with focus on the 'work station', the center of which is a personal computer connected to networks by a telephone-based modem.

Missing Data


Author: Paul D. Allison
Publisher: SAGE Publications
ISBN: 1452207909
Category: Social Science
Page: 104
View: 1101

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Using numerous examples and practical tips, this book offers a nontechnical explanation of the standard methods for missing data (such as listwise or casewise deletion) as well as two newer (and, better) methods, maximum likelihood and multiple imputation. Anyone who has relied on ad-hoc methods that are statistically inefficient or biased will find this book a welcome and accessible solution to their problems with handling missing data.

New Technology in Sociology

Practical Applications in Research and Work
Author: Grant Blank,James L. McCartney,Edward E. Brent
Publisher: Transaction Publishers
ISBN: 9781412829670
Category: Social Science
Page: 185
View: 7085

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When technology has been applied in business environments, its justification has usually been cast in terms of saving time or saving money. In the social sciences, the justification must be different; the viability of sociology as a profession, for example, will not be enhanced by cost reductions. The focus in this volume is on a different bottom line: the quality and content of work.

Research Designs


Author: Paul E. Spector,Paul F. Spector
Publisher: SAGE
ISBN: 9780803917095
Category: Psychology
Page: 80
View: 5552

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Author Paul E. Spector provides a clear introduction to the principles of experimental and non-experimental design, including single group design, pre-test, post-test designs, and factorial designs. Spector also covers hierarchical designs, multivariate designs, the Solomon four group design, panel designs, and designs with concomitant variables.

Basic Math for Social Scientists

Problems and Solutions
Author: Timothy Hagle
Publisher: SAGE Publications
ISBN: 1506317707
Category: Mathematics
Page: 112
View: 4712

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This book of worked-out examples not only accompanies Timothy M. Hagle's earlier book Basic Math for Social Scientists: Concepts, but also provides an informal refresher course in algebra sets, limits and continuity, differential calculus, multivariate functions, partial derivatives, integral calculus, and matrix algebra. Problem sets are also provided so that readers can practice their grasp of standard mathematical procedures.

The Association Graph and the Multigraph for Loglinear Models


Author: Harry J. Khamis
Publisher: SAGE
ISBN: 1452238952
Category: Mathematics
Page: 136
View: 3863

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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

Operational Research and the Social Sciences


Author: S.A. Cropper,Michael C. Jackson,Paul Keys
Publisher: Springer Science & Business Media
ISBN: 1461307899
Category: Psychology
Page: 723
View: 7715

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Twenty five years ago, in 1964, The Operational Research Society's first International Conference (held at Gonville and Caius College, Cambridge) took as its theme "Operational Research and the Social Sciences". The Conference sessions were organised around topics such as: Organisations and Control; Social Effects of Policies; Conflict Resolution; The Systems Concept; Models, Decisions and Operational Research. An examination of the published proceedings (J.R.Lawrence ed., 1966, Operational Research and the Social Sciences, Tavistock, London) reveals a distinct contrast between the types of contribution made by the representatives of the two academic communities involved. Nevertheless, the Conference served to break down some barriers, largely of ignorance about the objects, methods and findings of each concern. In the ensuing twenty five years, although debate has continued about the relationship between OR and the social sciences, mutual understanding has proved more difficult to achieve than many must have hoped for in 1964.

Fractal Analysis


Author: Clifford Brown,Larry Liebovitch
Publisher: SAGE
ISBN: 1412971659
Category: Mathematics
Page: 90
View: 7745

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As one of the only texts introducing fractal analysis and the social processes involved to social science readers, this is a must-have book for those looking to gain an understanding of this area of analysis.

Assessing Inequality


Author: Lingxin Hao,Daniel Q. Naiman
Publisher: SAGE Publications
ISBN: 1483342638
Category: Social Science
Page: 160
View: 9584

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Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers. Learn more about "The Little Green Book" - QASS Series! Click Here

Multivariate General Linear Models


Author: Richard F. Haase
Publisher: SAGE Publications
ISBN: 1483342115
Category: Mathematics
Page: 224
View: 9277

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Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the univariate general linear model, this volume defines the key steps in analyzing linear model data, and introduces multivariate linear model analysis as a generalization of the univariate model. The author focuses on multivariate measures of association for four common multivariate test statistics, presents a flexible method for testing hypotheses on models, and emphasizes the multivariate procedures attributable to Wilks, Pillai, Hotelling, and Roy. The volume concludes with a discussion of canonical correlation analysis that is shown to subsume all the multivariate procedures discussed in previous chapters. The analyses are illustrated throughout the text with three running examples drawing from several disciples, including personnel psychology, anthropology, environmental epidemiology, and neuropsychology.

Nonrecursive Models

Endogeneity, Reciprocal Relationships, and Feedback Loops
Author: Pamela Paxton,John R. Hipp,Sandra Marquart-Pyatt
Publisher: SAGE
ISBN: 1452237867
Category: Mathematics
Page: 144
View: 1904

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Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

Analysis of Variance


Author: Gudmund R. Iversen,Albert R. Wildt,Helmut Norpoth,Helmut P. Norpoth
Publisher: SAGE
ISBN: 9780803930018
Category: Mathematics
Page: 94
View: 1137

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The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal variables on a dependent, interval level variable. The book presumes only elementary background in significance testing and data analysis.