Introduction to Factor Analysis

What It Is and How To Do It
Author: Jae-On Kim,Charles W. Mueller,Joe-On Kim,Olli Ahtola,Paul E. Spector
Publisher: SAGE
ISBN: 9780803911659
Category: Mathematics
Page: 79
View: 8793

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Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.

Introduction to Factor Analysis

What It Is and How To Do It
Author: Jae-On Kim,Charles W. Mueller,Joe-On Kim,Olli Ahtola,Paul E. Spector
Publisher: SAGE
ISBN: 9780803911659
Category: Mathematics
Page: 79
View: 5745

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Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.

Factor Analysis

Statistical Methods and Practical Issues
Author: Jae-On Kim,Charles W. Mueller
Publisher: SAGE
ISBN: 9780803911666
Category: Reference
Page: 88
View: 6074

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Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.

Discriminant Analysis


Author: William R. Klecka
Publisher: SAGE
ISBN: 9780803914919
Category: Social Science
Page: 71
View: 866

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These procedures, collectively known as discriminant analysis, allow a researcher to study the difference between two or more groups of objects with respect to several variables simultaneously, determining whether meaningful differences exist between the groups and identifying the discriminating power of each variable.

Confirmatory Factor Analysis

A Preface to LISREL
Author: J. Scott Long
Publisher: SAGE Publications
ISBN: 1452214344
Category: Social Science
Page: 88
View: 4699

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A statistical method that will appeal to two groups in particular - those who are currently using the more traditional technique of exploratory factor analysis and those who are interested in the analysis of covariance structures, commonly known as the LISREL model. The first group will find that this technique may be more appropriate to the analysis of their research problems while the second group will find that confirmatory factor analysis is a useful first step to understanding the LISREL model. This book, and its companion volume, Covariance Structure Models, are designed to be read consecutively. The proofs presented are simple, but the reader must feel comfortable with matrix algebra in order to understand the model.

Principal Components Analysis


Author: George H. Dunteman
Publisher: SAGE
ISBN: 9780803931046
Category: Mathematics
Page: 96
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For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizing the use of matrix algebra -- the reader can quickly master and put this technique to immediate use.

Public Program Evaluation

A Statistical Guide
Author: Laura Langbein
Publisher: Routledge
ISBN: 1317461622
Category: Philosophy
Page: 304
View: 9796

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This book covers all your basics and introduces the reader to more advanced methods. It is very well written and includes examples that make even complicated procedures understandable. It even includes codes for STATA! A wonderful text that is a must have.

Surveys In Social Research


Author: David De Vaus,David de Vaus
Publisher: Routledge
ISBN: 1134086385
Category: Social Science
Page: 400
View: 917

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David de Vaus' classic text Surveys in Social Research provides clear advice on how to plan, conduct and analyse social surveys. It emphasises the links between theory and research, the logic and interpretation of statistics and the practices of social research. This sixth edition has been completely revised and updated, and contains new examples, data and extensive lists of web resources. As well as explaining how to conduct good surveys, de Vaus shows how to become a critical consumer of research. He argues that the logic of surveys and statistics is simply an extension of the logic we use in everyday life; analysis, however, requires creativity and imagination rather than the application of sterile mechanical procedures. The prime goal of research should be to gain accurate understanding and, as a researcher, use methods and techniques which enhance understanding. De Vaus advocates researchers use the method, rather than letting the method use you. Surveys in Social Research is essential reading for students and researchers working with surveys. It assumes no background in statistical analysis, and gives you the tools you need to come to grips with this often challenging field of work.

Bayesian Statistical Inference


Author: Gudmund R. Iversen
Publisher: SAGE
ISBN: 9780803923287
Category: Mathematics
Page: 80
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Empirical researchers, for whom Iversen's volume provides an introduction, have generally lacked a grounding in the methodology of Bayesian inference. As a result, applications are few. After outlining the limitations of classical statistical inference, the author proceeds through a simple example to explain Bayes' theorem and how it may overcome these limitations. Typical Bayesian applications are shown, together with the strengths and weaknesses of the Bayesian approach. This monograph thus serves as a companion volume for Henkel's Tests of Significance (QASS vol 4).

Approaches and Methodologies in the Social Sciences

A Pluralist Perspective
Author: Donatella Della Porta,Michael Keating
Publisher: Cambridge University Press
ISBN: 1139474596
Category: Political Science
Page: N.A
View: 2469

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A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.

Interpreting and Using Regression


Author: Christopher H. Achen
Publisher: SAGE Publications
ISBN: 145221011X
Category: Social Science
Page: 88
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Interpreting and Using Regression sets out the actual procedures researchers employ, places them in the framework of statistical theory, and shows how good research takes account both of statistical theory and real world demands. Achen builds a working philosophy of regression that goes well beyond the abstract, unrealistic treatment given in previous texts.

An Introduction to Statistical Learning

with Applications in R
Author: Gareth James,Daniela Witten,Trevor Hastie,Robert Tibshirani
Publisher: Springer Science & Business Media
ISBN: 1461471389
Category: Mathematics
Page: 426
View: 6563

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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

Interpersonal Communication

Evolving Interpersonal Relationships
Author: Pamela J. Kalbfleisch
Publisher: Psychology Press
ISBN: 1135443173
Category: Language Arts & Disciplines
Page: 312
View: 6634

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Interpersonal relationships are the core of our societal system and have been since before the dawn of civilization. In today's world, friends, lovers, companions, and confidants make valuable contributions to our everyday lives. These are the relationships whose members are not automatically participants as a result of their birth and kin affiliations. The focus is on these relationships that must be forged from the sometimes indifferent, and sometimes hostile world. Yet, there is still much that is not known about how these relationships evolve, how partners communicate in on-going relationships, how people keep their relationships together, and how they cope when they fall apart. Primary to the focus of this book is the underlying theme of evolving interpersonal relationships from the initial encounter to the mature alliance. The contributors to this volume provide a contemporary perspective for the study of interpersonal relationships. Fresh areas of scholarly inquiry are presented and existing approaches are re-examined. Research in the introductory chapters breaks new ground, and appraises the ultimate question of what impact initial interactions have on further relational development. The mid-section of the volume concerns communication issues that confront the members of a relationship in process, focusing on how conflict and jealousy are communicated to a relational partner. This research considers relational development as well as obstacles and barriers to evolving relationships. The concluding chapters probe the question: Ultimately do all good things have to come to an end? Employing innovative techniques to examine maturing and disengaging relationships, the research presented here focuses on how interpersonal relationships become committed and mature.

Processing Data

The Survey Example
Author: Linda B. Bourque,Virginia Clark
Publisher: SAGE
ISBN: 9780803947412
Category: Social Science
Page: 88
View: 340

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This volume highlights the theory that decisions made during the design of a data collection instrument influence the kind of data and the format of the data that are available for analysis. Opening with a discussion on the selection of the data collection technique(s) and how this impacts on data processing and the data for later analysis, the book covers key issues such as: should you create your own instrument for a questionnaire? how do you test a questionnaire? what are the characteristics of good data processing? how to deal with missing data? how to scale an evaluation and create subfiles for analysis? In addition, each major section concludes with examples and when appropriate, directs the reader to commonly available computer software that can aid in data processing.

The Health of Lesbian, Gay, Bisexual, and Transgender People

Building a Foundation for Better Understanding
Author: Institute of Medicine,Board on the Health of Select Populations,Committee on Lesbian, Gay, Bisexual, and Transgender Health Issues and Research Gaps and Opportunities
Publisher: National Academies Press
ISBN: 0309210658
Category: Medical
Page: 366
View: 3813

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At a time when lesbian, gay, bisexual, and transgender individuals--often referred to under the umbrella acronym LGBT--are becoming more visible in society and more socially acknowledged, clinicians and researchers are faced with incomplete information about their health status. While LGBT populations often are combined as a single entity for research and advocacy purposes, each is a distinct population group with its own specific health needs. Furthermore, the experiences of LGBT individuals are not uniform and are shaped by factors of race, ethnicity, socioeconomic status, geographical location, and age, any of which can have an effect on health-related concerns and needs. The Health of Lesbian, Gay, Bisexual, and Transgender People assesses the state of science on the health status of LGBT populations, identifies research gaps and opportunities, and outlines a research agenda for the National Institute of Health. The report examines the health status of these populations in three life stages: childhood and adolescence, early/middle adulthood, and later adulthood. At each life stage, the committee studied mental health, physical health, risks and protective factors, health services, and contextual influences. To advance understanding of the health needs of all LGBT individuals, the report finds that researchers need more data about the demographics of these populations, improved methods for collecting and analyzing data, and an increased participation of sexual and gender minorities in research. The Health of Lesbian, Gay, Bisexual, and Transgender People is a valuable resource for policymakers, federal agencies including the National Institute of Health (NIH), LGBT advocacy groups, clinicians, and service providers.

Content Analysis

An Introduction to Its Methodology
Author: Klaus Krippendorff
Publisher: SAGE Publications
ISBN: 1506395643
Category: Language Arts & Disciplines
Page: 472
View: 6008

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What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know? Since the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces you to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry. Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer you the most current techniques and research on content analysis, including new information on reliability and social media. You will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis.

Multidimensional Scaling


Author: Joseph B. Kruskal,Myron Wish
Publisher: SAGE Publications
ISBN: 1506320880
Category: Social Science
Page: 96
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Outlines a set of techniques that enable a researcher to discuss the "hidden structure" of large data bases. These techniques use proximities, measures which indicate how similar or different objects are, to find a configuration of points which reflects the structure in the data.

Monte Carlo Simulation


Author: Christopher Z. Mooney
Publisher: SAGE
ISBN: 9780803959439
Category: Education
Page: 103
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The author explains the logic behind the method and demonstrates its uses for social and behavioral research in: conducting inference using statistics with only weak mathematical theory; testing null hypotheses under a variety of plausible conditions; assessing the robustness of parametric inference to violations of its assumptions; assessing the quality of inferential methods; and comparing the properties of two or more estimators. In addition, Christopher Z Mooney carefully demonstrates how to prepare computer algorithms using GAUSS code and uses several research examples to demonstrate these principles. This volume will enable researchers to execute Monte Carlo Simulation effectively and to interpret the estimated sampling distribution generated from its use.