Research

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,...

This short monograph lays out the theory behind, and techniques for, using dynamic modelling, taking the reader through a series of increasingly complex models. At each step, examples are used to explain the process, and also to clarify specific...

An advanced study which presumes a knowledge of multiple regression and factor analysis techniques, this paper considers two techniques for comparing entire sets of data, and develops the canonical correlation model as an extension of regression analysis...

A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on to recursive and non-recursive path estimation. Special...

Discusses basic concepts and methods associated with the application of operations research toward arriving at an optimum mix, level, or choice.Book InformationISBN 9780803906518Author Stuart S. NagelFormat PaperbackPage Count 80Imprint SAGE Publications...

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...

A compilation of major articles concerned with qualitative health research, this volume explores research assumptions, research synthesis, phenomenology, ethnography, ethnoscience, grounded theory and semi-structured questionnaires. All the articles...

The techniques of analytic mapping and of geographic information systems (GIS) have become increasingly important tools for analyzing census, crime, environmental and consumer data. The authors of this significant volume discuss data access,...

This paper considers the possible effects of making inferences about individuals from aggregate data. It assumes a knowledge of regression analysis, and explores the utility of techniques designed to make the inferences in causal modelling more reliable,...

Students and researchers who want to improve the quality of their mail-survey data collection will find this book invaluable. The author considers such issues as: reducing sampling bias; questioning response errors; and obtaining good response rates from...

In this book, Kraemer presents a systematic, objective methodology by which to determine the effectiveness of medical tests. She shows clearly and concisely how to define statistical terms and approaches consistently from study to study, how to stipulate...

This indispensable tool for proposal writers, research students and project coordinators involved in large-scale data collection offers practical information on managing research projects. The book places emphasis on: applying good standards for data...

By emphasizing how to think strategically about a research project, the author of this innovative book shows readers the important steps of a scientific study - from the formulation of the study to the write-up of results. Illustrative examples from the...

What log-linear models can social scientists use to examine categorical variables whose attributes may be logically rank-ordered? In this book, the author presents a technique that is often overlooked but highly advantageous when dealing with such...

In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: ways to specify the network contents to be...

The answers to questions on a wide variety of social and political issues from more than 25,000 respondents are contained in the General Social Survey (GSS) data base. The authors, who have directed the GSS since its inception, have set out to enable...

How can social scientists assess the reliability of the measures derived from tests and questionnaires? Through an illustrative review of the principles of classical reliability theory, Ross E Traub explores some general strategies for improving...

The effective use of contextual analysis - the study of the role of group context on actions and attitudes of individuals - often involves overcoming a number of issues such as group boundaries, the mobility of individuals within a group, overlapping...

Qualitative Nursing Research addresses many of the problematic issues in qualitative research. Leading qualitative methodologists from orientations in phenomenology, grounded theory and ethnography contribute chapters on their favourite issues, which...

Aimed at aiding researchers to improve their data's quality, Computer-Assisted Interviewing helps readers identify the possibilities and difficulties which arise in computer-assisted interviewing. The author annotates samples of actual research...

The answers to questions on a wide variety of social and political issues from more than 25,000 respondents are contained in the General Social Survey (GSS) data base. The authors, who have directed the GSS since its inception, have set out to enable...

This book introduces the process of expert systems development as a model for acquiring, representing and validating knowledge about relatively limited domains. Many examples derive from the authors' own development experiences in the social sciences,...

Through the use of actual research investigations that have appeared in recent social science journals, Gibbons shows the reader the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods that...

Now in paperback, this volume summarizes, compares and contrasts the work of seven major theorists of programme evaluation. The authors develop a conceptual framework against which specific criteria of certain theories can be tested. They present the...

What quality control methods can be used most effectively to structure and monitor interviews and convert refusals? What telephone numbers should be used in random digit dialling? How can eligible respondents be chosen and their cooperation secured?...

Why do we have evaluation? Is evaluation a discipline? How much impact does evaluation have on government, education or politics? Can social problems, such as poverty, be solved by the application of resources and intelligence? By exploring how...

In this volume, Shavelson and Webb offer an intuitive development of generalizability theory and cover a wide variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability...

Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The...

To help the researcher understand why and how children react to adults who are doing ethnographic research, Fine and Sandstrom explore the methodological and ethical problems of qualitative research with minors. They correct numerous fallacies held by...

This volume provides a basic framework for using visual data - namely still photographs - as a tool for social analysis. The authors determine the importance of theoretical assumptions in analyzing these data and provide advice on how to use photographs...

This book examines how and why autonomy matters in contemporary social science research. It considers how autonomy impacts upon the individual researcher, the cultures and values of the university, and research motivation and sponsorship. The authors...

Focusing particularly upon normative social action, this text is divided into five sections, each with a theme. The first section deals with collective memory with a study of German collective memory. This central theme is explored through examinations...

This is the tenth volume in a series discussing research on occupations and professions. Topics covered in this title include: rural Chinese household workers in Beijing; immigration, tradition, community and gender; the professionalization of real...

This volume illustrates the breadth of questions and approaches that are amenable to qualitative research. The works have both theoretical relevance and pragmatic significance, holding important implications for organizational scholars and practitioners...

This book introduces and the new computer-based research methods for studying and modeling complex social phenomena. It is the first coherent collection that surveys the impact that computer-based methods have had on the social and behavioural sciences...

This book introduces evaluation by focusing on the main kinds of `big picture' questions that evaluations usually need to answer, and how the nature of such questions are linked to evaluation methodology choices. The author: shows how to identify the...

This annual publication is devoted to the advancement of ethics research and education in the profession and practice of accounting. It aims to advance innovative and applied ethics research in all accounting-related disciplines on a global basis and to...

`[This is] a book that addresses some of the overlooked, taken-for-granted aspects involved with the planning, conducting, and reporting of good evaluation. This book helps evaluators improve the utilization of evaluation results by using an ongoing,...

The Internet has emerged as a popular medium for collecting data because of its ability to access millions of users, facilitate an array of research designs, and efficiently deliver and compile questionnaires. Often forgotten amidst this growing...

`This is a book that should be on the desk of anyone truly concerned with reliability. The whole question of conditional reliabilities is current and important; and, the question of reliability generalization is being opened out and moving away from...