new statistical books

Ecological Inference (Quantitative Applications in the Social Sciences)
By Laura Irwin Langbein, Allan J. Lichtman


Publisher: Sage Publications, Inc
Number Of Pages: 72
Publication Date: 1978-01-01
ISBN-10 / ASIN: 0803909411
ISBN-13 / EAN: 9780803909410
Binding: Paperback


Product Description:

Explores the utility of techniques designed to make the inferences in causal modeling more reliable, including a comparison between ecological regression models and ecological correlation.

Chaos and Catastrophe Theories (Quantitative Applications in the Social Sciences)
By Courtney Brown


Publisher: Sage Publications, Inc
Number Of Pages: 88
Publication Date: 1995-06-28
ISBN-10 / ASIN: 0803958471
ISBN-13 / EAN: 9780803958470
Binding: Paperback


Product Description:

Chaos and catastrophe theories have become one of the major frontiers in the social sciences. Brown helps to clarify this complex new technique for modeling by approaching it with the following questions: What is Chaos? How can it be measured? How are the models estimated? What is catastrophe? How is it modeled? Beginning with an explanation of the differences between deterministic and probabilistic models, Brown introduces the reader to chaotic dynamics. Other topics covered are finding settings in which chaos can be measured, estimating chaos using nonlinear least squares, and specifying catastrophe models. Finally, the author estimates a nonlinear system of equations that models catastrophe using real survey data. Researchers wanting to understand and make use of this exciting new direction in social measurement and modeling will find this book an excellent and cogent introduction.

Logit Modeling: Practical Applications (Quantitative Applications in the Social Sciences)
By Alfred DeMaris


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1992-06-06
ISBN-10 / ASIN: 0803943776
ISBN-13 / EAN: 9780803943773
Binding: Paperback


Product Description:


Logit Modeling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical variables, especially when the measurement assumptions for classical multiple regression fail to be met. Taking an applied approach, DeMaris begins by describing the logit model in the context of the general loglinear model, moving its application from two-way to multidimensional tables. He then divides the rest of the book between an examination of the varieties of logit models for contingency tables and logistic regression. Throughout his coverage of both these major areas, DeMaris emphasizes interpretation of results. The book concludes with an extension of logistic regression to dependent variables with more than two categories. Logit Modeling is the perfect answer for those seeking a comprehensive guide for the entire range of logit models.

Measures of Association (Quantitative Applications in the Social Sciences)
By Albert M. Liebetrau


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1983-04-01
ISBN-10 / ASIN: 0803919743
ISBN-13 / EAN: 9780803919747
Binding: Paperback


Product Description:

Clearly reviews the properities of important contemporary measures of association and correlation. Devotes full chapters to measures for nominal, ordinal, and continuous data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals.

Loglinear Models with Latent Variables (Quantitative Applications in the Social Sciences)
By Jacques A. Hagenaars


Publisher: Sage Publications, Inc
Number Of Pages: 80
Publication Date: 1993-08-09
ISBN-10 / ASIN: 0803943105
ISBN-13 / EAN: 9780803943100
Binding: Paperback


Product Description:

"Sociologists with a quantitative bent will doubtless find it useful. . . . well-written, with a wealth of explanation. . ." --Dougal Hutchison in Educational Research "Loglinear Models with Latent Variables, by Jacques A. Hagenaars, is a timely contribution to the literature that serves to inform researchers of the richness of loglinear approaches to analyzing latent categorical variables. . . . The author provides a clear exposition of the loglinear model." --Scott L. Hershberger in Structural Equation Modeling Since the 1980s, the loglinear model has become the dominant form of categorical data analysis as researchers have expanded it into new directions. Jacques A. Hagenaars' book shows researchers the applications of one of these new developments--how uniting ordinary loglinear analysis and latent class analysis into a general loglinear model with latent variables can result in a modified LISREL approach. This modified LISREL model will enable researchers to analyze categorical data in the same way that they have been able to use LISREL to analyze continuous data. Beginning with an introduction to ordinary loglinear modeling and standard latent class analysis, Hagenaars explains the general principles of loglinear modeling with latent variables; the application of loglinear models with latent variables as a causal model, as well as a tool for the analysis of categorical longitudinal data; the strengths and limitations of this technique; and lastly, a summary of computer programs that are available for executing this technique.

Single-case and Small-n Experimental Designs: A Practical Guide To Randomization Tests
By John B. Todman, Pat Dugard


Publisher: Lawrence Erlbaum
Number Of Pages: 270
Publication Date: 2001-03-01
ISBN-10 / ASIN: 0805835547
ISBN-13 / EAN: 9780805835540
Binding: Hardcover


Product Description:

This book is a practical guide to help researchers draw valid causal inferences from small-scale clinical intervention studies. It should be of interest to teachers of, and students in, courses with an experimental clinical component, as well as clinical researchers.

Inferential statistics used in the analysis of group data are frequently invalid for use with data from single-case experimental designs. Even non-parametric rank tests provide, at best, approximate solutions for only some single-case (and small-n ) designs. Randomization (Exact) tests, on the other hand, can provide valid statistical analyses for all designs that incorporate a random procedure for assigning treatments to subjects or observation periods, including single-case designs. These Randomization tests require large numbers of data rearrangements and have been seldom used, partly because desktop computers have only recently become powerful enough to complete the analyses in a reasonable time. Now that the necessary computational power is available, they continue to be under-used because they receive scant attention in standard statistical texts for behavioral researchers and because available programs for running the analyses are relatively inaccessible to researchers with limited statistical or computing interest.

This book is first and foremost a practical guide, although it also presents the theoretical basis for Randomization tests. Its most important aim is to make these tests accessible to researchers for a wide range of designs. It does this by providing programs on CD-ROM that allow users to run analyses of their data within a standard package (Minitab, Excel, or SPSS) with which they are already familiar. No statistical or computing expertise is required to use these programs. This is the "new stats" for single-case and small-n intervention studies, and anyone interested in this research approach will benefit.

Event History Analysis : Regression for Longitudinal Event Data (Quantitative Applications in the Social Sciences)
By Paul D. Allison


Publisher: Sage Publications, Inc
Number Of Pages: 88
Publication Date: 1984-11-01
ISBN-10 / ASIN: 0803920555
ISBN-13 / EAN: 9780803920552
Binding: Paperback


Product Description:


Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events.

Allison shows why ordinary multiple regression is not suited to analysis of event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods -- illustrating each with detailed empirical examples -- that social scientists should find useful, and shows how even complex data structures can be investigated.

Game Theory: Concepts and Applications (Quantitative Applications in the Social Sciences)
By Frank C. Zagare


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1984-07-01
ISBN-10 / ASIN: 0803920504
ISBN-13 / EAN: 9780803920507
Binding: Paperback


Product Description:

A 'game' is any social situation involving two or more players in which the interests of both are interdependent. Underlying the structure of game theory is an assumption of 'rationality', i.e. that players act to produce the best possible outcome for themselves. These concepts now pervade much of social science, but many people remain unconvinced or lack the skills to adapt the models to their studies.


Professor Zagare aims to "convert the unconverted and initiate the uninitiated" through his comprehensive exposition of game theory and its applications. He provides methods for analysing the structure of the game; considers zero and nonzero-sum games and the fundamental 'minimax theorem'; and investigates games with more than two players, including the possibility of coalitions between players.


Examples drawn from diverse settings give the reader an idea of how the theory can be applied to a wide range of situations involving a conflict of interest.

Nonparametric Simple Regression: Smoothing Scatterplots (Quantitative Applications in the Social Sciences)
By John Fox


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 2000-01-20
ISBN-10 / ASIN: 0761915850
ISBN-13 / EAN: 9780761915850
Binding: Paperback


Product Description:

John Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.

Three Way Scaling: A Guide to Multidimensional Scaling and Clustering (Quantitative Applications in the Social Sciences)
By Phipps Arabie, Douglas Carroll, Wayne S. DeSarbo


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1987-07-01
ISBN-10 / ASIN: 0803930682
ISBN-13 / EAN: 9780803930681
Binding: Paperback


Product Description:

Three Way Scaling assumes a working knowledge of multidimensional scaling and matrix algebra, which are both introduced in earlier volumes of this series -- Multidimensional Scaling and Matrix Algebra.


Arabie, Carroll and DeSarbo begin their discussion with an example of the use of the INDSCAL model, they explain the model and give a second extended example. The authors then present a detailed analysis of SINDSCAL and provide an introduction to three-way scaling models as well as individual differences clustering models.

Analysis of Nominal Data (Quantitative Applications in the Social Sciences)
By H . T. Reynolds


Publisher: Sage Publications, Inc
Number Of Pages: 88
Publication Date: 1984-07-01
ISBN-10 / ASIN: 0803906536
ISBN-13 / EAN: 9780803906532
Binding: Paperback


Product Description:

The updated second edition offers expanded discussions of the chi square test of significance and the potential measures of association available for use with categoric data. Reviewing basic techniques in analysis of nominal data, this paper employs survey research data on party identification and ideologies to indicate which measures and tests are most appropriate for particular theoretical concerns. This book serves as an ideal primer for Volume 20, Log-Linear Models.

Contextual Analysis (Quantitative Applications in the Social Sciences)
By Gudmund R. Iversen


Publisher: Sage Publications, Inc
Number Of Pages: 84
Publication Date: 1991-08-14
ISBN-10 / ASIN: 0803942729
ISBN-13 / EAN: 9780803942721
Binding: Paperback


Product Description:

Contextual analysis, the study of the role of the group context on actions and attitudes of individuals, has been a useful technique in the study of education, neighbourhoods, census tracts, election districts, and the family. However, the effective use of contextual analysis has involved overcoming a number of issues, such as group boundaries, the mobility of the individuals within a group, overlapping groups, missing individual data, and the choice of statistical models. Contextual Analysis offers researchers a guide for selecting the best model to use. Written in a clear, straight forward style, the book explores such topics as contextual analysis with absolute effects, with relative effects, and the choice between regression coefficients as fixed parameters or as random variables.

Social Choice: Theory and Research (Quantitative Applications in the Social Sciences)
By Paul E. Johnson


Publisher: Sage Publications, Inc
Number Of Pages: 120
Publication Date: 1998-06-25
ISBN-10 / ASIN: 0761914064
ISBN-13 / EAN: 9780761914068
Binding: Paperback


Product Description:

Author Paul E. Johnson introduces researchers to the key questions, concepts, terminology, methods, and results of social choice theory, a method of aggregating individualÆs preferences into societal preferences (such as voting). By presenting technical details from the ôground up,ö Johnson first introduces readers to the effects that decision-making procedures have on social choice. He next explains the idea of a social preference function, a rule that is used to take into account individuals, preferences when creating social ordering. He explores the basics and implications of ArrowÆs possibility theorem and the implications and applications of the uni-dimensional spatial model. Social Choice: Theory and Research concludes with an investigation of the multidimensional spatial model and an exploration of the instability of majority rule, including a discussion of chaos theory. Students in political theory, public choice, and public finance will find Social Choice: Theory and Research a comprehensible introduction to social choice theory. Researchers interested in decision-making difficulties in government, international organizations, and corporations will find this a handy reference for their studies.

The Logic Of Causal Order
By James A. Davis


Publisher: Sage Publications, Inc
Number Of Pages: 72
Publication Date: 1985-11-01
ISBN-10 / ASIN: 0803925530
ISBN-13 / EAN: 9780803925533
Binding: Paperback


Product Description:


This monograph is not statistical in the sense of developing specific statistical tools. It looks instead at pre-statistical assumptions about dependent variables and the causal order governing them.

Professor Davis spells out the logical principles that underlie our ideas of causality and explains how a practical researcher can discover causal direction, irrespective of the statistical technique used. He stresses that knowledge of the "real world" is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.

He shows researchers how to think through the unstated reasons that lead them to choose their variable order and introduces the notion of a causal system. This system of indirect effects, causally spurious effects, and signed effects provides a rich and exact tool for discussing the fascinating and complex subject of causation.

Cohort Analysis (Quantitative Applications in the Social Sciences)
By Norval D. Glenn


Publisher: Sage Publications, Inc
Number Of Pages: 72
Publication Date: 1977-04-01
ISBN-10 / ASIN: 080390794X
ISBN-13 / EAN: 9780803907942
Binding: Paperback


Product Description:

A method for studying changes in group patterns,--particularly groups based on age--cohort analysis seeks to isolate changes attributable to alterations in behavior or attitudes within an age group. A highly flexible tool, cohort analysis presupposes minimal background in data analysis.\

Dynamic Modeling: An Introduction (Quantitative Applications in the Social Sciences)
By R . Robert Huckfeldt, Carol W. Kohfeld, Thomas W. Likens


Publisher: Sage Publications, Inc
Number Of Pages: 95
Publication Date: 1982-10-01
ISBN-10 / ASIN: 0803909462
ISBN-13 / EAN: 9780803909465
Binding: Paperback


Product Description:

Outlines the theory behind, and techniques for, using dynamic modeling, taking the reader through a series of increasingly complex models. At each step, examples are used to claify applications of different equation models.



Summary: helpful introduction to subject
Rating: 4

Helpful introduction- takes time to work through examples and math but good start for a very useful application tool. Recommend those interested in subject include this in their library of references. Covers subject better than some of the others in this series.
link

Test Item Bias (Quantitative Applications in the Social Sciences)
By Steven J. Osterlind


Publisher: Sage Publications, Inc
Number Of Pages: 88
Publication Date: 1983-04-01
ISBN-10 / ASIN: 0803919891
ISBN-13 / EAN: 9780803919891
Binding: Paperback


Product Description:

Steven J. Osterlind discusses five strategies for detecting bias: analysis of variance, transformed item difficulties, chi square, item characteristic curve, and distractor response.

Multiple Comparisons (Quantitative Applications in the Social Sciences)
By Alan J. Klockars, Gilbert Sax


Publisher: Sage Publications, Inc
Number Of Pages: 88
Publication Date: 1986-09-01
ISBN-10 / ASIN: 0803920512
ISBN-13 / EAN: 9780803920514
Binding: Paperback


Product Description:

Multiple Comparisons demonstrates the most important methods of investigating differences between levels of an independent variable within an experimental design. The authors review the analysis of variance and hypothesis testing and describe the dimensions on which multiple comparisons vary.


Chapters consider methods by which: the basic questions are determined before data is collected; post hoc comparisons involving pairs of means are made; and post hoc comparisons of combinations of groups are carried out. These methods are then applied to factorial designs with particular attention to testing comparisons of interaction. A final chapter considers issues regarding sample size and violations of assumptions.


The use made of a famous experiment by Solomon Asch on group conformity is featured. The authors demonstrate the statistical power of each method against this one experimental question.

Interaction Effects in Factorial Analysis of Variance (Quantitative Applications in the Social Sciences)
By James J. Jaccard


Publisher: Sage Publications, Inc
Number Of Pages: 111
Publication Date: 1997-12-08
ISBN-10 / ASIN: 0761912215
ISBN-13 / EAN: 9780761912217
Binding: Paperback


Product Description:

Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the technique's most powerful feature - the evaluation of interaction effects. Written to remedy this situation, this book explores the issues underlying the effective analysis of interaction in factorial designs.


The author begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, it then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches.

Analysis of Ordinal Data (Quantitative Applications in the Social Sciences)
By David K. Hildebrand, James D. Laing, Howard Rosenthal


Publisher: Sage Publications, Inc
Number Of Pages: 80
Publication Date: 1977-05-01
ISBN-10 / ASIN: 0803907958
ISBN-13 / EAN: 9780803907959
Binding: Paperback


Product Description:

This monograph indicates how such data can best be analyzed. It is important because it applies a conceptual scheme recently developed by the authors-prediction analysis-to ordinal data.

Network Analysis (Quantitative Applications in the Social Sciences)
By David Knoke, James H. Kuklinski


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1982-10-01
ISBN-10 / ASIN: 080391914X
ISBN-13 / EAN: 9780803919143
Binding: Paperback


Product Description:

The authors, David Knoke and James H. Kuklinski, systematically inventory the central features of network analysis techniques, cite original sources to be consulted for greater detail, and suggest diverse applications in social science research.

Interrupted Time Series Analysis (Quantitative Applications in the Social Sciences)
By David McDowall, Richard McCleary, Errol Meidinger, Richard A., Jr. Hay


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1980-08-01
ISBN-10 / ASIN: 0803914938
ISBN-13 / EAN: 9780803914933
Binding: Paperback


Product Description:

Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.

Sorting Data: Collection and Analysis (Quantitative Applications in the Social Sciences)
By A . P M Coxon


Publisher: Sage Publications, Inc
Number Of Pages: 104
Publication Date: 1999-07-08
ISBN-10 / ASIN: 0803972377
ISBN-13 / EAN: 9780803972377
Binding: Paperback


Product Description:

If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses specification elaboration, and sampling of the "domain" or what is to be sorted. There is also help on setting the criterion, the pre-test, administration, and recording of results. The author gives special consideration to problems of categorization illustrated with a real research example.

Multidimensional Scaling (Quantitative Applications in the Social Sciences)
By Joseph B. Kruskal, Myron Wish


Publisher: Sage Publications, Inc
Number Of Pages: 96
Publication Date: 1978-01-01
ISBN-10 / ASIN: 0803909403
ISBN-13 / EAN: 9780803909403
Binding: Paperback


Product Description:



Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.