"A user-friendly introduction to the powerful mental mapping tool of repertory grid technique."

Repertory grid technique is a system for identifying, in detail, what you or anyone else really thinks about an issue. You can use it as a tool for personal discovery, as a device for team building activities, or as a problem-solving aid.

Written as a DIY guide, with a friendly expert sitting beside you, this book will teach you the technique of repertory grids step by step. Here you'll find all the information you need, alongside lots of worked examples and helpful exercises that you can use to check your understanding. The answers are in the back! If you want additional practice and resources a website that supports this book can be found at www.wiley.co.uk/easyguide

Professor Devi Jankowicz is one of the leading authorities on occupational applications of personal construct theory and repertory grid technique. He has written this guide for psychology students and researchers; education students; personnel practitioners; as well as managers in the workplace.

'This book's title may seem a contradiction in terms to readers who have seen the repertory grid as dauntingly complex. However, the book lives up to its title in being a very user-friendly introduction to the technique, written in a chatty style, and including numerous practical exercises, mostly not requiring use of computer software,""'

David Winter "University of Hertfordshire and Barnet, Enfield and Haringey Mental Health NHS Trust"

Quickly acquire the knowledge and skills you need to confidently administer, score, and interpret the NEPSY(R)-II

The NEPSY(R)-II is widely used by school psychologists, neuropsychologists, and research psychologists to assess children, ages three to sixteen, with neurological disorders and developmental disabilities and to develop effective intervention strategies. It provides comprehensive assessment over six functional domains: Attention/Executive Functioning, Language, Sensorimotor Functions, Visuospatial Processing, Memory and Learning, and Social Perception. Professionals need an authoritative source of advice and guidance on how to administer, score, and interpret the test to use it properly. Coauthored by two of the creators of the NEPSY(R)-II, "Essentials of NEPSY(R)-II Assessment" is that source.

Like all the volumes in the "Essentials of Psychological Assessment" series, this book is designed to help busy mental health professionals, and those in training, quickly acquire the knowledge and skills they need to make optimal use of major psychological assessment instruments. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as test questions that help you gauge and reinforce your grasp of the information covered.

"Essentials of NEPSY"(R)"-II Assessment" includes vital information about the NEPSY(R)-II, including the advantage of being able to assess a child across functions and modalities. The authors provide step-by-step guidance on test administration, scoring, and interpretation and valuable advice on its clinical applications. Expert assessment of the test's relative strengths and weaknesses is also provided in a chapter contributed by Stephen R. Hooper.

Other titles in the "Essentials of Psychological Assessment" series:

Essentials of Assessment Report Writing

Essentials of School Neurosychological Assessment

Essentials of Evidence-Based Academic Interventions

Essentials of Response to Intervention

Essentials of Processing Assessment

Essentials of Conners Behavior AssessmentsTM

Essentials of Cross-Battery Assessment, Second Edition

Essentials of WISC(R)-IV Assessment, Second Edition

This book brings together psychometric, cognitive science, policy, and content domain perspectives on new approaches to educational assessment -- in particular, constructed response, performance testing, and portfolio assessment. These new assessment approaches -- a full range of alternatives to traditional multiple-choice tests -- are useful in all types of large-scale testing programs, including educational admissions, school accountability, and placement. This book's multi-disciplinary perspective identifies the potential advantages and pitfalls of these new assessment forms, as well as the critical research questions that must be addressed if these assessment methods are to benefit education.

For those who teach students in psychology, education, and the social sciences, the Handbook of Demonstrations and Activities in the Teaching of Psychology, Second Edition provides practical applications and rich sources of ideas. Revised to include a wealth of new material (56% of the articles are new), these invaluable reference books contain the collective experience of teachers who have successfully dealt with students' difficulty in mastering important concepts about human behavior. Each volume features a table that lists the articles and identifies the primary and secondary courses in which readers can use each demonstration. Additionally, the subject index facilitates retrieval of articles according to topical headings, and the appendix notes the source as it originally appeared in Teaching of Psychology, the official journal of the Society for the Teaching of Psychology, Division Two of the American Psychological Association. Volume I consists of 97 articles about strategies for teaching introductory psychology, statistics, research methods, and the history of psychology classes. Divided into four sections (one for each specialty), the book suggests ways to stimulate interest, promote participation, grasp psychological terminology, and master necessary scientific skills.

In this landmark book, David Scharff and Jill Savege Scharff, both psychoanalysts, develop a way of thinking about and working with the couple as a small group of two, held together as a tightly knit system by a commitment that is powerfully reinforced by the bond of mutual sexual pleasure.

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.

This unusual book was written to provide a glimpse into the inner "Rorschach" world of individuals -- psychology students in training -- representing the basic Rorschach subtypes. The Rorschach records of these graduate students in clinical psychology are presented along with their own interpretations and analyses of their records. In short, The Inside Story offers both a new approach to learning projective diagnostic methods such as the Rorschach and a new experience in the adventure of self-understanding.

This outstanding presentation of the fundamentals of multidimensional scaling illustrates the applicability of MDS to a wide variety of disciplines. The first two sections provide ground work in the history and theory of MDS. The final section applies MDS techniques to such diverse fields as physics, marketing, and political science.

This classic volume outlines, for both students and professionals, the mathematical theories and equations that are necessary for evaluating a test and for quantifying its characteristics. The author utilizes formulas that evaluate both the reliability and the validity of tests. He also provides the means for evaluating the reliability and validity of total test scores and individual item analysis. The work remains one of the only books on classical test theory to discuss applications, "true score" theory, the effect of test length on reliability and validity, and the effects of univariate and multivariate selection on validity.

First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

The crux of the debate between proponents of behavioral psychology and cognitive psychology focuses on the issue of accessibility. Cognitivists believe that mental mechanisms and processes are accessible, and that their inner workings can be inferred from experimental observations of behavior. Behaviorists, on the contrary, believe that mental processes and mechanisms are inaccessible, and that nothing important about them can be inferred from even the most cleverly designed empirical studies. One argument that is repeatedly raised by cognitivists is that even though mental processes are not directly accessible, this should not be a barrier to unravelling the nature of the inner mental processes and mechanisms. Inference works for other sciences, such as physics, so why not psychology? If physics can work so successfully with their kind of inaccessibility to make enormous theoretical progress, then why not psychology? As with most previous psychological debates, there is no "killer argument" that can provide an unambiguous resolution. In its absence, author William Uttal explores the differing properties of physical and psychological time, space, and mathematics before coming to the conclusion that there are major discrepancies between the properties of the respective subject matters that make the analogy of comparable inaccessibilities a false one.

First published in 1993. This book is intended for managers and occupational psychologists involved in the selection and assessment of the workforce. It details the history and development of the use of biographical data for both recruitment and promotion of employees. Grounded in relevant research literature, it offers a comprehensive analysis of the advantages and disadvantages of biodata in different contexts. It also includes examples of applications and recommendations for use, as well as examples of questionnaires. Written by experts, it represents a wide-ranging review of the contemporary research in the field. This work will be of interest to students of business and psychology.

Scaling Methods is written for professionals in the behavioral sciences who analyze data that results from subjective responses. Other books on scaling attitudes or measuring perceptions focus on the psychometrician's view of measurement. This book focuses on the users' view by concentrating on effective ways to analyze data rather than the mathematical details of how each program works. The methods included handle the majority of data analysis problems encountered and are accompanied by a software solution. Each chapter features the theory surrounding that methodology, an example, a real-world application, and a computer solution. This book introduces the major uni- and multi-dimensional scaling method techniques most common in educational, social, and psychological research. Using four primary methods of data collection--ordering, categorical rating, free clustering, and similarity judgments--Scaling Methods, Second Edition explains how such data can be represented in ways that illustrate relationships among the data and help reveal underlying dimensional structures. Each method serves as an independent unit so readers can pick and choose from a variety of easy-to-use procedures and more advanced techniques. The new edition features a new chapter on order analysis and downloadable resources that provide stand-alone, as well as SAS supported demonstrations of multi-dimensional scaling techniques, plus programs to get raw data into matrix form. The text is written for researchers, practitioners, and advanced students in education and the social and behavioral sciences interested in analyzing data resulting from subjective responses, especially in the measurement of attitudes. Each chapter is self-contained making this an excellent resource for use in the classroom or as a self-study tool. A first course in statistics is a helpful prerequisite.

What are the changes we see over the life-span? How can we explain them? And how do we account for individual differences? This volume continues to examine these questions and to report advances in empirical research within life-span development increasing its interdisciplinary nature. The relationships between individual development, social context, and historical change are salient issues discussed in this volume, as are nonnormative and atypical events contributing to life-span change.

This second edition presents the core fundamentals of the subject in 11 manageable chapters while maintaining the book's scientific integrity. The research methods students need to understand, interpret, and analyze social psychological research are emphasized throughout. The streamlined approach provides an economical textbook for students and a flexible format that allows instructors to cover the entire book in a single semester. A book specific Web site contains a free online study guide and a variety of teaching tools. An Instructor's Manual/Test Bank and a Computerized Test Bank are also available.

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design). Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by downloadable resources with all of the book's data sets, as well as exercises for each chapter. This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.

Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this Seventh Edition is also an ideal refresher for graduate students who have already taken a statistics course. Designed for students who may struggle with mathematical concepts, its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor to encourage students from all backgrounds to the study of statistics.

The first of two volumes in the Advances in Child Development and Behavior series, Equity and Justice in Developmental Science: Theoretical and Methodological Issues focuses on conceptual issues, definitions, and critical concepts relevant to equity and justice for the developmental sciences. This volume covers critical methodological issues that serve to either challenge or advance our understanding of, and ability to promote, equity and justice in the developmental sciences. Both volumes bring together a growing body of developmental scholarship that addresses how issues relevant to equity and justice (or their opposites) affect development and developmental outcomes, as well as scholarship focused on mitigating the developmental consequences of inequity, inequality, and injustice for young people, families, and communities and ensuring that all young people have opportunities to develop and thrive.

The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient. Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.

This book presents a framework for development, optimization, and evaluation of behavioral, biobehavioral, and biomedical interventions. Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This volume introduces the multiphase optimization strategy (MOST), pioneered at The Methodology Center at the Pennsylvania State University, as an alternative to the classical approach of relying solely on the randomized controlled trial (RCT). MOST borrows heavily from perspectives taken and approaches used in engineering, and also integrates concepts from statistics and behavioral science, including the RCT. As described in detail in this book, MOST consists of three phases: preparation, in which the conceptual model underlying the intervention is articulated; optimization, in which experimentation is used to gather the information necessary to identify the optimized intervention; and evaluation, in which the optimized intervention is evaluated in a standard RCT. Through numerous examples, the book demonstrates that MOST can be used to develop interventions that are more effective, efficient, economical, and scalable. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy is the first book to present a comprehensive introduction to MOST. It will be an essential resource for behavioral, biobehavioral, and biomedical scientists; statisticians, biostatisticians, and analysts working in epidemiology and public health; and graduate-level courses in development and evaluation of interventions.

Written for graduate level students in advanced statistics, this handbook offers a comprehensive and practical overview of path analysis. A User's Guide to Path Analysis contains: * Definition and graphical illustrations of basic terms and concepts * Illustration of causal diagrams with emphasis on variable positioning, path symbols, error terms, missing arrows, and feedback loops * In-depth discussion of assumptions underlying path analysis * Discussion of causal model estimation with illustrations * Practical research questions for interpreting a path model * Instructions on how to read a path diagram, and how to use the SPSS computer program and interpret the results * Suggestions for what to include when writing up or interpreting findings

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.

Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this Seventh Edition is also an ideal refresher for graduate students who have already taken a statistics course. Designed for students who may struggle with mathematical concepts, its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor to encourage students from all backgrounds to the study of statistics.