contemporary psychometrics multivariate applications series

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Contemporary Psychometrics

Author : Albert Maydeu-Olivares
ISBN : 9781135623166
Genre : Education
File Size : 31. 16 MB
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Contemporary Psychometrics features cutting edge chapters organized in four sections: test theory, factor analysis, structural equation modeling, and multivariate analysis. The section on test theory includes topics such as multidimensional item response theory (IRT), the relationship between IRT and factor analysis, estimation and testing of these models, and basic measurement issues that are often neglected. The factor analysis section reviews the history and development of the model, factorial invariance and factor analysis indeterminacy, and Bayesian inference for factor scores and parameter estimates. The section on structural equation modeling (SEM) includes the general algebraic-graphic rules for latent variable SEM, a survey of goodness of fit assessment, SEM resampling methods, a discussion of how to compare correlations between and within independent samples, dynamic factor models based on ARMA time series models, and multi-level factor analysis models for continuous and discrete data. The final section on multivariate analysis includes topics such as dual scaling of ordinal data, model specification and missing data problems in time series models, and a discussion of the themes that run through all multivariate methods. This tour de force through contemporary psychometrics will appeal to advanced students and researchers in the social and behavioral sciences and education, as well as methodologists from other disciplines.

A Paul Meehl Reader

Author : Niels G. Waller
ISBN : 9781134812141
Genre : Psychology
File Size : 32. 57 MB
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This new book introduces a new generation to the important insights of Paul Meehl. In addition to selected papers from the classic reader, Psychodiagnosis, this book features new material selected from Meehl's most influential writings. The resulting collection is a tour de force illustrating quantitative analysis of life science problems, an examination of the inadequacy of some methods of analysis, and a review of the application of taxometrics. A Paul Meehl Reader is organized into five content areas: theory building and appraisal - how we discover and test the true causal relations of psychological constructs; specific etiology - an examination of genetic, behavioral, and environmental etiology in psychopathology; diagnosis and prediction - a review of the appropriate use of base rates; taxometrics - a look at Meehl's development of the method he invented; thinking effectively about psychological questions - a critique of correlation research and the power of quantitative thinking in psychology. The Reader features section introductions to orient the reader and provide a context and structure for Paul Meehl's work. The section on diagnosis and prediction features problem sets with solutions to guide the reader through practical applications of the principles described. An accompanying DVD contains footage from Paul Meehl's engaging seminar on clinical versus statistical prediction. This book appeals to advanced students and professionals in psychology, sociology, law, education, human development, and philosophy.

Handbook Of Ethics In Quantitative Methodology

Author : Sonya K. Sterba
ISBN : 9781136888731
Genre : BUSINESS & ECONOMICS
File Size : 66. 15 MB
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"Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers' approach to data analysis are examined in Part 4 - when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process.

Structural Equation Modeling With Mplus

Author : Barbara M. Byrne
ISBN : 9781136663468
Genre : Education
File Size : 90. 58 MB
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"This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program"--Provided by publisher.

Longitudinal Data Analysis

Author : Jason Newsom
ISBN : 9781136705472
Genre : Psychology
File Size : 70. 43 MB
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First Published in 2012. Routledge is an imprint of Taylor & Francis, an informa company.

Modern Psychometrics With R

Author : Patrick Mair
ISBN : 9783319931777
Genre : Mathematical statistics
File Size : 31. 8 MB
Format : PDF
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This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.--

Applied Data Analytic Techniques For Turning Points Research

Author : Patricia Cohen
ISBN : STANFORD:36105124033411
Genre : Mathematics
File Size : 76. 97 MB
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This innovative volume demonstrates the use of a range of statistical approaches that examine "turning points" (a change in direction, magnitude, or meaning) in real data. Analytic techniques are illustrated with real longitudinal data from a variety of fields. As such the book will appeal to a variety of researchers including:· Developmental researchers interested in identifying factors precipitating turning points at various life stages.· Medical or substance abuse researchers looking for turning points in disease or recovery.· Social researchers interested in estimating the effects of life experiences on subsequent behavioral changes.· Interpersonal behavior researchers looking to identify turning points in relationships.· Brain researchers needing to discriminate the onset of an experimentally produced process in a participant.The book opens with the goals and theoretical considerations in defining turning points. An overview of the methods presented in subsequent chapters is then provided. Chapter goals include discriminating "local" from long-term effects, identifying variables altering the connection between trajectories at different life stages, locating non-normative turning points, coping with practical distributional problems in trajectory analyses, and changes in the meaning and connections between variables in the transition to adulthood. From an applied perspective, the book explores such topics as antisocial/aggressive trajectories at different life stages, the impact of imprisonment on criminal behavior, family contact trajectories in the transition to adulthood, sustained effects of substance abuse, alternative models of bereavement, and identifying brain changes associated with the onset of a new brain process.Ideal for advanced students and researchers interested in identifying significant change in data in a variety of fields including psychology, medicine, education, political science, criminology, and sociology.

Item Response Theory

Author : Susan E. Embretson
ISBN : 9781135681470
Genre : Psychology
File Size : 23. 63 MB
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This book develops an intuitive understanding of IRT principles through the use of graphical displays and analogies to familiar psychological principles. It surveys contemporary IRT models, estimation methods, and computer programs. Polytomous IRT models are given central coverage since many psychological tests use rating scales. Ideal for clinical, industrial, counseling, educational, and behavioral medicine professionals and students familiar with classical testing principles, exposure to material covered in first-year graduate statistics courses is helpful. All symbols and equations are thoroughly explained verbally and graphically.

Dynamic Process Methodology In The Social And Developmental Sciences

Author : Jaan Valsiner
ISBN : 038795922X
Genre : Psychology
File Size : 45. 37 MB
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All psychological processes—like biological and social ones—are dynamic. Phenomena of nature, society, and the human psyche are context bound, constantly changing, and variable. This feature of reality is often not recognized in the social sciences where we operate with averaged data and with homogeneous stereotypes, and consider our consistency to be the cornerstone of rational being. Yet we are all inconsistent in our actions within a day, or from, one day to the next, and much of such inconsistency is of positive value for our survival and development. Our inconsistent behaviors and thoughts may appear chaotic, yet there is generality within this highly variable dynamic. The task of scientific methodologies—qualitative and quantitative—is to find out what that generality is. It is the aim of this handbook to bring into one framework various directions of construction of methodology of the dynamic processes that exist in the social sciences at the beginning of the 21st century. This handbook is set up to bring together pertinent methodological scholarship from all over the world, and equally from the quantitative and qualitative orientations to methodology. In addition to consolidating the pertinent knowledge base for the purposes of its further growth, this book serves the major educational role of bringing practitioners—students, researchers, and professionals interested in applications—the state of the art know-how about how to think about extracting evidence from single cases, and about the formal mathematical-statistical tools to use for these purposes.

Introduction To Statistical Mediation Analysis

Author : David Peter MacKinnon
ISBN : 0805839747
Genre : Mathematics
File Size : 76. 40 MB
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This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology.The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediationanalysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

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