Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. "

Written for non-mathematically-oriented readers, this text features:

• "
• A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
• An emphasis on how the terminology, interpretation, and estimation" "of familiar general linear models relates to those of more complex models for longitudinal data
• Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process
• Sample results sections for each example to provide useful templates for published reports
• Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M"plus" at www.PilesOfVariance.com to help readers apply the models to their own data

The book opens with the building blocks of longitudinal analysis general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces "unconditional "longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. "Conditional "longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text."

Presenting a new frame of reference, the author argues that Freud's theories are not the result of his genius alone but were developed in exchange with colleagues and students, which is not always apparent at first glance. Replete with examples, the author reconstructs who the theories were addressed to and the discursive context they originally belonged to, thus presenting fresh and surprising readings of Freud's oeuvre. The book also offers a glimpse into Freud's practice. For the first time, Freud's patient record books which he kept for ten years, are being reviewed, offering readers the hard facts about the length and frequency of Freud's analyses.

Offers a practical introduction to regression modeling with spatial and spatial-temporal data relevant to research and teaching in the social and economic sciences Focuses on a few key datasets and data analysis using the open source software WinBUGS, R, and GeoDa Provides data and programming codes to allow users to undertake their own analyses Ends each chapter with a set of short exercises and questions for further study

A friendly and accessible, one-of-a-kind guide to psychological research methods, Your A to Z of Research Methods and Statistics in Psychology covers over 500 key terms and explores the concepts you need to navigate quantitative and qualitative methods in psychology with ease. From a priori comparisons to z scores, it forms the perfect companion to your core research methods and statistics textbook, and is an indispensable revision guide. Terms are clearly and engagingly defined, and the authors use a selection of helpful student tips, research examples, and eye-catching figures to enrich the text. You can also refer to a comprehensive decision chart to choose the most appropriate statistical test for your analysis, and consult a range of essential tables at the back of the text.

Practice-Based Research shows mental-health practitioners how to establish viable and productive research programs in routine clinical settings. Chapters written by experts in practice-based research use real-world examples to help clinicians work through some of the most common barriers to research output in these settings, including lack of access to institutional review boards, lack of organizational support, and limited access to financial resources. Specialized chapters also provide information on research methods and step-by-step suggestions tailored to a variety of practice settings. This is an essential volume for clinicians interested in establishing successful, long-lasting practice-based research programs.

Bodies that Birth puts birthing bodies at the centre of questions about contemporary birth politics, power, and agency. Arguing that the fleshy and embodied aspects of birth have been largely silenced in social science scholarship, Rachelle Chadwick uses an array of birth stories, from diverse race-class demographics, to explore the narrative entanglements between flesh, power, and sociomateriality in relation to birth. Adopting a unique theoretical framework incorporating new materialism, feminist theory, and a Foucauldian 'analytics of power', the book aims to trace and trouble taken-for-granted assumptions about birthing bodies. Through a diffractive and dialogical approach, the analysis highlights the interplay between corporeality, power, and ideologies in the making of birth narratives across a range of intersectional differences. The book shows that there is no singular birthing body apart from sociomaterial relations of power. Instead, birthing bodies are uncertain zones or unpredictable assortments of physiology, flesh, sociomateriality, discourse, and affective flows. At the same time, birthing bodies are located within intra-acting fields of power relations, including biomedicine, racialized patriarchy, socioeconomics, and geopolitics. Bodies that Birth brings the voices of women from different sociomaterial positions into conversation. Ultimately, the book explores how attending to birthing bodies can vitalize global birth politics by listening to what matters to women in relation to birth. This is fascinating reading for researchers, academics, and students from across the social sciences.

Scale Development: Theory and Applications, by Robert F. DeVellis and new co-author Carolyn T. Thorpe, demystifies measurement by emphasizing a logical rather than strictly mathematical understanding of concepts. The Fifth Edition includes a new chapter that lays out the key concepts that distinguish indices from scales, contrasts various types of indices, suggests approaches for developing them, reviews validity and reliability issues, and discusses in broad terms some analytic approaches. All chapters have been updated, and the book strikes a balance between including relevant topics and highlighting recent developments in measurement while retaining an accessible, user-friendly approach to the material covered.

El trabajo aborda una serie de criterios psicopedagogicos, que deben tenerse en cuenta para la formacion de valores tales como: En que sujetos deseamos educar valores?. Que valores posee ese joven universitario?. Cual es su nivel de motivacion profesional? Cuales valores educar? Como concebir a la personalidad? De cuales principios psicopedagogicos partir? Estos criterios fueron la base de la metodologia elaborada para la formacion de valores desde la disciplina Gestion del Talento Humano, en la Universidad Agostinho Neto, cuyos pasos se muestran a continuacion. Primer paso: Realizar un diagnostico inicial. Segundo paso: disenar el proyecto educativo de la disciplina. Tercer paso: realizar un diagnostico de salida. La puesta en practica de dicha metodologia durante varios anos, ha permitido incrementar la eficiencia y eficacia del proceso de ensenanza aprendizaje, lo cual se manifiesta en una mejor preparacion cientifico-tecnica y moral de los egresados. Palabras Claves: Formacion de Valores

Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software.

Software is cut and dried - every button you press has a predictable effect - but qualitative analysis is open ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. Expert NVivo users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how NVivo works and comprehensive instruction in the five steps of "translation". These steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in NVivo using the Five-Level QDA method. The book is accompanied by three sets of video demonstrations on the companion website. The book and accompanying videos illustrate the Windows version of NVivo. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The NVivo Mac Interface' in the Component Orientation series of videos (available on the companion website). The Five-Level QDA method is based on the authors' combined 40 years of experience teaching NVivo and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time NVivo experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model. Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach. Highlights of the third edition include: a new chapter on logistic regression; expanded treatment of mixed models for data with multiple random factors; updated examples; an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

This practical guide explains the use of randomization tests and provides example designs and macros for implementation in IBM SPSS and Excel. It reviews the theory and practice of single-case and small-n designs so readers can draw valid causal inferences from small-scale clinical studies. The macros and example data are provided on the book s website so that users can run analyses of the text data as well as data from their own studies.

The new edition features:

• More explanation as to why randomization tests are useful and how to apply them.
• More varied and expanded examples that demonstrate the use of these tests in education, clinical work and psychology.
• A website with the macros and datasets for all of the text examples in IBM SPSS and Excel.
• Exercises at the end of most chapters that help readers test their understanding of the material.
• A new glossary that defines the key words that appear in italics when they are first introduced.
• A new appendix that reviews the basic skills needed to do randomization tests.
• New appendices that provide annotated SPSS and Excel macros to help readers write their own or tinker with the ones provided in the book.

The book opens with an overview of single case and small n designs -- why they are needed and how they differ from descriptive case studies. Chapter 2 focuses on the basic concepts of randoization tests. Next how to choose and implement a randomization design is reviewed including material on how to perform the randomizations, how to select the number of observations, and how to record the data. Chapter 5 focuses on how to analyze the data including how to use the macros and understand the results. Chapter 6 shows how randomization tests fit into the body of statistical inference. Chapter 7 discusses size and power. The book concludes with a demonstration of how to edit or modify the macros or use parts of them to write your own.

Ideal as a text for courses on single-case, small n design, and/or randomization tests taught at the graduate level in psychology (especially clinical, counseling, educational, and school), education, human development, nursing, and other social and health sciences, this inexpensive book also serves as a supplement in statistics or research methods courses. Practitioners and researchers with an applied clinical focus also appreciate this book s accessible approach. An introduction to basic statistics, SPSS, and Excel is assumed.

This research volume serves as a comprehensive resource for psychophysiological research on media responses. It addresses the theoretical underpinnings, methodological techniques, and most recent research in this area. It goes beyond current volumes by placing the research techniques within a context of communication processes and effects as a field, and demonstrating how the real-time measurement of physiological responses enhances and complements more traditional measures of psychological effects from media.

This volume introduces readers to the theoretical assumptions of psychophysiology as well as the operational details of collecting psychophysiological data. In addition to discussing specific measures, it includes brief reviews of recent experiments that have used psychophysiological measures to study how the brain processes media. It will serve as a valuable reference for media researchers utilizing these methodologies, or for other researchers needing to understand the theories, history, and methods of psychophysiological research.

This book presents an update on social psychology as a disciplinary space and research field. First, it discusses the irruption of research methods from other cultural niches in the instituted academic area. Then, the second and third chapters discuss the role of Critical Psychology for community emancipation in hybrid settings and the development of Vygotsky's theory in Latin America. The fourth and fifth chapters offer some questions on contemporary legal and political culture. The sixth and seventh chapters ask how to reconceptualise the studies on Social Imaginary amd childhood. The eighth and ninth chapters present topics as performativity, cybernetic, subjectivities, and technology networks in health-related social support. In the last chapter, the author asks: are networks a cause of the human condition or a result of it? Is virtuality a condition and, at the same time, a result of the human? What could offer a psychoanalytic ethnographic approach to recover the concept of being human as the experience of intimate bonding as part of a social network?

This unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines that can be reproduced by the readers. It also addresses computer applications, including relevant R packages and modules. Configural frequency analysis is a statistical method that allows the processing of important and interesting questions in categorical data. The perspective of CFA differs from the usual perspective of relations among variables; its focus is on patterns of variable categories that stand out with respect to specific hypotheses, and as such, CFA allows for testing numerous substantive hypotheses. The book describes the origins of CFA and their relation to chi-square analysis as well as the developments that are based on log-linear modeling. The models covered range from simple models of variable independence to complex models that are needed when causal hypotheses are tested. Empirical data examples are provided for each model. New models are introduced for person-oriented mediation analysis and locally optimized time series analysis, and new results concerning the characteristics of CFA methods are bolstered using Monte Carlo simulations. Primarily intended for researchers and students in the social and behavioral sciences, the book will also appeal to anyone who deals with categorical data from a person-centered perspective.

Everyone is on a journey of growth, from birth to death. The authors used their research data, to tap into the vital stages of this journey of growth from a psychological growth perspective. They linked the stages of psychological growth to self-leadership development. Additionally, they linked different stages of self-leadership development to different types and styles of leadership. For example, they found that authoritative leadership is linked to earlier stages of psychological growth, while inclusive leadership is linked to latter stages of psychological growth.

The Poetic Journey of Self-Leadership: Leadership Development along Stages of Psychological Growth is relevant to those interested in self-reflection (as it assists to assign oneself to a stage of psychological development), personal growth (as it anticipates processes to follow during one’s current stage of development), self-leadership development, as well as useful for leadership assessment by practitioners (by assigning leadership to stages of development). Additionally, from an academic perspective, the book is relevant to psychology, sociology and leadership students.

Contents include:

• Surviving: Abandonment versus overwhelment; Survival-stage leader
• Conforming: Internality versus externality; Conforming leader
• Differentiating: Social predestination; Differentiated leader
• Individuating: Guilt versus fear; Journey to individuation; Conquering complexes; Authenticity; Individuated leader
• Self-actualizing: Kintsugi; Traumas; Magical other; Self-actualised leader
• Integrating: Values; Heroes; Purpose; Integrated leader
• Serving: Servant leader

Books about leadership and poetry are mostly written from the perspective of leaders, but The Poetic Journey of Self-Leadership: Leadership Development along Stages of Psychological Growth, focuses on self-leadership development, and not the usual listing of heroic leader capabilities that must be strived for. The authors used self-reported poetry from diverse participants, and in their own voices as their main data collection source. The book presents a diversity of writing styles and topics, and makes it much wider in scope and richer than other books.

This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book's exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book's pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.

"Bearding The Lion That Roared" showcases chapters published by Harry Levinson, corporate consulting pioneer and founder of psychoanalytic organizational theory and practice. (Diamond, 2003.)" Harry Levinson, the son of a Polish, Jewish tailor from Lodz, was born in Port Jervis, New York more than 80 years ago. Considered by many as the founder of psychoanalytic organization psychology, he was awarded the prestigious American Psychological Foundation Gold Medal for Life Achievement in the Application of Psychology in 2000. Now semi-retired and living with his wife Miriam in Delray Beach, Florida, he is chairman of The Levinson Institute, and Clinical Professor of Psychology Emeritus in the Department of Psychiatry at Harvard Medical School. Articles presented here illustrate Levinson's consulting work with senior executives, managers, and leaders in emotionally challenging circumstances. Spanning more than fifty years, Harry has inspired countless next-generation psychologists with his dedication to advancing organizational consulting psychology. His keen observations, easy to read case studies, and insightful interactions with consultants as well as clients, led him to be recognized as a legend in his own time, in the professional community to whom this volume is dedicated.

Rolf Steyer, Autor des erfolgreichen Lehrbuchs "Messen und Testen," schliesst mit diesem Buch die Kluft zwischen Regressionstheorie und deren empirischer Anwendung, der Regressionsanalyse.
Grundbegriffe der Statistik werden ohne Bezug zu komplizierten Stichprobenmodellen erlautert. Neben der Regressionsanalyse konnen auch verschiedene statistische Verfahren, wie die Varianz- oder Faktorenanalyse, als Spezialfalle regressiver Abhangigkeiten angesehen werden. Das Studium der Regressionstheorie dient daher dem Verstandnis grundlegender statistischer Verfahren in der Psychologie."

This book assembles research findings accumulated over the span of half a century from the Jefferson Longitudinal Study (JLS). This study, initiated in 1970, is the most comprehensive, extensive, and uninterrupted longitudinal study of medical students and graduates maintained in a single medical school. The study was based on the conviction that medical schools have a social responsibility and ethical obligation to monitor the quality of their educational programs, to assess their educational outcomes, and to ensure that their educational goals have been achieved for the purposes of public safety. The JLS has resulted in a large number of publications in professional peer-reviewed journals and presentations in national and international meetings. Some medical schools have expressed interest in learning more about the JLS, requesting copies of the instruments we used in the study, information about how to set up a longitudinal study of medical education, and other needed resources. In response to a request from Academic Medicine [2011, 86(3), p. 404], we prepared and published in that journal a schematic snapshot of the JLS for those interested in a model for the development of a longitudinal study of medical students and graduates. The JLS is well-known to the medical education research communities. A recent Google search using keywords "Jefferson Longitudinal Study" resulted in 1,550,000 hits, an indication of its broad popularity among researchers. At the present time, the JLS database contains academic information, assessments, and educational and career outcomes for 13,343 medical students and graduates of Sidney Kimmel (formerly Jefferson) Medical College of Thomas Jefferson University. There are presently 502 variables in the JLS analytic database. This book presents a collection of 207 abstracts of major publications from peerreviewed journals, books, and book chapters in which data and information from the JLS were used. In this book, we classified the abstracts, based on their primary contents, into the following categories: Admissions of the Applicants to Medical School (e.g., standardized tests, academic preparation, other admission variables). Demographic Composition (e.g., gender, age, race/ethnicity). Performance Evaluations in Medical School (e.g., preclinical and clinical phases). Postgraduate and Career (e.g., assessment of clinical competence in residency training, career choice, specialization, professional activities). Psychosocial Attributes (e.g., personal qualities, indicators of physical and mental well-being). Professionalism (e.g., assessment of elements of professionalism in medicine, such as clinical empathy, attitudes toward interprofesssional collaboration, and orientation.

This fresh, new textbook provides a thorough and student-friendly guide to the different techniques used in cognitive neuroscience. Given the breadth of neuroimaging techniques available today, this text is invaluable, serving as an approachable text for students, researchers, and writers. This text provides the right level of detail for those who wish to understand the basics of neuroimaging and also provides more advanced material in order to learn further about particular techniques. With a conversational, student-friendly writing style, Aaron Newman introduces the key principles of neuroimaging techniques, the relevant theory and the recent changes in the field.

Social science methods such as surveys, observations and content analyses are used in market research, studies of contemporary history, urban planning and communication research. They are all the more needed by sociologists and empirically working political scientists. Whether in the context of evaluating a prevention programme or for surveying health behaviour or for a study on social mobility, the confident handling of the social science instruments is always a prerequisite for obtaining reliable results. This book provides important information for users and developers of these instruments. It deals with the theoretical foundations of the methods, the steps in the conception and implementation of a project, the many variants of data collection, the methods to be used in the selection of study units, as well as the principles to be observed in the evaluation and documentation of the findings. With the help of numerous examples, a particularly clear presentation is achieved. In the fourth, updated edition, river sampling has now been included in the selection process, digital methods are increasingly presented and, against the background of the new data protection regulation, research ethics and data protection are also updated.

Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis and structural equation modeling. This long-awaited edition takes into account the various developments that have occurred since the publication of the original edition.

New to the Second Edition

• A new chapter on the multivariate normal distribution, its general properties, and the concept of maximum-likelihood estimation
• More complete coverage of descriptive factor analysis and doublet factor analysis
• A rewritten chapter on analytic oblique rotation that focuses on the gradient projection algorithm and its applications
• Discussions on the developments of factor score indeterminacy
• A revised chapter on confirmatory factor analysis that addresses philosophy of science issues, model specification and identification, parameter estimation, and algorithm derivation

Presenting the mathematics only as needed to understand the derivation of an equation or procedure, this textbook prepares students for later courses on structural equation modeling. It enables them to choose the proper factor analytic procedure, make modifications to the procedure, and produce new results.