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Electronic Inspection Copy available here Structural Equation Modeling offers a nontechnical presentation of SEM with an emphasis on applications in social and personality psychology. The presentation begins with a discussion of the relation between SEM and statistical strategies widely used in social and personality psychology such as analysis of variance, multiple regression analysis, and factor analysis. This introduction is followed by a nontechnical presentation of the terminology, notation, and steps followed in a typical application of SEM. The reminder of the volume offers a practically-oriented presentation of specific applications using examples typical of social and personality psychology and offering advice for dealing with relevant issues such as missing data, choice of software, and best practices for interpreting and reporting results. The SAGE Library in Social and Personality Psychology Methods provides students and researchers with an understanding of the methods and techniques essential to conducting cutting-edge research. Each volume within the Library explains a specific topic and has been written by an active scholar (or scholars) with expertise in that particular methodological domain. Assuming no prior knowledge of the topic, the volumes are clear and accessible for all readers. In each volume, a topic is introduced, applications are discussed, and readers are led step by step through worked examples. In addition, advice about how to interpret and prepare results for publication are presented.
This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.
Statistics for the Terrified Criminologist is a user-friendly introduction to elementary statistics, intended primarily for the reluctant, math-anxious/avoidant criminology student. Written in a personal and informal style, with healthy doses of humor and encouragement, the aim of this book is to help readers make the leap from apprehension to comprehension of elementary statistics. Statistics for the Terrified Criminologist includes step-by-step instructions on how to run basic statistical tests in SPSS (Statistical Package for the Social Sciences) and is intended to serve as a comprehensive text for criminology courses in statistics and research methods; as a refresher for criminology students who have already taken a statistics course; and as a primer for new students of elementary statistics. Millions of people have math anxiety; yet this fact is rarely taken into consideration in textbooks on statistics. This book also presents self-help strategies (based on the cognitive behavioral techniques of rational emotive therapy) that help people manage their math anxiety so they can relax and build confidence while learning statistics. Statistics for the Terrified Criminologist makes statistics accessible to people by helping them manage their anxiety and presenting them with other essential materials for learning statistics before jumping into statistics.
Collecting and analyzing data on unemployment, inflation, and inequality help describe the complex world around us. When published by the government, such data are called official statistics. They are reported by the media, used by politicians to lend weight to their arguments, and by economic commentators to opine about the state of society. Despite such widescale use, explanations about how these measures are constructed are seldom provided for a non-technical reader. This Measuring Society book is a short, accessible guide to six topics: jobs, house prices, inequality, prices for goods and services, poverty, and deprivation. Each relates to concepts we use on a personal level to form an understanding of the society in which we live: We need a job, a place to live, and food to eat. Using data from the United States, we answer three basic questions: why, how, and for whom these statistics have been constructed. We add some context and flavor by discussing the historical background. This book provides the reader with a good grasp of these measures. Chaitra H. Nagaraja is an Associate Professor of Statistics at the Gabelli School of Business at Fordham University in New York. Her research interests include house price indices and inequality measurement. Prior to Fordham, Dr. Nagaraja was a researcher at the U.S. Census Bureau. While there, she worked on projects relating to the American Community Survey.
"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.
Demystifying the evaluation journey, this is the first evaluation mentoring book that addresses the choices, roles, and challenges that evaluators must navigate in the real world. Experienced evaluator and trainer Donna R. Podems covers both conceptual and technical aspects of practice in a friendly, conversational style.
She focuses not just on how to do evaluations but how to think like an evaluator, fostering reflective, ethical, and culturally sensitive practice. Extensive case examples illustrate the process of conceptualizing and implementing an evaluation--clarifying interventions, identifying beneficiaries, gathering data, discussing results, valuing, and developing recommendations. The differences (and connections) between research, evaluation, and monitoring are explored. Handy icons identify instructive features including self-study exercises, group activities, clarifying questions, facilitation and negotiation techniques, insider tips, advice, and resources.
Purchasers can access a companion website to download and print reproducible materials for some of the activities and games described in the book.
This timely and applied textbook brings together leading scientists to illustrate how key theories and concepts in social psychology help to predict and explain behavior, and can be successfully applied to benefit social and practical problems. It focuses on robust theories and models known for their successful applications and covers a diverse range of settings-spanning classroom interventions, health behavior, financial decision making, climate change and much more. Each chapter comprises of a theoretical section to define the key concepts and summarize the theory, providing evidence for its reliability and limitations from basic research, as well as an application section that summarizes research in an applied context and provides details about a particular study including the respective application setting. The textbook expertly shows how theory can make meaningful predictions for real world contexts, and isn't afraid to explain the potential hurdles and pitfalls when applying a theory and its underlying set of concepts in a certain context. Crucially, this format moves towards theory testing in applied contexts, enabling a closer examination of why and under what circumstances interventions may be successful in obtaining a desired behavioral or psychological end-state. Among the topics explored: Mindset theory of action phases and if-then planning Quality of motivation in self-determination theory The focus theory of normative conduct Social identity theory and intergroup contact theory Intergroup forgiveness Social Psychology in Action is a critical resource for advanced undergraduate and graduate students in social and cultural psychology, as well as students of behavioral economics seeking to develop a deeper understanding of major theories and applications of the fields. Practitioners working in the areas of organizational behavior and management, health communication, social work, and educational science and pedagogy will also find the volume pertinent to their work.
Quantitative und qualitative Methoden sind das Fundament aller Sozialwissenschaften und deshalb allgegenwartig im Studium. Vielen fallt die -Methodik- nicht leicht, insbesondere wenn unter Zeit- und Erfolgsdruck gelernt werden muss. Aber halt: Jeder kann die Forschungsmethoden verstehen Dieses Buch bietet einen leichten Einstieg und einen verstandlichen Gesamtuberblick uber alle wichtigen Verfahren, ihre Einsatzgebiete, Starken und Schwachpunkte.
Das Buch ist gleichzeitig kompakt und doch vollstandig: Neben grundlegenden Informationen zu wissenschaftlichem Arbeiten, Hypothesen, Variablen u.v.m. werden ausfuhrlich die wichtigsten quantitativen und qualitativen Methoden beschrieben und - dem aktuellen Trend folgend Kombinationen aus beiden, die sog. Mixed Methods. Die zweite Auflage wurde aktualisiert und um einige neue Aspekte erganzt, z.B. Datenerhebung im Internet oder neurowissenschaftliche Methoden.
Alles ist lernfreundlich aufbereitet: Mit Fallbeispielen, Definitionen, Tipps fur die Praxis, Lernzielen, Kontrollfragen und vertiefender Literatur. Auf der begleitenden Website auf www.lehrbuch-psychologie.de finden sich kostenlose Lern-Tools fur Studierende sowie Abbildungen und Foliensatze zum Download fur Dozenten.
Fur Studierende der Psychologie und Sozialwissenschaften sowie fur alle, die einen verstandlichen Einstieg in die Forschungsmethoden suchen."
Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book's examples.
Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences provides a two-semester, graduate-level introduction to basic statistical techniques that takes into account recent advances and insights that are typically ignored in an introductory course. Hundreds of journal articles make it clear that basic techniques, routinely taught and used, can perform poorly when dealing with skewed distributions, outliers, heteroscedasticity (unequal variances) and curvature. Methods for dealing with these concerns have been derived and can provide a deeper, more accurate and more nuanced understanding of data. A conceptual basis is provided for understanding when and why standard methods can have poor power and yield misleading measures of effect size. Modern techniques for dealing with known concerns are described and illustrated. Features: Presents an in-depth description of both classic and modern methods Explains and illustrates why recent advances can provide more power and a deeper understanding of data Provides numerous illustrations using the software R Includes an R package with over 1300 functions Includes a solution manual giving detailed answers to all of the exercises This second edition describes many recent advances relevant to basic techniques. For example, a vast array of new and improved methods is now available for dealing with regression, including substantially improved ANCOVA techniques. The coverage of multiple comparison procedures has been expanded and new ANOVA techniques are described. Rand Wilcox is a professor of psychology at the University of Southern California. He is the author of 13 other statistics books and the creator of the R package WRS. He currently serves as an associate editor for five statistics journals. He is a fellow of the Association for Psychological Science and an elected member of the International Statistical Institute.
An accessible, practical introduction to carrying out qualitative research in psychotherapy and counselling for practitioners who want or who are required to contribute to the profession's evidence base. Gives clear guidance on how to set up and conduct small scale research that is based in clinical practice Assumes no prior knowledge of qualitative research and is aimed specifically at psychotherapists Recognises development of the evidence base for psychotherapy through qualitative research as a key objective for practitioners
This edited collection will provide an overview of the field of physiological computing, i.e. the use of physiological signals as input for computer control. It will cover a breadth of current research, from brain-computer interfaces to telemedicine.
The European Review of Social Psychology (ERSP) is an international open-submission review journal, published under the auspices of the European Association of Social Psychology. It provides an outlet for substantial, theory-based reviews of empirical work addressing the full range of topics covered by the field of social psychology. Potential authorship is international, and papers are edited with the help of a distinguished, international editorial board. Articles published in ERSP typically review a programme of the author's own research, as evidenced by the author's own papers published in leading peer-reviewed journals. The journal welcomes theoretical contributions that are underpinned by a substantial body of empirical research, which locate the research programme within a wider body of published research in that area, and provide an integration that is greater than the sum of the published articles. ERSP also publishes conventional reviews and meta-analyses. All published review articles in this journal have undergone rigorous peer review, based on initial screening and refereeing by the Editors and at least two independent, expert referees.
Addressing practical issues rarely covered in methods texts, this user-friendly, jargon-free book helps students and beginning researchers plan infant and child development studies and get them done. The author provides step-by-step guidance for getting involved in a developmental laboratory and crafting effective research questions and proposals. Tips on recruiting study participants cover access issues--such as how to overcome language and cultural barriers--and include helpful sample scripts. The book offers time management strategies, pointers for organizing and communicating data, and a roadmap of the journal publication process, complete with an annotated sample article. Numerous concrete examples, checklists, worksheets, and exercises are featured. Reproducible forms can be downloaded and printed in a convenient 8 1/2" x 11" size. User-Friendly Features *Chapter subheadings written as questions to help students quickly find the answers they need. *Key tips and checklists for managing each phase of a study. *Exercises that build core research skills. *Annotated sample journal article with commentary on the writing and publication process.
This state-of-the-art handbook provides an authoritative overview of the field of perception, with special emphasis on new developments and trends. The volume adopts a 'tutorial' approach to describing psychophysical and physiological research, and features chapters on visual perception, auditory perception, somesthesis and the chemical senses, development and sense interactions. Each chapter has been written by leading researchers, specially chosen for their expertise and specialist knowledge. The chapters have been fully referenced and include suggested readings for easy access to further study.
"The Blackwell Handbook of Perception" is ideal for upper level students looking for succinct overviews and for researchers wanting to know more about current research and future trends.
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