Multilevel Analysis for Applied Research

It's Just Regression!

Author: Robert Bickel

Publisher: Guilford Press

ISBN: 159385191X

Category: Social Science

Page: 355

View: 6553

An accessible introduction to multilevel modeling, this is the first book to provide detailed instructions on using SPSS for multilevel modeling. It is unique in showing multilevel analysis as an outgrowth of other techniques, making learning faster and choosing the best statistical method easier. This guide is ideal for overwhelmed grad students, academics expected to be stats gurus, and overworked program evaluators.

The Oxford Handbook of Quantitative Methods in Psychology: Vol. 2

Statistical Analysis

Author: Todd D. Little

Publisher: Oxford University Press

ISBN: 0199934894

Category: Medical

Page: 736

View: 5960

The Oxford Handbook of Quantitative Methods in Psychology provides an accessible and comprehensive review of the current state-of-the-science and a one-stop source for learning and reviewing current best-practices in a quantitative methods across the social, behavioral, and educational sciences.

Interaktionskompetenz im Vertrieb

Konzeptualisierung und Erfolgswirkung

Author: Vera Schulte

Publisher: Springer-Verlag

ISBN: 3658088206

Category: Business & Economics

Page: 358

View: 7254

Aufbauend auf einer Literaturrecherche zur Interaktion, zur Kompetenz und zu Konzepten des persönlichen Verkaufens sowie auf Basis von Experteninterviews konzeptionalisiert und operationalisiert Vera Schulte das Konstrukt Interaktionskompetenz, welches die notwendigen Voraussetzungen einer effektiven Steuerung der Interaktion unter gleichzeitiger Berücksichtigung des kompletten Interaktionsprozesses erfasst. Im Rahmen einer branchenübergreifenden Untersuchung im Investitionsgüterbereich validiert die Autorin die neu entwickelte Skala und identifiziert zentrale Einflussfaktoren sowie Effekte auf unternehmensrelevante Erfolgsgrößen. Es kann belegt werden, dass das Interaktionsverhalten der Vertriebsmitarbeiter einen entscheidenden Einfluss auf ökonomische Faktoren und die Kundenzufriedenheit ausübt.

Research Methods for Studying Groups and Teams

A Guide to Approaches, Tools, and Technologies

Author: Andrea Hollingshead,Marshall Scott Poole,Professor of Speech Communication and Associate Dean of the George Bush School of Government and Public Service Marshall Scott Poole, PhD

Publisher: Routledge

ISBN: 113665044X

Category: Business & Economics

Page: 472

View: 6672

This volume provides an overview of the methodological issues and challenges inherent in the study of small groups from the perspective of seasoned researchers in communication, psychology and other fields in the behavioral and social sciences. It summarizes the current state of group methods in a format that is readable, insightful, and useful for both new and experienced group researchers. This collection of essays will inspire new and established researchers alike to look beyond their current methodological approaches, covering both traditional and new methods for studying groups and exploring the full range of groups in face-to-face and online settings. The volume will be an important addition to graduate study on group research and will be a valuable reference for established group researchers, consultants and other practitioners. The essays in this volume when considered as a whole will be a contemporary interdisciplinary integration on group research methods.

Regression Analysis for Categorical Moderators

Author: Herman Aguinis

Publisher: Guilford Press

ISBN: 9781572309692

Category: Social Science

Page: 202

View: 9393

Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr).

Multilevel Modeling

Author: Douglas A. Luke

Publisher: SAGE

ISBN: 9780761928799

Category: Mathematics

Page: 79

View: 9325

A practical introduction to multi-level modelling, this book offers an introduction to HLM & illustrations of how to use this technique to build models for hierarchical & longitudinal data.

Missing Data

A Gentle Introduction

Author: N.A

Publisher: Guilford Publication

ISBN: 9781593853945

Category: Psychology

Page: 251

View: 5797

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study's conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

Annual Meeting Program

Author: American Educational Research Association

Publisher: N.A

ISBN: N.A

Category: Education

Page: N.A

View: 1904

The A-Z of Social Research

A Dictionary of Key Social Science Research Concepts

Author: Robert Lee Miller,John D Brewer

Publisher: SAGE

ISBN: 1446232921

Category: Social Science

Page: 346

View: 3543

`A detailed and valuable addition to the literature that will be a very useful resource for lecturers, as well as having a wide appeal among students' - Tim May, University of Salford Have you ever wondered what a concise, comprehensive book providing critical guidance to the whole expanse of social science research methods and issues might look like? The A-Z is a collection of 94 entries ranging from qualitative research techniques to statistical testing and the practicalities of using the Internet as a research tool. Alphabetically arranged in accessible, reader-friendly formats, the shortest entries are 800 words long and the longest are 3000. Most entries are approximately 1500 words in length and are supported by suggestions for further reading. The book: - Answers the demand for a practical, fast and concise introduction to the key concepts and methods in social research - Supplies students with impeccable information that can be used in essays, exams and research projects - Demystifies a field that students often find daunting This is a refreshing book on social research methods, which understands the pressures that modern students face in their work-load and seeks to supply an authoritative study guide to the field. It should fulfil a long-standing need in undergraduate research methods courses for an unpatronising, utterly reliable aid to making sense of research methods.

Statistics for Social Data Analysis

Author: David Knoke,George W. Bohrnstedt,Alisa Potter Mee

Publisher: Wadsworth Publishing Company

ISBN: N.A

Category: Mathematics

Page: 530

View: 7277

The fourth edition of STATISTICS FOR SOCIAL DATA ANALYSIS continues to show students how to apply statistical methods to answer research questions in various fields. Throughout the text, the authors underscore the importance of formulating substantive hypotheses before attempting to analyze quantitative data. An important aspect of this text is its realistic, hands-on approach. Actual datasets are used in most examples, helping students understand and appreciate what goes into the research process. The book focuses on the continuous-discrete distinction in considering the level at which a variable is measured. Rather than dwelling on the four conventional levels-of-measurement distinctions, the authors discuss statistics for analyzing continuous and discrete variables separately and in combination.

Applied Multivariate Analysis

Author: Neil H. Timm

Publisher: Springer Science & Business Media

ISBN: 0387227717

Category: Mathematics

Page: 695

View: 9565

This book provides a broad overview of the basic theory and methods of applied multivariate analysis. The presentation integrates both theory and practice including both the analysis of formal linear multivariate models and exploratory data analysis techniques. Each chapter contains the development of basic theoretical results with numerous applications illustrated using examples from the social and behavioral sciences, and other disciplines. All examples are analyzed using SAS for Windows Version 8.0.

Understanding and Investigating Response Processes in Validation Research

Author: Bruno D. Zumbo,Anita M. Hubley

Publisher: Springer

ISBN: 3319561294

Category: Social Science

Page: 370

View: 5407

This volume addresses an urgent need across multiple disciplines to broaden our understanding and use of response processes evidence of test validity. It builds on the themes and findings of the volume Validity and Validation in Social, Behavioral, and Health Sciences (Zumbo & Chan, 2014), with a focus on measurement validity evidence based on response processes. Approximately 1000 studies are published each year examining the validity of inferences made from tests and measures in the social, behavioural, and health sciences. The widely accepted Standards for Educational and Psychological Testing (1999, 2014) present five sources of evidence for validity: content-related, response processes, internal structure, relationships with other variables, and consequences of testing. Many studies focus on internal structure and relationships with other variables sources of evidence, which have a long history in validation research, known methodologies, and numerous exemplars in the literature. Far less is understood by test users and researchers conducting validation work about how to think about and apply new and emerging sources of validity evidence. This groundbreaking volume is the first to present conceptual models of response processes, methodological issues that arise in gathering response processes evidence, as well as applications and exemplars for providing response processes evidence in validation work.

APS Observer

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Psychology

Page: N.A

View: 1919

Lineare Strukturgleichungsmodelle

Eine Einführung mit R

Author: Holger Steinmetz

Publisher: Rainer Hampp Verlag

ISBN: 3957101492

Category: Social Science

Page: 189

View: 7486

Lineare Strukturgleichungsmodelle sind aus der verhaltenswissenschaftlichen Forschung nicht mehr wegzudenken. Sie sind ein nützliches Werkzeug, um Hypothesen über Beziehungen zwischen Variablen zu prüfen und - mehr noch - Implikationen kausaler Strukturen zu testen. In diesem Buch werden Grundlagen, Hintergründe und die Vorgehensweisen bei der Spezifizierung von Kausalmodellen diskutiert. Dies wird an einem empirischen Beispiel und unter Verwendung des lavaan-Pakets innerhalb der Software R illustriert. Der Schwerpunkt des Buchs liegt hierbei weniger auf methodischen und statistischen Aspekten eines Modells, sondern auf der adäquaten Übersetzung der theoretischen Vorstellungen in ein Modell. Ein besonderer Stellenwert wird dem Verständnis der kausalen Implikationen von Modellen, der theoretische Bedeutung von Variablen, der Diagnostik einer Fehlanpassung an die Daten und modernen Konzepten wie dem Instrumentalvariablen-Ansatz aus der Ökonometrie und dem d-separation-Konzept, eingeräumt. Somit bietet das Buch sowohl einen Einstieg für Anfänger/innen als auch interessante Inhalte für Fortgeschrittene. Holger Steinmetz ist wissenschaftlicher Mitarbeiter am Lehrstuhl für International Business Studies der Universität Paderborn.

A Beginner's Guide to Structural Equation Modeling

Fourth Edition

Author: Randall E. Schumacker,Richard G. Lomax

Publisher: Routledge

ISBN: 1317608097

Category: Psychology

Page: 372

View: 2651

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.

Psychologische Methodenlehre

eine orientierende Einführung

Author: Heinrich Wottawa

Publisher: Beltz Juventa

ISBN: 9783779903147

Category: Psychologie

Page: 235

View: 723