Multilevel Analysis for Applied Research

It's Just Regression!

Author: Robert Bickel

Publisher: Guilford Press

ISBN: 159385191X

Category: Social Science

Page: 355

View: 6164

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: 7041

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: 7281

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: 2254

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: 3969

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: 6835

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.

Annual Meeting Program

Author: American Educational Research Association

Publisher: N.A

ISBN: N.A

Category: Education

Page: N.A

View: 2548

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: 9299

`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.

APS Observer

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Psychology

Page: N.A

View: 5882

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: 505

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: 3830

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.

An introduction to multilevel modeling techniques

Author: Ronald H. Heck,Scott Loring Thomas

Publisher: Psychology Press

ISBN: N.A

Category: Business & Economics

Page: 268

View: 5388

This comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques. Input programs from HLM and Mplus demonstrate how to set up and run the models. A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling. The new edition features: New chapters on multilevel longitudinal and categorical models 80% new exercises and examples website at http://www.psypress.com/multilevel-modeling-techniques/ providing datasets and program setups in HLM, SPSS, Mplus, and LISREL Increased emphasis on how multilevel techniques are used to examine changes in individuals and organizations over time. Ideal for introductory graduate level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics.

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: 6140

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.

Handbuch der sozialwissenschaftlichen Datenanalyse

Author: Christof Wolf,Henning Best

Publisher: Springer-Verlag

ISBN: 3531920383

Category: Political Science

Page: 1098

View: 2599

Das Handbuch der sozialwissenschaftlichen Datenanalyse bietet in über 40 Kapiteln eine umfassende Darstellung multivariater Analyseverfahren. Schwerpunkte des Handbuchs bilden Grundlagen der Datenanalyse, regressionsanalytische Verfahren für Quer- und Längsschnittsdaten sowie Skalierungsverfahren. Behandelt werden u. a. OLS-, logistische und robuste Regression, Strukturgleichungsmodelle, Mehrebenen-, Panel-, Ereignisdaten- und Zeitreihenanalyse, MDS und Rasch-Modelle. Darüber hinaus werden viele neuere Verfahren dargestellt, etwa multiple Imputation, Bootstrappen, Analyse latenter Klassen und propensity score matching. Jedes Kapitel beginnt mit einer allgemein verständlichen Einführung. Es folgt eine Darstellung der mathematisch-statistischen Grundlagen. Anschließend wird jedes Verfahren anhand eines sozialwissenschaftlichen Beispiels vorgestellt. Die Beiträge enden mit Hinweisen auf typische Anwendungsfehler und einer kommentierten Literaturempfehlung.

Einführung in die Mehrebenenanalyse

Grundlagen, Auswertungsverfahren und praktische Beispiele

Author: Uwe Engel

Publisher: Springer-Verlag

ISBN: 3322808300

Category: Social Science

Page: 280

View: 8077

Das Buch führt an Beispielen aus der wissenschaftlichen Umfrageforschung in Techniken der statistischen Mehrebenenanalyse ein und zeigt auf, wie diese Techniken für struktursoziologische Analysen genutzt werden können. Behandelt werden hierarchische lineare Modelle für kontinuierliche Variablen, Modelle für Paneldaten und multivariate Analysen sowie hierarchische Modelle für kategoriale Variablen. Der Autor zeigt, wie die Mehrebenenanalyse für die Analyse von Daten mit fehlenden Werten ("missig data") eingesetzt werden kann. Weitere Lösungsansätze zur Handhabung von Surveydaten mit zufällig bzw. nicht zufällig fehlenden Werten werden vorgestellt und an Beispielen veranschaulicht. Daten und Programmieranweisungen der im Buch vorgestellten Anwendungsbeispiele können für Lehr- und Übungszwecke von der Internet-Adresse des Autors heruntergeladen werden.

Mehrebenenanalyse

Eine Einführung für Forschung und Praxis

Author: Wolfgang Langer

Publisher: Springer-Verlag

ISBN: 9783531156859

Category: Social Science

Page: 316

View: 7156

Dieses Lehrbuch vermittelt die theoretischen Grundlagen sowie die praktische Anwendung der Mehrebenenanalyse, die es erlaubt, den Einfluss des sozialen Kontextes auf das individuelle Handeln zu bestimmen. Anhand von Datensätzen aus der empirischen Schulforschung, wie sie in Deutschland mit der PISA 2000-Studie bekannt geworden ist, werden die praktischen Grundlagen der Mehrebenenanalyse vermittelt, wobei das Freeware-Programm MLA zum Einsatz gelangt. Die im Buch verwendeten Freeware-Programme und Datensätze sind über das Internet direkt kostenlos beziehbar. Das Lehrbuch richtet sich an Dozierende und Studierende weiterführender Statistikkurse der BA/MA Studiengänge in quantitativer Sozialforschung. Vorausgesetzt werden lediglich Kenntnisse des linearen Regressionsmodells.