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The Handbook of Multilevel Theory, Measurement, and Analysis

The Handbook of Multilevel Theory, Measurement, and Analysis
Author: Stephen E. Humphrey
Publisher: American Psychological Association (APA)
Total Pages: 0
Release: 2019
Genre: Business & Economics
ISBN: 9781433830013

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This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis


Handbook of Multilevel Analysis

Handbook of Multilevel Analysis
Author: Jan Deleeuw
Publisher: Springer Science & Business Media
Total Pages: 498
Release: 2007-12-26
Genre: Mathematics
ISBN: 0387731865

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This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.


The SAGE Handbook of Quantitative Methodology for the Social Sciences

The SAGE Handbook of Quantitative Methodology for the Social Sciences
Author: David Kaplan
Publisher: SAGE
Total Pages: 532
Release: 2004-06-21
Genre: Reference
ISBN: 9780761923596

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Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.


Handbook of Research Methods in Industrial and Organizational Psychology

Handbook of Research Methods in Industrial and Organizational Psychology
Author: Steven G. Rogelberg
Publisher: John Wiley & Sons
Total Pages: 537
Release: 2008-04-15
Genre: Psychology
ISBN: 0470756578

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Handbook of Research Methods in Industrial and Organizational Psychology is a comprehensive and contemporary treatment of research philosophies, approaches, tools, and techniques indigenous to industrial and organizational psychology. Only available research handbook for Industrial & Organizational Psychology. Contributors are leading methodological & measurement scholars. Excellent balance of practical and theoretical insights which will be of interest to both novice and experienced organizational researchers. Great companion to the content-oriented Handbooks. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com


The SAGE Handbook of Multilevel Modeling

The SAGE Handbook of Multilevel Modeling
Author: Marc A. Scott
Publisher: SAGE
Total Pages: 954
Release: 2013-08-31
Genre: Social Science
ISBN: 1473971314

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In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.


Multilevel Theory, Research, and Methods in Organizations

Multilevel Theory, Research, and Methods in Organizations
Author: Katherine J. Klein
Publisher: Pfeiffer
Total Pages: 648
Release: 2000
Genre: Business & Economics
ISBN:

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This study on multilevel analysis cuts through the confusion surrounding the development and testing of multilevel theories. It illuminates processes and effects within organisations, synthesising and updating current theory.


The SAGE Handbook of Research Methods in Political Science and International Relations

The SAGE Handbook of Research Methods in Political Science and International Relations
Author: Luigi Curini
Publisher: SAGE
Total Pages: 1861
Release: 2020-04-09
Genre: Political Science
ISBN: 1526486393

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The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of research processes in social science — from the ideation and design of research projects, through the construction of theoretical arguments, to conceptualization, measurement, & data collection, and quantitative & qualitative empirical analysis — exposited through 65 major new contributions from leading international methodologists. Each chapter surveys, builds upon, and extends the modern state of the art in its area. Following through its six-part organization, undergraduate and graduate students, researchers and practicing academics will be guided through the design, methods, and analysis of issues in Political Science and International Relations: Part One: Formulating Good Research Questions & Designing Good Research Projects Part Two: Methods of Theoretical Argumentation Part Three: Conceptualization & Measurement Part Four: Large-Scale Data Collection & Representation Methods Part Five: Quantitative-Empirical Methods Part Six: Qualitative & "Mixed" Methods


Growth Modeling

Growth Modeling
Author: Kevin J. Grimm
Publisher: Guilford Publications
Total Pages: 558
Release: 2016-10-17
Genre: Social Science
ISBN: 1462526063

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Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.


Handbook of Research Methods for Studying Daily Life

Handbook of Research Methods for Studying Daily Life
Author: Matthias R. Mehl
Publisher: Guilford Publications
Total Pages: 705
Release: 2013-10-01
Genre: Psychology
ISBN: 1462513050

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Bringing together leading authorities, this unique handbook reviews the breadth of current approaches for studying how people think, feel, and behave in everyday environments, rather than in the laboratory. The volume thoroughly describes experience sampling methods, diary methods, physiological measures, and other self-report and non-self-report tools that allow for repeated, real-time measurement in natural settings. Practical guidance is provided to help the reader design a high-quality study, select and implement appropriate methods, and analyze the resulting data using cutting-edge statistical techniques. Applications across a wide range of psychological subfields and research areas are discussed in detail.