{"product_id":"the-handbook-of-multilevel-theory-measurement-and-analysis-hardback-9781433830013","title":"The Handbook of Multilevel Theory, Measurement, and Analysis (Hardback) 9781433830013","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eThe Handbook of Multilevel Theory, Measurement, and Analysis\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eStephen E. Humphrey (Edited by), James M. LeBreton (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781433830013\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 27 November 2018\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e600 pages\u003cbr\u003e27.9 x 21.6 x 3.6 cm, 1.728 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cdiv\u003eThis handbook provides guidance to organizational and social science scholars interested in pursuing multilevel research. Organizational relationships are complex. Employees do their work as individuals, but also as members of larger teams. They exist within various social networks, both within and spanning organizations. Multilevel theory is at the core of the organizational sciences, and unpacking multilevel relationships is fundamental to the challenges faced within these disciplines. Yet, guidance about how to pursue multilevel research has often been siloed within\u003cbr\u003e subdomains. In this book, prominent experts on multilevel research guide scholars in the social and behavioral sciences who wish to consider the implications that multilevel research may have for their work. Although the majority of contributors to this handbook have backgrounds in the organizational sciences, the chapters are accessible to researchers from a wide array disciplines including, but not limited to, communication, education, sociology, psychology, and management.\u003cbr\u003e  \u003c\/div\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cdiv\u003e Introduction\u003cbr\u003e\u003cb\u003ePart I: Multilevel Theory\u003c\/b\u003e\u003cbr\u003e Chapter  : On Finding Your Level\u003cbr\u003e Stanley M. Gully and Jean M. Phillips\u003cbr\u003e Chapter 2: Contextualizing Context in Organizational Research\u003cbr\u003e Cheri Ostroff\u003cbr\u003e Chapter 3: Ask Not What the Study of Context Can Do for You: Ask What You Can Do for the Study of Context\u003cbr\u003e Rustin D. Meyer, Katie England, Elnora D. Kelly, Andrew Helbling, MinShuou Li, and Donna Outten\u003cbr\u003e Chapter 4: The Only Constant Is Change: Expanding Theory by Incorporating Dynamic Properties Into One amp rsquo s Models\u003cbr\u003e Matthew A. Cronin and Jeffrey B. Vancouver\u003cbr\u003e Chapter 5: The Means Are the End: Complexity Science in Organizational Research\u003cbr\u003e Juliet R. Aiken, Paul J. Hanges, and Tiancheng Chen\u003cbr\u003e Chapter  : The Missing Levels of Microfoundations: A Call for Bottom-Up Theory and Methods\u003cbr\u003e Robert E. Ployhart and Jonathan Hendricks\u003cbr\u003e Chapter 7: Multilevel Emergence in Work Collectives\u003cbr\u003e John E. Mathieu and Margaret M. Luciano\u003cbr\u003e Chapter 8: Multilevel Thoughts on Social Networks\u003cbr\u003e Daniel J. Brass and Stephen P. Borgatti\u003cbr\u003e Chapter 9: Conceptual Foundations of Multilevel Social Networks\u003cbr\u003e Srikanth Paruchuri, Martin C. Goossen, and Corey Phelps\u003cbr\u003e\u003cb\u003ePart II: Multilevel Measurement and Design\u003c\/b\u003e\u003cbr\u003e Chapter  : Introduction to Data Collection in Multilevel Research\u003cbr\u003e Le Zhou, Yifan Song, Valeria Alterman, Yihao Liu, and Mo Wang\u003cbr\u003e Chapter  : Construct Validation in Multilevel Studies\u003cbr\u003e Andrew T. Jebb, Louis Tay, Vincent Ng, and Sang Woo\u003cbr\u003e Chapter  2: Multilevel Measurement: Agreement, Reliability, and Nonindependence\u003cbr\u003e Dina V. Krasikova and James M. LeBreton\u003cbr\u003e Chapter  3: Looking Within: An Examination, Combination, and Extension of Within-Person Methods Across Multiple Levels of Analysis\u003cbr\u003e Daniel J. Beal and Allison S. Gabriel\u003cbr\u003e Chapter  4: Power Analysis for Multilevel Research\u003cbr\u003e Charles A. Scherbaum and Erik Pesner\u003cbr\u003e Chapter  5: Explained Variance Measures for Multilevel Models\u003cbr\u003e David M. LaHuis, Caitlin E. Blackmore, and Kinsey B. Bryant-Lees\u003cbr\u003e Chapter  : Missing Data in Multilevel Research\u003cbr\u003e Simon Grund, Oliver L amp uuml dtke, and Alexander Robitzsch\u003cbr\u003e\u003cb\u003ePart III: Multilevel Analysis\u003c\/b\u003e\u003cbr\u003e Chapter  7: A Primer on Multilevel (Random Coefficient) Regression Modeling\u003cbr\u003e Levi K. Shiverdecker and James M. LeBreton\u003cbr\u003e Chapter  8: Dyadic Data Analysis\u003cbr\u003e Andrew P. Knight and Stephen E. Humphrey\u003cbr\u003e Chapter  9: A Primer on Multilevel Structural Modeling: User-Friendly Guidelines\u003cbr\u003e Robert J. Vandenberg and Hettie A. Richardson\u003cbr\u003e Chapter 2 : Moderated Mediation in Multilevel Structural Equation Models: Decomposing Effects of Race on Math Achievement Within Versus Between High Schools in the United States\u003cbr\u003e Michael J. Zyphur, Zhen Zhang, Kristopher J. Preacher, and Laura J. Bird\u003cbr\u003e Chapter 2 : Anything but Normal: The Challenges, Solutions, and Practical Considerations of Analyzing Nonnormal Multilevel Data\u003cbr\u003e Miles A. Zachary, Curt B. Moore, and Gary A. Ballinger\u003cbr\u003e Chapter 22: A Temporal Perspective on Emergence: Using Three-Level Mixed-Effects Models to Track Consensus Emergence in Groups\u003cbr\u003e Jonas W. B. Lang and Paul D. Bliese\u003cbr\u003e Chapter 23: Social Network Effects: Computational Modeling of Network Contagion and Climate Emergence\u003cbr\u003e Daniel A. Newman and Wei Wang\u003cbr\u003e Part IV. Reflections on Multilevel Research\u003cbr\u003e Chapter 24: Cross-Level Models\u003cbr\u003e Francis J. Yammarino and Janaki Gooty\u003cbr\u003e Chapter 25: Panel Interview: Reflections on Multilevel Theory, Measurement, and Analysis\u003cbr\u003e Michael E. Hoffman, David Chan, Gilad Chen, Fred Dansereau, Denise Rousseau, and Benjamin Schneider\u003cbr\u003e Index\u003cbr\u003e About the Editors \u003c\/div\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003c\/font\u003e","brand":"American Psychological Association","offers":[{"title":"Brand New","offer_id":52584855634200,"sku":"9781433830013","price":86.37,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/freshlyprintedbooks.co.uk\/products\/the-handbook-of-multilevel-theory-measurement-and-analysis-hardback-9781433830013","provider":"Freshly Printed Books","version":"1.0","type":"link"}