Overview of the interface - Prelis examples - Lisrel examples - Multilevel examples - Firm examples - New statistical features - Syntax.

“Getting Started with a SIMPLIS Approach” is particularly appropriate for those users who are not experts in statistics, but have a basic understanding of multivariate analysis that would allow them to use this handbook as a good first foray into LISREL. Part I introduces the topic, presents the study that serves as the background for the explanation of matters, and provides the basis for Parts II and III, which, in turn, explain the process of estimation of the measurement model and the structural model, respectively. In each section, we also suggest essential literature to support the utilization of the handbook. After having read the book, readers will have acquired a basic knowledge of structural equation modeling, namely using the LISREL program, and will be prepared to continue with the learning process.

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software. Highlights of the Second Edition include: • Review of latent change (growth) analysis models at an introductory level • Coverage of the popular Mplus program • Updated examples of LISREL and EQS • Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples. A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

The three papers in Volume 17 report new theory and in-depth descriptions of interfirm network behavior. Each paper includes extensive reviews of the relevant literature on interfirm network behavior as well as data analysis using empirical positivistic and/or case study research methods.

This book discusses the latest findings on ensuring employees’ safety, health, and welfare at work. It combines a range of disciplines – e.g. work physiology, health informatics, safety engineering, workplace design, injury prevention, and occupational psychology – and presents new strategies for safety management, including accident prevention methods such as performance testing and participatory ergonomics. The book, which is based on the AHFE 2018 International Conference on Safety Management and Human Factors, held on July 21–25, 2018, in Orlando, Florida, USA, provides readers, including decision makers, professional ergonomists and program managers in government and public authorities, with a timely snapshot of the state of the art in the field of safety, health, and welfare management. It also addresses agencies such as the Occupational Safety and Health Administration (OSHA) and the National Institute for Occupational Safety and Health (NIOSH), as well as other professionals dealing with occupational safety and health.

In the short time since the publication of the Handbook of Positive Psychology esearch results on the psychology of human strengths have proliferated. However, no major volume has documented the methods and theory used to achieve these results. Oxford Handbook of Methods in Positive Psychology fills this need, providing a broad overview of diverse contemporary methods in positive psychology. With contributions from both leading scholars and promising young investigators, the handbook serves to illuminate and, at times, challenge traditional approaches. Incorporating multiple levels of analysis, from biology to culture, the contributors present state-of-the art techniques, including those for estimating variability and change at the level of the individual, identifying reliability of measurements within and across individuals, and separating individual differences in growth from aspects of phenomena that exhibit shorter-term variability over time. The volume covers such topics as wisdom, health, hope, resilience, religion, relationships, emotions, well-being, character strengths, and laughter. It enhances our understanding of the balance between human deficits and strengths and demonstrates their connections to other problems. Oxford Handbook of Methods in Positive Psychology will be the essential reference for methods in positive psychology.