The complexities and multiple levels of analysis involved in studying organizational phenomena require clarity in conceptualization and appropriate measurement methods to capture these dynamics. The facet approach can integrate diverse perspectives and address challenges posed by interdisciplinary organizational research. Facet Theory, a methodology conceived by Professor Louis E. Guttman, is a comprehensive research strategy. Based on set theory, it brings to the social sciences a discipline similar to mathematics and the natural sciences. It offers a formal approach to define the universe of content by uniquely addressing construct clarity and empirical verification for management studies. Relying on qualitative data, it helps generate mathematically derived models that have common structures across different research domains. Thus, Facet Theory helps render objective and quantitative what had previously appeared to be subjective and qualitative. It offers unique procedures for studies characterized by multitudes of interacting variables, promotes the systematic study of configurations, and can help advance cumulative research on organizing in teams, enterprises, or markets. The chapters in this volume provide recent advances and applications of Facet Theory, demonstrating how it enhances rigor and new insights for organizational research. The chapters in this book were originally published as a special issue of International Studies of Management & Organization.

In this Research Topic the two editors bring together a series of articles that use facet theory and allied approaches to research. Since its inception in the work of Louis Guttman in the mid twentieth century, facet theory has become an established approach within social science research. In addition, over the past 70 years a wide range of research publications have appeared operating within the theoretical and analytic rubric of facet theory and for the last two decades a biennial international conference has been held devoted to facet theory research. When using a facet theory approach, an implicit aim of the research within this framework is to bring together in an explicit manner a clear definition of the content area that is being investigated along with data analysis procedures. Integrating the explicit design of research content (for example, attitudes, values, etc) and its subsequent analysis (for example to identify the variables that are influential to respondents in relation to the specific area under investigation) allows for the construction of theory relating to the content area and for the meaningful measurement of complex research areas. The clear explication of an area of research content, is achieved through the use of a mapping sentence (MS). In a MS all of the pertinent variables (called facets) associated with the specific subject matter of the research study are specified in the form of a natural language sentence where facets (variables) are arrange to demonstrate how these theoretically relate to each other. Sub-levels of facets are defined in such a way as to capture the relationships of research variables (facets) to each other and the overall research domain. Background variables are also stated in the MS along with a specified range over which observations will be made to test the veracity of the structural hypotheses (statements regarding the proposed manner in which variables are related to the study’s content) implicit in the MS. Furthermore, by using a MS the researcher is able to select variables that appropriately address the area of content. Traditionally, facet theory has been used in quantitative research but has recently been applied to the analysis of qualitative and philosophical research which incorporates a declarative mapping sentence in such research and which is included in this Research Topic. In order to interrogate these structural hypotheses, quantitative data analysis procedures are employed, such as Smallest Space Analysis (SSA) and Partial Order Scalogram Analysis by base Coordinates (POSAC). In SSA the structure of the content area of interest (the variables that have been included in the MS) can be interrogated as observations that have been made along the specified outcome range, are represented geometrically (as partitioned regions) in a concept-space related to the specific research domain. Individual respondents may also be investigated in terms of their profile of facet related scores using POSAC. A similar approach is employed when analysing information from qualitative facet theory research, which interrogates the structural hypotheses present in the declarative mapping sentence through approaches such as content and narrative analyses. This Research Topic presents work from scholars with particular emphasis upon how the approach has developed both theoretically and in terms of its application, new areas of application, and advances in theory development.

This book acts as an introductory guide to understanding and using the mapping sentence as a tool in social science and humanities research. The book fills the need for a concise text that simply instructs how and when to use a mapping sentence and provides practical examples. Mapping sentences are a major research component and tool of facet theory. The book begins by covering the background to mapping sentence, including the philosophy and theory underpinning it. The following chapter discuss what mapping sentence is, what different kinds of mapping sentences exist, and knowing when and which to use it in a given situation. The book then moves into describing how to write a mapping sentence and how to analyse the information gained from mapping sentence research. It ends with a consideration of the future developments of mapping sentences and their applications across the social sciences and humanities, including in particular psychology, marketing, behavioural biology, art and health.

Complete proceedings of the 14th European Conference on Research Methodology for Business and Management Studies Valletta, Malta Published by Academic Conferences and Publishing International

The ISKO UK Biennial Conference, 4th - 5th July, 2011, London honoured the life and achievements of Brian C Vickery. This book celebrates his influence on the development of the information profession, with contributions from over 50 authors to address research and developments in knowledge organization.

This book is the second edition of Facet Theory and the Mapping Sentence: Evolving Philosophy, Use and Application (2014). It consolidates the qualitative and quantitative research positions of facet theory and delves deeper into their qualitative application in psychology, social and the behavioural sciences and in the humanities. In their traditional quantitative guise, facet theory and its mapping sentence incorporate multi-dimensional statistics. They are also a way of thinking systematically and thoroughly about the world. The book is particularly concerned with the development of the declarative mapping sentence as a tool and an approach to qualitative research. The evolution of the facet theory approach is presented along with many examples of its use in a wide variety of research domains. Since the first edition, the major advance in facet theory has been the formalization of the use of the declarative mapping sentence and this is given a prominent position in the new edition. The book will be compelling reading for students at all levels and for academics and research professionals from the humanities, social sciences and behavioural sciences.

Quantitative Psychological Research: The Complete Student's Companion, expertly guides the reader through all the stages involved in undertaking quantitative psychological research: designing a study, choosing a sample of people, undertaking the study, analysing the data, and reporting the research. Accessibly written and clearly presented, the book is designed for anyone learning to conduct quantitative psychological research as well being a reference work for professional psychologists. It covers the full research process, from the original idea to reporting the completed study, emphasizing the importance of looking beyond statistical significance in evaluating data. The book provides step-by-step guidance on choosing, interpreting and reporting the appropriate analysis, featuring worked examples and extended calculations as appendices for readers who wish to delve further. This edition features a new chapter examining ideas on how causality might be identified when data is not obtained from an experiment and has been thoroughly updated throughout to reflect latest research practices. Care has been taken to avoid tying the book to any specific statistical software, providing readers with a thorough grounding in the basics no matter which package they go on to use. This is a must read for professional psychologists as well as students and researchers of Psychology, Statistics and Research Methods. This book is also invaluable for anyone interested in conducting quantitative psychological research.

This volume introduces the latest popular methods for conducting business research. The goal of each chapter author--a leading authority in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics--Measurement, Decision Analysis, and Modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures, and configural models of longitudinal categorical data.