Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book includes presentations given at the 88th annual meeting of the Psychometric Society, held in Maryland, USA on July 24–28, 2023. The proceeding covers a diverse set of psychometric topics. The topics include, but are not limited to item response theory, cognitive diagnostic models, Bayesian estimation, validity and reliability issues, and several applications within different fields. The authors are from all over the world, they work in different psychometrics areas, as well as having diverse professional and academic experiences.

Statistics. --- Social sciences --- Sampling (Statistics). --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Survey Methodology. --- Statistical methods.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book offers an unprecedented quantitative portrait of analytic philosophy focusing on two seemingly marginal features of philosophical texts: citations and acknowledgements in academic publications. Originating from a little network of philosophers based in Oxford, Cambridge, and Vienna, analytic philosophy has become during the Twentieth century a thriving philosophical community with thousands of members worldwide. Leveraging the most advanced techniques from bibliometrics, citations and acknowledgments are used in this book to shed light on both the epistemology and the sociology of this philosophical field, illuminating the intellectual trajectory of analytic philosophy as well as the social characteristics of the analytic community. Special attention is dedicated to the last forty years, providing insights into a phase of analytic philosophy which is still understudied by historians of philosophy. In the eight chapters of the book, readers will find not only numerous quantitative investigations and technical explanations, but also a robust theoretical framework and epistemological reflections on the strengths and limitations of quantitative methods for the study of philosophy. With its strong interdisciplinary appeal, this book will engage a wide range of scholars, including historians of philosophy seeking new methodologies, analytic philosophers interested in a new look at their discipline, and scholars in digital humanities, bibliometrics, and quantitative studies of science, who will find many innovative techniques for investigating disciplinary fields.

Social sciences --- Digital humanities. --- Philosophy --- Methodology. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Digital Humanities. --- History of Philosophy as Method. --- Statistical methods. --- History.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This textbook offers an essential introduction to survey research and quantitative methods with clear instructions on how to conduct statistical tests with R. Building on the premise that we need to teach statistical methods in a holistic and practical format, the book guides students through the four main elements of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. In detail, students will learn how to create their own questionnaire on the basis of formulating hypotheses; sampling participants; disseminating their questionnaire; creating datasets; and analyzing their data. The data analytical sections of this revised and extended edition explain the theory, rationale and mathematical foundations of relevant bivariate and multi-variate statistical tests. These include the T-test, F-test, Chi-square test and correlation analyses, as well as bivariate and multivariate regression analyses. In addition, the book offers a brief introduction to statistical computing with R, which includes clear instructions on how to conduct these statistical tests in R. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research and quantitative methods classes in the social sciences.

Political science. --- Sociology --- Social sciences --- Mathematical statistics --- Methodology of Political Science. --- Sociological Methods. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Statistics and Computing. --- Methodology. --- Statistical methods. --- Data processing. --- Electronic books. --- Research

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In diesem Lehrbuch wird ein anwendungsorientierter Zugang zur mathematischen Theorie der Daten und des Zufalls entwickelt, der von Phänomenen des Alltags ausgeht und bis in die axiomatische Theorie der Wahrscheinlichkeit hineinreicht. Es richtet sich vor allem an Studierende des Lehramts Mathematik, ist aber auch als sinnstiftender Zugang zur Stochastik für andere Studierende der Mathematik (Diplom, BA) geeignet. Im Kapitel "Beschreibende Statistik" werden Konzepte der Datenreduktion und -präsentation entwickelt. Der Aufbau der "Wahrscheinlichkeitsrechnung" erfolgt von typischen Beispielen aus, wobei die geschichtliche und inhaltliche Entwicklung des Wahrscheinlichkeitsbegriffs ausführlich dargestellt werden. Diese beiden Teilgebiete werden im Kapitel "Beurteilende Statistik" zusammengeführt. Den Abschluss bildet ein Ausblick auf die Anwendung stochastischer Methoden in den empirischen Wissenschaften. Zahlreiche Abbildungen sowie Lern- und Übungsaufgaben mit Lösungshinweisen runden die Darstellung ab.

Probabilities. --- Mathematics. --- Algebra. --- Statistics. --- Social sciences --- Probability Theory. --- Applications of Mathematics. --- Statistical Theory and Methods. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Statistical methods.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines. This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM. This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.

Statistics. --- Statistics --- Social sciences --- Econometrics. --- Multivariate analysis. --- Statistical Theory and Methods. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistical Software. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Multivariate Analysis. --- Computer programs. --- Statistical methods. --- Anàlisi multivariable --- Econometria