Download or read book Data Analytics and Psychometrics written by Hong Jiao and published by IAP. This book was released on 2018-12-01 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.
Download or read book Modern Psychometrics with R written by Patrick Mair and published by Springer. This book was released on 2018-09-20 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.
Download or read book Data Analysis for Psychology written by George L. Dunbar and published by Hodder Education. This book was released on 1998 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analysis is an essential psychological aid to understanding human behaviour in terms of its causes. By observing and measuring certain behavioural patterns, psychologists can obtain data necessary to support - or refute - a given hypothesis. It is the business of data analysis to cut through the jungle of numbers to the underlying psychological structure. 'Data Analysis for Psychology' provides a clear and straightforward explanation of the most important data analysis techniques for psychologists. Using concrete examples to illustrate the analysis of data, concepts are explored in plain language and without unnecessary technical detail. At the heart of the book is the idea of a statistical model and the process of accounting for structure, or pattern, in data. Explaining familiar techniques like analysis of variance, the book goes further to examine exploratory data analysis, log-linear analysis, analysis of co-variance and other advanced methods. With the emphasis throughout on clarity, the text is written for undergraduate psychology students undertaking independent research.
Download or read book Data Analysis written by Edward L. Wike and published by Routledge. This book was released on 2018-02-06 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for psychology majors and graduate students who are conducting experiments for the first time and are faced with the task of making sense out of their data. This much needed "how-to-do-it" text illustrates the application of statistical methods to the data from small samples. It also serves as a handbook, with twenty-two tables presented at the end of the text that will allow the student to carry out virtually every computation necessary in analyzing his data. Almost all of the examples and illustrations are drawn from actual experiments so that the student can see how professional scientists examine their data. The book also shows students the kinds of data that are encountered in psychological research, the kinds of questions investigators seek to answer, and how these questions are approached. The author asserts that statistics is not an abstract discipline but a tool in research. However, the book also imparts a philosophy of data analysis and its meaning, a concern for questions of the function of data analysis and the interpretations that legitimately can be drawn from data. In brief, Data Analysis asks: What kinds of data are met in psychological research? What can we do with these data? What can we conclude as a result of this doing? The book will be invaluable for students who, even though they may have taken a previous statistics course, are still unsure of what statistical techniques should be used in interpreting their data.
Download or read book Data Science with R for Psychologists and Healthcare Professionals written by Christian Ryan and published by CRC Press. This book was released on 2021-12-23 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up-to-date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail. A great deal of research in the health sciences concerns questionnaire data, which may require recoding, aggregation and transformation before quantitative techniques and statistical analysis can be applied. R offers many useful and transparent functions to process data and check psychometric properties. These are illustrated in detail, along with a wide range of tools R affords for data visualisation. Many introductory statistics books for the health sciences rely on toy examples - in contrast, this book benefits from utilising open datasets from published psychological studies, to both motivate and demonstrate the transition from data manipulation and analysis to published report. R Markdown is becoming the preferred method for communicating in the open science community. This book also covers the detail of how to integrate the use of R Markdown documents into the research workflow and how to use these in preparing manuscripts for publication, adhering to the latest APA style guidelines.
Download or read book Computational Psychometrics New Methodologies for a New Generation of Digital Learning and Assessment written by Alina A. von Davier and published by Springer Nature. This book was released on 2022-01-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book defines and describes a new discipline, named “computational psychometrics,” from the perspective of new methodologies for handling complex data from digital learning and assessment. The editors and the contributing authors discuss how new technology drastically increases the possibilities for the design and administration of learning and assessment systems, and how doing so significantly increases the variety, velocity, and volume of the resulting data. Then they introduce methods and strategies to address the new challenges, ranging from evidence identification and data modeling to the assessment and prediction of learners’ performance in complex settings, as in collaborative tasks, game/simulation-based tasks, and multimodal learning and assessment tasks. Computational psychometrics has thus been defined as a blend of theory-based psychometrics and data-driven approaches from machine learning, artificial intelligence, and data science. All these together provide a better methodological framework for analysing complex data from digital learning and assessments. The term “computational” has been widely adopted by many other areas, as with computational statistics, computational linguistics, and computational economics. In those contexts, “computational” has a meaning similar to the one proposed in this book: a data-driven and algorithm-focused perspective on foundations and theoretical approaches established previously, now extended and, when necessary, reconceived. This interdisciplinarity is already a proven success in many disciplines, from personalized medicine that uses computational statistics to personalized learning that uses, well, computational psychometrics. We expect that this volume will be of interest not just within but beyond the psychometric community. In this volume, experts in psychometrics, machine learning, artificial intelligence, data science and natural language processing illustrate their work, showing how the interdisciplinary expertise of each researcher blends into a coherent methodological framework to deal with complex data from complex virtual interfaces. In the chapters focusing on methodologies, the authors use real data examples to demonstrate how to implement the new methods in practice. The corresponding programming codes in R and Python have been included as snippets in the book and are also available in fuller form in the GitHub code repository that accompanies the book.
Download or read book Statistics and Data Analysis for the Behavioral Sciences written by Dana Dunn and published by McGraw-Hill Humanities, Social Sciences & World Languages. This book was released on 2001 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dana Dunn combines the quantitative aspects of statistics with written explanations of what the results of statistical tests mean in a way that students will understand. He incorporates APA style in examples and an appendix to expose students to the expected style of prose. For students with math anxiety or who just need a refresher on basic mathematical functions, he has included an appendix so that faculty are not forced to spend class time reviewing these basic concepts. The book includes a student friendly system of pedagogy to ensure student success. Where possible, Dunn has included examples and projects for students to conduct research on their own lives to draw personalized meaning from the world of statistics.
Download or read book Modern Psychometrics written by John Rust and published by Routledge. This book was released on 2014-07-11 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today psychometrics plays an increasingly important role in all our lives as testing and assessment occurs from preschool until retirement. This book introduces the reader to the subject in all its aspects, ranging from its early history, school examinations, how to construct your own test, controversies about IQ and recent developments in testing on the internet. In Part one of Modern Psychometrics, Rust and Golombok outline the history of the field and discuss central theoretical issues such as IQ, personality and integrity testing and the impact of computer technology and the internet. In Part two a practical step-by-step guide to the development of a psychometric test is provided. This will enable anyone wishing to develop their own test to plan, design, construct and validate it to a professional standard. This third edition has been extensively updated and expanded to take into account recent developments in the field, making it the ideal companion for those studying for the British Psychological Society’s Certificates of Competence in Testing. Modern Psychometrics combines an up to date scientific approach to the subject with a full consideration of the political and ethical issues involved in the large scale implementation of psychometrics testing in today’s highly networked society, particularly in terms of issues of diversity and internationalism. It will be useful to students and practictioners at all levels who are interested in psychometrics.
Download or read book Radical Solutions and Learning Analytics written by Daniel Burgos and published by Springer Nature. This book was released on 2020-05-08 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the end user, being a student, a teacher, a manager or a persona in a different role, an instructional designer can design a way to produce a practical dashboard that helps him improve that very user’s performance, interaction, motivation or just grading. This book provides a thorough approach on how education, as such, from teaching to learning through management, is improved by a smart analysis of available data, making visible and useful behaviours, predictions and patterns that are hinder to the regular eye without the process of massive data.
Download or read book Secondary Data Analysis written by Kali H. Trzesniewski and published by American Psychological Association (APA). This book was released on 2011 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.
Download or read book Network Psychometrics with R written by Adela-Maria Isvoranu and published by Taylor & Francis. This book was released on 2022-04-28 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book are widely applicable to data sets from related fields of study. Additionally, while the text is written in a non-technical manner, technical content is highlighted in textboxes for the interested reader. Network Psychometrics with R is ideal for instructors and students of undergraduate and graduate level courses and workshops in the field of network psychometrics as well as established researchers looking to master new methods. This book is accompanied by a companion website with resources for both students and lecturers.
Download or read book Talking About Statistics written by Brian S. Everitt and published by John Wiley & Sons. This book was released on 1992-10-06 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adopting a case-study approach, the authors use an example drawn from child psychiatry and follow it through to demonstrate the statistical methods available to tackle a range of research questions and data. Describes how collaborations between statisticians and behavioral scientists can benefit the design and analysis of a practical research project. Includes the latest analytical techniques.
Download or read book Handbook of Educational Measurement and Psychometrics Using R written by Christopher D. Desjardins and published by CRC Press. This book was released on 2018-09-03 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning. This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.
Download or read book Research Methods for Multimode Data Analysis written by Henry G. Law and published by Greenwood. This book was released on 1984 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Research Methods and Data Analysis in Psychology written by Darren Langdridge and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a comprehensive introduction to research methods and data analysis. The book assumes no previous knowledge of research methods or psychology and provides an accessible and jargon-free way into this frequently difficult topic area.
Download or read book Applied Psychometrics using SPSS and AMOS written by Holmes Finch and published by IAP. This book was released on 2016-06-01 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research. Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.
Download or read book Introducing Research and Data in Psychology written by Ann Searle and published by Psychology Press. This book was released on 1999 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing Research and Data in Psychology shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics. The uses, interpretation and calculation of common two sample statistical tests are explained. This comprehensive textbook includes the following designed features to help with technique: Practice exam answers to show how to achieve a higher grade Chapter summaries Glossary Case studies and examples Exercises and a full bibliography.
