Data Analytics And Psychometrics

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Data Analytics and Psychometrics

Hong Jiao,Robert W. Lissitz,Anna Van Wie
Data Analytics and Psychometrics Book PDF

Author : Hong Jiao,Robert W. Lissitz,Anna Van Wie
Publisher : IAP
Page : 248 pages
File Size : 44,9 Mb
Release : 2018-12-01
Category : Education
ISBN : 9781641133289

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Data Analytics and Psychometrics by Hong Jiao,Robert W. Lissitz,Anna Van Wie Pdf

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.

Data Analysis for Psychology

George L. Dunbar
Data Analysis for Psychology Book PDF

Author : George L. Dunbar
Publisher : Hodder Education
Page : 176 pages
File Size : 54,7 Mb
Release : 1998
Category : Psychology
ISBN : 0340691360

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Data Analysis for Psychology by George L. Dunbar Pdf

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.

Modern Psychometrics with R

Patrick Mair
Modern Psychometrics with R Book PDF

Author : Patrick Mair
Publisher : Springer
Page : 458 pages
File Size : 49,6 Mb
Release : 2018-09-20
Category : Social Science
ISBN : 9783319931777

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Modern Psychometrics with R by Patrick Mair Pdf

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.

Machine Learning for Big Data Analysis

Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De
Machine Learning for Big Data Analysis Book PDF

Author : Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De
Publisher : Walter de Gruyter GmbH & Co KG
Page : 193 pages
File Size : 52,5 Mb
Release : 2018-12-17
Category : Computers
ISBN : 9783110551433

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Machine Learning for Big Data Analysis by Siddhartha Bhattacharyya,Hrishikesh Bhaumik,Anirban Mukherjee,Sourav De Pdf

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.

Secondary Data Analysis

Kali H. Trzesniewski,M. Brent Donnellan,Richard Eric Lucas
Secondary Data Analysis Book PDF

Author : Kali H. Trzesniewski,M. Brent Donnellan,Richard Eric Lucas
Publisher : American Psychological Association (APA)
Page : 264 pages
File Size : 52,7 Mb
Release : 2011
Category : Psychology
ISBN : UOM:39076002904675

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Secondary Data Analysis by Kali H. Trzesniewski,M. Brent Donnellan,Richard Eric Lucas Pdf

This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.

Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment

Alina A. von Davier,Robert J. Mislevy,Jiangang Hao
Computational Psychometrics New Methodologies for a New Generation of Digital Learning and Assessment Book PDF

Author : Alina A. von Davier,Robert J. Mislevy,Jiangang Hao
Publisher : Springer Nature
Page : 265 pages
File Size : 53,8 Mb
Release : 2022-01-01
Category : Education
ISBN : 9783030743949

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Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment by Alina A. von Davier,Robert J. Mislevy,Jiangang Hao Pdf

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.

Talking About Statistics

Brian S. Everitt,Dale F. Hay
Talking About Statistics Book PDF

Author : Brian S. Everitt,Dale F. Hay
Publisher : John Wiley & Sons
Page : 152 pages
File Size : 44,6 Mb
Release : 1992-10-06
Category : Mathematics
ISBN : UOM:39015028404005

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Talking About Statistics by Brian S. Everitt,Dale F. Hay Pdf

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.

Data Science Foundations

Fionn Murtagh
Data Science Foundations Book PDF

Author : Fionn Murtagh
Publisher : CRC Press
Page : 256 pages
File Size : 45,8 Mb
Release : 2017-09-22
Category : Computers
ISBN : 9781315350493

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Data Science Foundations by Fionn Murtagh Pdf

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods...a very useful text and I would certainly use it in my teaching." - Mark Girolami, Warwick University Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

Network Psychometrics with R

Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom
Network Psychometrics with R Book PDF

Author : Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom
Publisher : Taylor & Francis
Page : 261 pages
File Size : 47,6 Mb
Release : 2022-04-28
Category : Psychology
ISBN : 9781000541076

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Network Psychometrics with R by Adela-Maria Isvoranu,Sacha Epskamp,Lourens Waldorp,Denny Borsboom Pdf

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.

Data Analysis

Edward L. Wike
Data Analysis Book PDF

Author : Edward L. Wike
Publisher : Routledge
Page : 256 pages
File Size : 50,8 Mb
Release : 2018-02-06
Category : Psychology
ISBN : 9781351523622

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Data Analysis by Edward L. Wike Pdf

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.

Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan

Trajkovski, Goran,Demeter, Marylee,Hayes, Heather
Applying Data Science and Learning Analytics Throughout a Learner s Lifespan Book PDF

Author : Trajkovski, Goran,Demeter, Marylee,Hayes, Heather
Publisher : IGI Global
Page : 314 pages
File Size : 54,6 Mb
Release : 2022-05-06
Category : Education
ISBN : 9781799896463

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Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan by Trajkovski, Goran,Demeter, Marylee,Hayes, Heather Pdf

Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner’s lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

Psychometric Testing

Barry Cripps
Psychometric Testing Book PDF

Author : Barry Cripps
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 50,6 Mb
Release : 2017-03-03
Category : Psychology
ISBN : 9781119183006

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Psychometric Testing by Barry Cripps Pdf

Psychometric Testing offers an in-depth examination of the strengths and limitations psychometric testing, with coverage of diverse methods of test development and application. A state-of-the-art exploration of the contemporary field of psychometric testing, bringing together the latest theory and evidence-based practice from 21 global experts Explores a variety of topics related to the field, including test construction, use and applications in human resources and training, assessment and verification of training courses, and consulting Includes applications for clinical psychology, performance psychology, and sport and exercise psychology across a range of professions (research, teaching, coaching, consulting, and advising) Acknowledges the dynamic nature of the field and identifies future directions in need of more research, including Internet and smart phone testing

Modern Psychometrics

John Rust,Susan Golombok
Modern Psychometrics Book PDF

Author : John Rust,Susan Golombok
Publisher : Routledge
Page : 273 pages
File Size : 50,7 Mb
Release : 2014-07-11
Category : Psychology
ISBN : 9781317723776

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Modern Psychometrics by John Rust,Susan Golombok Pdf

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.

A Conceptual Guide to Statistics Using SPSS

Elliot T. Berkman,Steven P. Reise
A Conceptual Guide to Statistics Using SPSS Book PDF

Author : Elliot T. Berkman,Steven P. Reise
Publisher : SAGE
Page : 313 pages
File Size : 55,8 Mb
Release : 2011-04-12
Category : Computers
ISBN : 9781412974066

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A Conceptual Guide to Statistics Using SPSS by Elliot T. Berkman,Steven P. Reise Pdf

"This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level coursesin statistics"--

Statistics and Data Analysis for the Behavioral Sciences

Dana Dunn
Statistics and Data Analysis for the Behavioral Sciences Book PDF

Author : Dana Dunn
Publisher : McGraw-Hill Humanities, Social Sciences & World Languages
Page : 0 pages
File Size : 48,8 Mb
Release : 2001
Category : Psychology
ISBN : 0072347643

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Statistics and Data Analysis for the Behavioral Sciences by Dana Dunn Pdf

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.