An Exploratory Factor Analysis of the Character Assessment Scale PDF Download

Author: Kenneth E. Lloyd
Publisher:
ISBN:
Category : Character Assessment Scale
Languages : en
Pages : 186

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Author: Suzanne Woods-Groves
Publisher:
ISBN:
Category :
Languages : en
Pages : 230

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Forty-four sixth, seventh, and eighth grade teachers from two rural southern counties completed a HBRS for 320 of their students. Cronbach's alpha was used to examine the internal consistency for each grade: for the five dimensions of the HBRS: persistence, curiosity, externalizing affect, internalizing affect, and cognition. Reliability coefficients ranged from .91 to .98.

Author: Ertel, Suitbert
Publisher: Universitätsverlag Göttingen
ISBN: 3863951336
Category : Psychology
Languages : en
Pages : 167

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Book Description
Exploratory factor analysis (EFA) is a statistical tool for digging out hidden factors which give rise to the diversity of manifest objectives in psychology, medicine and other sciences. EFA had its heyday as psychologist Leon Thurstone (1935 and 1948) based EFA on what he called the “principle of simple structure” (SS). This principle, however, was erroneous from the beginning what remained unrecognized despite subsequent inventions of more sophisticated statistical tools such as confirmatory analysis and structural equation modeling. These methods are highly recommended today as tolerable routes to model complexities of observation. But they did not remove the harmful errors that SS had left behind. Five chapters in this book demonstrate and explain the trouble. In chapter 2 the ailment of SS is healed by introducing an unconventional factor rotation, called Varimin. Varimin gives variables of an analysis an optimal opportunity to manifest functional interrelations underlying correlational observations. Ten applications of Varimin (in chapter 2) show that its results are superior to results obtained by the conventional Varimax procedure. Further applications are presented for sports achievements (chapter 3), intelligence (chapter 4), and personality (chapter 5). If Varimin keeps on standing the tests new theoretical building blocks will arise together with conceptual networks promoting a better understanding of the domains under study. Readers may check this prognosis by themselves using the statistical tool (Varimin) which is provided by open access in the internet.

Author: Gregory J Boyle
Publisher: SAGE
ISBN: 144620703X
Category : Psychology
Languages : en
Pages : 745

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Book Description
A definitive, authoritative and up-to-date resource for anyone interested in the theories, models and assessment methods used for understanding the many factes of Human personality and individual differences This brand new Handbook of Personality Theory and Assessment 2-Volume Set constitutes an essential resource for shaping the future of the scientific foundation of personality research, measurement, and practice. There is need for an up-to-date and international Handbook that reviews the major contemporary personality models Vol. 1 and associated psychometric measurement instruments Vol. 2 that underpin the scientific study of this important area of individual differences psychology, and in these two Handbooks this is very much achieved. Made unique by its depth and breadth the Handbooks are internationally edited and authored by Professors Gregory J. Boyle, Gerald Matthews, and Donald H. Saklofske and authored by internationally known academics, this work will be an important reference work for a host of researchers and practitioners in the fields of individual differences and personality assessment, clinical psychology, educational psychology, work and organizational psychology, health psychology and other applied fields as well. Volume 2: Personality Measurement and Assessment. Covers psychometric measurement of personality and has coverage of the following broad topics, listed by section heading: " General Methodological Issues " Multidimensional Personality Instruments " Assessment of Biologically-Based Traits " Assessment of Self-Regulative Traits " Implicit, Projective And Objective Measures Of Personality " Abnormal Personality Trait Instruments " Applications of Psychological Testing

Author: W. Holmes Finch
Publisher: SAGE Publications
ISBN: 1544339879
Category : Social Science
Languages : en
Pages : 133

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Book Description
A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.

Author: Leandre R. Fabrigar
Publisher: Oxford University Press
ISBN: 0199734178
Category : Medical
Languages : en
Pages : 170

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Book Description
This book provides a non-mathematical introduction to the theory and application of Exploratory Factor Analysis. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, and procedures for determining the appropriate number of factors.

Author: Jason W. Osborne
Publisher: Createspace Independent Publishing Platform
ISBN: 9781500594343
Category : Factor analysis
Languages : en
Pages : 0

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Book Description
Best Practices in Exploratory Factor Analysis (EFA) is a practitioner-oriented look at this popular and often-misunderstood statistical technique. We avoid formulas and matrix algebra, instead focusing on evidence-based best practices so you can focus on getting the most from your data.Each chapter reviews important concepts, uses real-world data to provide authentic examples of analyses, and provides guidance for interpreting the results of these analysis. Not only does this book clarify often-confusing issues like various extraction techniques, what rotation is really rotating, and how to use parallel analysis and MAP criteria to decide how many factors you have, but it also introduces replication statistics and bootstrap analysis so that you can better understand how precisely your data are helping you estimate population parameters. Bootstrap analysis also informs readers of your work as to the likelihood of replication, which can give you more credibility. At the end of each chapter, the author has recommendations as to how to enhance your mastery of the material, including access to the data sets used in the chapter through his web site. Other resources include syntax and macros for easily incorporating these progressive aspects of exploratory factor analysis into your practice. The web site will also include enrichment activities, answer keys to select exercises, and other resources. The fourth "best practices" book by the author, Best Practices in Exploratory Factor Analysis continues the tradition of clearly-written, accessible guides for those just learning quantitative methods or for those who have been researching for decades.NEW in August 2014! Chapters on factor scores, higher-order factor analysis, and reliability. Chapters: 1 INTRODUCTION TO EXPLORATORY FACTOR ANALYSIS 2 EXTRACTION AND ROTATION 3 SAMPLE SIZE MATTERS 4 REPLICATION STATISTICS IN EFA 5 BOOTSTRAP APPLICATIONS IN EFA 6 DATA CLEANING AND EFA 7 ARE FACTOR SCORES A GOOD IDEA? 8 HIGHER ORDER FACTORS 9 AFTER THE EFA: INTERNAL CONSISTENCY 10 SUMMARY AND CONCLUSIONS

Author: Deborah L. Bandalos
Publisher: Guilford Publications
ISBN: 1462532136
Category : Social Science
Languages : en
Pages : 686

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Book Description
Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. ÿ

Author: Larry Hatcher
Publisher: SAS Institute
ISBN: 1612903878
Category : Computers
Languages : en
Pages : 444

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Book Description
Annotation Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all userseven those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures.

Author: Jacques S. Benninga
Publisher: IAP
ISBN: 1641135115
Category : Education
Languages : en
Pages : 79

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Book Description
The Journal of Character Education is the only professional journal in education devoted to character education. It is designed to cover the field—from the latest research to applied best practices. We include original research reports, editorials and conceptual articles by the best minds in our field, reviews of the latest books, and other relevant strategies and manuscripts by educators that describe best practices in teaching and learning related to character education. The Journal of Character Education has for over a decade been the sole scholarly journal focused on research, theory, measurement, and practice of character education. This issue includes a "Voices" section highlighting the 2017 Character.org "Sandy Award" recipient, along with four peer-reviewed articles, and a book review.