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Applying Generalizability Theory Using Edug

Author: Jean Cardinet
Publisher: Taylor & Francis
ISBN: 1135240337
Size: 70.15 MB
Format: PDF, ePub, Docs
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Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline. Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding. Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG. Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.

Multilevel Modeling Of Categorical Outcomes Using Ibm Spss

Author: Ronald H Heck
Publisher: Routledge
ISBN: 1136672346
Size: 75.33 MB
Format: PDF, Docs
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This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

Qualitative Interviews

Author: Sabina Misoch
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110354616
Size: 26.93 MB
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Qualitative interviews are a key tool in modern research practice. What are the different forms of the qualitative interview? Which method is suitable for which situation? How does one conduct qualitative interviews in practice? The book answers these and other questions by presenting methodological principles and different interview methods with schemata, figures, and examples, along with a discussion of their advantages and disadvantages.

Fundamentals Of Measurement In Applied Research

Author: Theresa A. Thorkildsen
Publisher: Allyn & Bacon
ISBN:
Size: 66.57 MB
Format: PDF, Mobi
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This text introduces students to the common measurement tools used in Education and Social Science research so that they can design, produce, and use new research. This text shows how users of research and assessment tools can become proficient in the production of new instruments and understand the skills necessary for constructing new measures. The text reviews details of how psychometric, developmental, and interpretive approaches to measurement are used in a multitude of social sciences, and supporting activities show how researchers use key measurement concepts. The book can be covered one chapter at a time in a formal measurement course or used as a supplementary text for a course on research design.

Grounded Theory

Author: Anselm L. Strauss
Publisher:
ISBN: 9783621272650
Size: 12.86 MB
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Studierende und Forscher verschiedener Disziplinen, die am Entwickeln einer Theorie interessiert sind, stellen sich nach der Datenerhebung oft die Frage: Wie komme ich zu einer Theorie, die sich auf die empirische Realität gründet? Die Autoren beantworten diese und andere Fragen, die sich bei der qualitativen Interpretation von Daten ergeben. Auf klare und einfache Art geschrieben vermittelt das Buch Schritt für Schritt die grundlegenden Kenntnisse und Verfahrensweisen der "grounded theory" (datenbasierte Theorie), so daß es besonders für Personen interessant ist, die sich zum ersten Mal mit der Theorienbildung anhand qualitativer Datenanalyse beschäftigen. Das Buch gliedert sich in drei Teile. Teil I bietet einen Überblick über die Denkweise, die der "grounded theory" zugrunde liegt. Teil II stellt die speziellen Techniken und Verfahrensweisen genau dar, wie z.B. verschiedene Kodierungsarten. In Teil III werden zusätzliche Verfahrensweisen erklärt und Evaluationskriterien genannt.

Grounded Theory

Author: Barney G. Glaser
Publisher:
ISBN: 9783456849065
Size: 10.17 MB
Format: PDF, ePub, Mobi
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Der Klassiker über den qualitativen Forschungsansatz der "Grounded Theory", geschrieben von den Entwicklern dieser Methode "Obwohl unser Buch sich in erster Linie an Soziologen richtet, glauben wir, dass es jedem nutzen kann, der daran interessiert ist, soziale Phänomene zu untersuchen politischer, pädagogischer, wirtschaftlicher, industrieller oder welcher Art auch immer." In der Tat ist "Grounded Theory" quer durch die wissenschaftlichen Disziplinen zum Standardbegriff der qualitativen Sozialforschung ge - worden. Die inzwischen zum Klassiker avancierte Arbeit von Glaser und Strauss eröffnet eine lehrbare und auch lernbare Forschungsstrategie. Das Konzept bietet eine Antwort auf das Problem, die oft schmerzlich empfundene Lücke zwischen empirischer Forschung und Theorie zu schliessen.