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Learning from Media: Arguments, Analysis and Evidence, Richard E. Clark


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Автор: Richard E. Clark
Название:  Learning from Media: Arguments, Analysis and Evidence
ISBN: 9781617358104
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 161735810X
Обложка/Формат: Paperback
Страницы: 275
Вес: 0.39 кг.
Дата издания: 30.04.2012
Серия: Perspectives in instructional technology & distance education
Язык: English
Издание: 2 revised edition
Иллюстрации: Black & white illustrations
Размер: 234 x 156 x 15
Читательская аудитория: Professional and scholarly
Ключевые слова: Open learning, home learning, distance education
Подзаголовок: Arguments, analysis and evidence
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Поставляется из: Англии
Описание: Richard Clarks observation that ...media are mere vehicles that deliver instruction but do not influence student achievement any more than the truck that delivers our groceries causes changes in our nutrition is as misunderstood today as it was when first published in the Review of Educational Research in 1983. The convincing if little read scientific evidence presented by Clark has divided the field and caused considerable concern, especially among the providers of newer media for learning. A collection of writings about the media effects debate, as it has come to be called, was published in 2001. Edited by Clark, Learning From Media was the first volume in the series Perspectives in Instructional Technology and Distance Education. The series editors are convinced that the writings of Clark and those who take issue with his position are of critical importance to the field of instructional technology, Thus, a revised, second edition of Learning From Media is now being offered. The debate about the impact of media on learning remains a fundamental issue as new mediated approaches to teaching and learning are developed, and Clarks work should be at the center of the discussion. The critical articles on both sides of this debate are contained in Learning From Media, 2nd Edition.


Автор: Udo Kuckartz
Название: Qualitative Content Analysis: Methods, Practice and Software
ISBN: 1529609135 ISBN-13(EAN): 9781529609134
Издательство: Sage Publications
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Цена: 6651.00 р.
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Описание: Are you working with qualitative data but unsure how to approach your analysis? 

This hands-on guide to qualitative content analysis from two internationally renowned experts provides you with a clear strategy for analysing your data, whether you are working with social media content, field notes, images, narratives or focus group data. Using qualitative interviews as an example, the book provides a clear structure for approaching your analysis that can be adapted for your research project. 

Explaining how qualitative content analysis differs from quantitative methods, the book provides you with:
•a solid understanding of the principles behind QCA 
•a step-by-step guide to three types of QCA
•guidance on how you can use software to enhance your analysis.

Data analysis for social science :

Автор: Llaudet, Elena,
Название: Data analysis for social science :
ISBN: 0691199426 ISBN-13(EAN): 9780691199429
Издательство: Wiley
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Цена: 16632.00 р.
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Описание: An ideal textbook for an introductory course on quantitative methods for social scientists-assumes no prior knowledge of statistics or codingData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Using plain language and assuming no prior knowledge of statistics and coding, the book provides a step-by-step guide to analyzing real-world data with the statistical program R for the purpose of answering a wide range of substantive social science questions. It teaches not only how to perform the analyses but also how to interpret results and identify strengths and limitations.

This one-of-a-kind textbook includes supplemental materials to accommodate students with minimal knowledge of math and clearly identifies sections with more advanced material so that readers can skip them if they so choose. Analyzes real-world data using the powerful, open-sourced statistical program R, which is free for everyone to useTeaches how to measure, predict, and explain quantities of interest based on dataShows how to infer population characteristics using survey research, predict outcomes using linear models, and estimate causal effects with and without randomized experimentsAssumes no prior knowledge of statistics or codingSpecifically designed to accommodate students with a variety of math backgroundsProvides cheatsheets of statistical concepts and R codeSupporting materials available online, including real-world datasets and the code to analyze them, plus-for instructor use-sample syllabi, sample lecture slides, additional datasets, and additional exercises with solutionsLooking for a more advanced introduction? Consider Quantitative Social Science by Kosuke Imai. In addition to covering the material in Data Analysis for Social Science, it teaches diffs-in-diffs models, heterogeneous effects, text analysis, and regression discontinuity designs, among other things.

Statistical methods for meta-analysis /

Автор: Hedges, Larry V.
Название: Statistical methods for meta-analysis /
ISBN: 0123363802 ISBN-13(EAN): 9780123363800
Издательство: Elsevier Science
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Цена: 8420.00 р.
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Описание: The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical.

In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.

Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

Meta-analysis with r

Автор: Schwarzer, Guido Carpenter, James R. Rucker, Gerta
Название: Meta-analysis with r
ISBN: 3319214152 ISBN-13(EAN): 9783319214153
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. multivariate meta-analysis, network meta-analysis;

Автор: Starr, Karen
Название: Education Policy, Neoliberalism, and Leadership Practice
ISBN: 1138721034 ISBN-13(EAN): 9781138721036
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание: Education Policy, Neoliberalism, and Leadership Practice is a foundational book describing all aspects of neoliberalism and its broad scale impact in education.

Автор: Liu, Xing
Название: Categorical data analysis and multilevel modeling using r
ISBN: 1544324901 ISBN-13(EAN): 9781544324906
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание:

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.

Secondary data in mixed methods research

Автор: Watkins, Daphne C
Название: Secondary data in mixed methods research
ISBN: 1506389570 ISBN-13(EAN): 9781506389578
Издательство: Sage Publications
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Цена: 5542.00 р.
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Описание: Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.

Models and Methods in Social Network Analysis

Автор: Edited by Peter J. Carrington
Название: Models and Methods in Social Network Analysis
ISBN: 0521809592 ISBN-13(EAN): 9780521809597
Издательство: Cambridge Academ
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Цена: 15682.00 р.
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Описание: This book consists of review articles by leading methodologists, all commissioned exclusively for this volume. The book will complement the classic text by Wasserman and Faust, Social Network Analysis: Methods and Applications (also available from Cambridge University Press).

Evidence and Expertise in Nordic Education Policy

Автор: Karseth
Название: Evidence and Expertise in Nordic Education Policy
ISBN: 3030919587 ISBN-13(EAN): 9783030919580
Издательство: Springer
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Цена: 5589.00 р.
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Описание: This open access book explores how policy makers draw on national, regional and international expertise in issuing school reform within five Nordic countries.

The Humanities, Higher Education, and Academic Freedom

Автор: Bйrubй Michael
Название: The Humanities, Higher Education, and Academic Freedom
ISBN: 1137506113 ISBN-13(EAN): 9781137506115
Издательство: Springer
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Цена: 2794.00 р.
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Описание: This book is a lively, passionate defence of contemporary work in the humanities, and, beyond that, of the university system that makes such work possible. The book`s stark accounts of academic labour, and its proposals for reform of the tenure system, are novel, controversial, timely, and very necessary.

Fuzzy Set Analysis for Behavioral and Social Sciences

Автор: Michael Smithson
Название: Fuzzy Set Analysis for Behavioral and Social Sciences
ISBN: 0387964312 ISBN-13(EAN): 9780387964317
Издательство: Springer
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Цена: 16769.00 р.
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Conceptual and Numerical Analysis of Data

Автор: Otto Opitz; W. Gaul; H. Schnelling; P.O. Degens
Название: Conceptual and Numerical Analysis of Data
ISBN: 3540516417 ISBN-13(EAN): 9783540516415
Издательство: Springer
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Цена: 15372.00 р.
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Описание: x Several problems of concept analysis, cluster analysis, data analysis and multivariate statistics are considered in 18 pa- pers of section 1.


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