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Item Response Theory (Understanding Statistics) ePub download

by Christine DeMars

  • Author: Christine DeMars
  • ISBN: 0195377036
  • ISBN13: 978-0195377033
  • ePub: 1672 kb | FB2: 1278 kb
  • Language: English
  • Category: Mathematics
  • Publisher: Oxford University Press; 1 edition (April 30, 2010)
  • Pages: 144
  • Rating: 4.6/5
  • Votes: 759
  • Format: docx mbr lrf rtf
Item Response Theory (Understanding Statistics) ePub download

Item Response Theory (Understanding Statistics). This book provides a thorough overview of item response theory methodology, with a nice blend of theoretical psychometrics and practical applications

Item Response Theory (Understanding Statistics). This book provides a thorough overview of item response theory methodology, with a nice blend of theoretical psychometrics and practical applications. The coverage is quite complete, including the standard dichotomous and polytomous unidimensional models as well as multidimensional models. The examples are very useful.

The Basics of Item Response Theory Using R. .Item Response Theory (Understanding Statistics).

Only 7 left in stock (more on the way). The Theory and Practice of Item Response Theory (Methodology in the Social Sciences).

Each volume in the series demonstrates how the relevant topic should be reported - including detail surrounding what can be said, and how it should be said, as well as drawing boundaries around what cannot appropriately be claimed or inferred.

Item Response Theory Christine DeMars. Reliability Patrick Meyer. Exploratory Factor Analysis Leandre Fabrigar and Duane Wegener. Validity Catherine Taylor. Multilevel Modeling Joop Hox. Qualitative.

Item Response Theory book. Item Response Theory is used to describe the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables.

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Christine DeMars - Item Response Theory (Understanding Statistics). Simone de Beauvoir (Directrice de publication), Christine Delphy, Liliane Kandel, . Monique Wittig, Emmanuele de Lesseps, Monique Plaza, Michèle Le Doeuff, Alice Braitberg - Questions féministes, n° 7, février 1980 issue 7. Monique Wittig, Emmanuele de Lesseps, Monique Plaza, Michèle Le Doeuff, Alice Braitberg.

Christine DeMars, quot;Item Response Theory (Understanding Statistics)quot; Oxford University Press 2010 .

Although Demars' IRT can be considered to be an introductory book (and requires almost no math/stats background) it covers a variety of topics about Item Response Theory.

The Item Response Theory helps to build questionaries evaluating several dimensions of a fenomena I understood the fundamental part of the item response theory (eg how to estimate using R, how to think about equalization, et. So, what is the current hot topic in th.

The Item Response Theory helps to build questionaries evaluating several dimensions of a fenomena. It also alows to evaluate the understanding of the questions by the respondents. The current softwares about this methodology are expensives or complex to manager. I am looking for a free or low cost software for doing such analysis.

This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported -- including detail surrounding what can be said, and how it should be said, as well as drawing boundaries around what cannot appropriately be claimed or inferred. This volume addresses an important issue for the design of survey instruments, which is rarely taught in graduate programs beyond those specifically for statisticians. Item Response Theory is used to describe the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. It is used for statistical analysis and development of assessments, often for high stakes tests such as the Graduate Record Examination. The author is known for her clear, accessible writing; like all books in this series, this volume includes examples of both good and bad write-ups for methods sections of journal articles.
Wat!?
The book is a big disappointment. The idea (for this series of book) is to try to explain complicated statistical methods to non-statisticians. It tries to avoid using mathematical equations. The book actually goes into a lot of depth in statistics. But, it is difficult to understand especially without any formulas. It seems like the author keeps on quoting statistical facts. I would recommend using a real statistical book on Item Response Theory instead of this one.
Zeli
Do not let its small size make you underestimate the scope of this book. Although Demars' IRT can be considered to be an introductory book (and requires almost no math/stats background) it covers a variety of topics about Item Response Theory. As a result of a comprehensive survey of the related literature, the author provides nuggets of information about a wide range of rules of thumb and analysis alternatives. But I must warn that due to its direct approach and a kind of fast pace, this book is not the best option if it will be your first encounter with IRT. On the other hand, you will get the most of it if you have some conceptual experience and planning to develop a IRT-based scale (or conduct an IRT Analysis) for the first time. It may sound weird but the biggest downside of the book is that it is an IRT book! That means the author does not subscribe to the Rasch Measurement Philosophy (Of course this will not be viewed as a flaw by many).
showtime
Though there are many books on item response theory, this one is quite good as an introductory level book that includes the latest developments in the area.
Zieryn
This book is a clear concise summary of the principles of item response theory, written by a leader in the field. It is a great value!
Madis
Note that this cannot be read in Android OS... the "print replica" part means that will not display in Android. Did not understood that until failed to download and danced with support for a bit. Other than that good book.
Urllet
I hope more this book, it is small and the letter is to small.
May be I would to read carrefull the page.
Flavio
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