Constructing Measures introduces a way to understand the advantages
and disadvantages of measurement instruments. It explains the ways
to use such instruments, and how to apply these methods to develop
new instruments or adapt old ones, based on item response modeling
and construct references. Now in its second edition, this book
focuses on the steps taken while constructing an instrument, and
breaks down the "building blocks" that make up an instrument-the
construct map, the design plan for the items, the outcome space,
and the statistical measurement model. The material covers a
variety of item formats, including multiple-choice, open-ended, and
performance items, projects, portfolios, Likert and Guttman items,
behavioral observations, and interview protocols. Each chapter
includes an overview of the key concepts, related resources for
further investigation, and exercises and activities. A variety of
examples from the behavioral and social sciences and
education-including achievement and performance testing, attitude
measures, health measures, and general sociological
scales-demonstrate the application of the material. Accompanying
downloadable resources feature control files, output, and a data
set to allow readers to compute the text's exercises and create new
analyses and case archives based on the book's examples so the
reader can work through the entire development of an instrument.
New to this edition are additional example contexts including a
cognitive/achievement example, an attitude example, and a
behavioral example; new concentrations on specific measurement
issues and practices such as standard-setting, computer-delivery
and reporting, and going beyond the Likert response format; and
updated online resource with new materials, such as selected
research articles with data sets and teaching resources like a
syllabus and PowerPoint slides. Constructing Measures is an
invaluable text for undergraduate and graduate courses on item,
test, or instrument development; measurement; item response theory;
or Rasch analysis taught in a variety of departments including
education, statistics, and psychology. The book also appeals to
practitioners who develop instruments, including
industrial/organizational, educational, and school psychologists;
health outcomes researchers; program evaluators; and sociological
measurers.
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