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Books > Social sciences > Education > Organization & management of education
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Applied Psychometrics Using SAS (Hardcover)
Loot Price: R2,698
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Applied Psychometrics Using SAS (Hardcover)
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The book is designed primarily for graduate students (or advanced
undergraduates) who are learning psychometrics, as well as
professionals in the field who need a reference for use in their
practice. We would assume that users have some basic knowledge of
using SAS to read data and conduct basic analyses (e.g.,
descriptive statistics, frequency distributions). In addition, the
reader should be familiar with basic statistical concepts such as
descriptive statistics (e.g., mean, median, variance, standard
deviation), percentiles and the rudiments of hypothesis testing.
They should also have a passing familiarity with issues in
psychometrics such as reliability, validity and test/survey
scoring. The authors do not assume any more than basic familiarity
with these issues, and devote a portion of each chapter (as well as
the entire first chapter) to reviewing many of these basic ideas
for those not familiar with them. This book will be useful either
as a primary text for a course on applied measurement where SAS is
the main platform for instruction, or as a supplement to a more
theoretical text. The readership will include graduate students,
faculty members, data analysts and psychometricians responsible for
analysis of survey response data, as well as educational and
psychological assessments. This book aims to provide readers with
the tools necessary for assessing the psychometric qualities of
educational and psychological measures as well as surveys and
questionnaires. Each chapter covers an issue pertinent to
psychometric and measurement practice, with an emphasis on
application. Topics are briefly discussed from a
theoretical/technical perspective in order to provide the reader
with the background necessary to correctly use and interpret the
statistical analyses that is presented subsequently. Readers are
then presented with examples illustrating a particular concept
(e.g., reliability). These examples include a discussion of the
particular analysis, along with the SAS code necessary to conduct
them. The resulting output is then discussed in detail, focusing on
the interpretation of the results. Finally, examples of how these
results might be written up is also included in the text. This
mixture of theory with examples of actual practice will serve the
reader both as a pedagogical tool and as a reference work.
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