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For courses in Research Methods, Reading and Understanding
Research, and Quantitative Methods/Statistics. This uniquely
accessible text shows precisely how to decipher and critique
statistically-based research reports. Praised for its
non-intimidating writing style, the text emphasizes concepts over
formulas. The 6th edition contains 492 new excerpts drawn from
recent journal articles, as well as three new chapters. An
author-generated companion website has chapter outlines and
quizzes, lists of misconceptions, links to online resources, and
more.(www.readingstats.com) Reading Statistics and Research gives
readers the knowledge and confidence they need to understand,
evaluate, and write research reports.
This engaging book helps readers identify and then discard 52
misconceptions about data and statistical summaries. The focus is
on major concepts contained in typical undergraduate and graduate
courses in statistics, research methods, or quantitative analysis.
Interactive Internet exercises that further promote undoing the
misconceptions are found on the book's website. The author's
accessible discussion of each misconception has five parts: The
Misconception - a brief description of the misunderstanding
Evidence that the Misconception Exists - examples and claimed
prevalence Why the Misconception is Dangerous - consequence of
having the misunderstanding Undoing the Misconception - how to
think correctly about the concept Internet Assignment - an
interactive activity to help readers gain a firm grasp of the
statistical concept and overcome the misconception. The book's
statistical misconceptions are grouped into 12 chapters that match
the topics typically taught in introductory/intermediate courses.
However, each of the 52 discussions is self-contained, thus
allowing the misconceptions to be covered in any order without
confusing the reader. Organized and presented in this manner, the
book is an ideal supplement for any standard textbook. An ideal
supplement for undergraduate and graduate courses in statistics,
research methods, or quantitative analysis taught in psychology,
education, business, nursing, medicine, and the social sciences.
The book also appeals to independent researchers interested in
undoing their statistical misconceptions.
This engaging book helps readers identify and then discard 52
misconceptions about data and statistical summaries. The focus is
on major concepts contained in typical undergraduate and graduate
courses in statistics, research methods, or quantitative analysis.
Interactive Internet exercises that further promote undoing the
misconceptions are found on the book's website. The author's
accessible discussion of each misconception has five parts: The
Misconception - a brief description of the misunderstanding
Evidence that the Misconception Exists - examples and claimed
prevalence Why the Misconception is Dangerous - consequence of
having the misunderstanding Undoing the Misconception - how to
think correctly about the concept Internet Assignment - an
interactive activity to help readers gain a firm grasp of the
statistical concept and overcome the misconception. The book's
statistical misconceptions are grouped into 12 chapters that match
the topics typically taught in introductory/intermediate courses.
However, each of the 52 discussions is self-contained, thus
allowing the misconceptions to be covered in any order without
confusing the reader. Organized and presented in this manner, the
book is an ideal supplement for any standard textbook. An ideal
supplement for undergraduate and graduate courses in statistics,
research methods, or quantitative analysis taught in psychology,
education, business, nursing, medicine, and the social sciences.
The book also appeals to independent researchers interested in
undoing their statistical misconceptions.
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