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Analysis of Pretest-Posttest Designs (Paperback)
Loot Price: R1,413
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Analysis of Pretest-Posttest Designs (Paperback)
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How do you analyze pretest-posttest data? Difference scores?
Percent change scores? ANOVA? In medical, psychological,
sociological, and educational studies, researchers often design
experiments in which they collect baseline (pretest) data prior to
randomization. However, they often find it difficult to decide
which method of statistical analysis is most appropriate to use.
Until now, consulting the available literature would prove a long
and arduous task, with papers sparsely scattered throughout
journals and textbook references few and far between. Analysis of
Pretest-Posttest Designs brings welcome relief from this conundrum.
This one-stop reference - written specifically for researchers -
answers the questions and helps clear the confusion about analyzing
pretest-posttest data. Keeping derivations to a minimum and
offering real life examples from a range of disciplines, the author
gathers and elucidates the concepts and techniques most useful for
studies incorporating baseline data. Understand the pros and cons
of different methods - ANOVA, ANCOVA, percent change, difference
scores, and more Learn to choose the most appropriate statistical
test - Numerous Monte Carlo simulations compare the various tests
and help you select the one best suited to your data Tackle more
difficult analyses - The extensive SAS code included saves you
programming time and effort Requiring just a basic background in
statistics and experimental design, this book incorporates most, if
not all of the reference material that deals with pretest-posttest
data. If you use baseline data in your studies, Analysis of
Pretest-Posttest Designs will save you time, increase your
understanding, and ultimately improve the interpretation and
analysis of your data.
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