Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop
more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach
that is easily understood by even the most experienced of researchers.
Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research
presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors
Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using
statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and
test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently
run and accurately interpret the outcomes of these sophisticated computer programs.
This accessible volume will help both novice and experienced health care professionals to
Increase their knowledge of the use of factor analysis in health care research
Understand journal articles that report the use of factor analysis in test construction and instrument development
Create new data collection instruments
Examine the reliability and structure of existing health care instruments
Interpret and report computer-generated output from a factor analysis run
Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research
offers a practical method for developing tests, validating instruments, and reporting outcomes through the use
of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of
additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also
an invaluable resource for health care researchers.