Configural Frequency Analysis: Methods, Models, And Applications
by Alexander von Eye /
2002 / English / PDF
19.8 MB Download
Configural Frequency Analysis
Configural Frequency Analysis (CFA) provides an
up-to-the-minute comprehensive introduction to its techniques,
models, and applications. Written in a formal yet accessible style,
actual empirical data examples are used to illustrate key concepts.
Step-by-step program sequences are used to show readers how to
employ CFA methods using commercial software packages, such as SAS,
SPSS, SYSTAT, S-Plus, or those written specifically to perform
CFA.
(CFA) provides an
up-to-the-minute comprehensive introduction to its techniques,
models, and applications. Written in a formal yet accessible style,
actual empirical data examples are used to illustrate key concepts.
Step-by-step program sequences are used to show readers how to
employ CFA methods using commercial software packages, such as SAS,
SPSS, SYSTAT, S-Plus, or those written specifically to perform
CFA.
CFA is an important method for analyzing results involved with
categorical and longitudinal data. It allows one to answer the
question of whether individual cells or groups of cells of
cross-classifications differ significantly from expectations. The
expectations are calculated using methods employed in log-linear
modeling or a priori information. It is the only statistical method
that allows one to make statements about empty areas in the data
space.
CFA is an important method for analyzing results involved with
categorical and longitudinal data. It allows one to answer the
question of whether individual cells or groups of cells of
cross-classifications differ significantly from expectations. The
expectations are calculated using methods employed in log-linear
modeling or a priori information. It is the only statistical method
that allows one to make statements about empty areas in the data
space.
Applied and or person-oriented researchers, statisticians, and
advanced students interested in CFA and categorical and
longitudinal data will find this book to be a valuable resource.
Developed since 1969, this method is now used by a large number of
researchers around the world in a variety of disciplines, including
psychology, education, medicine, and sociology.
Applied and or person-oriented researchers, statisticians, and
advanced students interested in CFA and categorical and
longitudinal data will find this book to be a valuable resource.
Developed since 1969, this method is now used by a large number of
researchers around the world in a variety of disciplines, including
psychology, education, medicine, and sociology.Configural
Frequency Analysis
Configural
Frequency Analysis will serve as an excellent text for courses
on configural frequency analysis, categorical variable analysis, or
analysis of contingency tables. Prerequisites include an
understanding of descriptive statistics, hypothesis testing,
statistical model fitting, and some understanding of categorical
data analysis and matrix algebra.
will serve as an excellent text for courses
on configural frequency analysis, categorical variable analysis, or
analysis of contingency tables. Prerequisites include an
understanding of descriptive statistics, hypothesis testing,
statistical model fitting, and some understanding of categorical
data analysis and matrix algebra.
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