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This book provides descriptions and illustrations of cutting-edge
text analysis methods for communication and marketing research;
cultural, historical-comparative, and event analysis; curriculum
evaluation; psychological diagnosis; language development research;
and for any research in which statistical inferences are drawn from
samples of texts. Although the book is accessible to readers having
no experience with content analysis, the text analysis expert will
find substantial new material in its pages. In particular, this
collection describes developments in semantic and network text
analysis methodologies that heretofore have been accessible only
among a smattering of methodology journals.
The book's international and cross-disciplinary content
illustrates the breadth of quantitative text analysis applications.
These applications demonstrate the methods' utility for
international research, as well as for practitioners from the
fields of sociology, political science, journalism/communication,
computer science, marketing, education, and English. This is an
"ecumenical" collection that contains applications not only of the
most recent semantic and network text analysis methods, but also of
the more traditional thematic method of text analysis. In fact, it
is originally with this volume that these two "relational"
approaches to text analysis are defined and contrasted with more
traditional "thematic" text analysis methods. The emphasis here is
on "application." The book's chapters provide guidance regarding
the sorts of inferences that each method affords, and up-to-date
descriptions of the human and technological resources required to
apply the methods. Its purpose is as a resource for making
quantitative text analysis methods more accessible to social
science researchers.
This book provides descriptions and illustrations of cutting-edge
text analysis methods for communication and marketing research;
cultural, historical-comparative, and event analysis; curriculum
evaluation; psychological diagnosis; language development research;
and for any research in which statistical inferences are drawn from
samples of texts. Although the book is accessible to readers having
no experience with content analysis, the text analysis expert will
find substantial new material in its pages. In particular, this
collection describes developments in semantic and network text
analysis methodologies that heretofore have been accessible only
among a smattering of methodology journals.
The book's international and cross-disciplinary content
illustrates the breadth of quantitative text analysis applications.
These applications demonstrate the methods' utility for
international research, as well as for practitioners from the
fields of sociology, political science, journalism/communication,
computer science, marketing, education, and English. This is an
"ecumenical" collection that contains applications not only of the
most recent semantic and network text analysis methods, but also of
the more traditional thematic method of text analysis. In fact, it
is originally with this volume that these two "relational"
approaches to text analysis are defined and contrasted with more
traditional "thematic" text analysis methods. The emphasis here is
on "application." The book's chapters provide guidance regarding
the sorts of inferences that each method affords, and up-to-date
descriptions of the human and technological resources required to
apply the methods. Its purpose is as a resource for making
quantitative text analysis methods more accessible to social
science researchers.
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