Applied Social Science Methodology
eBook - PDF

Applied Social Science Methodology

An Introductory Guide

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Applied Social Science Methodology

An Introductory Guide

About this book

This textbook provides a clear, concise, and comprehensive introduction to methodological issues encountered by the various social science disciplines. It emphasizes applications, with detailed examples, so that readers can put these methods to work in their research. Within a unified framework, John Gerring and Dino Christenson integrate a variety of methods - descriptive and causal, observational and experimental, qualitative and quantitative. The text covers a wide range of topics including research design, data-gathering techniques, statistics, theoretical frameworks, and social science writing. It is designed both for those attempting to make sense of social science, as well as those aiming to conduct original research. The text is accompanied by online practice questions, exercises, examples, and additional resources, including related readings and websites. An essential resource for undergraduate and postgraduate programs in communications, criminal justice, economics, business, finance, management, education, environmental policy, international development, law, political science, public health, public policy, social work, sociology, and urban planning.

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Yes, you can access Applied Social Science Methodology by John Gerring,Dino Christenson in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
if
there
was
truly
no
difference
between
means
due
to
actual
differences
in
the
population,
then
the
differences
that
do
show
up
in
the
samples
should
look
like
random
fl
uctuations
about
the
mean
with
most
scores
close
to
the
mean
and
few
scores
in
the
tail.
Indeed
the
difference
in
means
should
overestimate
and
under-
estimate
the
mean
in
roughly
equal
numbers.
In
addition,
the
mean
of
the
difference
in
means
should
be
close
to
zero
as
the
true
central
tendency
of
cases
is
to
have
no
difference
between
the
sample
means.
Figure
21.1
plots
the
histogram
of
differences
overlayed
with
a
polygon.
The
polygon
shows
that
after
only
70
draws
from
each
sample
we
can
already
see
a
shape
that
somewhat
resembles
the
normal
curve,
which
we
should
expect
given
the
central
limit
theorem.
More-
over,
the
mean
is
zero,
which
suggests
the
samples
are
very
similar
to
each
other.
Table
21.3
Distribution
of
differences
between
means
Differences
Frequency
5
1
4
2
3
5
2
7
1
10
0
18
–
1
10
–
2
8
–
3
5
–
4
3
–
5
1
Differences
Frequency
–4
–2
0
2
4
0
5
10
15
Figure
21.1
Histogram
with
polygon
of
differences
between
means
n
318
Bivariate
Statistics

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Table of contents
  6. Detailed Contents
  7. List of Figures
  8. List of Tables
  9. List of Abbreviations and Notation
  10. Acknowledgments
  11. Preface
  12. I Building Blocks
  13. II Causality
  14. III Process and Presentation
  15. IV Statistics
  16. Appendix
  17. Notes
  18. References
  19. Author Index
  20. Subject Index