P. Kellstedt, and G. Whitten. The Fundamentals of Political Science Research, chapter 8, Cambridge University Press, (2008)
Abstract
Once we have set up a hypothesis test and collected data, how do we
evaluate what we have found? In this chapter we provide hands-on discussions of the basic building blocks used to make statistical inferences
about the relationship between two variables. We deal with the oftenmisunderstood topic of ” statistical significance” – focusing both on what it
is and what it is not – as well as the nature of statistical uncertainty. We introduce three ways to examine relationships between two variables: tabular
analysis (crosstabs), difference of means tests, and correlation coefficients.
(We will introduce a fourth technique, bivariate regression analysis, in
Chapter 9.)
%0 Book Section
%1 Kellstedt2008Bivariate
%A Kellstedt, Paul M.
%A Whitten, Guy D.
%B The Fundamentals of Political Science Research
%D 2008
%I Cambridge University Press
%K 00a06-mathematics-for-nonmathematicians 62-01-statistics-instructional-exposition 62f03-parametric-hypothesis-testing 62h17-contingency-tables 91f10-history-political-science
%T Bivariate Hypothesis Testing
%X Once we have set up a hypothesis test and collected data, how do we
evaluate what we have found? In this chapter we provide hands-on discussions of the basic building blocks used to make statistical inferences
about the relationship between two variables. We deal with the oftenmisunderstood topic of ” statistical significance” – focusing both on what it
is and what it is not – as well as the nature of statistical uncertainty. We introduce three ways to examine relationships between two variables: tabular
analysis (crosstabs), difference of means tests, and correlation coefficients.
(We will introduce a fourth technique, bivariate regression analysis, in
Chapter 9.)
%& 8
@incollection{Kellstedt2008Bivariate,
abstract = {{Once we have set up a hypothesis test and collected data, how do we
evaluate what we have found? In this chapter we provide hands-on discussions of the basic building blocks used to make statistical inferences
about the relationship between two variables. We deal with the oftenmisunderstood topic of ” statistical significance” – focusing both on what it
is and what it is not – as well as the nature of statistical uncertainty. We introduce three ways to examine relationships between two variables: tabular
analysis (crosstabs), difference of means tests, and correlation coefficients.
(We will introduce a fourth technique, bivariate regression analysis, in
Chapter 9.)}},
added-at = {2019-03-01T00:11:50.000+0100},
author = {Kellstedt, Paul M. and Whitten, Guy D.},
biburl = {https://www.bibsonomy.org/bibtex/28aca8c461e9f574514d6a0741f05e31e/gdmcbain},
booktitle = {The Fundamentals of Political Science Research},
chapter = 8,
citeulike-article-id = {14584220},
citeulike-attachment-1 = {kellstedt_08_bivariate.pdf; /pdf/user/gdmcbain/article/14584220/1136433/kellstedt_08_bivariate.pdf; 3cc25dd9759c2154cffcd457ec652c7ee4a5a854},
file = {kellstedt_08_bivariate.pdf},
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keywords = {00a06-mathematics-for-nonmathematicians 62-01-statistics-instructional-exposition 62f03-parametric-hypothesis-testing 62h17-contingency-tables 91f10-history-political-science},
posted-at = {2018-05-12 11:20:33},
priority = {2},
publisher = {Cambridge University Press},
timestamp = {2019-03-01T00:11:50.000+0100},
title = {{Bivariate Hypothesis Testing}},
year = 2008
}