Coverart for item
The Resource Data analysis : an introduction, Michael S. Lewis-Beck

Data analysis : an introduction, Michael S. Lewis-Beck

Label
Data analysis : an introduction
Title
Data analysis
Title remainder
an introduction
Statement of responsibility
Michael S. Lewis-Beck
Creator
Subject
Language
eng
Summary
"Written at a level appropriate for the advanced undergraduate course on data analysis, this accessible volume introduces the reader to the "art" of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables. The book focuses on the interpretation of a statistical result, in particular those that come from nonexperimental social research. Using a consistent data set throughout the book in order to illustrate the various analytic techniques, the author covers such topics as univariate statistics, measures of association, the statistical significance of the relationship between two variables, and simple regression where the dependent variable is influenced by a single independent variable. The last chapter offers analysis recommendations. Data Analysis will provide social science researchers with the tools to select and evaluate statistical tests appropriate for their particular research question."--Publisher's description
Cataloging source
UkLiU
http://library.link/vocab/creatorName
Lewis-Beck, Michael S
Index
no index present
LC call number
HA29
LC item number
.L49 1995
Literary form
non fiction
Series statement
Sage university papers series.
Series volume
07-103
http://library.link/vocab/subjectName
Social sciences
Label
Data analysis : an introduction, Michael S. Lewis-Beck
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 75)
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Data gathering -- The research question -- The sample -- The measures -- Data coding, entry, and checking -- 3. Univariate statistics -- Central tendency -- Dispersion -- Central tendency, dispersion, and outliers -- 4. Measures of association -- Correlation -- Ordinal data: the Tau measure of association -- Nominal data: Goodman and Kruskals' lambda -- Dichotomous variables: flexibility of choice -- Summary and conclusion -- 5. Significance testing -- The logic: a simple example -- Applying the logic: bivariate measures of association -- Summary and conclusion -- 6. Simple regression -- Y as a function of X -- The lease squares principle -- Intercept and slope -- Prediction and goodness-of-fit -- Significance tests and confidence intervals -- Presenting regression results: a summary guide -- 7. Multiple regression -- An example -- The notion of statistical control -- Specification error -- Dummy variables -- Collinearity -- Interaction effects -- Nonlinearity -- Summary and conclusion
Dimensions
22 cm.
Extent
ix, 77 p.
Isbn
9780803957725
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
ill.
Label
Data analysis : an introduction, Michael S. Lewis-Beck
Publication
Bibliography note
Includes bibliographical references (p. 75)
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Introduction -- 2. Data gathering -- The research question -- The sample -- The measures -- Data coding, entry, and checking -- 3. Univariate statistics -- Central tendency -- Dispersion -- Central tendency, dispersion, and outliers -- 4. Measures of association -- Correlation -- Ordinal data: the Tau measure of association -- Nominal data: Goodman and Kruskals' lambda -- Dichotomous variables: flexibility of choice -- Summary and conclusion -- 5. Significance testing -- The logic: a simple example -- Applying the logic: bivariate measures of association -- Summary and conclusion -- 6. Simple regression -- Y as a function of X -- The lease squares principle -- Intercept and slope -- Prediction and goodness-of-fit -- Significance tests and confidence intervals -- Presenting regression results: a summary guide -- 7. Multiple regression -- An example -- The notion of statistical control -- Specification error -- Dummy variables -- Collinearity -- Interaction effects -- Nonlinearity -- Summary and conclusion
Dimensions
22 cm.
Extent
ix, 77 p.
Isbn
9780803957725
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
ill.

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