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Multiple regression with discrete dependent variables

Author: John G Orme; Terri Combs-Orme
Publisher: Oxford ; New York : Oxford University Press, 2009.
Series: Pocket guides to social work research methods.
Edition/Format:  eBook : Document : EnglishView all editions and formats
Summary:
Preface. 1. Introduction to Regression Modeling. 2. Regression with a Dichotomous Dependent Variable. 3. Regression with a Polytomous Dependent Variable. 4. Regression with an Ordinal Dependent Variable. 5. Regression with a Count Dependent Variable. Appendix A: Description of Data Sets. Appendix B: Logarithms. Glossary.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Orme, John G.
Multiple regression with discrete dependent variables.
Oxford ; New York : Oxford University Press, 2009
(DLC) 2008030809
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: John G Orme; Terri Combs-Orme
ISBN: 9780195329452 0195329457 0199716293 9780199716296 9786611998509 6611998500 1281998508 9781281998507
OCLC Number: 654775873
Language Note: English.
Description: 1 online resource (xvii, 206 pages) : illustrations
Contents: 1 Introduction to Regression Modeling; 2 Regression with a Dichotomous Dependent Variable; 3 Regression with a Polytomous Dependent Variable; 4 Regression with an Ordinal Dependent Variable; 5 Regression with a Count Dependent Variable; Glossary; Appendix A: Description of Data Sets; Appendix B: Logarithms; References; Index.
Series Title: Pocket guides to social work research methods.
Responsibility: John G. Orme, Terri Combs-Orme.

Abstract:

Preface. 1. Introduction to Regression Modeling. 2. Regression with a Dichotomous Dependent Variable. 3. Regression with a Polytomous Dependent Variable. 4. Regression with an Ordinal Dependent Variable. 5. Regression with a Count Dependent Variable. Appendix A: Description of Data Sets. Appendix B: Logarithms. Glossary.

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<http:\/\/www.worldcat.org\/oclc\/654775873<\/a>> # Multiple regression with discrete dependent variables<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Book<\/a>, schema:MediaObject<\/a>, schema:CreativeWork<\/a> ;\u00A0\u00A0\u00A0\nlibrary:oclcnum<\/a> \"654775873<\/span>\" ;\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/140199615#Place\/oxford<\/a>> ; # Oxford<\/span>\n\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/dbpedia.org\/resource\/New_York_City<\/a>> ; # New York<\/span>\n\u00A0\u00A0\u00A0\nlibrary:placeOfPublication<\/a> <http:\/\/id.loc.gov\/vocabulary\/countries\/enk<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.worldcat.org\/fast\/1123288<\/a>> ; # Social service--Statistical methods<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.loc.gov\/authorities\/subjects\/sh2010113792<\/a>> ; # Social service--Statistical methods<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/id.worldcat.org\/fast\/1432090<\/a>> ; # Regression analysis<\/span>\n\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/dewey.info\/class\/519.536\/e22\/<\/a>> ;\u00A0\u00A0\u00A0\nschema:about<\/a> <http:\/\/experiment.worldcat.org\/entity\/work\/data\/140199615#Topic\/mathematics_probability_&_statistics_regression_analysis<\/a>> ; # MATHEMATICS--Probability & Statistics--Regression Analysis<\/span>\n\u00A0\u00A0\u00A0\nschema:bookFormat<\/a> schema:EBook<\/a> ;\u00A0\u00A0\u00A0\nschema:contributor<\/a> <http:\/\/viaf.org\/viaf\/274192135<\/a>> ; # Terri Combs-Orme<\/span>\n\u00A0\u00A0\u00A0\nschema:creator<\/a> <http:\/\/viaf.org\/viaf\/28750182<\/a>> ; # John G. 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<http:\/\/experiment.worldcat.org\/entity\/work\/data\/140199615#Place\/oxford<\/a>> # Oxford<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Place<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Oxford<\/span>\" ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
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<http:\/\/id.worldcat.org\/fast\/1432090<\/a>> # Regression analysis<\/span>\n\u00A0\u00A0\u00A0\u00A0a \nschema:Intangible<\/a> ;\u00A0\u00A0\u00A0\nschema:name<\/a> \"Regression analysis<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\u00A0.\n\n\n<\/div>\n
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