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Research methods and statistics for public and nonprofit administrators : a practical guide / Masami Nishishiba, Matthew Jones, Mariah Kraner, Portland State University.

By: Contributor(s): Material type: TextTextPublication details: Los Angeles : SAGE, [2014]Description: xxi, 367 p. : illustrations (some color) ; 23 cmISBN:
  • 9781452203522 (pbk. : alk. paper)
Subject(s): LOC classification:
  • JF1338.A2  N57 2014
Contents:
Preface -- Acknowledgments -- Section I. Research design and data collection -- When a practitioner becomes a researcher -- Research alignment -- Identifying the focus of the research : research objective and research question -- Research design -- Sample selection -- Data collection -- Section II. Data analysis -- Quantitative data preparation and descriptive statistics -- Hypothesis testing and statistical significance : logic of inferential statistics -- Comparing means between two groups -- Comparing means of more than two groups : analysis of variance (ANOVA) -- Bivariate correlation -- Chi-square analysis -- Regression analysis -- Qualitative data analysis -- Section III. Summing up : putting the pieces together -- Writing reports -- Using research methods for continuous improvement : program evaluation and performance measurement -- Appendix A : Additional SPSS and Excel instructions -- Appendix B : Emily's survey form -- Glossary -- Index -- About the authors.
Item type: Research Collection List(s) this item appears in: Research and statstics | Statistics
Holdings
Current library Collection Call number Vol info Status Date due Barcode
Judith Thomas Library Judith Thomas Library Research Section JTL Research Collection JF 1338 .A2 N57 2014 (Browse shelf(Opens below)) AUA017498 Available AUA017498

Includes bibliographical references and index.

Preface --
Acknowledgments --
Section I. Research design and data collection --
When a practitioner becomes a researcher --
Research alignment --
Identifying the focus of the research : research objective and research question --
Research design --
Sample selection --
Data collection --
Section II. Data analysis --
Quantitative data preparation and descriptive statistics --
Hypothesis testing and statistical significance : logic of inferential statistics --
Comparing means between two groups --
Comparing means of more than two groups : analysis of variance (ANOVA) --
Bivariate correlation --
Chi-square analysis --
Regression analysis --
Qualitative data analysis --
Section III. Summing up : putting the pieces together --
Writing reports --
Using research methods for continuous improvement : program evaluation and performance measurement --
Appendix A : Additional SPSS and Excel instructions --
Appendix B : Emily's survey form --
Glossary --
Index --
About the authors.