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Doing statistical analysis : a student's guide to quantitative research / Christer Thrane.

By: Material type: TextTextPublication details: London : Routledge, Taylor & Francis Group, 2023.Description: 255 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032171326.
Subject(s): LOC classification:
  • HA 29 T47 2023
Contents:
1. What is statistical analysis from a research perspective? -- 2. Descriptive research questions -- 3. Associational research questions I: Bivariate analysis -- 4. Associational research questions II: Multiple regression -- 5. Inferential research questions -- 6. Doing quantitative research: Some tricks of the trade ; Appendix A: Female student weight data.
Summary: This book shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.
List(s) this item appears in: Manila New Acquisitions
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Item type Current library Collection Call number Status Barcode
GS EMILIO AGUINALDO COLLEGE LIBRARY (MANILA CAMPUS) BUILDING 23 CIRCULATION SECTION Circulation GS HA 29 T47 2023 (Browse shelf(Opens below)) Available 029389

Includes appendices and index.

1. What is statistical analysis from a research perspective? -- 2. Descriptive research questions -- 3. Associational research questions I: Bivariate analysis -- 4. Associational research questions II: Multiple regression -- 5. Inferential research questions -- 6. Doing quantitative research: Some tricks of the trade ; Appendix A: Female student weight data.

This book shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.

Graduate School PhD Business Management Quantitative Research Methodologies

English.

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