MARC details
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| fixed length control field |
05636nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251011160914.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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251011b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781032171326 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.5 |
| Item number |
THR |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Thrane, Christer |
| 245 ## - TITLE STATEMENT |
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| Title |
Doing statistical analysis: |
| Remainder of title |
a student's guide to quantitative research |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc. |
New York |
| Name of publisher, distributor, etc. |
Routledge |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
vii, 255 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
INR |
| Price amount |
6365.69 |
| 500 ## - GENERAL NOTE |
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| General note |
Table of contents:<br/>Acknowledgments<br/><br/>1. What is statistical analysis from a research perspective?<br/><br/>1.1 A statistical association: Covid-19 spread and residential property prices<br/><br/>1.2 Why do statistical analysis in research? The book’s purpose and pedagogical approach<br/><br/>1.3 Three types of statistical research questions: Descriptive, associational, and inferential<br/><br/>1.4 Some key concepts you really should understand<br/><br/>1.5 Chapter summary, key learning points, and the organization of the rest of the book<br/><br/>2. Descriptive research questions<br/><br/>2.1 Introduction and chapter overview<br/><br/>2.2 What is typical? Three measures of central tendency: Mean, median, and mode<br/><br/>2.3 Variables’ measurement levels: Continuous or categorical variables<br/><br/>2.4 Ordinal variables: A third and special-case measurement level<br/><br/>2.5 Visual presentation of descriptive statistics: Graphs<br/><br/>2.6 The concept of variation: Statistical spread for continuous variables<br/><br/>2.7 Foreshadowing associational research questions: Descriptive statistics for subgroups<br/><br/>2.8 Chapter summary, key learning points, and further reading<br/><br/>2.9 Executing statistical commands: do-files in Stata and syntax-files in SPSS<br/><br/>2.10 Chapter exercises with solutions<br/><br/>Appendix A: Christmas beer data<br/><br/>Appendix B: Soccer data<br/><br/>Appendix C: Student exercise data<br/><br/>3. Associational research questions I: Bivariate analysis<br/><br/>3.1 Introduction: The association between two variables, x and y<br/><br/>3.2 A categorical x and a categorical y: Cross-tabulation<br/><br/>3.3 A categorical x and a continuous y: ANOVA<br/><br/>3.4 A continuous x and a continuous y: Regression analysis<br/><br/>3.5 An ordinal y and bivariate analysis<br/><br/>3.6 The limitations of bivariate analysis: The need for statistical control for a third variable<br/><br/>3.7 Experimental control for a third (and fourth) variable<br/><br/>3.8 Chapter summary, key learning points, and further reading<br/><br/>3.9 Do-files in Stata and syntax-files in SPSS<br/><br/>3.10 Chapter exercises with solutions<br/><br/>4. Associational research questions II: Multiple regression<br/><br/>4.1 Introduction and chapter overview<br/><br/>4.2 Statistical control for observational data: Two examples<br/><br/>4.3 The multiple regression model and R2<br/><br/>4.4 Non-linear effects<br/><br/>4.5 Interaction effects (moderator effects)<br/><br/>4.6 Regression on experimental data<br/><br/>4.7 A dummy y<br/><br/>4.8 Chapter summary, key learning points, and further reading<br/><br/>4.9 Do-files in Stata and syntax-files in SPSS<br/><br/>4.10 Chapter exercises with solutions<br/><br/>Appendix A: Student exercise motive data<br/><br/>Appendix B: Student tourism data<br/><br/>Appendix C: Red wine data<br/><br/>5. Inferential research questions<br/><br/>5.1 Introduction and chapter overview<br/><br/>5.2 Samples, populations, and random sampling<br/><br/>5.3 Repeated sampling and the normal distribution<br/><br/>5.4 The 95 percent CI for descriptive statistics: Means and proportions<br/><br/>5.5 The 95 percent CI for variable associations<br/><br/>5.6 Verifying that random sampling and the Central Limit Theorem work as promised<br/><br/>5.7 Hypothesis testing and the assessment of statistical significance<br/><br/>5.8 Critical aspects of significance testing<br/><br/>5.9 Chapter summary, key learning points, and further reading<br/><br/>5.10 Do-files in Stata and syntax-files in SPSS<br/><br/>5.11 Chapter exercises with solutions<br/><br/>6. Doing quantitative research: Some tricks of the trade<br/><br/>6.1 Introduction and chapter overview<br/><br/>6.2 Creating, recoding, and labeling new variables<br/><br/>6.3 Creating a new variable by combining existing variables<br/><br/>6.4 Missing data and what to do about them<br/><br/>6.5 Outliers: When too much information causes trouble<br/><br/>6.6 The assumptions of regression analysis<br/><br/>6.7 Effect sizes<br/><br/>6.8 How to present and communicate statistical-association results<br/><br/>6.9 Chapter summary, key learning points, and further reading<br/><br/>6.10 Statistical commands: Do-files in Stata and syntax-files in SPSS<br/><br/>6.11 Chapter exercises with solutions<br/><br/>Appendix A: Female student weight data<br/><br/>References<br/><br/>Index<br/><br/>[https://www.routledge.com/Doing-Statistical-Analysis-A-Students-Guide-to-Quantitative-Research/Thrane/p/book/9781032171326] |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and 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.<br/><br/>(https://www.routledge.com/Doing-Statistical-Analysis-A-Students-Guide-to-Quantitative-Research/Thrane/p/book/9781032171326) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Social science--research--Statistical methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Research--Statistical methods |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
