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Cover: 9781526413826 | How to Make Sense of Statistics | Stephen Gorard | Taschenbuch | 2021
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How to Make Sense of Statistics
Taschenbuch von Stephen Gorard
Sprache: Englisch

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Beschreibung
In a new textbook designed for students new to statistics and social data, Gorard focuses on non-inferential statistics as a basis to provide readers with fundamental statistical literacy. Assuming no previous statistical knowledge, the author demystifies the subject in an engaging and approachable style.
In a new textbook designed for students new to statistics and social data, Gorard focuses on non-inferential statistics as a basis to provide readers with fundamental statistical literacy. Assuming no previous statistical knowledge, the author demystifies the subject in an engaging and approachable style.
Über den Autor
Stephen Gorard is Professor of Education and Public Policy, and Director of the Evidence Centre for Education, at Durham University [...] He is a Fellow of the Academy of Social Sciences, member of the ESRC Commissioning Panel for the Research Methods Programme, the British Academy grants panel, and Lead Editor for BERA's Review of Education. He is a member of the Cabinet Office Trials Advice Panel as part of the Prime Minister's Implementation Unit.

His work concerns the robust evaluation of education as a lifelong process, focused on issues of equity, especially regarding school intakes. He is author of around 30 books and over 1,000 other publications. He is currently funded by Nesta to evaluate their EdTech Testbed, and by the British Academy to look at the impact of schooling in India and Pakistan.
Inhaltsverzeichnis
Part I: Introduction
Chapter 1: Why we use numbers in research
Chapter 2: What is a number?: Issues of measurement
Part II: Basic analyses
Chapter 3: Working with one variable
Chapter 4: Working with tables of categorical variables
Chapter 5: Examining differences between real numbers
Chapter 6: Significance tests: how to conduct them and what they do not mean
Chapter 7: Significance tests: why we should not report them
Part III: Advanced issues for analysis
Chapter 8: The role of judgement in analysis
Chapter 9: Research designs
Chapter 10: Sampling and populations
Chapter 11: What is randomness?
Chapter 12: Handling missing data: The importance of what we don't know
Chapter 13: Handling missing data: more complex issues
Part IV: Modelling with data
Chapter 14: Errors in measurements
Chapter 15: Correlating two real numbers
Chapter 16: Predicting measurements using simple linear regression
Chapter 17: Predicting measurements using multiple linear regression
Chapter 18: Assumptions and limitations in regression
Chapter 19: Predicting outcomes using logistic regression
Chapter 20: Data reduction techniques
Part V: Conclusion
Chapter 21: Presenting data for your audience
Details
Erscheinungsjahr: 2021
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781526413826
ISBN-10: 1526413825
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gorard, Stephen
Redaktion: Gorard, Stephen
Hersteller: SAGE Publishing Ltd
Maße: 244 x 170 x 18 mm
Von/Mit: Stephen Gorard
Erscheinungsdatum: 17.02.2021
Gewicht: 0,555 kg
Artikel-ID: 118851094
Über den Autor
Stephen Gorard is Professor of Education and Public Policy, and Director of the Evidence Centre for Education, at Durham University [...] He is a Fellow of the Academy of Social Sciences, member of the ESRC Commissioning Panel for the Research Methods Programme, the British Academy grants panel, and Lead Editor for BERA's Review of Education. He is a member of the Cabinet Office Trials Advice Panel as part of the Prime Minister's Implementation Unit.

His work concerns the robust evaluation of education as a lifelong process, focused on issues of equity, especially regarding school intakes. He is author of around 30 books and over 1,000 other publications. He is currently funded by Nesta to evaluate their EdTech Testbed, and by the British Academy to look at the impact of schooling in India and Pakistan.
Inhaltsverzeichnis
Part I: Introduction
Chapter 1: Why we use numbers in research
Chapter 2: What is a number?: Issues of measurement
Part II: Basic analyses
Chapter 3: Working with one variable
Chapter 4: Working with tables of categorical variables
Chapter 5: Examining differences between real numbers
Chapter 6: Significance tests: how to conduct them and what they do not mean
Chapter 7: Significance tests: why we should not report them
Part III: Advanced issues for analysis
Chapter 8: The role of judgement in analysis
Chapter 9: Research designs
Chapter 10: Sampling and populations
Chapter 11: What is randomness?
Chapter 12: Handling missing data: The importance of what we don't know
Chapter 13: Handling missing data: more complex issues
Part IV: Modelling with data
Chapter 14: Errors in measurements
Chapter 15: Correlating two real numbers
Chapter 16: Predicting measurements using simple linear regression
Chapter 17: Predicting measurements using multiple linear regression
Chapter 18: Assumptions and limitations in regression
Chapter 19: Predicting outcomes using logistic regression
Chapter 20: Data reduction techniques
Part V: Conclusion
Chapter 21: Presenting data for your audience
Details
Erscheinungsjahr: 2021
Genre: Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781526413826
ISBN-10: 1526413825
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gorard, Stephen
Redaktion: Gorard, Stephen
Hersteller: SAGE Publishing Ltd
Maße: 244 x 170 x 18 mm
Von/Mit: Stephen Gorard
Erscheinungsdatum: 17.02.2021
Gewicht: 0,555 kg
Artikel-ID: 118851094
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