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Beschreibung
This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question.
This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project.
This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question.
This is the perfect text for all social science students studying introductory modules on quantitative methods, research methods or statistics at undergraduate or postgraduate level. It also functions as an effective guide for undergraduate and postgraduate students faced with an independent research project.
Über den Autor
Daniela Aidley is a Professor of Business Psychology at the Applied University Westküste, Heide, Germany.
Zusammenfassung
Primary market
1. Undergraduate and introductory-level courses on: research methods, quantitative methods and statistics across the social sciences - including business and management, psychology etc.
2. Undergraduate dissertations and self-study
Secondary market
1. Postgraduate modules on research methods and statistics
2. Also postgraduate courses on research methods and statistics
3. A-level courses on psychology
4. Undergraduate and postgraduate courses that focus on both quantitative and qualitative research methods but recommend two textbooks treating both approaches separately
5. Postgraduate self-study
Inhaltsverzeichnis
Introduction
1. The Research Question
2. Basic Concepts of Empirical Research
3. Data Collection
4. Basic Mathematics
5. Data Entry and Handling
6. Basic Concepts of Data Description and Analysis
7. Presentation and Illustration of Data
8. Choosing your Statistical Analyses
9. Statistical Analyses: Looking at Differences
10. Statistical Analyses: Looking at Effects
11. Statistical Analyses: Looking at Associations and Relationships
12. Writing up Research
Appendix 1 - Standard Error of Skewness for Small Sample Sizes
Appendix 2 - Critical Values for Wilcoxon Signed Rank
Exercise Solutions
General Glossary
Excel Function Glossary
References.
1. The Research Question
2. Basic Concepts of Empirical Research
3. Data Collection
4. Basic Mathematics
5. Data Entry and Handling
6. Basic Concepts of Data Description and Analysis
7. Presentation and Illustration of Data
8. Choosing your Statistical Analyses
9. Statistical Analyses: Looking at Differences
10. Statistical Analyses: Looking at Effects
11. Statistical Analyses: Looking at Associations and Relationships
12. Writing up Research
Appendix 1 - Standard Error of Skewness for Small Sample Sizes
Appendix 2 - Critical Values for Wilcoxon Signed Rank
Exercise Solutions
General Glossary
Excel Function Glossary
References.
Details
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Grundlagen (Methodik & Statistik) |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Taschenbuch |
| Inhalt: |
XXV
360 S. |
| ISBN-13: | 9781137487216 |
| ISBN-10: | 1137487216 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-137-48721-6 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Aidley, Daniela |
| Hersteller: |
Macmillan Education
Bloomsbury Publishing PLC |
| Maße: | 254 x 177 x 22 mm |
| Von/Mit: | Daniela Aidley |
| Erscheinungsdatum: | 15.10.2018 |
| Gewicht: | 0,713 kg |
Über den Autor
Daniela Aidley is a Professor of Business Psychology at the Applied University Westküste, Heide, Germany.
Zusammenfassung
Primary market
1. Undergraduate and introductory-level courses on: research methods, quantitative methods and statistics across the social sciences - including business and management, psychology etc.
2. Undergraduate dissertations and self-study
Secondary market
1. Postgraduate modules on research methods and statistics
2. Also postgraduate courses on research methods and statistics
3. A-level courses on psychology
4. Undergraduate and postgraduate courses that focus on both quantitative and qualitative research methods but recommend two textbooks treating both approaches separately
5. Postgraduate self-study
Inhaltsverzeichnis
Introduction
1. The Research Question
2. Basic Concepts of Empirical Research
3. Data Collection
4. Basic Mathematics
5. Data Entry and Handling
6. Basic Concepts of Data Description and Analysis
7. Presentation and Illustration of Data
8. Choosing your Statistical Analyses
9. Statistical Analyses: Looking at Differences
10. Statistical Analyses: Looking at Effects
11. Statistical Analyses: Looking at Associations and Relationships
12. Writing up Research
Appendix 1 - Standard Error of Skewness for Small Sample Sizes
Appendix 2 - Critical Values for Wilcoxon Signed Rank
Exercise Solutions
General Glossary
Excel Function Glossary
References.
1. The Research Question
2. Basic Concepts of Empirical Research
3. Data Collection
4. Basic Mathematics
5. Data Entry and Handling
6. Basic Concepts of Data Description and Analysis
7. Presentation and Illustration of Data
8. Choosing your Statistical Analyses
9. Statistical Analyses: Looking at Differences
10. Statistical Analyses: Looking at Effects
11. Statistical Analyses: Looking at Associations and Relationships
12. Writing up Research
Appendix 1 - Standard Error of Skewness for Small Sample Sizes
Appendix 2 - Critical Values for Wilcoxon Signed Rank
Exercise Solutions
General Glossary
Excel Function Glossary
References.
Details
| Erscheinungsjahr: | 2018 |
|---|---|
| Fachbereich: | Grundlagen (Methodik & Statistik) |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Taschenbuch |
| Inhalt: |
XXV
360 S. |
| ISBN-13: | 9781137487216 |
| ISBN-10: | 1137487216 |
| Sprache: | Englisch |
| Herstellernummer: | 978-1-137-48721-6 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Aidley, Daniela |
| Hersteller: |
Macmillan Education
Bloomsbury Publishing PLC |
| Maße: | 254 x 177 x 22 mm |
| Von/Mit: | Daniela Aidley |
| Erscheinungsdatum: | 15.10.2018 |
| Gewicht: | 0,713 kg |
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