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Englisch
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Beschreibung
Providing complete coverage of advanced research methods and their implementation in R to increase students' confidence with programming techniques and their application to new situations and problems.
Providing complete coverage of advanced research methods and their implementation in R to increase students' confidence with programming techniques and their application to new situations and problems.
Über den Autor
Daniel H. Baker is a Senior Lecturer at the University of York. He has taught research methods for many years in the Department of Psychology, and also made contributions to the statistical literature on power analysis and multivariate methods. He studies human visual perception, with a particular emphasis on binocular vision, using a range of quantitative techniques including psychophysics, neuroimaging and computational modelling. In 2016 he was awarded the David Marr medal by the Applied Vision Association in recognition of his research contributions. He has a particular interest in making research more open, not only by sharing code and data, but also by making analysis techniques more accessible and easy to use.
Inhaltsverzeichnis
- 1: Introduction
- 2: Introduction to the R environment
- 3: Cleaning and preparing data for analysis
- 4: Statistical tests as linear models
- 5: Power analysis
- 6: Meta-analysis
- 7: Mixed-effects models
- 8: Stochastic methods
- 9: Non-linear curve fitting
- 10: Fourier analysis
- 11: Multivariate t-tests
- 12: Structural equation modelling
- 13: Multidimensional scaling and k-means clustering
- 14: Multivariate pattern analysis
- 15: Correcting for multiple comparisons
- 16: Signal detection theory
- 17: Bayesian statistics
- 18: Plotting graphs and data visualisation
- 19: Reproducible data analysis
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Psychologie |
Produktart: | Ratgeber |
Rubrik: | Geisteswissenschaften |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780192896599 |
ISBN-10: | 0192896598 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Baker, Daniel H. |
Hersteller: | Oxford University Press |
Maße: | 191 x 245 x 22 mm |
Von/Mit: | Daniel H. Baker |
Erscheinungsdatum: | 21.03.2022 |
Gewicht: | 0,688 kg |
Über den Autor
Daniel H. Baker is a Senior Lecturer at the University of York. He has taught research methods for many years in the Department of Psychology, and also made contributions to the statistical literature on power analysis and multivariate methods. He studies human visual perception, with a particular emphasis on binocular vision, using a range of quantitative techniques including psychophysics, neuroimaging and computational modelling. In 2016 he was awarded the David Marr medal by the Applied Vision Association in recognition of his research contributions. He has a particular interest in making research more open, not only by sharing code and data, but also by making analysis techniques more accessible and easy to use.
Inhaltsverzeichnis
- 1: Introduction
- 2: Introduction to the R environment
- 3: Cleaning and preparing data for analysis
- 4: Statistical tests as linear models
- 5: Power analysis
- 6: Meta-analysis
- 7: Mixed-effects models
- 8: Stochastic methods
- 9: Non-linear curve fitting
- 10: Fourier analysis
- 11: Multivariate t-tests
- 12: Structural equation modelling
- 13: Multidimensional scaling and k-means clustering
- 14: Multivariate pattern analysis
- 15: Correcting for multiple comparisons
- 16: Signal detection theory
- 17: Bayesian statistics
- 18: Plotting graphs and data visualisation
- 19: Reproducible data analysis
Details
Erscheinungsjahr: | 2022 |
---|---|
Genre: | Psychologie |
Produktart: | Ratgeber |
Rubrik: | Geisteswissenschaften |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780192896599 |
ISBN-10: | 0192896598 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Baker, Daniel H. |
Hersteller: | Oxford University Press |
Maße: | 191 x 245 x 22 mm |
Von/Mit: | Daniel H. Baker |
Erscheinungsdatum: | 21.03.2022 |
Gewicht: | 0,688 kg |
Warnhinweis