From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft.
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Hardcover. Condition: new. Hardcover. From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft. A practical guide to R and statistics, combining real data, reproducible code, and open science principles to help researchers plan, analyse, and practice with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9791098563027
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft. Seller Inventory # 9791098563027
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Hardcover. Condition: new. Hardcover. From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft. A practical guide to R and statistics, combining real data, reproducible code, and open science principles to help researchers plan, analyse, and practice with confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9791098563027
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Hardcover. Condition: new. Hardcover. From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft. A practical guide to R and statistics, combining real data, reproducible code, and open science principles to help researchers plan, analyse, and practice with confidence. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9791098563027
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Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. From Questions to Knowledge | Data Analysis for Psychology and Behavioural Science using R | Daniel Nettle | Buch | Englisch | 2026 | Éditions Croulebarbe | EAN 9791098563027 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136321762
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