Ahmad Daryanto
An Introduction to Quantitative Research Methods for Marketing (eBook, ePUB)
Tools and Techniques Using SPSS and R
44,95 €
44,95 €
inkl. MwSt.
Sofort per Download lieferbar
22 °P sammeln
44,95 €
Als Download kaufen
44,95 €
inkl. MwSt.
Sofort per Download lieferbar
22 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
44,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
22 °P sammeln
Ahmad Daryanto
An Introduction to Quantitative Research Methods for Marketing (eBook, ePUB)
Tools and Techniques Using SPSS and R
- Format: ePub
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.

Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This introductory text covers the foundational concepts and statistical applications of quantitative research techniques using SPSS and R. Using step-by-step examples throughout, the book is designed to make this complex subject accessible to students with no background in quantitative methods.
- Geräte: eReader
- mit Kopierschutz
- eBook Hilfe
- Größe: 18.39MB
Andere Kunden interessierten sich auch für
- Ahmad DaryantoAn Introduction to Quantitative Research Methods for Marketing (eBook, PDF)44,95 €
- Allen WebsterIntroductory Regression Analysis (eBook, ePUB)82,95 €
- Atal MalviyaBig Data for Managers (eBook, ePUB)51,95 €
- Michael J. G. ParnwellResearch Methods in Luxury Management (eBook, ePUB)42,95 €
- Andrea Fronzetti ColladonSocial Network Analysis and Text Mining for Big Data (eBook, ePUB)37,95 €
- Vanessa RattenResearch Methodologies for Business Management (eBook, ePUB)44,95 €
- Christian RyanData Science with R for Psychologists and Healthcare Professionals (eBook, ePUB)132,95 €
-
-
-
This introductory text covers the foundational concepts and statistical applications of quantitative research techniques using SPSS and R. Using step-by-step examples throughout, the book is designed to make this complex subject accessible to students with no background in quantitative methods.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 3. Juni 2025
- Englisch
- ISBN-13: 9781040344552
- Artikelnr.: 73911794
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 3. Juni 2025
- Englisch
- ISBN-13: 9781040344552
- Artikelnr.: 73911794
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Ahmad Daryanto is a Professor of Marketing at Lancaster University Management School in the United Kingdom. He received his BSc degree in Environmental Engineering from Bandung Institute of Technology in Indonesia, a MSc degree in Engineering Mathematics from Twente University in the Netherlands, and a PhD degree in Marketing from Maastricht University in the Netherlands. He has published in top international journals such as the Journal of Consumer Psychology, Journal of the Academy of Marketing Science, Journal of Service Research, Industrial Marketing Management, Personality and Individual Differences, Cities, Journal of Business Research among others. Some of his research has been funded by the Fundamental Research Funds for the Central Universities in China. Anto currently acts as an associate editor of an Elsevier journal, Sustainable Futures, and has acted as a co-chair session on marketing analytics and big data at the prestigious AMA winter conference. Anto held a visiting professor position at Beijing Foreign Studies University under the scheme of High-End Foreign Expert Program of Government of China, and has acted as an external grant reviewer for UK Research Innovation (UKRI) future leadership and a lead reviewer for the British Academy small research grants. He is currently an external examiner at two universities: International Business School of Xi'an-Jiaotong Liverpool University for its Marketing degree programs, and Regents' University of London for its new MSc program in Data Science and Business. He was an external examiner at Imperial College Business School, London, for its MSc in Strategic Marketing program. Anto is a statistical programmer who has written several SPSS macros. He is the inventor of EndoS, which is a software that can be used to address an endogeneity problem discussed in this book; his HeteroskedasticityV3 software has been used by graduate students and researchers worldwide. Anto is a keen chess player and runs a chess club at the Lancaster public library in the UK.
Part 1: Getting Started 1. An Introduction 2. Getting Started with SPSS 3.
Getting Started with R Part 2: Basic Concepts in Measurement, Data
Descriptions and Distributions 4. Construct and Measurement 5. Describing
Quantitative Data 6. Normal Distribution 7. Distributions Derived from
Normal Distribution 8. Sampling Distribution Part 3: Hypothesis Testing and
Basic Statistical Tests 9. Hypothesis Testing and Significance 10. Testing
Proportions 11. Correlation Part 4: Regression Analysis 12. Simple Linear
Regression 13. Multiple Regression 14. Regression Diagnostics Part 5:
Advanced Topics in Regression and ANOVA 15. Mediation 16. Moderation 17.
Endogeneity 18. Analysis of Variance 19. Experiment Part 6: Advanced
Statistical methods 20. Cluster Analysis 21. Principal Component Analysis
22. Factor Analysis 23. Binary Logistic Regression
Getting Started with R Part 2: Basic Concepts in Measurement, Data
Descriptions and Distributions 4. Construct and Measurement 5. Describing
Quantitative Data 6. Normal Distribution 7. Distributions Derived from
Normal Distribution 8. Sampling Distribution Part 3: Hypothesis Testing and
Basic Statistical Tests 9. Hypothesis Testing and Significance 10. Testing
Proportions 11. Correlation Part 4: Regression Analysis 12. Simple Linear
Regression 13. Multiple Regression 14. Regression Diagnostics Part 5:
Advanced Topics in Regression and ANOVA 15. Mediation 16. Moderation 17.
Endogeneity 18. Analysis of Variance 19. Experiment Part 6: Advanced
Statistical methods 20. Cluster Analysis 21. Principal Component Analysis
22. Factor Analysis 23. Binary Logistic Regression
Part 1: Getting Started 1. An Introduction 2. Getting Started with SPSS 3.
Getting Started with R Part 2: Basic Concepts in Measurement, Data
Descriptions and Distributions 4. Construct and Measurement 5. Describing
Quantitative Data 6. Normal Distribution 7. Distributions Derived from
Normal Distribution 8. Sampling Distribution Part 3: Hypothesis Testing and
Basic Statistical Tests 9. Hypothesis Testing and Significance 10. Testing
Proportions 11. Correlation Part 4: Regression Analysis 12. Simple Linear
Regression 13. Multiple Regression 14. Regression Diagnostics Part 5:
Advanced Topics in Regression and ANOVA 15. Mediation 16. Moderation 17.
Endogeneity 18. Analysis of Variance 19. Experiment Part 6: Advanced
Statistical methods 20. Cluster Analysis 21. Principal Component Analysis
22. Factor Analysis 23. Binary Logistic Regression
Getting Started with R Part 2: Basic Concepts in Measurement, Data
Descriptions and Distributions 4. Construct and Measurement 5. Describing
Quantitative Data 6. Normal Distribution 7. Distributions Derived from
Normal Distribution 8. Sampling Distribution Part 3: Hypothesis Testing and
Basic Statistical Tests 9. Hypothesis Testing and Significance 10. Testing
Proportions 11. Correlation Part 4: Regression Analysis 12. Simple Linear
Regression 13. Multiple Regression 14. Regression Diagnostics Part 5:
Advanced Topics in Regression and ANOVA 15. Mediation 16. Moderation 17.
Endogeneity 18. Analysis of Variance 19. Experiment Part 6: Advanced
Statistical methods 20. Cluster Analysis 21. Principal Component Analysis
22. Factor Analysis 23. Binary Logistic Regression