Mastering Statistics
Autor Elizabeth Page-Goulden Limba Engleză Electronic book text – 12 noi 2022
By teaching complex analyses in simple, straight-forward language, and with an emphasis on statistical flexibility, this book enables readers to:
- Choose and apply the best statistical approach for their research design
- Get a buffet-style introduction to the major advanced statistical techniques
- Work with a clear set of best practices for statistical analysis in the social sciences
- Understand the relationship between statistics and statistical inference
- Get to grips with the advent of big datasets
- Avoid common errors and pitfalls in the research design phase
- Communicate the results of analysis effectively and with impact
- Learn statistics as a journey in testing a hypothesis and exploring empirical data.
Preț: 208.79 lei
Nou
Puncte Express: 313
Preț estimativ în valută:
35.28€ • 36.35$ • 29.56£
35.28€ • 36.35$ • 29.56£
Nepublicat încă
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781526422200
ISBN-10: 1526422204
Pagini: 464
Dimensiuni: 186 x 232 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
ISBN-10: 1526422204
Pagini: 464
Dimensiuni: 186 x 232 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom
Cuprins
Chapter
1
The
General
Linear
Model
Chapter 2 Multilevel Modeling
Chapter 3 Multivariate Models
Chapter 4 Non-Gaussian Statistics
Chapter 5 Bayesian Hypothesis Testing
Chapter 6 Process Models
Chapter 7 Structural Equation Models
Chapter 8 Cluster Analysis
Chapter 9 Factor Analysis
Chapter 10 Time-based Analyses
Chapter 11 Exploratory Data Analysis
Chapter 12 Reporting and Visualizing Results
Chapter 2 Multilevel Modeling
Chapter 3 Multivariate Models
Chapter 4 Non-Gaussian Statistics
Chapter 5 Bayesian Hypothesis Testing
Chapter 6 Process Models
Chapter 7 Structural Equation Models
Chapter 8 Cluster Analysis
Chapter 9 Factor Analysis
Chapter 10 Time-based Analyses
Chapter 11 Exploratory Data Analysis
Chapter 12 Reporting and Visualizing Results