The SAGE Quantitative Research Kit
Kiadás sorszáma: First Edition
Kiadó: SAGE Publications Ltd
Megjelenés dátuma: 2021. július 14.
Normál ár:
Kiadói listaár:
GBP 275.00
GBP 275.00
Az Ön ára:
122 199 (116 380 Ft + 5% áfa )
Kedvezmény(ek): 8% (kb. 10 626 Ft)
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A termék adatai:
| ISBN13: | 9781529770988 |
| ISBN10: | 152977098X |
| Kötéstípus: | Kötés ismeretlen |
| Terjedelem: | 2512 oldal |
| Méret: | 242x170 mm |
| Nyelv: | angol |
| 588 |
Témakör:
Rövid leírás:
From survey research to multilevel modeling, the books featured in this kit provide clear, concise and digestible explanations of the key theories, methods and techniques relevant to quantitative research today. Curated and written by leading academics in the field, they offer practical, hands-on guidance on how to conduct your research project and make the most out of your findings, in turn giving you the confidence needed to succeed.
Hosszú leírás:
From survey research to multilevel modeling, the books provide clear, concise and digestible explanations of the key theories, methods and techniques relevant to quantitative research today. Curated and written by leading academics in the field, they offer practical, hands-on guidance on how to conduct your research project and make the most out of your findings, in turn giving you the confidence needed to succeed.
Tartalomjegyzék:
Beginning Quantitative Research - Malcolm Williams, Richard D. Wiggins & the late W.Paul Vogt
Exploratory & Descriptive Statistics - Julie Scott-Jones & John Goldring
Statistical Inference & Probability - John MacInnes
Survey Research & Sampling - Jan Eichhorn
Archival & Secondary Data - Tarani Chandola & Cara Booker
Experimental Designs - Barak Ariel, Matthew Bland & Alex Sutherland
Linear Regression: An Introduction to Statistical Models - Peter Martin
Regression Models for Categorical & Count Data - Peter Martin
Introduction to Modern Modelling Methods - Betsy McCoach & Dakota Cintron
Statistical Approaches to Causal Analysis - Matthew McBee
Big Data Mining & Complexity - Brian Castellani & Rajeev Rajarem
Exploratory & Descriptive Statistics - Julie Scott-Jones & John Goldring
Statistical Inference & Probability - John MacInnes
Survey Research & Sampling - Jan Eichhorn
Archival & Secondary Data - Tarani Chandola & Cara Booker
Experimental Designs - Barak Ariel, Matthew Bland & Alex Sutherland
Linear Regression: An Introduction to Statistical Models - Peter Martin
Regression Models for Categorical & Count Data - Peter Martin
Introduction to Modern Modelling Methods - Betsy McCoach & Dakota Cintron
Statistical Approaches to Causal Analysis - Matthew McBee
Big Data Mining & Complexity - Brian Castellani & Rajeev Rajarem
