The SAGE Quantitative Research Kit

The SAGE Quantitative Research Kit

 
Edition number: First Edition
Publisher: SAGE Publications Ltd
Date of Publication:
 
Normal price:

Publisher's listprice:
GBP 275.00
Estimated price in HUF:
132 825 HUF (126 500 HUF + 5% VAT)
Why estimated?
 
Your price:

106 260 (101 200 HUF + 5% VAT )
discount is: 20% (approx 26 565 HUF off)
Discount is valid until: 30 June 2024
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
  Piece(s)

 
 
 
 
Product details:

ISBN13:9781529770988
ISBN10:152977098X
Binding:Unidentified
No. of pages:2512 pages
Size:242x170 mm
Language:English
580
Category:
Short description:

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.

Long description:
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.
Table of Contents:
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