Know Your Variables
Little Quick Fix
1st Edition
Published on 27. December 2018
Book
Paperback/Softback
128 pages
978-1-5264-5884-1 (ISBN)
Description
Know Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables are and why looking for relationships between them is so interesting and so powerful.
Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design - whatever their methods learning is.
Lively, ultra-modern design; full-colour, each page a tailored design.
An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs - quick.
Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff.
Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A
DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor.
Checkpoints in each section make sure students are nailing it as they go and support self-directed learning.
How do I know I'm done? Each Little Quick Fix wraps up with a finale checklist that allows the reader to self-assess they've got what they need to progress, submit, or ace the test or task.
Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design - whatever their methods learning is.
Lively, ultra-modern design; full-colour, each page a tailored design.
An hour's read. Easy to dip in and out of with clear navigation enables the reader to find what she needs - quick.
Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff.
Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A
DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor.
Checkpoints in each section make sure students are nailing it as they go and support self-directed learning.
How do I know I'm done? Each Little Quick Fix wraps up with a finale checklist that allows the reader to self-assess they've got what they need to progress, submit, or ace the test or task.
More details
Series
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Dimensions
Height: 178 mm
Width: 127 mm
Thickness: 9 mm
Weight
189 gr
ISBN-13
978-1-5264-5884-1 (9781526458841)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2018
1st Edition
SAGE Publications Ltd
€18.49
Available for download
Person
From 2009 to 2014 John was the Strategic Advisor to the Economic and Social Research Council (ESRC) on quantitative methods training overseeing the genesis and launch of the Q-Step programme. From 2015 to 2020 he was Strategic Advisor to the British Academy on Quantitative skills and a member of the British Academy's High Level Strategy group on Quantitative Skills. John is a Chartered Statistician and was Vice President (Professional Affairs) of the Royal Statistical Society 2019-20. He has held research grants from the European Commission, UK ESRC, British Academy, Leverhulme trust and British, Spanish and Catalan government departments.
Content
Section 1: Why do variables matter?
Section 2: What is a variable?
Section 3: How do I identify a variable?
Section 4: What variables measure quantities and categories?
Section 5: How do I examine relationships between variables?
Section 6: What are independent and dependent variables?
Section 7: Why does correlation not automatically mean causation?
Section 8: How can I use variables in my research project?
Section 2: What is a variable?
Section 3: How do I identify a variable?
Section 4: What variables measure quantities and categories?
Section 5: How do I examine relationships between variables?
Section 6: What are independent and dependent variables?
Section 7: Why does correlation not automatically mean causation?
Section 8: How can I use variables in my research project?