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Know Your Variables: Little Quick Fix

by John MacInnes SAGE Publications Ltd
Pub Date:
07/2018
ISBN:
9781526458841
Format:
Pbk 128 pages
Price:
AU$19.99 NZ$20.86
Product Status: In Stock Now
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Instructors
& Academics:
The Little Quick Fix on how to Identify 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 LQF 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.

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?

John MacInnes is Professor of Sociology at the University of Edinburgh. He has been teaching students quantitative methods and data analysis for thirty years. He has been Strategic Advisor to the UK Economic and Social Research Council on Quantitative Methods Training and currently advises the British Academy on quantitative skills, the UK Q-Step programme on statistics pedagogy and researches on statistics anxiety for the ESRC National Centre for Research Methods. He is a Fellow of the Academy of Social Sciences and the Royal Statistical Society, where he is a member of it Council.  His own research and publications range over population ageing and demographic change, gender identity, national identity and the sociology of industry.