ERS 210 Study Guide - Final Guide: Analytic Induction, Grounded Theory, Discourse Analysis
10 Jan 2017
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Qualitative analysis is what we call iterative – from data we collected we can piece together certain
patterns and we can tell if our findings are the same as our hypothesis
Analytic induction: collection of data continues and the hypothesis is modified until every single finding
lines up with your hypothesis. What makes it unique is that analytic induction helps to sort of look for
deeper connections Requires for you to state your bias and limitations.
There is no one perfect method to use.
Key difference between
Analytic induction / Quantitive analysis: Hypothesis Is adjusted until it’s valid for all cases and studies.
You do’t state iases ad liitatios.
Quantitative analysis there is no adjustment – it’s either rejeted or approved
3 basic features of grounded theory
Coding where data is broken down into component parts and given names; open coding, axial coding,
and selective coding so as to draw patterns, will things have to be changed, is it lying along with the
hypothesis examples.
Constant comparison- can your individual pieces connect to a large umbrella and sub topics
Theoretical saturation – you’ve looked at seodary literature; other theories that a relate, priary
literature, there’s othig else that a e doe
Outcomes of grounded theory
1) Concepts: the building blocks of theory
2) Categories
3) Properties
4) Hypotheses
5) Theory
Basic operatinos in qualitative data anlaysis
Of what general category is the datum an instance?
What does this datum represent?
What is this datum about?
What question does this datum suggest?
What sort of answer to that question does this datum imply?
find more resources at oneclass.com
find more resources at oneclass.com
Document Summary
Qualitative analysis is what we call iterative from data we collected we can piece together certain patterns and we can tell if our findings are the same as our hypothesis. Analytic induction: collection of data continues and the hypothesis is modified until every single finding lines up with your hypothesis. What makes it unique is that analytic induction helps to sort of look for deeper connections requires for you to state your bias and limitations. There is no one perfect method to use. Analytic induction / quantitive analysis: hypothesis is adjusted until it"s valid for all cases and studies. Quantitative analysis there is no adjustment it"s either reje(cid:272)ted or approved. Coding where data is broken down into component parts and given names; open coding, axial coding, and selective coding so as to draw patterns, will things have to be changed, is it lying along with the hypothesis examples.
