CRIM 321 Lecture Notes - Lecture 9: Qualitative Research, Attractive Nuisance Doctrine, Qualitative Property

• School: Simon Fraser University
• Department: Criminology
• Course: CRIM 321
• Professor: Jaqueline Faubert

Document Summary

Crim 321 - lecture 9 - analysis & interpretation of qualitative data. Data generated from qualitative research described as an attractive nuisance . Qualitative data rich & thick, but can also be overwhelming & intimidating. No agreed-upon rules for qualitative data analysis. Qualitative data analysis - often referred to as both art & a science. Thinking of data analysis & interpretation in stages - effective way to approach tasks. May be helpful to think of qualitative data analysis as seven-stage process. Stages one & two - description & familiarization. First step - tends to be most mechanical. Build confidence in ability to summarize & present data. During second stage, re-familiarize yourself w/ data collected. Sitting down w/ data & reading them repeatedly. While carefully reading data, must be attentive to themes & concepts emerging from data. Purely inductive approach - involves letting themes/theory emerge from data.