data analysis theory
TRANSCRIPT
-
8/3/2019 Data Analysis Theory
1/17
Introduction to Qualitative Data AnalysisBeverly A. Warden, PhD, MPH, is the Director of the Surveillance and Evaluation Division atConstella Group. She is currently involved in overseeing the process, outcome and impact
evaluation functions at Constella. She has planned and managed variety of evaluation projectsinvolving collection and analysis of both qualitative and quantitative data. She holds a PhD in
Biomedical Sciences from Northwestern and an MPH from the University of North Carolina atChapel Hill. Sharon Wong, MPH, is an evaluation specialist and qualitative analyst for ConstellaGroup. She is currently involved in planning, facilitating, and analyzing interviews and focus
groups for a variety of projects. In addition, Ms. Wong conducts evaluation activities such as thedevelopment of program evaluation plans, goals and objectives, qualitative data collection tools,and survey instruments. She holds an MPH in Health and Social Behavior from the University ofCalifornia, Berkeley.
Offered: Breakout Rotation I: Monday, June 11, 2:30 4:00 PM
Breakout Rotation II: Tuesday, June 12, 2:30 4:00 PM
-
8/3/2019 Data Analysis Theory
2/17
-
8/3/2019 Data Analysis Theory
3/17
Introduction to QUALITATIVE
Bev Warden, PhD, MPH
Sharon Wong, MPH
June 2007
-
8/3/2019 Data Analysis Theory
4/17
Qualitative research is multi-meth
involving an interpretive, naturaliapproach to its subject matter.
This means that qualitative researchers stu
natural settings, attempting to make sensephenomena in terms of the meanings peop
~ Denzin & Lincoln, Strategies of Qualitative Inquiry
-
8/3/2019 Data Analysis Theory
5/17
Qualitative analysis is
Interpretive
Explaining meaning
-
8/3/2019 Data Analysis Theory
6/17
Qualitative analysis is
Based on contex
Meaning is tied to a specific settin
population
Meaning will change over time
-
8/3/2019 Data Analysis Theory
7/17
Qualitative analysis is
Iterative
Theories emerge as data is collecbe tested, refined, and retested aginformation until explanations are
-
8/3/2019 Data Analysis Theory
8/17
Qualitative analysis is not
Quantifiable
Counting words or counting codessubstitute for interpreting meaning
-
8/3/2019 Data Analysis Theory
9/17
Activity 11. Read through the article to get a general
2. Use the highlighter to mark instances in trefer to money or finances
3. How many instances did you find?
4. What does this mean?
5. What are some examples that illustrate aresponsibility between the state and fedejurisdiction?
-
8/3/2019 Data Analysis Theory
10/17
Qualitative research & analysis is
interactive process shaped by bosubjects and researchers:Personal experience
Age
Gender
Race/Ethnicity
Social class
Biases!
-
8/3/2019 Data Analysis Theory
11/17
Triangulation
The use of multiple methods of data gathe
Using different methods helps to build an iunderstanding of meaning
-
8/3/2019 Data Analysis Theory
12/17
Multiple qualitative analysts
Allowing different analysts to formulate thetexts independently (and then come to agrgroup) adds rigor to findings
-
8/3/2019 Data Analysis Theory
13/17
Activity 21. We are going to listen to an interview abo
Katrina. Understanding that our task is toto avoid in emergency preparedness, takas we listen.
2. Read through your notes on your own anhighlight ideas, categories or themes thathe research question What are pitfallsemergency preparedness?
3. Now, look through the main points that yoand write out any memos that occur to yohypotheses that arise about potential therelationships between categories
4. Compare your findings with your partnersagreement on your list of codes and theo
-
8/3/2019 Data Analysis Theory
14/17
Tools for qualitative analysis The researcher/analyst is the main interpre
Video camera
Audio recorder
Transcription Qualitative analysis software (e.g., Atlas.ti,
NUD*IST )
-
8/3/2019 Data Analysis Theory
15/17
Intro to Qualitative Analysis Presentation
- Activity 1: use article as a handout: Gulf Hits Snags in Rebuilding Public Works- Activity 2: use interview clips from Spike Lees When the Levees Broke:
http://www.hbo.com/docs/programs/whentheleveesbroke/
-
8/3/2019 Data Analysis Theory
16/17
CASE STUDIES IN QUALITATIVE METHODSLiterature ReviewProject: CDCs Worksite Wellness
Purpose: A review of relevant literature was conducted to find the most up-to-date best practicesin worksite wellness.Focus of Analysis: The sources of recommendations, strength of evidence, and cost-effectiveness were taken into consideration in compiling a report of best practices.
Policy & Procedure Manual ReviewProject: CDC/DHQP Evaluation of Institutional Phlebotomy Practices for Prevention ofPercutaneous Injuries from Needles and Other Sharp Devices (PINS)
Purpose: A review of policy and procedure manuals was used to evaluate factors influencing therisk of phlebotomy percutaneous injuries in hospitals and to identify potential best practices forprevention.Focus of Analysis: Data collected in the review were compared to information gathered frominterviews, focus groups and observations to determine the extent to which best practices werebeing implemented.
Site VisitsProject: CDCs Choose Respect
Purpose: Site visits were conducted at partners kickoff events to publicize the initiative in order
to gauge the scope of the event, integration of Choose Respect messages, and reactions amongthe target audience.Focus of Analysis: Data collected at site visits, along with process evaluation tools and exitinterviews, were used to create success stories for Choose Respect partners.
Procedural ObservationsProject: CDC/DHQP Evaluation of Institutional Phlebotomy Practices for Prevention ofPercutaneous Injuries from Needles and Other Sharp Devices (PINS)
Purpose: Phlebotomy procedures were observed in a variety of different locations within thehospital to evaluate factors influencing the risk of phlebotomy percutaneous injuries in hospitalsand to identify potential best practices for prevention.Focus of Analysis: The goal was to assess the extent to which written policies and procedureswere implemented on a day to day basis in order to determine any training/retraining needs to
achieve best practices.
Semi-structured InterviewsProject: HRSAs Supporting Networks of HIV Care by Enhancing Primary Medical Care
Purpose: Stakeholder interviews were conducted bi-annually in order to assess ongoingcollaboration among the partners in their progress toward meeting goals and objectives.Focus of Analysis: Findings on achievements and barriers were reported to the prime grantee inorder to inform their decision making on next steps to strengthen collaborative work.
Focus GroupsProject: CDCs National Youth Violence Prevention Resource Center (NYVPRC)
Purpose: Focus groups were conducted with youth involved in violence prevention organizations
in order to determine what topics and resources should be addressed on the NYVPRC website.Focus of Analysis: Teens opinions on relevant youth violence prevention issues, activities andresources were used to update and improve the website.
Qualitative Responses to SurveysProject: CDCs Heads Up: Concussion in High School Sports Toolkit for Athletic Coaches
Purpose: In order to evaluate coaches use of the tool kit, open-ended questions were includedon the survey to ascertain what coaches had learned from using the tool kit and how the tool kithad changed the ways in which they prevented or managed concussions.Focus of Analysis: Coaches qualitative responses on the surveys included self-reportedchanges in knowledge, attitudes and behaviors that were explored in more depth with focusgroups.
-
8/3/2019 Data Analysis Theory
17/17
BASIC STEPS IN QUALITATIVE ANALYSIS
data
collection
note
taking
coding
memoing
sorting
writing
Definitions
data collection: gathering information through qualitative methods such as interviews, focusgroups, open-ended responses to surveys, texts, etc.
note taking: taking down notes of main ideas either during data collection, immediately after datacollection, or during a review of an audio or video recording of the data collection
coding: highlighting ideas, categories or themes that help to answer predetermined researchquestions and/or the more general query of, What is going on here?
themes: concepts that explain how ideas or categories are connected
illustrative quotes: verbatim text that exemplifies a particular code or theme
saturation: a point of diminishing returns in the collection and interpretation of data that signalscompletion
memoing: noting hypotheses that arise about potential themes or relationships between categories
sorting: compiling and arranging themes, codes and illustrative quotes into the outline of a narrativethat explains What is going on here?