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What Can Qualitative Software What Can Qualitative Software

What Can Qualitative Software - PowerPoint Presentation

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What Can Qualitative Software - PPT Presentation

D o for My Research November 5 2013 APHA Conference Outline of Session Overall Goal Understand how qualitative data analysis software can improve the rigor of your public health research Short introduction to ID: 710036

qualitative coding data analysis coding qualitative analysis data text software nvivo codes themes exercise code ended open questions social

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Slide1

What Can Qualitative Software Do for My Research?November 5, 2013APHA ConferenceSlide2

Outline of SessionOverall Goal: Understand how qualitative data analysis software can improve the rigor of your public health researchShort introduction to qualitative analysis and computer-assisted qualitative data analysis software (CAQDAS)Introduction to coding and coding exercise

NVivo demonstration and explorationSlide3

A Brief History of CAQDAS1981: Lyn and Tom Richards develop NUD*IST, the precursor to NVivo1994: Miles and Huberman discuss the use of software in qualitative analysis in their widely cited text2007: National Science Foundation publishes guidelines for the use of software in qualitative data analysis

2013: NVivo, AtlasTi, EZ-Text, ANSWR, MaxQDA, HyperResearch and Dedoose are among the most commonly used tools todayToday at APHA 2013: Over 30 presentations mention using

NVivo in their abstracts (see handout)Slide4

How can Software Help Improve the Rigor of Qualitative Analysis?

X

Y

Z

Transparency

Saturation

MethodologySlide5

Considerations in Choosing to Use SoftwareSample size and multiplicity of data sourcesEmphasis on replicability, rigor and transparencyLikelihood that there will be future opportunities to perform secondary analyses on the same datasetDesire to publish in peer-reviewed journals

Interest in merging close-ended attributes into the qualitative datasetBuilding capacity of analysis team including training time and costsBudgetary parameters and software investmentSlide6

Promoting Reliability and Validity in AnalysisDocument the process of analysis including what is the statement of a respondent and what is interpretation by a researcherInvolve multiple analysts to check biases

Document in detail the process by which analytical themes or codes are developed Train coders or analysts on coding structure and create well-defined themes. Refine again and again.

In analysis, check inter-rater reliabilityDevelop conventions for transcribing data so that transcripts are comparable across data source

Develop saturation guidelinesSlide7

Future Directions in Qualitative AnalysisMixed methods tools, such as the capacity to work with datasets containing both fixed response and open-ended materialWeb-based data, including social media and online discussion boardsCapacity for larger samples, especially large quantities of text (qualitative studies are no longer small)More tools for comparing coding by researcher, theme, and participant groupSlide8

A Future Look at Mixed Methods with NVivo

Descriptive Statistics

 

Inferential Statistics

 

Meta-Analysis

Coding of Text

Audio,

Video and

Image Data

 

Open-Ended Survey and Interview Responses

 

Transcribing tools for Audio and

Video

Import/Export from Excel, text and database files

 

Open-Ended and Fixed Response Questions

 

Within and Between Group Analysis of Coding

 

Text Analysis

 

Kappa Coefficient

 

Cluster Analysis of Word and Coding

Similarity

Qualitative

Quantitative

NVivoSlide9

Coding ExerciseSlide10

Brief Coding Exercise: PurposeWe will code a short transcript manuallyGiven the short timeframe we will not do this thoroughlyWe will talk about what we found and how we might begin to refine our codesWe will discuss how we would use qualitative software to accomplish the same stepsSlide11

CodingAny researcher who wishes to become proficient at doing qualitative analysis must learn to code well and easily. The excellence of the research rests in large part on the excellence of the coding.(Anselm L. Strauss, Qualitative Analysis for Social Scientists

, 1987, p. 27)Slide12

What is Coding?Codes are short words or phrases that symbolize the essence of a piece of text, visual image, or other qualitative data.Codes reduce a large quantity of data into more manageable “themes.”Interpret qualitative data into meaningful themes (meaningful depends on the lens of the analyst)Slide13

EXAMPLE: Focus Group on Treating Chronic Fatigue PatientsPhysician Participant“There are also trends over times. When I was in training, everybody who we now consider chronic fatigue or even chronic fibromyalgia was largely looked into a group that they called the hypochondriacal

patients. Now you hardly ever hear the diagnosis hypochondriasis anymore.”CodeTrends in Diagnoses OR

Physician training ORChronic fatigue syndrome familiaritySlide14

Coding processInitial codes will be defined, redefined, collapsed as more and more data are codedAnalysts will develop definitions, inclusion and exclusion criteria for each codeSlide15

Analysis of Codes/ThemesCodes/themes are analyzed for patterns, e.g. frequency, similarity and differences across respondent types, meaning, sequence, associations with other codes, causation, etc.Slide16

Brief Coding Exercise - InstructionsRead the interview with Thomas – 10 minutesRemember the purpose of the research. (Description in packet.) Look for themes. Put parentheses around the text and write the word/phrase that summarizes the text next to it.

Note questions or ideas that occur to you as you read the interview.Report out and discussion – 10 minutesSlide17

Brief Coding Exercise – ThemesWhat themes did you come up with?Slide18

Brief Coding Exercise – DiscussionWhat codes are similar to each other?How will we capture the changing definitions over time?How will we merge codes?How will we assess inter-rater reliability?What questions or comments occurred to you as you read the interview?Slide19

Brief Coding Exercise – SummaryWhat works manually with a small amount of qualitative research becomes more complicated as the number of qualitative sources increaseDefining, redefining, merging, and separating codes is easier to do and easier to keep track of with qualitative softwareDocumenting the analysis process systematically is a benefit of the software; replicability is possibleSlide20

NVivo

Demonstration and ExplorationSlide21

Let’s explore NVivo in practice

How does NVivo

store data?Sources

may be text, audio, video, pictures, categorical or social media dataHow do I code in NVivo

?Select data and assign to one or more

NodesHow can I see my coding in

NVivo?Turn

on Coding Stripes, and open Nodes

Isn’t there more the software can do?

Text

Search

and

Word Frequency Queries

can help you code.

Matrix Coding Queries

can reveal patterns within and across themes or groups of participants.Slide22

Systematic, Rigorous, QuickIncrease accessibility of data and transparency of analysis

Node content, memos, annotations, coding stripes, event log

Identify and test ideas about emerging patterns and themesText Search Query, Matrix Coding Query

Utilize open-ended text and non-text dataTranscripts, audio, video, pictures, survey and other categorical data, social media

Generate output for reporting

Query results, node exports, visualizations

Support team-based analysis

View team members’ coding, calculate Kappa coefficientSlide23

Utilizing Non-text DataClassification (First Cell)

PersonGenderAge RangeYears in Down East

Primary ResidenceBarbaraFemale40-4940

YesCharlesMale60-6972

YesDorthyFemale

20-3940Yes

HelenMale70-79

N/AYes

Attributes (First Row)

Nodes (First Column

)Slide24

Questions and Comments?