SlideShare a Scribd company logo
1 of 29
Introduction of a  computer based research tool  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Qualitative research data collection ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Qualitative research data analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Where Ethnograph V5.0 can help Work to be done by researcher himself
Examples of a interview report with  handwritten codes ,[object Object],[object Object],[object Object]
What is Ethnograph v5.0 ? ,[object Object],[object Object],[object Object]
Steps for Data Entry (1 to 6) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1. Creating projects ,[object Object],[object Object],To create a project   (1 min) http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt1.wmv
2. Entering qualitative data (e.g. interviews) ,[object Object],[object Object],To create a data file using the text Editor  (1 min 30 sec) http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt2.wmv
3. Entering qualitative data  (cont’d) ,[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt3.wmv
4. Two ways of Coding/Classifying  Quick codes and Code Sets ,[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt4.wmv
Coding by hand to coding by Ethnograph
5. Editing code book definition  and family tree ,[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt5.wmv
6. Applying the coding for other data files ,[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt6.wmv
Steps for data analysis (7 – 12) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
7. Conducting a single code and multiple code searches ,[object Object],How to start a single and multiple searches with “Search”  (1min 30 sec) http://iln.cite.hku.hk/com/1391/users/mhckwan/session3/chpt7.wmv
Searching for single code
Searching for multiple codes ,[object Object],[object Object]
Results generated ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
8. Creating memos ,[object Object],[object Object],[object Object],[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session4/chpt8.wmv
9. Creating Search Filters - Face Sheets ,[object Object],[object Object],[object Object],How to create  Face Sheet template  ( 1 min ) http://iln.cite.hku.hk/com/1391/users/mhckwan/session4/chpt9.wmv
Entering face sheet values for different groups Group 1 belongs to public school and had not changed subject major Group 2 belongs to private school students and had changed subject major 2 times
10. Using Face Sheets as Search Filters ,[object Object],[object Object],[object Object],How to use Face Sheet as Search Filters  (1 min) http://iln.cite.hku.hk/com/1391/users/mhckwan/session4/chpt11.wmv
11. Creating search filters  - Identifier Sheets ,[object Object],[object Object],[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session4/chpt10.wmv
Entering identifier sheet values for different subjects Group 1 M2 subject whose parents income is $10,000 per month and the education level is not high Group2  M1 subject whose parents income is $67,000 per month and the education level is not high
12. Using Id  Sheets as Search Filters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://iln.cite.hku.hk/com/1391/users/mhckwan/session4/chpt12.wmv
Results generated ,[object Object],[object Object]
Comments about Ethnograph v5.0 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object]

More Related Content

What's hot

RES860 P6 IndividualProject - version101
RES860 P6 IndividualProject - version101RES860 P6 IndividualProject - version101
RES860 P6 IndividualProject - version101
ThienSi Le
 
Adaptive information extraction
Adaptive information extractionAdaptive information extraction
Adaptive information extraction
unyil96
 
Extracting keywords from texts - Sanda Martincic Ipsic
Extracting keywords from texts - Sanda Martincic IpsicExtracting keywords from texts - Sanda Martincic Ipsic
Extracting keywords from texts - Sanda Martincic Ipsic
Institute of Contemporary Sciences
 
Language Models for Information Retrieval
Language Models for Information RetrievalLanguage Models for Information Retrieval
Language Models for Information Retrieval
Dustin Smith
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
ThienSi Le
 
Lec1-Into
Lec1-IntoLec1-Into
Lec1-Into
butest
 
Aggregation for searching complex information spaces
Aggregation for searching complex information spacesAggregation for searching complex information spaces
Aggregation for searching complex information spaces
Mounia Lalmas-Roelleke
 
Tovek Presentation by Livio Costantini
Tovek Presentation by Livio CostantiniTovek Presentation by Livio Costantini
Tovek Presentation by Livio Costantini
maxfalc
 
Tovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio CostantiniTovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio Costantini
maxfalc
 
Diacritic Oriented Arabic Information Retrieval System
Diacritic Oriented Arabic Information Retrieval SystemDiacritic Oriented Arabic Information Retrieval System
Diacritic Oriented Arabic Information Retrieval System
CSCJournals
 

What's hot (19)

Bibliographic metadata (including citation)
Bibliographic metadata (including citation)Bibliographic metadata (including citation)
Bibliographic metadata (including citation)
 
Advantages of Query Biased Summaries in Information Retrieval
Advantages of Query Biased Summaries in Information RetrievalAdvantages of Query Biased Summaries in Information Retrieval
Advantages of Query Biased Summaries in Information Retrieval
 
Computer Software in Qualitative Research: An Introduction to NVivo
Computer Software in Qualitative Research: An Introduction to NVivoComputer Software in Qualitative Research: An Introduction to NVivo
Computer Software in Qualitative Research: An Introduction to NVivo
 
RES860 P6 IndividualProject - version101
RES860 P6 IndividualProject - version101RES860 P6 IndividualProject - version101
RES860 P6 IndividualProject - version101
 
Translating Ontologies in Real-World Settings
Translating Ontologies in Real-World SettingsTranslating Ontologies in Real-World Settings
Translating Ontologies in Real-World Settings
 
Adaptive information extraction
Adaptive information extractionAdaptive information extraction
Adaptive information extraction
 
Extracting keywords from texts - Sanda Martincic Ipsic
Extracting keywords from texts - Sanda Martincic IpsicExtracting keywords from texts - Sanda Martincic Ipsic
Extracting keywords from texts - Sanda Martincic Ipsic
 
Workshop 2 using nvivo 12 for qualitative data analysis
Workshop 2 using nvivo 12 for qualitative data analysisWorkshop 2 using nvivo 12 for qualitative data analysis
Workshop 2 using nvivo 12 for qualitative data analysis
 
Language Models for Information Retrieval
Language Models for Information RetrievalLanguage Models for Information Retrieval
Language Models for Information Retrieval
 
RES812 U4 Individual Project
RES812  U4 Individual ProjectRES812  U4 Individual Project
RES812 U4 Individual Project
 
Lec1-Into
Lec1-IntoLec1-Into
Lec1-Into
 
Aggregation for searching complex information spaces
Aggregation for searching complex information spacesAggregation for searching complex information spaces
Aggregation for searching complex information spaces
 
Tovek Presentation by Livio Costantini
Tovek Presentation by Livio CostantiniTovek Presentation by Livio Costantini
Tovek Presentation by Livio Costantini
 
INTELLIGENT QUERY PROCESSING IN MALAYALAM
INTELLIGENT QUERY PROCESSING IN MALAYALAMINTELLIGENT QUERY PROCESSING IN MALAYALAM
INTELLIGENT QUERY PROCESSING IN MALAYALAM
 
Named Entity Recognition using Tweet Segmentation
Named Entity Recognition using Tweet SegmentationNamed Entity Recognition using Tweet Segmentation
Named Entity Recognition using Tweet Segmentation
 
Tovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio CostantiniTovek Presentation 2 by Livio Costantini
Tovek Presentation 2 by Livio Costantini
 
An Efficient Approach for Keyword Selection ; Improving Accessibility of Web ...
An Efficient Approach for Keyword Selection ; Improving Accessibility of Web ...An Efficient Approach for Keyword Selection ; Improving Accessibility of Web ...
An Efficient Approach for Keyword Selection ; Improving Accessibility of Web ...
 
Ir 01
Ir   01Ir   01
Ir 01
 
Diacritic Oriented Arabic Information Retrieval System
Diacritic Oriented Arabic Information Retrieval SystemDiacritic Oriented Arabic Information Retrieval System
Diacritic Oriented Arabic Information Retrieval System
 

Similar to Ethnograph 10 Jul07

Ethnograph 11 Jul07
Ethnograph 11 Jul07Ethnograph 11 Jul07
Ethnograph 11 Jul07
Clara Kwan
 
Introduction to Qualitative Research - Syllabus Spring 2014
Introduction to Qualitative Research - Syllabus Spring 2014Introduction to Qualitative Research - Syllabus Spring 2014
Introduction to Qualitative Research - Syllabus Spring 2014
Joan E. Hughes, Ph.D.
 
An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
 An Investigation of Keywords Extraction from Textual Documents using Word2Ve... An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
IJCSIS Research Publications
 
kantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptkantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.ppt
butest
 

Similar to Ethnograph 10 Jul07 (20)

Ethnograph 11 Jul07
Ethnograph 11 Jul07Ethnograph 11 Jul07
Ethnograph 11 Jul07
 
qualitative.ppt
qualitative.pptqualitative.ppt
qualitative.ppt
 
Using Computer as a Research Assistant in Qualitative Research
Using Computer as a Research Assistant in Qualitative ResearchUsing Computer as a Research Assistant in Qualitative Research
Using Computer as a Research Assistant in Qualitative Research
 
Preservation Planning using Plato, by Hannes Kulovits and Andreas Rauber
Preservation Planning using Plato, by Hannes Kulovits and Andreas RauberPreservation Planning using Plato, by Hannes Kulovits and Andreas Rauber
Preservation Planning using Plato, by Hannes Kulovits and Andreas Rauber
 
Introduction to Qualitative Research - Syllabus Spring 2014
Introduction to Qualitative Research - Syllabus Spring 2014Introduction to Qualitative Research - Syllabus Spring 2014
Introduction to Qualitative Research - Syllabus Spring 2014
 
An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
 An Investigation of Keywords Extraction from Textual Documents using Word2Ve... An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
An Investigation of Keywords Extraction from Textual Documents using Word2Ve...
 
Information_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_HabibInformation_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_Habib
 
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
Management of Metadata in Linguistic Fieldwork: Experience from the ACLA Pro...
 
01.intro
01.intro01.intro
01.intro
 
Formation au logiciel NVivo d'analyse de données qualitatives
Formation au logiciel NVivo d'analyse de données qualitativesFormation au logiciel NVivo d'analyse de données qualitatives
Formation au logiciel NVivo d'analyse de données qualitatives
 
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS A scientometric analysis of cloud c...
 
Methodology and Campaign Design for the Evaluation of Semantic Search Tools
Methodology and Campaign Design for the Evaluation of Semantic Search ToolsMethodology and Campaign Design for the Evaluation of Semantic Search Tools
Methodology and Campaign Design for the Evaluation of Semantic Search Tools
 
Qualitative Analysis Syllabus Final
Qualitative Analysis Syllabus FinalQualitative Analysis Syllabus Final
Qualitative Analysis Syllabus Final
 
IRJET- Automated Document Summarization and Classification using Deep Lear...
IRJET- 	  Automated Document Summarization and Classification using Deep Lear...IRJET- 	  Automated Document Summarization and Classification using Deep Lear...
IRJET- Automated Document Summarization and Classification using Deep Lear...
 
Modular Documentation Joe Gelb Techshoret 2009
Modular Documentation Joe Gelb Techshoret 2009Modular Documentation Joe Gelb Techshoret 2009
Modular Documentation Joe Gelb Techshoret 2009
 
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETSQUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
 
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETSQUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
QUESTION ANSWERING MODULE LEVERAGING HETEROGENEOUS DATASETS
 
CREW VRE Release 5 - 2009 May
CREW VRE Release 5 - 2009 MayCREW VRE Release 5 - 2009 May
CREW VRE Release 5 - 2009 May
 
ExperTwin: An Alter Ego in Cyberspace for Knowledge Workers
ExperTwin: An Alter Ego in Cyberspace for Knowledge WorkersExperTwin: An Alter Ego in Cyberspace for Knowledge Workers
ExperTwin: An Alter Ego in Cyberspace for Knowledge Workers
 
kantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.pptkantorNSF-NIJ-ISI-03-06-04.ppt
kantorNSF-NIJ-ISI-03-06-04.ppt
 

Recently uploaded

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Recently uploaded (20)

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 

Ethnograph 10 Jul07

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11. Coding by hand to coding by Ethnograph
  • 12.
  • 13.
  • 14.
  • 15.
  • 17.
  • 18.
  • 19.  
  • 20.
  • 21.
  • 22. Entering face sheet values for different groups Group 1 belongs to public school and had not changed subject major Group 2 belongs to private school students and had changed subject major 2 times
  • 23.
  • 24.
  • 25. Entering identifier sheet values for different subjects Group 1 M2 subject whose parents income is $10,000 per month and the education level is not high Group2 M1 subject whose parents income is $67,000 per month and the education level is not high
  • 26.
  • 27.
  • 28.
  • 29.