SlideShare ist ein Scribd-Unternehmen logo
1 von 10
CARMA Internet Research Module Research Design Catalog Jeffrey Stanton
May 17-19, 2007 Internet Data Collection Methods (Day 1-2) Research Design Catalog Objective knowledge test 1 shot self report, single data source 1 shot survey, multi-data source Two (or more) wave survey AKA “Panel” Design (Field) Quasi-experiment (Field) Experiment Repeated measures (field) experiment Time series Interview or Focus Group Document analysis Archival text mining Including discussion groups, email archives, text message logs, etc. Naturalistic (unobtrusive) observation Case Study Participant observation Ethnographic methods Historical methods
Mixed Methods Designs Sequential  Explanatory Quantitative data obtained first, qualitative second Example: Cross-sectional web survey followed by Skype interviews Priority given to quantitative data Questioning in qualitative phase driven by specific results obtained earlier Sequential Exploratory Qualitative data obtained first, quantitative second Example: Discussion forum used to develop issues poll Priority given to qualitative data Numbers from quantitative phase used to underscore or affirm themes from qualitative Concurrent Mixed Methods Designs collect quantitative and qualitative data at the same time, for example using open ended comment boxes on a web survey. Neither type of data gets priority, results are synthesized or used for corroboration.
May 17-19, 2007 Internet Data Collection Methods (Day 1-4) Cross Sectional SurveyTiming Exercise: How Long? 150-WordIntroduction Introductory material, implied consent Likert type questions Checklists Open-ended questions Demographics Plus instructions		 45 Likert Items 20 itemchecklist 2 open endedparagraphs 8 demographicquestions
May 17-19, 2007 Internet Data Collection Methods (Day 1-5) Two Condition Quasi-Experiment Condition 1: Introductory material, implied consent Manipulation (condition 1) Dependent measure Demographics Manipulation check Thanks Condition 2: Introductory material, implied consent Manipulation (condition 2) Dependent measure Demographics Manipulation check Thanks
Why Quasi? Why would a web-based, two version survey be considered a quasi-experiment rather than a true experiment? What are some alternative methods of conducting a multi-condition study with manipulations (i.e., other than a web survey)? What are some of the pitfalls of trying to conduct an experiment using Internet tools to interact with research participants?
May 17-19, 2007 Internet Data Collection Methods (Day 1-7) Time 1: Introductory material, implied consent Unique identifier Independent measure Baseline measure Demographics Thanks Time 2: Introductory material, implied consent (Matching) Unique identifier Change measure Experience check Thanks Intervention Maturation Training Design Example 3: Two Wave Panel Design
May 17-19, 2007 Internet Data Collection Methods (Day 1-8) Wall Separated Identifier Identifier Email Identifier Email Identifier Email Identifier Email Identifier Email Identifier Email Identifier Email Identifier Data Identifier Data Identifier Data Identifier Data Identifier Data Identifier Data Wall ,[object Object],[object Object]
May 17-19, 2007 Internet Data Collection Methods (Day 1-10) Design Example 5: Linked Dyads Participant 1: Introductory material, implied consent Unique identifier Scales Demographics Referral Procedure Thanks Recruiting Message Participant 2: Introductory material, implied consent Unique identifier Scales Demographics Referral Check Thanks
Carma internet research module: Research design catalog

Weitere ähnliche Inhalte

Ähnlich wie Carma internet research module: Research design catalog

Falon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop Presentation
Falon Deimler
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07
Clara Kwan
 
Alive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values StudyAlive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values Study
CESSDA Training
 

Ähnlich wie Carma internet research module: Research design catalog (20)

Researching Online and Online Learning Research
Researching Online and Online Learning Research Researching Online and Online Learning Research
Researching Online and Online Learning Research
 
problem
problemproblem
problem
 
Design issues in collecting the data on Ego-Centered Social Networks on the W...
Design issues in collecting the data on Ego-Centered Social Networks on the W...Design issues in collecting the data on Ego-Centered Social Networks on the W...
Design issues in collecting the data on Ego-Centered Social Networks on the W...
 
Collecting Data on Ego-Centered Social Networks on the Web (AOIR2003)
Collecting Data on 
Ego-Centered Social Networks on the Web (AOIR2003)Collecting Data on 
Ego-Centered Social Networks on the Web (AOIR2003)
Collecting Data on Ego-Centered Social Networks on the Web (AOIR2003)
 
Internet mediatedresearch edirisingha_draft
Internet mediatedresearch edirisingha_draftInternet mediatedresearch edirisingha_draft
Internet mediatedresearch edirisingha_draft
 
Carma internet research module: Sampling for internet
Carma internet research module: Sampling for internetCarma internet research module: Sampling for internet
Carma internet research module: Sampling for internet
 
Questionnaire2002
Questionnaire2002Questionnaire2002
Questionnaire2002
 
Falon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop Presentation
 
2.1 Quant Intro
2.1 Quant Intro2.1 Quant Intro
2.1 Quant Intro
 
Tenc Winterschool09 Davinia Slideshare
Tenc Winterschool09 Davinia SlideshareTenc Winterschool09 Davinia Slideshare
Tenc Winterschool09 Davinia Slideshare
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07
 
Towards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong StudentsTowards Automatic Analysis of Online Discussions among Hong Kong Students
Towards Automatic Analysis of Online Discussions among Hong Kong Students
 
Brislinger, Recker: Keeping data re-usable in the evs
Brislinger, Recker: Keeping data re-usable in the evsBrislinger, Recker: Keeping data re-usable in the evs
Brislinger, Recker: Keeping data re-usable in the evs
 
Alive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values StudyAlive and kicking! Keeping data re-usable in the European Values Study
Alive and kicking! Keeping data re-usable in the European Values Study
 
Edirisingha ethics unisa2012_12_june2012
Edirisingha ethics unisa2012_12_june2012Edirisingha ethics unisa2012_12_june2012
Edirisingha ethics unisa2012_12_june2012
 
Research trends qualitative analysis in cscl
Research trends  qualitative analysis in csclResearch trends  qualitative analysis in cscl
Research trends qualitative analysis in cscl
 
Information Seeking with Social Signals: Anatomy of a Social Tag-based Explor...
Information Seeking with Social Signals: Anatomy of a Social Tag-based Explor...Information Seeking with Social Signals: Anatomy of a Social Tag-based Explor...
Information Seeking with Social Signals: Anatomy of a Social Tag-based Explor...
 
empirical-SLR.pptx
empirical-SLR.pptxempirical-SLR.pptx
empirical-SLR.pptx
 
Internet-based research
Internet-based researchInternet-based research
Internet-based research
 
qualitative.ppt
qualitative.pptqualitative.ppt
qualitative.ppt
 

Mehr von Syracuse University

Carma internet research module scale development
Carma internet research module   scale developmentCarma internet research module   scale development
Carma internet research module scale development
Syracuse University
 
Mining tweets for security information (rev 2)
Mining tweets for security information (rev 2)Mining tweets for security information (rev 2)
Mining tweets for security information (rev 2)
Syracuse University
 

Mehr von Syracuse University (20)

Discovery informaticsstanton
Discovery informaticsstantonDiscovery informaticsstanton
Discovery informaticsstanton
 
Basic SEVIS Overview for U.S. University Faculty
Basic SEVIS Overview for U.S. University FacultyBasic SEVIS Overview for U.S. University Faculty
Basic SEVIS Overview for U.S. University Faculty
 
Why R? A Brief Introduction to the Open Source Statistics Platform
Why R? A Brief Introduction to the Open Source Statistics PlatformWhy R? A Brief Introduction to the Open Source Statistics Platform
Why R? A Brief Introduction to the Open Source Statistics Platform
 
Chapter9 r studio2
Chapter9 r studio2Chapter9 r studio2
Chapter9 r studio2
 
Basic Overview of Data Mining
Basic Overview of Data MiningBasic Overview of Data Mining
Basic Overview of Data Mining
 
Strategic planning
Strategic planningStrategic planning
Strategic planning
 
Carma internet research module scale development
Carma internet research module   scale developmentCarma internet research module   scale development
Carma internet research module scale development
 
Carma internet research module getting started with question pro
Carma internet research module   getting started with question proCarma internet research module   getting started with question pro
Carma internet research module getting started with question pro
 
Carma internet research module visual design issues
Carma internet research module   visual design issuesCarma internet research module   visual design issues
Carma internet research module visual design issues
 
Siop impact of social media
Siop impact of social mediaSiop impact of social media
Siop impact of social media
 
Basic Graphics with R
Basic Graphics with RBasic Graphics with R
Basic Graphics with R
 
R-Studio Vs. Rcmdr
R-Studio Vs. RcmdrR-Studio Vs. Rcmdr
R-Studio Vs. Rcmdr
 
Getting Started with R
Getting Started with RGetting Started with R
Getting Started with R
 
Moving Data to and From R
Moving Data to and From RMoving Data to and From R
Moving Data to and From R
 
Introduction to Advance Analytics Course
Introduction to Advance Analytics CourseIntroduction to Advance Analytics Course
Introduction to Advance Analytics Course
 
Installing R and R-Studio
Installing R and R-StudioInstalling R and R-Studio
Installing R and R-Studio
 
Mining tweets for security information (rev 2)
Mining tweets for security information (rev 2)Mining tweets for security information (rev 2)
Mining tweets for security information (rev 2)
 
What is Data Science
What is Data ScienceWhat is Data Science
What is Data Science
 
Reducing Response Burden
Reducing Response BurdenReducing Response Burden
Reducing Response Burden
 
PACIS Survey Workshop
PACIS Survey WorkshopPACIS Survey Workshop
PACIS Survey Workshop
 

Kürzlich hochgeladen

1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
QucHHunhnh
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
ciinovamais
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Kürzlich hochgeladen (20)

Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
Dyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptxDyslexia AI Workshop for Slideshare.pptx
Dyslexia AI Workshop for Slideshare.pptx
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 

Carma internet research module: Research design catalog

  • 1. CARMA Internet Research Module Research Design Catalog Jeffrey Stanton
  • 2. May 17-19, 2007 Internet Data Collection Methods (Day 1-2) Research Design Catalog Objective knowledge test 1 shot self report, single data source 1 shot survey, multi-data source Two (or more) wave survey AKA “Panel” Design (Field) Quasi-experiment (Field) Experiment Repeated measures (field) experiment Time series Interview or Focus Group Document analysis Archival text mining Including discussion groups, email archives, text message logs, etc. Naturalistic (unobtrusive) observation Case Study Participant observation Ethnographic methods Historical methods
  • 3. Mixed Methods Designs Sequential Explanatory Quantitative data obtained first, qualitative second Example: Cross-sectional web survey followed by Skype interviews Priority given to quantitative data Questioning in qualitative phase driven by specific results obtained earlier Sequential Exploratory Qualitative data obtained first, quantitative second Example: Discussion forum used to develop issues poll Priority given to qualitative data Numbers from quantitative phase used to underscore or affirm themes from qualitative Concurrent Mixed Methods Designs collect quantitative and qualitative data at the same time, for example using open ended comment boxes on a web survey. Neither type of data gets priority, results are synthesized or used for corroboration.
  • 4. May 17-19, 2007 Internet Data Collection Methods (Day 1-4) Cross Sectional SurveyTiming Exercise: How Long? 150-WordIntroduction Introductory material, implied consent Likert type questions Checklists Open-ended questions Demographics Plus instructions 45 Likert Items 20 itemchecklist 2 open endedparagraphs 8 demographicquestions
  • 5. May 17-19, 2007 Internet Data Collection Methods (Day 1-5) Two Condition Quasi-Experiment Condition 1: Introductory material, implied consent Manipulation (condition 1) Dependent measure Demographics Manipulation check Thanks Condition 2: Introductory material, implied consent Manipulation (condition 2) Dependent measure Demographics Manipulation check Thanks
  • 6. Why Quasi? Why would a web-based, two version survey be considered a quasi-experiment rather than a true experiment? What are some alternative methods of conducting a multi-condition study with manipulations (i.e., other than a web survey)? What are some of the pitfalls of trying to conduct an experiment using Internet tools to interact with research participants?
  • 7. May 17-19, 2007 Internet Data Collection Methods (Day 1-7) Time 1: Introductory material, implied consent Unique identifier Independent measure Baseline measure Demographics Thanks Time 2: Introductory material, implied consent (Matching) Unique identifier Change measure Experience check Thanks Intervention Maturation Training Design Example 3: Two Wave Panel Design
  • 8.
  • 9. May 17-19, 2007 Internet Data Collection Methods (Day 1-10) Design Example 5: Linked Dyads Participant 1: Introductory material, implied consent Unique identifier Scales Demographics Referral Procedure Thanks Recruiting Message Participant 2: Introductory material, implied consent Unique identifier Scales Demographics Referral Check Thanks