SlideShare a Scribd company logo
1 of 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

More Related Content

Similar to Carma internet research module: Research design catalog

Researching Online and Online Learning Research
Researching Online and Online Learning Research Researching Online and Online Learning Research
Researching Online and Online Learning Research Sanjaya Mishra
 
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...Gašper Koren
 
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)Gašper Koren
 
Internet mediatedresearch edirisingha_draft
Internet mediatedresearch edirisingha_draftInternet mediatedresearch edirisingha_draft
Internet mediatedresearch edirisingha_draftPalitha Edirisingha
 
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 internetSyracuse University
 
Falon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler Methodological Workshop Presentation
Falon Deimler Methodological Workshop PresentationFalon Deimler
 
Tenc Winterschool09 Davinia Slideshare
Tenc Winterschool09 Davinia SlideshareTenc Winterschool09 Davinia Slideshare
Tenc Winterschool09 Davinia Slideshareguest94c824
 
Ethnograph 10 Jul07
Ethnograph 10 Jul07Ethnograph 10 Jul07
Ethnograph 10 Jul07Clara Kwan
 
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 StudentsCITE
 
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 StudyCESSDA Training
 
Edirisingha ethics unisa2012_12_june2012
Edirisingha ethics unisa2012_12_june2012Edirisingha ethics unisa2012_12_june2012
Edirisingha ethics unisa2012_12_june2012Palitha Edirisingha
 
Research trends qualitative analysis in cscl
Research trends  qualitative analysis in csclResearch trends  qualitative analysis in cscl
Research trends qualitative analysis in csclMerlien Institute
 
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...Ed Chi
 
empirical-SLR.pptx
empirical-SLR.pptxempirical-SLR.pptx
empirical-SLR.pptxJitha Kannan
 

Similar to 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
 

More from Syracuse University

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 FacultySyracuse University
 
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 PlatformSyracuse University
 
Carma internet research module scale development
Carma internet research module   scale developmentCarma internet research module   scale development
Carma internet research module scale developmentSyracuse University
 
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 proSyracuse University
 
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 issuesSyracuse University
 
Introduction to Advance Analytics Course
Introduction to Advance Analytics CourseIntroduction to Advance Analytics Course
Introduction to Advance Analytics CourseSyracuse 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
 

More from 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
 

Recently uploaded

Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxCarlos105
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptxSherlyMaeNeri
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)lakshayb543
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Celine George
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxChelloAnnAsuncion2
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...JhezDiaz1
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 

Recently uploaded (20)

YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptxYOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
YOUVE GOT EMAIL_FINALS_EL_DORADO_2024.pptx
 
Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptxBarangay Council for the Protection of Children (BCPC) Orientation.pptx
Barangay Council for the Protection of Children (BCPC) Orientation.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
Judging the Relevance and worth of ideas part 2.pptx
Judging the Relevance  and worth of ideas part 2.pptxJudging the Relevance  and worth of ideas part 2.pptx
Judging the Relevance and worth of ideas part 2.pptx
 
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
Visit to a blind student's school🧑‍🦯🧑‍🦯(community medicine)
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 
Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17Field Attribute Index Feature in Odoo 17
Field Attribute Index Feature in Odoo 17
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
 
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
call girls in Kamla Market (DELHI) 🔝 >༒9953330565🔝 genuine Escort Service 🔝✔️✔️
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
ENGLISH 7_Q4_LESSON 2_ Employing a Variety of Strategies for Effective Interp...
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.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