SlideShare a Scribd company logo
1 of 8
Download to read offline
Internet-Based
               Research


The Kipp Group               1
Use of the Internet
   Using the Internet as a research method is
    growing because of ―the speed, ease, and cost
    of conducting an internet-based study‖ (Siah,
    2005, p. 115).
   Internet surveys are more accurate than paper
    and pencil surveys, and data collection and
    processing is automatic and faster (Schaefer &
    Dillman, 1998; Wright, Aquilino, & Supple,
    1998).

The Kipp Group                                       2
   Data collection is easier and more flexible to
    control.
   Internet surveys mitigate ―non-response,
    unpredictable uniformity on response, slow
    replies, possible misinterpretation of questions,
    and costly follow-up‖ (Hagen, 2003, p. 169).




The Kipp Group                                          3
Major Issues
   The major issues surrounding Internet research
    are:
        Confidentiality
        security issues
        response and dropout rates
        restricted access
        web survey design


(Andrews, Nonnecke, & Preece, 2003; Birnbaum, 2004; Oppermann, 1995; Siah, 2005; Truell, 2003)



The Kipp Group                                                                                   4
In response to these concerns:
   Links for the instrument uses automatic Secure
    Socket Layer (SSL) encoding
      An industry standard encryption technology

      Ensures that no one else has access to the
       data and provides another added layer of
       security
      SSL technology encrypts data that passes
       between servers, the end-user (researcher)
       and survey respondents

The Kipp Group                                       5
The survey, by design:
   Is ―in a logical sequence that is readable,
    interesting, and easy to response to‖ (Hagan,
    2003, p. 152).
   Assessment reliability can be reduced when
    questions on instruments are confusing,
    unclear, ambiguous, and procedures of
    assessment are not standardized (Rudner,
    1993).


The Kipp Group                                      6
References
Andrews, D., Nonnecke, B., & Preece, J. (2003). Electronic survey methodology: A case study in
    reaching hard-to-involve internet users. International Journal of Human–Computer Interaction,
    16(2), 185–210.
Birnbaum, M. H. (2004). Human research and data collection via the Internet. Annual Review of
    Psychology, 55(1), 803-832.
Hagan, F. E. (2003). Research methods in criminal justice and criminology (6th ed.). New York: Allyn
    and Bacon.
Oppermann, M. (1995). E-mail surveys—Potential and pitfalls. Marketing Research, 7(3), 29-33.
Sigh, C. Y. (2005). All that glitters is not gold: Examining the perils and obstacles in collecting data on
    the internet. International Negotiation, 10, 115-130.
Schaeffer, D. R., & Dillman, D. A. (1998). Development of a standard e-mail methodology: Results of
    an experiment. Public Opinion Quarterly, 62(3), 378-397.
Rudner, L. M. (1993). Test evaluation. Retrieved November 8, 2006, from http://www.ericae.net
Truell, A. D. (2003). Use of internet tools for survey research. Information Technology, Learning, and
    Performance Journal, 21(1), 31-37.
Wright, D. L., Aquilino, W. S., & Supple, A. J. (1998). A comparison of computer-assisted and paper-
    and-pencil self-administered questionnaires in a survey on smoking, alcohol, and drug use.
    Public Opinion Quarterly, 62(3), 331-353.



The Kipp Group                                                                                                7
For more information on Internet-based research,
  workload/time studies, and surveys, contact:


            The Kipp Group, LLC
               Consulting and Training

                      1246 Divot Drive
                        Shepherd Hills
           Wescosville, Pennsylvania 18106-9620
           Phone, Voice Mail & Fax: 610.398.9733
                  Web: kippgrp.homeip.net
                   Email: kippgrp@ptd.net

More Related Content

Similar to Internet Based Research

Advantages And Disadvantages Of Internet Research Surveys Evidence From The ...
Advantages And Disadvantages Of Internet Research Surveys  Evidence From The ...Advantages And Disadvantages Of Internet Research Surveys  Evidence From The ...
Advantages And Disadvantages Of Internet Research Surveys Evidence From The ...Charlie Congdon
 
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...
 ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION... ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...Nexgen Technology
 
03 keynote dillo
03 keynote dillo03 keynote dillo
03 keynote dilloShareCareX
 
Assignment on Research Methodology
Assignment on Research MethodologyAssignment on Research Methodology
Assignment on Research MethodologyRidhima kad
 
Ou leverhulme gt
Ou leverhulme gtOu leverhulme gt
Ou leverhulme gtAnne Adams
 
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth IsraelDuality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth IsraelLevi Shapiro
 
Digital forensics research: The next 10 years
Digital forensics research: The next 10 yearsDigital forensics research: The next 10 years
Digital forensics research: The next 10 yearsMehedi Hasan
 
Turning Learning into Numbers - A Learning Analytics Framework
Turning Learning into Numbers - A Learning Analytics FrameworkTurning Learning into Numbers - A Learning Analytics Framework
Turning Learning into Numbers - A Learning Analytics FrameworkHendrik Drachsler
 
Personal online reputation: the development of an approach to investigate how...
Personal online reputation: the development of an approach to investigate how...Personal online reputation: the development of an approach to investigate how...
Personal online reputation: the development of an approach to investigate how...Frances Ryan
 
Thoughts on Knowledge Graphs & Deeper Provenance
Thoughts on Knowledge Graphs  & Deeper ProvenanceThoughts on Knowledge Graphs  & Deeper Provenance
Thoughts on Knowledge Graphs & Deeper ProvenancePaul Groth
 
The trend analysis of the level of fin metrics and e-stat tools for research ...
The trend analysis of the level of fin metrics and e-stat tools for research ...The trend analysis of the level of fin metrics and e-stat tools for research ...
The trend analysis of the level of fin metrics and e-stat tools for research ...Alexander Decker
 
11.the trend analysis of the level of fin metrics and e-stat tools for resear...
11.the trend analysis of the level of fin metrics and e-stat tools for resear...11.the trend analysis of the level of fin metrics and e-stat tools for resear...
11.the trend analysis of the level of fin metrics and e-stat tools for resear...Alexander Decker
 
Data Discovery and Visualization
Data Discovery and VisualizationData Discovery and Visualization
Data Discovery and VisualizationDr. Neil Brittliff
 
Natasha intro to rdm c3 dis may 2018.pptx
Natasha intro to rdm c3 dis may 2018.pptxNatasha intro to rdm c3 dis may 2018.pptx
Natasha intro to rdm c3 dis may 2018.pptxARDC
 
Measuring reliability and validity in human coding and machine classification
Measuring reliability and validity in human coding and machine classificationMeasuring reliability and validity in human coding and machine classification
Measuring reliability and validity in human coding and machine classificationStuart Shulman
 

Similar to Internet Based Research (20)

Final october interviewing_techniques
Final october interviewing_techniquesFinal october interviewing_techniques
Final october interviewing_techniques
 
Internet-based research
Internet-based researchInternet-based research
Internet-based research
 
Advantages And Disadvantages Of Internet Research Surveys Evidence From The ...
Advantages And Disadvantages Of Internet Research Surveys  Evidence From The ...Advantages And Disadvantages Of Internet Research Surveys  Evidence From The ...
Advantages And Disadvantages Of Internet Research Surveys Evidence From The ...
 
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...
 ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION... ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...
ENABLING FINE-GRAINED MULTI-KEYWORD SEARCH SUPPORTING CLASSIFIED SUB-DICTION...
 
Questionnaire2002
Questionnaire2002Questionnaire2002
Questionnaire2002
 
Oracle openworld-presentation
Oracle openworld-presentationOracle openworld-presentation
Oracle openworld-presentation
 
03 keynote dillo
03 keynote dillo03 keynote dillo
03 keynote dillo
 
Assignment on Research Methodology
Assignment on Research MethodologyAssignment on Research Methodology
Assignment on Research Methodology
 
Ou leverhulme gt
Ou leverhulme gtOu leverhulme gt
Ou leverhulme gt
 
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth IsraelDuality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel
Duality Technologies_Driving Secure Collaboration in Healthcare_mHealth Israel
 
Digital forensics research: The next 10 years
Digital forensics research: The next 10 yearsDigital forensics research: The next 10 years
Digital forensics research: The next 10 years
 
Turning Learning into Numbers - A Learning Analytics Framework
Turning Learning into Numbers - A Learning Analytics FrameworkTurning Learning into Numbers - A Learning Analytics Framework
Turning Learning into Numbers - A Learning Analytics Framework
 
Personal online reputation: the development of an approach to investigate how...
Personal online reputation: the development of an approach to investigate how...Personal online reputation: the development of an approach to investigate how...
Personal online reputation: the development of an approach to investigate how...
 
Thoughts on Knowledge Graphs & Deeper Provenance
Thoughts on Knowledge Graphs  & Deeper ProvenanceThoughts on Knowledge Graphs  & Deeper Provenance
Thoughts on Knowledge Graphs & Deeper Provenance
 
The trend analysis of the level of fin metrics and e-stat tools for research ...
The trend analysis of the level of fin metrics and e-stat tools for research ...The trend analysis of the level of fin metrics and e-stat tools for research ...
The trend analysis of the level of fin metrics and e-stat tools for research ...
 
11.the trend analysis of the level of fin metrics and e-stat tools for resear...
11.the trend analysis of the level of fin metrics and e-stat tools for resear...11.the trend analysis of the level of fin metrics and e-stat tools for resear...
11.the trend analysis of the level of fin metrics and e-stat tools for resear...
 
Data Discovery and Visualization
Data Discovery and VisualizationData Discovery and Visualization
Data Discovery and Visualization
 
Brownie v1.0
Brownie v1.0Brownie v1.0
Brownie v1.0
 
Natasha intro to rdm c3 dis may 2018.pptx
Natasha intro to rdm c3 dis may 2018.pptxNatasha intro to rdm c3 dis may 2018.pptx
Natasha intro to rdm c3 dis may 2018.pptx
 
Measuring reliability and validity in human coding and machine classification
Measuring reliability and validity in human coding and machine classificationMeasuring reliability and validity in human coding and machine classification
Measuring reliability and validity in human coding and machine classification
 

Recently uploaded

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfSeasiaInfotech2
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 

Recently uploaded (20)

Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
The Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdfThe Future of Software Development - Devin AI Innovative Approach.pdf
The Future of Software Development - Devin AI Innovative Approach.pdf
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 

Internet Based Research

  • 1. Internet-Based Research The Kipp Group 1
  • 2. Use of the Internet  Using the Internet as a research method is growing because of ―the speed, ease, and cost of conducting an internet-based study‖ (Siah, 2005, p. 115).  Internet surveys are more accurate than paper and pencil surveys, and data collection and processing is automatic and faster (Schaefer & Dillman, 1998; Wright, Aquilino, & Supple, 1998). The Kipp Group 2
  • 3. Data collection is easier and more flexible to control.  Internet surveys mitigate ―non-response, unpredictable uniformity on response, slow replies, possible misinterpretation of questions, and costly follow-up‖ (Hagen, 2003, p. 169). The Kipp Group 3
  • 4. Major Issues  The major issues surrounding Internet research are:  Confidentiality  security issues  response and dropout rates  restricted access  web survey design (Andrews, Nonnecke, & Preece, 2003; Birnbaum, 2004; Oppermann, 1995; Siah, 2005; Truell, 2003) The Kipp Group 4
  • 5. In response to these concerns:  Links for the instrument uses automatic Secure Socket Layer (SSL) encoding  An industry standard encryption technology  Ensures that no one else has access to the data and provides another added layer of security  SSL technology encrypts data that passes between servers, the end-user (researcher) and survey respondents The Kipp Group 5
  • 6. The survey, by design:  Is ―in a logical sequence that is readable, interesting, and easy to response to‖ (Hagan, 2003, p. 152).  Assessment reliability can be reduced when questions on instruments are confusing, unclear, ambiguous, and procedures of assessment are not standardized (Rudner, 1993). The Kipp Group 6
  • 7. References Andrews, D., Nonnecke, B., & Preece, J. (2003). Electronic survey methodology: A case study in reaching hard-to-involve internet users. International Journal of Human–Computer Interaction, 16(2), 185–210. Birnbaum, M. H. (2004). Human research and data collection via the Internet. Annual Review of Psychology, 55(1), 803-832. Hagan, F. E. (2003). Research methods in criminal justice and criminology (6th ed.). New York: Allyn and Bacon. Oppermann, M. (1995). E-mail surveys—Potential and pitfalls. Marketing Research, 7(3), 29-33. Sigh, C. Y. (2005). All that glitters is not gold: Examining the perils and obstacles in collecting data on the internet. International Negotiation, 10, 115-130. Schaeffer, D. R., & Dillman, D. A. (1998). Development of a standard e-mail methodology: Results of an experiment. Public Opinion Quarterly, 62(3), 378-397. Rudner, L. M. (1993). Test evaluation. Retrieved November 8, 2006, from http://www.ericae.net Truell, A. D. (2003). Use of internet tools for survey research. Information Technology, Learning, and Performance Journal, 21(1), 31-37. Wright, D. L., Aquilino, W. S., & Supple, A. J. (1998). A comparison of computer-assisted and paper- and-pencil self-administered questionnaires in a survey on smoking, alcohol, and drug use. Public Opinion Quarterly, 62(3), 331-353. The Kipp Group 7
  • 8. For more information on Internet-based research, workload/time studies, and surveys, contact: The Kipp Group, LLC Consulting and Training 1246 Divot Drive Shepherd Hills Wescosville, Pennsylvania 18106-9620 Phone, Voice Mail & Fax: 610.398.9733 Web: kippgrp.homeip.net Email: kippgrp@ptd.net