SlideShare a Scribd company logo
1 of 14
Data Collection Methods:
Observation Studies

       Deepak Khazanchi
OBSERVING
   Observation is a method of data
    gathering in which a qualified person
    watches, or walks through, the actual
    processing associated with a system
       Best for studying processes, e.g.
        manufacturing
       Useful for studying the work flow through
        an office for example
       Could be active or passive
Observation
   Nonbehavioral observation
       Record analysis:
            Analysis of historical or current records and public or
             private records.
       Physical condition analysis
            Audits of merchandise availability, studies of plant safety
             compliance, etc.
       Process or activity analysis
            Time/motion studies, financial flows in a banking system,
             paper flow in office systems, etc.
Observation
   Behavioral observation
       Nonverbal analysis
            E.g., Monitoring eye movement in user-interface studies.
       Linguistic analysis
            E.g., study of a sales presentation’s content or the study
             of what, how, and how much information is conveyed in
             a training situation.
       Extralinguistic analysis
            E.g., study of the linguistic content of the interaction
             between supervisors and subordinates.
       Spatial analysis
            E.g., a study of how salespeople physically approach
             customers.
Advantages of the
Observational Method
   Collect the original data at the time it
    occurs
   Secure information that participants
    would ignore because it’s so common it
    is not seen as relevant
   Only method available to collect certain
    types of data
Advantages of the
Observational Method (cont.)
   Capture the whole event as it occurs in
    its natural environment
   Subjects seem to accept an
    observational intrusion better than they
    respond to questioning
Limitations of the
Observational Method
   Observer or recording equipment must
    be at the scene of the event when it
    takes place
   Slow process
   Expensive process
   Most reliable results are restricted to
    information that can be learned by
    overt action or surface indicators
Limitations of the
Observational Method (cont.)
   Research environment is more likely
    suited to subjective assessment and
    recording of data than to quantification
    of events
   Limited as a way to learn about the
    past
   Cannot observe rationale for actions,
    only actions themselves
Relationship between
Observer and Subject
   Direct or indirect observation
   Observer’s presence known or unknown
    to the subject
   Observer is involved or not involved
    with the respondent
Observation Methods: The
Observer-Subject Relationship
   Direct observation
       Observer is physically present to monitor
   Indirect observation
       Observations are recorded (audio, video or other)
   Concealment
       Observes use concealment to shield themselves
        from the object of their observation.
   Participant
       Observer is involved in the activity being observed
The Type of Observational
Study
   Simple Observation
       Exploratory, found in most studies, goal of
        discovery.
   Systematic Observation
       Employs standardized procedures, trained
        observers, schedules for recording, and
        other devices for the observer that mirror
        the scientific procedures for other primary
        data collection methods.
Guidelines for Selecting
Observers
   Ability to concentrate in a setting full of
    distractions
   Ability to remember details of an
    experience
   Ability to be unobtrusive in the
    observational situation
   Ability to extract the most from an
    observational study
Conducting the Study:
Observation Data Collection
   Who?
       What qualifies a subject to be observed?
   What?
       Event Sampling
            Observer records selected behavior that answers the
             investigative question
       Time Sampling
            Observer may record data at fixed points in time for a
             specified length, at specified intervals, or continuously.
Observation Data Collection
(cont’d)
   When?
       Is the time of the study important, or can any
        time be used?
   How?
       Will the data be directly observed? If there sis
        more than one observer, how will the task be
        divided? How will the results be recorded for later
        analysis?
   Where
       Within spatial confine, where does the act take
        place?

More Related Content

Viewers also liked

Observation
ObservationObservation
ObservationSalaSala
 
Sampling techniques Systematic & Purposive sampling
Sampling techniques  Systematic & Purposive samplingSampling techniques  Systematic & Purposive sampling
Sampling techniques Systematic & Purposive samplingSIDDHI SOOD
 
RESEARCH POPULATION
RESEARCH POPULATIONRESEARCH POPULATION
RESEARCH POPULATIONNingsih SM
 
Psycholinguistics
PsycholinguisticsPsycholinguistics
PsycholinguisticsRaul Vargas
 
Slide sampling presentation-latest
Slide sampling presentation-latestSlide sampling presentation-latest
Slide sampling presentation-latestChristina Ringgit
 
Quantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarakQuantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarakHafiza Abas
 
Definition and Scopo of Psycholinguistics
Definition and Scopo of PsycholinguisticsDefinition and Scopo of Psycholinguistics
Definition and Scopo of PsycholinguisticsRezaHalimah
 
Focus Group Discussion
Focus Group DiscussionFocus Group Discussion
Focus Group Discussionwaheedaq
 
Introduction to psycholinguistics
Introduction to psycholinguisticsIntroduction to psycholinguistics
Introduction to psycholinguisticsLusya Liann
 
Theories of Psycholinguistics.
Theories of Psycholinguistics.Theories of Psycholinguistics.
Theories of Psycholinguistics.AleeenaFarooq
 
Beginning concepts in psycholinguistics
Beginning concepts in psycholinguisticsBeginning concepts in psycholinguistics
Beginning concepts in psycholinguisticsAhmed Qadoury Abed
 
Brief Introduction to Psycholinguistics
Brief Introduction to PsycholinguisticsBrief Introduction to Psycholinguistics
Brief Introduction to PsycholinguisticsIqra Abadullah
 
Focus Group Discussion (Fgd)
Focus Group Discussion (Fgd)Focus Group Discussion (Fgd)
Focus Group Discussion (Fgd)Zamboanga
 
Branches of linguistics
Branches of linguisticsBranches of linguistics
Branches of linguisticsamna-shahid
 
Introduction to linguistics ppt
Introduction to linguistics pptIntroduction to linguistics ppt
Introduction to linguistics pptzouhirgabsi
 
Introduction to linguistics lec 1
Introduction to linguistics lec 1Introduction to linguistics lec 1
Introduction to linguistics lec 1Hina Honey
 
Language: Definition, Nature, and Characteristics
Language: Definition, Nature, and CharacteristicsLanguage: Definition, Nature, and Characteristics
Language: Definition, Nature, and CharacteristicsMa Elena Oblino Abainza
 

Viewers also liked (20)

Observation
ObservationObservation
Observation
 
Sampling techniques Systematic & Purposive sampling
Sampling techniques  Systematic & Purposive samplingSampling techniques  Systematic & Purposive sampling
Sampling techniques Systematic & Purposive sampling
 
RESEARCH POPULATION
RESEARCH POPULATIONRESEARCH POPULATION
RESEARCH POPULATION
 
Psycholinguistics
PsycholinguisticsPsycholinguistics
Psycholinguistics
 
Slide sampling presentation-latest
Slide sampling presentation-latestSlide sampling presentation-latest
Slide sampling presentation-latest
 
Quantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarakQuantitative search and_qualitative_research by mubarak
Quantitative search and_qualitative_research by mubarak
 
Definition and Scopo of Psycholinguistics
Definition and Scopo of PsycholinguisticsDefinition and Scopo of Psycholinguistics
Definition and Scopo of Psycholinguistics
 
Theoretical linguistics report
Theoretical linguistics reportTheoretical linguistics report
Theoretical linguistics report
 
Focus Group Discussion
Focus Group DiscussionFocus Group Discussion
Focus Group Discussion
 
Introduction to psycholinguistics
Introduction to psycholinguisticsIntroduction to psycholinguistics
Introduction to psycholinguistics
 
Theories of Psycholinguistics.
Theories of Psycholinguistics.Theories of Psycholinguistics.
Theories of Psycholinguistics.
 
Beginning concepts in psycholinguistics
Beginning concepts in psycholinguisticsBeginning concepts in psycholinguistics
Beginning concepts in psycholinguistics
 
Brief Introduction to Psycholinguistics
Brief Introduction to PsycholinguisticsBrief Introduction to Psycholinguistics
Brief Introduction to Psycholinguistics
 
Psycholinguistics
PsycholinguisticsPsycholinguistics
Psycholinguistics
 
Focus Group Discussion (Fgd)
Focus Group Discussion (Fgd)Focus Group Discussion (Fgd)
Focus Group Discussion (Fgd)
 
Branches of linguistics
Branches of linguisticsBranches of linguistics
Branches of linguistics
 
Introduction to linguistics ppt
Introduction to linguistics pptIntroduction to linguistics ppt
Introduction to linguistics ppt
 
Psycholinguistics
PsycholinguisticsPsycholinguistics
Psycholinguistics
 
Introduction to linguistics lec 1
Introduction to linguistics lec 1Introduction to linguistics lec 1
Introduction to linguistics lec 1
 
Language: Definition, Nature, and Characteristics
Language: Definition, Nature, and CharacteristicsLanguage: Definition, Nature, and Characteristics
Language: Definition, Nature, and Characteristics
 

Similar to Data Collection Methods: Observation Studies

Observation as a method of data collection
Observation as a method of data collectionObservation as a method of data collection
Observation as a method of data collectionArifa T N
 
PPT on Observation Methods [BRM}.pdf
PPT on Observation Methods [BRM}.pdfPPT on Observation Methods [BRM}.pdf
PPT on Observation Methods [BRM}.pdfRoselifeOnline
 
Data Collection And Analysis
Data Collection And AnalysisData Collection And Analysis
Data Collection And AnalysisDivya Krishnan
 
Data collection techniques
Data collection techniquesData collection techniques
Data collection techniquesJoao Papelo
 
chtoik new.pptx
chtoik new.pptxchtoik new.pptx
chtoik new.pptxAtamullaev
 
Observation: tool for data collection
Observation: tool for data collectionObservation: tool for data collection
Observation: tool for data collectionKawita Bhatt
 
Observation as a Research Tool
Observation as a Research ToolObservation as a Research Tool
Observation as a Research ToolJohnToppo
 
Observation methods of data collection in behavioral science
Observation methods of data collection in behavioral scienceObservation methods of data collection in behavioral science
Observation methods of data collection in behavioral scienceJake Odunga
 
Adler clark 4e ppt 11
Adler clark 4e ppt 11Adler clark 4e ppt 11
Adler clark 4e ppt 11arpsychology
 
Lecture - 3(Observational method).ppt
Lecture - 3(Observational method).pptLecture - 3(Observational method).ppt
Lecture - 3(Observational method).pptCharuNangia
 

Similar to Data Collection Methods: Observation Studies (20)

Final observation ppt2
Final observation ppt2Final observation ppt2
Final observation ppt2
 
Observation research
Observation researchObservation research
Observation research
 
Observation
Observation Observation
Observation
 
Observation
ObservationObservation
Observation
 
Observation as a method of data collection
Observation as a method of data collectionObservation as a method of data collection
Observation as a method of data collection
 
Observation
ObservationObservation
Observation
 
PPT on Observation Methods [BRM}.pdf
PPT on Observation Methods [BRM}.pdfPPT on Observation Methods [BRM}.pdf
PPT on Observation Methods [BRM}.pdf
 
Data Collection And Analysis
Data Collection And AnalysisData Collection And Analysis
Data Collection And Analysis
 
Data collection techniques
Data collection techniquesData collection techniques
Data collection techniques
 
chtoik new.pptx
chtoik new.pptxchtoik new.pptx
chtoik new.pptx
 
Methods of collecting data
Methods of collecting dataMethods of collecting data
Methods of collecting data
 
Observation: tool for data collection
Observation: tool for data collectionObservation: tool for data collection
Observation: tool for data collection
 
Observation as a Research Tool
Observation as a Research ToolObservation as a Research Tool
Observation as a Research Tool
 
7observation
7observation7observation
7observation
 
Observation methods of data collection in behavioral science
Observation methods of data collection in behavioral scienceObservation methods of data collection in behavioral science
Observation methods of data collection in behavioral science
 
Adler clark 4e ppt 11
Adler clark 4e ppt 11Adler clark 4e ppt 11
Adler clark 4e ppt 11
 
Lecture - 3(Observational method).ppt
Lecture - 3(Observational method).pptLecture - 3(Observational method).ppt
Lecture - 3(Observational method).ppt
 
Observation
ObservationObservation
Observation
 
Observation
ObservationObservation
Observation
 
Observation
ObservationObservation
Observation
 

Recently uploaded

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
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
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
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
 
"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
 

Recently uploaded (20)

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic 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
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
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
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
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
 
"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
 

Data Collection Methods: Observation Studies

  • 1. Data Collection Methods: Observation Studies Deepak Khazanchi
  • 2. OBSERVING  Observation is a method of data gathering in which a qualified person watches, or walks through, the actual processing associated with a system  Best for studying processes, e.g. manufacturing  Useful for studying the work flow through an office for example  Could be active or passive
  • 3. Observation  Nonbehavioral observation  Record analysis:  Analysis of historical or current records and public or private records.  Physical condition analysis  Audits of merchandise availability, studies of plant safety compliance, etc.  Process or activity analysis  Time/motion studies, financial flows in a banking system, paper flow in office systems, etc.
  • 4. Observation  Behavioral observation  Nonverbal analysis  E.g., Monitoring eye movement in user-interface studies.  Linguistic analysis  E.g., study of a sales presentation’s content or the study of what, how, and how much information is conveyed in a training situation.  Extralinguistic analysis  E.g., study of the linguistic content of the interaction between supervisors and subordinates.  Spatial analysis  E.g., a study of how salespeople physically approach customers.
  • 5. Advantages of the Observational Method  Collect the original data at the time it occurs  Secure information that participants would ignore because it’s so common it is not seen as relevant  Only method available to collect certain types of data
  • 6. Advantages of the Observational Method (cont.)  Capture the whole event as it occurs in its natural environment  Subjects seem to accept an observational intrusion better than they respond to questioning
  • 7. Limitations of the Observational Method  Observer or recording equipment must be at the scene of the event when it takes place  Slow process  Expensive process  Most reliable results are restricted to information that can be learned by overt action or surface indicators
  • 8. Limitations of the Observational Method (cont.)  Research environment is more likely suited to subjective assessment and recording of data than to quantification of events  Limited as a way to learn about the past  Cannot observe rationale for actions, only actions themselves
  • 9. Relationship between Observer and Subject  Direct or indirect observation  Observer’s presence known or unknown to the subject  Observer is involved or not involved with the respondent
  • 10. Observation Methods: The Observer-Subject Relationship  Direct observation  Observer is physically present to monitor  Indirect observation  Observations are recorded (audio, video or other)  Concealment  Observes use concealment to shield themselves from the object of their observation.  Participant  Observer is involved in the activity being observed
  • 11. The Type of Observational Study  Simple Observation  Exploratory, found in most studies, goal of discovery.  Systematic Observation  Employs standardized procedures, trained observers, schedules for recording, and other devices for the observer that mirror the scientific procedures for other primary data collection methods.
  • 12. Guidelines for Selecting Observers  Ability to concentrate in a setting full of distractions  Ability to remember details of an experience  Ability to be unobtrusive in the observational situation  Ability to extract the most from an observational study
  • 13. Conducting the Study: Observation Data Collection  Who?  What qualifies a subject to be observed?  What?  Event Sampling  Observer records selected behavior that answers the investigative question  Time Sampling  Observer may record data at fixed points in time for a specified length, at specified intervals, or continuously.
  • 14. Observation Data Collection (cont’d)  When?  Is the time of the study important, or can any time be used?  How?  Will the data be directly observed? If there sis more than one observer, how will the task be divided? How will the results be recorded for later analysis?  Where  Within spatial confine, where does the act take place?