Experience Sampling 7.2 Flashcards

1
Q

Experience Sampling

A

Procedure for studying what people do, feel, and think during their
daily lives
Method: Ask people for self-reports at random occasions throughout the day

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2
Q

Experience sampling procedure

A

Cue ppts throughout the day (e.g., text message or pager)
•Signaling cues need to be temporally representative / unbiased

Ppts respond at that moment (or ASAP if can’t)
•Report their objective situation and subjective state in the moment

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3
Q

Properties of the data

A
  • Self report data is always prone to bias
  • Single subject data
  • Collecting data from many subjects
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4
Q

Advantages of experience sampling

A

•Doesn’t rely on recollection and reconstruction of memories
•Ecologically valid
•Doesn’t rely on a single assessment (like most surveys and interviews) but
collects repeated measurements across many occasions

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5
Q

Limitations of experience sampling

A

•Potential self-selection biases
•Not all types of people would participate in such a study
•Not all experiences are captured
•Useful to have a debriefing interview to find out about significant unsampled events
•Potential biases: over-reporting (positive things) and under-reporting
(negative and sensitive things)
•reactivity concerns

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6
Q

Diary Studies

A

•Participants keep a diary and log specific info about activities being
studied
-Qualitative, longitudinal data (a few days to months)
-To help ppts remember to fill out diaries, they are sometimes sent reminders
-Can be applied to UX research
-Focus of research can be broad or narrow

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7
Q

Logging period

A

•Provide a simple framework for ppts to log their data
-Be as specific as possible with what they should log

•In-situ logging
-Log info when the relevant events occur

•Snippet technique

  • Less intrusive
  • record notes in the moment, fill in the details later
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8
Q

Analyze your data

A
  • There will be lots of qualitative, longitudinal data
  • Review and explore the data
  • Figure out what you will code
  • Code your data & analyze it
  • Represent and visualize your data
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