*Observational Design Flashcards

1
Q

What is unstructured observation?

A

A method where the researcher writes down everything they see, producing rich accounts in detail

Appropriate for small observations with few participants.

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2
Q

What is a structured observation?

A

An observation that simplifies target behaviors using behavioral categories

Necessary when there is too much happening to record everything.

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3
Q

Define behavioral categories.

A

Defined, observable, and measurable target behaviors used to produce a structured record

Examples include hugging, kissing, touching, holding hands.

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4
Q

What is continuous recording in unstructured observations?

A

Recording all instances of the target behavior

May not be possible for complex behaviors.

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5
Q

What is event sampling?

A

Counting the number of times a particular behavior occurs

Useful for tracking infrequent behaviors.

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6
Q

What is time sampling?

A

Recording behavior within a predetermined time frame

For example, recording a player’s activity every 30 minutes during a football match.

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7
Q

List the strengths of structured observations.

A
  • Involve behavioral categories
  • Make recording data easy and systematic
  • Produce numerical data for easier analysis and comparison

Structured observations provide a systematic approach.

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8
Q

What are the limitations of unstructured observations?

A

Tend to produce qualitative data that is more difficult to record and analyze

Less systematic than structured observations.

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9
Q

What are the strengths of unstructured observations?

A
  • Provide more depth and detail in data
  • Allow flexibility in what is recorded

Greater risk of observer bias due to lack of objective categories.

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10
Q

What are the strengths of behavioral categories?

A
  • More structured data collection
  • More objective data collection

Helps reduce subjective biases.

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11
Q

List the limitations of behavioral categories.

A
  • May require further interpretation
  • Target behaviors might not be included
  • Categories can overlap
  • Categories may not be exclusive

These issues can complicate data analysis.

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12
Q

What are the strengths of event sampling?

A

Useful for infrequent behaviors and time-effective in reducing the number of observations needed

Helps ensure that rare behaviors are recorded.

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13
Q

What are the limitations of event sampling?

A

Observer may overlook important details if the behavior is too complex

Event sampling may miss nuances of behavior.

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14
Q

What is a limitation of time sampling?

A

Instances when the behavior is sampled may be unrepresentative as a whole

May not capture the full range of behavior.

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