Research Methods- Observational design Flashcards

1
Q

Behavioural categories -

A

When a target behaviour is broken up into components that are observable and measurable.

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2
Q

Event sampling -

A

A target behaviour or event is first established then the researcher records this event every time it occurs.

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3
Q

Time sampling -

A

A target individual or group is first established then the researcher records their behaviour in a fixed time frame, say, every 60 seconds.

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4
Q

What is inter-observer reliability?

A

Inter-observer reliability ensures that multiple observers record data consistently and objectively, reducing bias and increasing the validity of the findings.

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5
Q

Why is it recommended to have at least two observers in observational studies?

A

Single observers may miss details or only notice events that confirm their biases, introducing bias into the research process.

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6
Q

How is inter-observer reliability established?

A

Observers familiarize themselves with behavioral categories, observe the same behavior simultaneously, compare and discuss their data, and analyze the results together.

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7
Q

How is inter-observer reliability calculated?

A

It is calculated by correlating the observations made by each pair of observers to produce an overall reliability figure.

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8
Q

What is an unstructured observation?

A

An unstructured observation involves recording everything the researcher sees, producing detailed and rich accounts of behavior, often used in small-scale studies.

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9
Q

What is a structured observation?

A

A structured observation uses predefined behavioral categories and sampling methods to simplify and quantify the recording of target behaviors.

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10
Q

What is an example of an unstructured observation?

A

Observing interactions between a couple and a therapist during a marriage counseling session.

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11
Q

What is an example of a structured observation?

A

Defining specific acts of aggression (e.g., hitting, shouting) in a school playground and counting their occurrences.

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12
Q

What are behavioral categories?

A

Behavioral categories break down target behaviors into observable and measurable actions, such as defining “affection” as hugging, kissing, or holding hands.

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13
Q

Why must behavioral categories be clear and unambiguous?

A

Clear categories ensure that different observers interpret and record behaviors consistently, increasing reliability.

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14
Q

What is event sampling?

A

Event sampling involves counting how often a specific behavior (event) occurs within a target individual or group.

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15
Q

What is an example of event sampling?

A

Counting the number of times football players disagree with the referee during a match.

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16
Q

What is a strength of structured observations?

A

They make data recording easier and more systematic, often producing numerical data that is straightforward to analyze and compare.

16
Q

What is an example of time sampling?

A

Recording a football player’s behavior every 30 seconds during a match.

17
Q

What is time sampling?

A

Time sampling involves recording behavior at predefined intervals, such as noting what a target individual is doing every 30 seconds.

18
Q

What is a limitation of structured observations?

A

They may miss the richness and depth of detail found in unstructured observations.

19
Q

What is a strength of unstructured observations?

A

They provide detailed and rich qualitative data, capturing nuances that structured observations might miss.

20
Q

What is a limitation of unstructured observations?

A

They are more prone to observer bias, as the researcher may only record behaviors that stand out, potentially missing important details.

21
Q

Why should behavioral categories be exclusive and not overlap?

A

Overlapping categories (e.g., “smiling” vs. “grinning”) can lead to inconsistent interpretations, reducing reliability.

22
Q

What is a “dustbin category” in behavioral checklists?

A

A “dustbin category” is a catch-all category for behaviors that don’t fit elsewhere, which can reduce the clarity and reliability of the data.

23
Q

What is a strength of event sampling?

A

It is useful for infrequent behaviors that might be missed with time sampling.

24
Q

What is a limitation of event sampling?

A

If the event is too complex, important details may be overlooked.

25
Q

What is a strength of time sampling?

A

It reduces the number of observations needed, making data collection more manageable.

26
Q

What is a limitation of time sampling?

A

The sampled instances may not be representative of the overall behavior.

27
Q

How can researchers ensure behavioral categories are effective?

A

By making them observable, measurable, and self-evident, and ensuring they cover all possible forms of the target behavior without overlap.

28
Q

What is the role of pilot studies in establishing inter-observer reliability?

A

Pilot studies allow observers to practice using behavioral categories and compare their data, ensuring consistency before the main study.

29
Q

Why is it important to avoid inferences in behavioral categories?

A

Inferences (e.g., “being loving”) can be interpreted differently by observers, reducing reliability.

30
Q

What is the difference between qualitative and quantitative data in observations?

A

Qualitative data provides rich, detailed descriptions, while quantitative data involves numerical measurements, making it easier to analyze and compare.

30
Q

How can structured observations reduce observer bias?

A

By using predefined behavioral categories and systematic sampling methods, structured observations minimize subjective interpretations.

31
Q

What is observer bias?

A

Observer bias occurs when researchers selectively record behaviors that align with their expectations or hypotheses, compromising the validity of the data.

32
Q

What is the importance of training observers in observational studies?

A

Training ensures that observers understand and apply behavioral categories consistently, improving inter-observer reliability and reducing bias.