Unit 1 – Data Collection
Intro: |
Whatever the hypothesis, design and decisions about how to maximize internal and external validity, we need to go out and collect the data. There are two basic types of behavioral data: observational (when researchers get data from watching participants behavior) and self-report (when researchers get data by asking participants prepared questions about their behavior, thoughts and/or feelings). |
Goal: |
This exercise will give
you some more practice at identifying the major types observational data
collection procedures and the major types of data collection settings
·
Naturalistic
Observation – the participant isn’t aware of the data collector or data collection ·
Undisguised
Participant Observation – the participant know the
data collector is there and may know that their behavior is being recorded ·
Disguised
Participant Observation – the observer looks like someone who belongs in the
situation and the participant does not know that their behavior is being
recorded
·
Field
Setting -- usually defined as “where the participants naturally behave” ·
Laboratory
Setting – bring participants into the laboratory, usually to get the maximum
internal validity and data collection accuracy ·
Structured
Setting -- a
“natural appearing” setting that promotes “natural behavior” while increasing
opportunity for “control” |
Topics: |
There are six topics in
this exercise:
|
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The first several slides of this PowerPoint describe research hypotheses and specify the three major types -- we'll cover the rest of the slides during the next class. Prelude to Data Collection Lecture (pdf) |
Exercise: |
Go to the Psyc350 Canvas section, open the Modules & look in “Unit 1 Pink Things” -- complete the exercise titled U1 – Data Collection Prelude |
Due Date: |
Please have this done before the next lecture -- we will be building on this information then! |