Making Systematic Observations Flashcards

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1
Q

Deciding what to Observe

A
Exposure
Through professors
Through participating as a subject
Through reading popular press articles
Through reading peer-reviewed research in journals

Where are the holes?
Where are the inconsistencies?

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2
Q

Operational Definitions

A

Operational definitions are important
Start with a construct (a broad general “thing” like “self-esteem” or “risky sex” or “intelligence”)
Define it further- BE SPECIFIC
Risky sex could be measured by- # of partners, # of partners not use condom, # of times not use condom, % of partners not use condom, etc.
How would we measure alcohol abuse?
Quantity by frequency (how often x how much)
Alcohol dependence scale
Lifetime drinking history

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3
Q

Self Esteem is a Construct

A

Self-esteem is a construct.
Operationalized, we mean “someone’s positive or negative evaluation of themselves”
We search the literature for self-esteem scale or self-esteem measure
In the literature, it looks like Rosenberg’s self-esteem scale is most frequently used

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4
Q

Reliability

A

Reliability?
Can I get the same results more than once?
If I measure alcohol abuse two times within one week, I should get the same results (or very similar results)

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5
Q

Validity

A

Validity?
Am I really measuring alcohol abuse?
Can I predict some behavior?

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6
Q

Scales oF Measurements

A
Nominal- categorizing 
1 = women
2 = men
Ordinal- rank ordering
1 = first place
2 = second place
Interval- rank order but no true zero
1 = strongly disagree; 7 = strongly agree
Ratio- rank order with a true zero
Height, weight
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7
Q

Reducing Participant Bias

A

Hawthorne Effect- subject tries to “do really well”
If you put a lot of effort into the task, then you aren’t acting naturally
Social Desirability
Attempting to display yourself in the best light.
I NEVER drink. I ALWAYS help others.
Reduce bias…
Manipulation checks
Single-blind study

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8
Q

Reducing Experimental Bias

A
What is my agenda?
Experimenter’s race, gender, friendliness, attitude- all affects participant
Reduce experimenter bias…
Mechanize the protocol
Double-blind procedures
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9
Q

Forms of Random/Probability Sampling

A

Simple random sample- each member of the population has an equal chance of being selected as a member of the sample
Stratified sample- the proportions of important subgroups are represented.
Population: 60% female, 40% male
Sample: 60% female, 40% male
Cluster sampling- randomly selected clusters of people who all have something in common.
8th graders from Michigan, Iowa, California

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