Making Systematic Observations Flashcards
Deciding what to Observe
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?
Operational Definitions
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
Self Esteem is a Construct
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
Reliability
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)
Validity
Validity?
Am I really measuring alcohol abuse?
Can I predict some behavior?
Scales oF Measurements
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
Reducing Participant Bias
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
Reducing Experimental Bias
What is my agenda? Experimenter’s race, gender, friendliness, attitude- all affects participant Reduce experimenter bias… Mechanize the protocol Double-blind procedures
Forms of Random/Probability Sampling
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