PSY 348: Lecture 2
Attitudes
Beliefs
Behaviors
Physiology
Planning
Brain Activity
Thoughts
Performance/Ability
Attenton
Memory
The process of defining the measurement of a phenomenon that is not directly measurable (AKA a latent variable) though its existence is implied by other phenomena.
How could we measure happiness?
Attitudes, Beliefs, Thoughts
Behaviors
Brain activity
Performance/Abilities
What could I do, or what I could I ask?
Self-Report OR Behavioral Measures
Observation
Implicit Measures
Tests
Surveys
Questionnaires
Polls
Quizzes
Instruments
Most popular method of assessing attitudes*
Can obtain large amounts of data
(Fairly) Quick
Allows for adaptive testing
(Fairly) Inexpensive
Anonymous respondents are less likely to make things up
Allow respondents to answer in private
Don’t make your experiment too obvious/revealing
Add questions that test for respondent awareness
Purposely make some questions opposite
Taking a flier
Signing a petition
Internet Behavior 1
Moving a chair
Donating money
Live aggression by adult
Videotaped aggression by adult
Cartoon aggression
Time consuming
Different reviewers/observers may score behaviors differently.
Coding scheme
Inter-rater Reliability
Functional Magnetic Resonance Imaging (fMRI)
Neuroimaging of brain activity
Electroencephalography (EEG)
Electrodes on surface of scalp measures brain activity
Others may choose to measure the phenomena differently from us
Operationalization can be culture-specific
What we measure is based on observable parts of the phenomena, but some parts may be unobservable
Observer children for one hour and…
Label them as Aggressive or Non-Aggressive
Rank them from most aggressive to least aggressive
Score them on a 10-point scale.
1 = No Aggression
10 = All of the Aggression
Count number of aggressive behaviors
Labels Nominal
Rank Order
Scale Interval
Count Ratio
Nominal refers to categories that CANNOT be ordered:
Condition (experimental, control)
Gender
Major in college
Coffee drinker versus Non-coffee drinker
Android User or iPhone User
Ordinal refers to categories that CAN be ordered, but the space between each category isn’t the same:
Olympic Medals
Winner in a Race
Your rank in this class
Your top 10 Movies
Rarely used in psychological research, because it is hard to calculate variance when the interval between each number differs.
There are non-parametric statistics designed for ordinal scales, but we will not be covering those this semester.
Interval refers to ratings that are ordered where the interval between each rating is the same, but there is no real “0.”
Temperature*
“On a scale of 1-10 How much do you agree with the following statement…”
GPA
Ratio, refers to ratings that are ordered, the interval between each rating is the same, and “0” means “0.”
Length
Reaction Time
Dosage
Money Donated
Interval may have a 0 on the scale, but it doesn’t mean the absence of something. A 0.0 GPA means an F rather than the absence of a grade.
Ratio has a 0 that. means 0 (the absence of something), like a ‘0’ as a response to the questions, “How many drinks did you have last night?”
Discrete variables have predefined values
US States
Flavors of Ice Cream
Continous Variables can occupy several different values
Reaction Time
TV Ratings
Undergraduates report their self-esteem on a scale of 1 to 10. Researchers assess the relationship of undergraduates’ self-esteem and GPA.
Predictor variable: Self-Esteem | Continuous (Interval)
Outcome variable: GPA | Continuous (Interval)
Participants are given a mystery drug or placebo and then asked to complete puzzle tasks. Researchers time how long participants take to complete the puzzles.
Independent variable: Drug vs. Placebo | Categorical (Nominal)
Dependent variable: Reaction Time | Continuous (Ratio)
Undergraduates are shown either pictures of death or pictures of landscapes. They then report their anxiety about aging on a scale of 1 (none) to 10 (lots).
Independent variable: Pictures of death versus landscapes | Categorical (Nominal)
Dependent variable: Anxiety about dying | Continuous (Interval)
Statistical tests can only be run on specific scales of measurement.
t-test & ANOVA: Nominal IV/predictor and Continuous DV/outcome
Correlation & Regression: All continuous
Generally, continuous variables (interval and ratio scales) lend themselves better to statistical analysis.
As a researcher, you should plan out your statistical analysis BEFORE conducting your study, so that you measure your variables in a way that matches the type of analyses you will run.
Data can be coerced into different formats
‘Correct’ or ‘Supporting’ results can come from bogus data
Every person in the group I am interested in studying
A small subset of people from the population who we will actually study in our experiment.
Information about the population.
Information about the sample.
\(n\) = the number of people in the sample
\(x\) = one datapoint in a sample
\(\bar{x}\) = Arithmetic mean (average) for a sample, x
\(\Sigma(x)\) = The sum of all values in a sample, x
\(\sum^{n}_{i = 1}= x_1 +x_2+x_3...\)
Esmeralda is taking Statistics for the Psychological Sciences. On her first exam, she scored 98. The average grade among the 26 students on that exam was 97
n:
x:
\(\bar{x}\)
Professor Brocker is interested in how many Farmingdale students watch the Netflix Original, Dark. He plans to ask 200 students if they have seen it or not.
N:
n:
Scale of Measurement:
A research study surveys 500 college student across 5 campuses in the United States, asking them to rate their self-esteem on a scale of 1 to 10.
Sample:
Population:
Scale of Measurement:
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