1. Parking lot exercise
Research question: Does income determine what cars people drive?
Literature review: Vehicle registration info., census data, car prices, loan requirements, interviews
Hypothesis: People with higher incomes drive more expensive cars
Testing the hypothesis
Unit of measurement: Car Case: One car
Variables
IV / income: categorical/nominal – high (faculty lot), low (student lot)
DV / car value: two ways:
Continuous 1-5 scale – 1 (cheapest), 5 (most expensive)
Categorical / ordinal, three levels: Low / Medium / High
Data source: CSUF faculty and student lots
Research method: Non-experimental, field observation
Sampling: 10 cars in faculty lot, 10 cars in student lot

2. IV Income - categorical/nominal Student lot - LOW; Faculty lot - HIGH
Original coding sheet
IV Income - categorical/nominal
Student lot - LOW; Faculty lot - HIGH
DV car value - continuous, 1-5 scale

3. Chi-Square (categorical variables) coding sheet
Transfer car values from original sheet, then recode as a categorical variable
1, 2 - LOW MEDIUM 4, 5 - HIGH
Chi-Square (categorical variables) coding sheet
IV Income - categorical/nominal
Student lot - LOW; Faculty lot - HIGH
DV car value - categorical / ordinal - L, M, H

4. Difference between the means coding sheet
Transfer continuous car values from original sheet
Difference between the means coding sheet
IV Income - categorical/nominal
Student lot - LOW; Faculty lot - HIGH
DV car value - continuous, 1-5 scale