Lecture 4: Measurement and Analysis
9/21/05, 9/26/05
- Measures From Constructs
- How do you decide what to measure?
- Start with your hypothesis
- Read up on the literature
- The Goal: Put the construct in numbers!
- Evaluating Measures
- Reliability
- Observed score = true score + error
- Sources of error?
- Types of reliability
- Test-retest
- Split half
- Internal consistency
- Validity
- What is face validity?
- Criterion validity
- Construct validity
- Reliability & Validity
- Scales of Measurement
- What are nominal scales?
- What are ordinal scales?
- What are interval scales?
- What are ratio scales?
- Statistics!
- What is a population?
- What is a sample?
- Descriptive statistics
- Mean
- Median
- Mode
- Standard deviation
- Standard normal distribution
- Histogram
- Skew
- Inferential Statistics
- Hypothesis testing
- What is the null hypothesis?
- What is the alternative hypothesis?
- Goal: reject the null hypothesis
- Alpha level
- Type I error
- Type II error
- Effect size
- Power
- Difference between statistical significance and practical significance
Research
Methods Page
Last updated: 9/20/05