MOVESCI 250 Chapter Notes - Chapter 2: Standard Error, Predictive Validity, Convergent Validity

• School: U of M
• Department: Movement Science
• Course: MOVESCI 250
• Professor: Edward Pitchford

Document Summary

Uses logic and mat to help make decisions in experiments. Probability can be used to determine the likelihood of a specific outcome. Levels of measurement, in ascending order: nominal. Use of a scale to quantify the amount of something. Possesses an absolute zero, even if it is not reached within the data set: ratio. Comments on levels of measurement: hierarchal. Interval and ratio measurements are considered continuous or scalar: parametric statistics must be at least interval-level, non-parametric statistics include only nominal and ordinal statistics. Measurement validity low to high continuum. Relevance validity: face validity and content validity. Does it look like this measures what you want it to measure: content validity. Empirical validity: based on gathering and examination of data, criterion-related validity. Compare results of a measurement process known to be valid. Occurs when a correlation exists between the measure and criterion measure obtained at the same point in time.