Midterm 1 Flashcards
interquartile range: how to calculate
find median of upper quartile-median of lower quartile
best central tendency/measures of dispersion to use with outliers
median/interquartile range
how to calculate variance
square difference of each number, add squares, divide by N-1. Measured in units of standard deviation
standard deviation
square root of variance, measured in original units
type 1 error
rejected null hypothesis, but decision is wrong. Probability is alpha
type 2 error
failed to reject null hypothesis, but decision is wrong. Probability is beta.
Effect size
estimate of the magnitude of the difference among sets of scores, while taking into account the amount of variability in the scores. Useful for meta-analysis
Confidence interval
Based on the data for a sample, we can be 95% confident the calculated interval captures the population mean
Power
ability to find effect: probability that study will produce a statistically significant effect if the researcher’s hypothesis is true. 1-beta. Increasing sample size to increase power.
Reliability when evaluating measures
-consistency and -minimum of measurement errors. About reproduction
Validity when evaluating measures
-measuring what you want to measure. Must obtain evidence that supports hypothesis that dependent variable actually measures the construct it is supposed to measure
content validity
measures measure broadly what they are supposed to. For example: a job satisfaction survey questions a broad array of relevant beliefs and behaviors
-most basic level
criterion validity
ability to predict another aspect of construct. In example of job satisfaction, does your survey predict absenteeism? Also might mean your measure correlates with other measures/criteria of construct.
Helps establish construct validity
construct validity
Does the operational definition truly represent the abstract construct?
-Provide clear definition of abstract construct
-collect convergent and divergent data
Construct validity not established or destroyed in single study
nominal scale
two options, male or female, categories labeled as 0 or 1