Chapter 2 Flashcards
Schema
Cognitive generalization that organizes and guides the processing of information
Behaivoral variability
How and why behaivor varies across situations
Descriptive statistics
Used to summarize or describe the behaivor of the participants in the study
Inferential statistics
Used to draw conclusions about the reliability and generalizability of ones findings
Variance
The amount of observed variability in a participant’s behaivor
Range
The difference between the largest and smallest scores
How to calculate variance
- Calculate the mean
- Calculate the deviation scores
- Square the deviation scores
- Calculate the total sum of scores
- Calculate variance(device sum of squares by one less than number of participants in sample)
Total variance
Total variability in a set of data or both systematic and error variance
Systematic variance
That part of the total variance int he study that si related in an orderly, predictable fashion tot he variables the researcher is trying to investigate
Error variance
A proportion of the total variance that remains unaccounted for and is unrelated to the variables under investigation in the study
How to determine the proportion of the total variance that is systematic
Porportion of total variance that is systematic= systematic variance/total variance
Effect size
How strongly variables in a study are related to one another
Perfect relationship
The variables are as strongly related as they can possibly be and porportion of total variance that is systematic= 1.00
Meta analysis
Used to analyze and integrate the results form a large set of individual studies
