Module 13

Question 1

Descriptive statistics

Answer 1

used for correlational and experimental designs; measurements of behavior from sample

Question 2

Inferential statistics

Answer 2

inferences about population based on characteristics of sample

Question 3

Statistical significance

Answer 3

not likely to have happened by chance; significant equals 5% of the time or less

Question 4

Reliability

Answer 4

stability and consistency of scores; does not need to be valid to be reliable

Question 5

Types of reliability

Answer 5

test-retest reliability

internal consistency: split-half reliability (Cronbach’s alpha - average correlation for every way a test can be split in half)

Question 6

Validity

Answer 6

how well a test measures what it is supposed to measure; must be reliable to be valid

Question 7

Types of validity

Answer 7

face or content validity (looks like it measures what it is supposed to measure)

predictive validity (how well scores predict actual behavior it is testing)

construct validity (whether the scores are related in expected ways on other questionnaires)

Question 8

T-test

Answer 8

computed for two means to see if they come from same population (e.g., of two groups or variables)

Question 9

ANOVA

Answer 9

analysis of variance

Question 10

Pearson correlation coefficient

Answer 10

-1 to +1

Question 11

Stanford-Binet Intelligence Scale

Answer 11

first IQ test; still widely used today; norming and standardization

Question 12

Wechsler Intelligence Tests

Answer 12

WAIS- IV (adults)
WISC-V (school age children)
WPPSI-IV (preschool and primary school)

Question 13

Flynn effect

Answer 13

each new generation has a higher IQ