Stats

Question 1

Alpha

Answer 1

probability of rejecting the null when it is true

Question 2

ANCOVA

Answer 2

statistically removes variablility in DV due to EV

Question 3

Normal distribution

Answer 3

1SD = 68, 2SD = 95, 3SD = 99

Question 4

Assumptions of Pearson r

Answer 4

linear, unrestricted range of scores, homosc (underest)

Question 5

homoscedasticity

Answer 5

equal variablility of Y scores at all values of X

Question 6

Canonical Correlation

Answer 6

cor of 2 linear combos of variables, predicts stat on criteria

Question 7

Central limit theorem

Answer 7

samp dist of mean approach normal as sample size grows

Question 8

cluster sampling

Answer 8

selecting groups from population: schools, hospitals

Question 9

coefficient of determination

Answer 9

r2. Amount of var in Y accounted for by variability in X

Question 10

correlation coefficient

Answer 10

relationship between two variables

Question 11

counterbalanced design

Answer 11

administering different levels of IV in different orders

Question 12

cross-sequential

Answer 12

combines sross-sectional and longitudnal

Question 13

discriminant function analysis

Answer 13

2 or more continuous predictors, one discrete criterion

Question 14

event sampling

Answer 14

rare behaviors or leave a permanent record

Question 15

Internal validity

Answer 15

variability is due to the IV

Question 16

interval recording

Answer 16

divide time into intervals, record if beh. Occurred

Question 17

kurtosis

Answer 17

peakedness of distribution.

Question 18

leptokurtic

Answer 18

tall distribution

Question 19

platokurtic

Answer 19

flat distribution

Question 20

Least squares criterion

Answer 20

stat used to locate reg. Line to reduce error

Question 21

lisrel

Answer 21

verifies a predfined model or theory

Question 22

Mann-Whitney U

Answer 22

non parametric, 2 independent groups

Question 23

Mean squares between

Answer 23

numerator of F ratio, variability due to IV and error, MSB is larger,

Question 24

Mean squares within

Answer 24

the denominator of the F ratio, variability due to error

Question 25

Mulicollinearity

Answer 25

bad state for MV: predictors are highly correlated

Question 26

Multiple baseline design

Answer 26

appying treatment to different behaviors, settings, groups.

Question 27

Multiple correlation coefficient

Answer 27

R. Relat between 3 or more variables

Question 28

Multiple regression

Answer 28

predicts score on continuous criterion

Question 29

ANOVA

Answer 29

one IV and one DV, each interval or ratio. Preferable to multiple t tests

Question 30

Path analysis

Answer 30

verify a predefined causal model or theory.

Question 31

Scheffe

Answer 31

post hoc, least risk of type I, pairwise and complex

Question 32

Tuckey

Answer 32

post hoc, least risk of type I, pairwise when equal size groups

Question 33

Fisher LSD

Answer 33

post hoc, least risk of type II, pairwise and complex

Question 34

Power

Answer 34

probability of rejecting a false null

Question 35

Protocal analysis

Answer 35

Have subject think outloud and analyze the record of verbalizations

Question 36

randomized block fact. anova

Answer 36

EV is treated as another IV, can analyze main and interaction effects of EV

Question 37

reactivity

Answer 37

effect of being aware of being in a study

Question 38

regression analysis

Answer 38

Predicts a score on a criterion based on a predictor

Question 39

rejection region

Answer 39

sample means that are unlikely to be the result of sampling error, = alpha

Question 40

reversal withdrawal design

Answer 40

ABA

Question 41

Solomon Four

Answer 41

Pretest is considered an IV

Question 42

effects of adding to raw score

Answer 42

+or - changes CT not SD, * or / changes CT and SD

Question 43

Statistical regression

Answer 43

scores moving toward mean when retested

Question 44

Latin square

Answer 44

each level of the IV appears the same number of times in each position

Question 45

Factorial design

Answer 45

two or more Ivs

Question 46

Sampling error

Answer 46

how sample differs from population

Question 47

maximize power

Answer 47

Increasing alpha, big sample, IV more intense

Question 48

Confidence

Answer 48

increases as alpha decreases

Question 49

single sample chi square

Answer 49

one variable, many categories

Question 50

multiple sample chi square

Answer 50

2 ore more variables, many categories

Question 51

assumption of chi square

Answer 51

observations are independent

Question 52

Wilcoxen matched pairs

Answer 52

2 correlated groups, alternative to t-test for correlated samples

Question 53

Man whitney U

Answer 53

2 independent groups, alternative to t-test for independent samples

Question 54

Kruskal wallace

Answer 54

2 + independent groups, alternative to one-way ANOVA

Question 55

Parametric

Answer 55

assumption: normal distribution, homoschedasticity

Question 56

t-test for single sample

Answer 56

compare sample mean to known mean

Question 57

t-test for correlated samples

Answer 57

two correlated groups (a single group is compared to itself)

Question 58

t-test for independent samples

Answer 58

two independent groups (experimental and control)

Question 59

One way Anova

Answer 59

1 IV , 1 DV, and 2+ independent groups

Question 60

Factorial Anova

Answer 60

2 or more IV (2 way = 2 Ivs). If sig, analyze main and interaction

Question 61

Manova

Answer 61

1 or more IV and 2 or more DV

Question 62

Pearson r

Answer 62

both variables are interval or ratio

Question 63

spearman rank order

Answer 63

both variables are rank ordered

Question 64

Phi

Answer 64

both variables are true dichotomies

Question 65

Tetrachoric

Answer 65

both are artificial dichotomies

Question 66

contingency

Answer 66

both are nominal

Question 67

Point biserial

Answer 67

one is true dichotomy and one is interval or ratio

Question 68

biserial

Answer 68

one is artificial dichotomy and one is interval or ratio

Question 69

Eta

Answer 69

assess non-linear relationships; both are interval or ratio