Stats

Question 1

Nominal 1 IV - 2+ indep groups

Answer 1

Chi square

Question 2

> 1 nom IV, 2+ indep grps per

Answer 2

Multiple sample chi-square

Question 3

1+ nom IV, 2+ CORR grps per

Answer 3

McNemar

Question 4

1 IV & 1 DV - Interval or ratio data:

1 indep group

2 indep group

Answer 4

1 - t test single sample

2 - t test independent samples

Question 5

1 IV & 1 DV - Ordinal data

1 indep group -

2 indep group -

Answer 5

1 - kolmogorov (single vodka)

2 - Mann-Whitney (indep man) or median test or Kolmogorov-smirnov (double vodka)

Question 6

1 IV & 1 DV - interval/ratio

2 correlated groups

Answer 6

T test matched samples

Question 7

1 IV & 1 DV - Ordinal Data

2 correlated groups

Answer 7

Wilcoxon (sign rank) or sign test

Ordinal oxen matches rank

Question 8

1 IV & 1 DV - interval/ratio

> 2 correlated groups

Answer 8

One way repeated meas Anova

Question 9

1 IV & 1 DV - Ordinal

> 2 correlated groups

Answer 9

Friedman

Question 10

1 IV & 1 DV - interval/ratio

> 2 indep groups

Answer 10

One way ANOVA

Question 11

1 IV & 1 DV - Ordinal

> 2 indep groups

Answer 11

Kruskall Wallis

Question 12

2 IV
2+ groups per IV

All independent

Answer 12

2 way ANOVA

Question 13

2 IV
2+ groups per IV

One IV w corr groups,
Other w indep groups

Answer 13

Split plot ANOVA or

mixed ANOVA

Question 14

2 IV
2+ groups per IV

Both IVs w corr groups

Answer 14

Repeated measures factorial ANOVA

Question 15

2 IV
2+ groups per IV

One IV blocked,
indep groups

Answer 15

Randomized block ANOVA

Question 16

2 IV
2+ groups per IV

W covariate, indep/corr groups

Answer 16

Ancova

Question 17

> 1 DV
2+ groups per IV
Indep and corr groups

Answer 17

Manova - multivariate ANOVA

Question 18

The coefficient of determination

Answer 18

% of variability in Y shared/accounted for by X.

Generated by squaring the correlation coefficient.

Question 19

Line of best fit

Answer 19

pred line through scatter plot; made from least squares criterion. Y = a + bX (performance = y-intercept + slope(yrsEdu)

Question 20

Assumptions of bivariate correlations

Answer 20

a. linear relationship b. homoscedasticity (consistent spread) c. unrestricted range

Question 21

Correlation co-eff: X, Y = int/ratio

Answer 21

Pearson r

Question 22

Correlation co-eff: X, Y = ordinal

Answer 22

spearman’s rho / Kendall’s Tau

Question 23

Correlation co-eff: X = int/ratio, Y = true dichotomy

Answer 23

point-biserial

Question 24

Correlation co-eff: X = int/ratio, Y = artificial dichotomy

Answer 24

Biserial

Question 25

Correlation co-eff: X, Y = true dichotomy

Answer 25

Phi

Question 26

Correlation co-eff: X, Y = artificial dichotomies

Answer 26

Tetrachoric

Question 27

Correlation co-eff: XY = curviliniar relationship

Answer 27

Eta

Question 28

Slope and beta values

Answer 28

“b” values can be standardized partial slopes; “b” used when comparing variables btw studies or samples, but beta only compares within a study/sample.

Question 29

Discriminant function analysis

Answer 29

Used when Y is nominal (not interv/ratio; allows prediction of membership based on kwg of a set of predictor variables: likelihood of passing EPPP based on time spent studying and practice tests completed.

Question 30

Logit

Answer 30

Loglinear analysis: predict category based on categorical var(s). [b/g pred pass/fail]

Question 31

Standard error of measurement

Answer 31

SD x sqrt(1-reliability) e.g., r=0.84; 1-0.84 = 0.16; sqrt0.16 = 0.4; If SD is 15, then 15x0.4 = 6