Interactive CFA Analysis Commands Used for Table 3

1

Appendix

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Interactive CFA Analysis Commands Used for Table 3

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Configural Frequency Analysis

data entry via file (= 1) or interactive (= 2)?

2

Please give the number of variables (max = 10)

4

give number of categories for variable 1

2

give number of categories for variable 2

2

give number of categories for variable 3

2

give number of categories for variable 4

2

number of cells = 16

# of categories of variable 2

# of categories of variable 2

# of categories of variable 2

# of categories of variable 2

frequency for configuration 1111

42

frequency for configuration 1112

4

frequency for configuration 1121

9

frequency for configuration 1122

2

frequency for configuration 1211

11

frequency for configuration 1212

4

frequency for configuration 1221

2

frequency for configuration 1222

3

frequency for configuration 2111

16

frequency for configuration 2112

3

frequency for configuration 2121

17

frequency for configuration 2122

8

frequency for configuration 2211

22

frequency for configuration 2212

6

frequency for configuration 2221

19

frequency for configuration 2222

25

sample size N = 193.

do you wish to save your data?

yes = 1; no = 2

1

please give file name for saving data

Table3

Here are the current options for CFA models:

Zero Order CFA = 0

First Order CFA = 1

For any higher order model: indicate order

Two-sample CFA = 20

(for two-sample CFA: the last variable must be the grouping variable)

Please make your choice

1

option 1 was chosen

Marginal Frequencies

------

Variable Frequencies

------

1 77. 116.

2 101. 92.

3 108. 85.

4 138. 55.

do you wish to include a covariate?

you can include a maximum of 9 covariates

yes = 1; no = 2

1

please give covariate score for configuration 1111

1

please give covariate score for configuration 1112

1

please give covariate score for configuration 1121

1

please give covariate score for configuration 1122

1

please give covariate score for configuration 1211

-1

please give covariate score for configuration 1212

-1

please give covariate score for configuration 1221

-1

please give covariate score for configuration 1222

-1

please give covariate score for configuration 2111

-1

please give covariate score for configuration 2112

-1

please give covariate score for configuration 2121

-1

please give covariate score for configuration 2122

-1

please give covariate score for configuration 2211

1

please give covariate score for configuration 2212

1

please give covariate score for configuration 2221

1

please give covariate score for configuration 2222

1

do you wish to include a covariate?

you can include a maximum of 8 covariates

yes = 1; no = 2

1

please give covariate score for configuration 1111

1

please give covariate score for configuration 1112

-1

please give covariate score for configuration 1121

-1

please give covariate score for configuration 1122

1

please give covariate score for configuration 1211

1

please give covariate score for configuration 1212

-1

please give covariate score for configuration 1221

-1

please give covariate score for configuration 1222

1

please give covariate score for configuration 2111

1

please give covariate score for configuration 2112

-1

please give covariate score for configuration 2121

-1

please give covariate score for configuration 2122

1

please give covariate score for configuration 2211

1

please give covariate score for configuration 2212

-1

please give covariate score for configuration 2221

-1

please give covariate score for configuration 2222

1

do you wish to include a covariate?

you can include a maximum of 7 covariates

yes = 1; no = 2

2

the following significance tests are available:

binomial test (slow when samples are large) = 1

binomial test using Stirlings formula = 2

Pearsons chi-square test = 3

z-test = 4

normal approximation of binomial test = 5

Lehmacher test (large N, first order CFA) = 6

Lehmacher test is valid only for first order CFA

Lehmacher test with Kuechenhoff correction = 7

(only valid for first order CFA)

Anscombe test (only if each fe > 0.1667) = 8

please type in your choice

4

the z-test will be performed

please give significance level (e.g., 0.05)

.05

please give name for output file

Table3output

do you wish to print the design matrix?

yes = 1; no = 2

1

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Table3output

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Configural Frequency Analysis

------

author of program: Alexander von Eye, 2000

Marginal Frequencies

------

Variable Frequencies

------

1 77. 116.

2 101. 92.

3 108. 85.

4 138. 55.

sample size N = 193

the normal z-test was used

Bonferroni-adjusted alpha = .0031250

a CFA of order 1 was performed

Table of results

------

Configuration fo fe statistic p

------

1111 42. 26.876 2.917 .00176483 Type

1112 4. 5.021 -.456 .32436075

1121 9. 13.881 -1.310 .09509054

1122 2. 11.223 -2.753 .00295231 Antitype

1211 11. 9.430 .511 .30459007

1212 4. 1.762 1.686 .04585748

1221 2. 4.870 -1.301 .09668576

1222 3. 3.938 -.473 .31824957

2111 16. 20.746 -1.042 .14870473

2112 3. 3.876 -.445 .32823497

2121 17. 10.715 1.920 .02742731

2122 8. 8.663 -.225 .41086251

2211 22. 33.948 -2.051 .02014996

2212 6. 6.342 -.136 .44599283

2221 19. 17.534 .350 .36310150

2222 25. 14.176 2.875 .00202173 Type

chi2 for CFA model = 40.6661

df = 9 p = .00000575

LR-chi2 for CFA model = 41.9764

df = 9 p = .00000332

Descriptive indicators of types and antitypes

------

cell Rel. Risk Rank logP Rank

------

1111 1.563 4 2.437 1

1112 .797 9 .220 14

1121 .648 13 .516 10

1122 .178 16 1.486 3

1211 1.166 5 .539 9

1212 2.271 1 .991 6

1221 .411 15 .226 13

1222 .762 12 .188 16

2111 .771 11 .547 8

2112 .774 10 .190 15

2121 1.587 3 1.370 4

2122 .923 8 .328 11

2211 .648 14 1.247 5

2212 .946 7 .303 12

2221 1.084 6 .562 7

2222 1.764 2 2.262 2

Design Matrix

------

1.0 1.0 1.0 1.0 1.0 1.0

1.0 -1.0 1.0 1.0 1.0 -1.0

1.0 1.0 1.0 -1.0 1.0 -1.0

1.0 -1.0 1.0 -1.0 1.0 1.0

1.0 1.0 -1.0 1.0 -1.0 1.0

1.0 -1.0 -1.0 1.0 -1.0 -1.0

1.0 1.0 -1.0 -1.0 -1.0 -1.0

1.0 -1.0 -1.0 -1.0 -1.0 1.0

-1.0 1.0 1.0 1.0 -1.0 1.0

-1.0 -1.0 1.0 1.0 -1.0 -1.0

-1.0 1.0 1.0 -1.0 -1.0 -1.0

-1.0 -1.0 1.0 -1.0 -1.0 1.0

-1.0 1.0 -1.0 1.0 1.0 1.0

-1.0 -1.0 -1.0 1.0 1.0 -1.0

-1.0 1.0 -1.0 -1.0 1.0 -1.0

-1.0 -1.0 -1.0 -1.0 1.0 1.0

CARPE DIEM