Table 3. Standardized factor loadings from the exploratory structural equation model of the BFPTSQ in the whole sample (M2b) and in the English and Spanish versions of the questionnaire (MG1).
λ Openness | λ Extraversion | λ Agreeableness | λ Conscientiousness | λ Emotional stability | δ | δ | δ | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Item | Whole sample | English | Spanish | Whole sample | English | Spanish | Whole sample | English | Spanish | Whole sample | English | Spanish | Whole sample | English | Spanish | Whole sample | English | Spanish |
1 | .411 | .345 | .460 | .254 | .253 | .254 | .036 | .020 | .024 | .146 | .264 | .090 | .046 | -.020 | .084 | .638 | .610 | .629 |
6 | .501 | .440 | .438 | .116 | .115 | .093 | .180 | .096 | .224 | .088 | .241 | .023 | -.078 | -.126 | -.059 | .632 | .597 | .687 |
11 | .434 | .400 | .535 | .047 | -.014 | .101 | .090 | .031 | .051 | .086 | .131 | .130 | .082 | .048 | .110 | .748 | .798 | .603 |
16 | .480 | .481 | .473 | .151 | .187 | .128 | .066 | .139 | .043 | .018 | .018 | -.002 | -.028 | -.100 | .019 | .704 | .648 | .725 |
21 | .461 | .458 | .475 | .162 | .185 | .151 | .077 | .136 | .034 | .037 | .036 | .040 | .018 | -.048 | .059 | .706 | .676 | .699 |
26 | .430 | .414 | .383 | .053 | .099 | .021 | .151 | .212 | .123 | .001 | .002 | -.010 | -.050 | -.181 | .047 | .776 | .714 | .812 |
31r | .062 | -.065 | .066 | .082 | .088 | .056 | .373 | .348 | .239 | .000 | .104 | -.012 | -.081 | -.150 | -.002 | .851 | .836 | .926 |
36 | .453 | .458 | .426 | .064 | .094 | .031 | .132 | .092 | .171 | .213 | .273 | .167 | .044 | .047 | .038 | .637 | .576 | .684 |
41r | .053 | -.061 | .147 | .033 | .017 | .028 | .237 | .166 | .103 | -.010 | .064 | .034 | .023 | -.010 | .080 | .936 | .960 | .942 |
46 | .297 | .325 | .290 | .027 | .013 | .045 | .034 | .045 | .024 | .011 | -.033 | .052 | -.027 | -.057 | -.005 | .903 | .887 | .898 |
2 | .194 | .103 | .212 | .572 | .580 | .553 | .029 | -.072 | .080 | .075 | .181 | .047 | -.073 | -.109 | -.044 | .563 | .529 | .573 |
7r | -.280 | -.350 | -.184 | .829 | .829 | .821 | .024 | -.001 | .015 | -.097 | -.145 | -.035 | .072 | .127 | .047 | .319 | .298 | .336 |
12 | .241 | .280 | .217 | .355 | .370 | .347 | .007 | .030 | .099 | .166 | .110 | .189 | .157 | .195 | .096 | .642 | .621 | .663 |
17 | .234 | .200 | .389 | .389 | .423 | .401 | -.225 | -.099 | -.248 | .256 | .292 | .166 | .079 | .044 | .105 | .581 | .547 | .574 |
22r | -.331 | -.410 | -.283 | .892 | .885 | .877 | .092 | .058 | .062 | -.072 | -.090 | -.021 | -.059 | -.030 | -.040 | .241 | .253 | .244 |
27 | .264 | .269 | .362 | .359 | .426 | .326 | -.161 | -.125 | -.118 | .198 | .160 | .195 | .269 | .240 | .281 | .543 | .524 | .550 |
32r | -.282 | -.353 | -.209 | .854 | .875 | .836 | .028 | .045 | -.025 | -.062 | -.084 | -.020 | .053 | .083 | .056 | .281 | .238 | .311 |
37 | .067 | .047 | .077 | .813 | .839 | .793 | -.028 | -.011 | .045 | -.062 | -.116 | -.053 | .008 | .038 | -.028 | .339 | .320 | .350 |
42 | .377 | .446 | .296 | .270 | .332 | .234 | -.081 | .035 | .002 | -.063 | -.055 | -.165 | .027 | .041 | -.015 | .755 | .641 | .830 |
47 | .400 | .401 | .235 | .342 | .399 | .298 | .184 | .212 | .311 | .069 | .117 | -.030 | .029 | -.047 | .060 | .576 | .470 | .669 |
3r | -.065 | -.048 | -.125 | -.132 | -.122 | -.131 | .438 | .563 | .340 | -.056 | -.189 | .030 | .239 | .231 | .256 | .716 | .607 | .774 |
8 | .439 | .341 | .310 | .134 | .173 | .076 | .333 | .316 | .552 | .179 | .280 | .029 | -.113 | -.173 | -.115 | .541 | .498 | .511 |
13r | .012 | -.024 | -.076 | -.118 | -.111 | -.135 | .574 | .560 | .486 | .106 | .094 | .164 | .090 | .026 | .182 | .601 | .638 | .630 |
18 | .390 | .467 | .189 | .044 | .084 | .024 | .257 | .362 | .368 | -.056 | -.104 | -.090 | .087 | .045 | .067 | .770 | .668 | .799 |
23 | .317 | .346 | .162 | .133 | .121 | .136 | .269 | .293 | .411 | -.109 | -.117 | -.162 | .057 | .080 | -.006 | .803 | .790 | .761 |
28r | -.239 | -.231 | -.370 | .247 | .153 | .340 | .431 | .568 | .401 | -.007 | -.033 | -.031 | .080 | .155 | .024 | .681 | .551 | .647 |
33 | .400 | .388 | .203 | .088 | .113 | .067 | .369 | .419 | .552 | .182 | .235 | .028 | -.042 | -.112 | -.018 | .566 | .454 | .582 |
38r | -.075 | -.129 | -.172 | -.139 | -.164 | -.136 | .651 | .669 | .534 | .088 | .106 | .134 | .132 | .123 | .168 | .484 | .430 | .598 |
43 | .377 | .372 | .237 | .231 | .304 | .151 | .333 | .354 | .496 | .082 | .051 | .016 | -.053 | -.050 | -.087 | .604 | .550 | .603 |
48r | -.187 | -.239 | -.331 | -.087 | -.134 | -.069 | .541 | .463 | .537 | .084 | .118 | .122 | -.016 | -.023 | .003 | .654 | .682 | .631 |
4 | .239 | .172 | .316 | .050 | .098 | -.007 | .053 | -.040 | .070 | .552 | .631 | .548 | -.095 | -.089 | -.104 | .554 | .478 | .547 |
9r | -.377 | -.320 | -.295 | -.044 | -.050 | .004 | .102 | .305 | -.064 | .531 | .345 | .624 | .009 | .110 | -.034 | .634 | .636 | .585 |
14 | .251 | .182 | .267 | .086 | .112 | .044 | .171 | .122 | .235 | .482 | .579 | .393 | -.109 | -.074 | -.150 | .555 | .458 | .627 |
19r | -.384 | -.416 | -.229 | -.028 | .006 | -.051 | .082 | .081 | -.003 | .506 | .383 | .616 | .003 | .090 | -.029 | .662 | .705 | .614 |
24r | -.353 | -.390 | -.210 | .106 | .086 | .136 | .022 | .022 | -.024 | .502 | .466 | .521 | .091 | .167 | .069 | .633 | .623 | .656 |
29 | .144 | .217 | .159 | -.031 | .007 | -.032 | -.134 | -.101 | -.005 | .603 | .569 | .537 | -.032 | .016 | -.083 | .618 | .586 | .689 |
34 | .237 | .252 | .298 | .047 | .034 | .076 | -.016 | -.013 | .081 | .575 | .558 | .499 | .023 | .104 | -.044 | .527 | .518 | .571 |
39 | .084 | .111 | .154 | .012 | .062 | -.003 | -.132 | -.079 | -.055 | .650 | .609 | .580 | -.071 | -.022 | -.111 | .583 | .576 | .654 |
44r | -.372 | -.411 | -.190 | -.024 | -.096 | .063 | -.028 | -.026 | -.134 | .497 | .514 | .514 | .205 | .254 | .203 | .612 | .566 | .639 |
49r | -.215 | -.352 | -.144 | -.203 | -.210 | -.206 | .317 | .273 | .226 | .352 | .470 | .303 | .161 | .076 | .272 | .637 | .552 | .681 |
5r | -.088 | -.040 | -.087 | .161 | .135 | .195 | .053 | .024 | .062 | .097 | .138 | .092 | .544 | .577 | .524 | .575 | .555 | .591 |
10 | .378 | .418 | .343 | -.027 | .012 | -.046 | -.114 | -.084 | -.011 | -.047 | .089 | -.183 | .662 | .606 | .656 | .494 | .500 | .511 |
15r | -.112 | -.059 | -.113 | .007 | -.011 | .028 | .035 | -.008 | .040 | -.182 | -.185 | -.115 | .672 | .707 | .636 | .538 | .484 | .587 |
20r | -.225 | -.124 | -.219 | .049 | .067 | .036 | -.181 | -.087 | -.242 | -.090 | -.045 | -.191 | .564 | .670 | .514 | .616 | .508 | .639 |
25 | .275 | .344 | .229 | -.007 | .017 | .004 | -.055 | .000 | .043 | .081 | .109 | .014 | .593 | .520 | .623 | .566 | .610 | .537 |
30r | -.129 | -.100 | -.151 | -.036 | -.074 | .012 | .261 | .278 | .151 | .007 | .006 | .075 | .579 | .555 | .632 | .517 | .547 | .484 |
35 | .386 | .469 | .348 | -.046 | .013 | -.069 | -.110 | -.047 | .024 | .139 | .189 | .006 | .560 | .513 | .577 | .521 | .484 | .555 |
40r | -.123 | -.169 | -.038 | .122 | .254 | .009 | -.001 | -.060 | -.024 | -.066 | -.048 | -.013 | .684 | .621 | .751 | .483 | .470 | .444 |
45r | -.162 | -.205 | .001 | .213 | .173 | .267 | -.035 | -.018 | -.159 | .177 | .224 | .190 | .458 | .451 | .491 | .613 | .607 | .583 |
50r | -.017 | -.019 | -.070 | -.091 | -.106 | -.065 | .392 | .431 | .258 | .022 | .047 | .075 | .551 | .452 | .653 | .464 | .539 | .408 |
The column “whole sample” presents the factor loadings of the M2b model, while the columns “English” and “Spanish” correspond to the factor loadings of the MG1 model of the Invariance between the English vs. Spanish versions. The fit indices of both models are presented in Table 2. Bold denotes all the significant factor loadings (the 99% CI does not cross zero). λ = factor loadings; δ = uniquenesses.