Correlations

Notes
Output Created 03-JAN-2006 15:50:11
Comments
Input Data C:\temp\2005\survey\restructured_survey_and_learning.txt
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 327
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS
/VARIABLES=traditional_slope traditional_intercept sw_slope sw_intercept mcas_score scaled_answer.1 scaled_answer.2
scaled_answer.3 scaled_answer.4 scaled_answer.5 scaled_answer.6 scaled_answer.7 scaled_answer.8 scaled_answer.9
scaled_answer.10 scaled_answer.11 scaled_answer.12 scaled_answer.13 scaled_answer.14 scaled_answer.15 scaled_answer.16
scaled_answer.17 scaled_answer.18 scaled_answer.19 scaled_answer.20 scaled_answer.21 scaled_answer.22 scaled_answer.23
scaled_answer.24 scaled_answer.25 scaled_answer.26 scaled_answer.27 scaled_answer.28 scaled_answer.29 scaled_answer.30
scaled_answer.31 scaled_answer.32
/PRINT=TWOTAIL NOSIG
/MISSING=PAIRWISE .
Resources Elapsed Time 0:00:00.48


Survey Questions
ID QUESTION_TEXT
1 When a problem was too hard I would just try to get though a problem so that I could get into items that I could do. (over 65% agreed with this)
2 I tried to get through difficult problems as quickly as possible.    Negative with Learning and MCAS
3 I think that being told the answer was more helpful than reading the hints.  NEGATIVE WITH INTERCEPT    over 40% agree with this
4 I found it hard to stay concentrated on the computer all the time.   Over 40% agreed
5 I took my work on the Assistment system very seriously and worked hard all the time.
6 My goal when using the Assistment system was to get through as many items as possible. NEGATIVE WITH MCAS
7 My goal when using the Assistment system was to learn new things.  NEGATIVE WITH MCAS .  NEGATIVE WITH INTERCEPT
8 I find it easier to learn concepts rather than facts. postive with trasdtion learning
9 I prefer classes that emphasize facts and data over concepts and ideas.   NEGATIVE WITH MCAS .  NEGATIVE WITH INTERCEPT
10 I am careful about the details of my work.
11 I am creative in the way that I do my work.
12 I think that some people are just good at math.     
13 I like math class.  Postive with Interpcept
14 I am good at math.   POSTIVE WITH MCAS        Postive with Interpcept
15 I work hard at math.POSTIVE WITH MCAS        Postive with Interpcept
16 I do my homework in math class. POSTIVE WITH MCAS             Postive with Interpcept
17 I believe that if I work hard at math I can do well.   [Over 90% agreeed with statement]
18 When I grow up I think I will use math in my job.     Positive with Learning
19 I always used scrap paper instead of trying to do math in my head.  NEGATIVE WITH MCAS  .  NEGATIVE WITH INTERCEPT
20 Breaking a question down into smaller steps helped me understand how to solve similar problems.   NEGATIVE WITH MCAS
21 I think the hints helped me understand how to solve similar problems.  NEGATIVE WITH MCAS
22 I care a great deal about how well I do in math.
23 I usually seek help when I don't understand something.
24 My parents think it's very important to do well in math.
25 I found many of the items frustrating because they were too hard.   NEGATIVE WITH MCAS  .  NEGATIVE WITH INTERCEPT over 50% agree with statement
26 I like learning from a computer.  (over 70% agree)  for those who don't? Like Ryan students?
27 I think the Assistment system helped me prepare for the MCAS. Over 60% in favor and less than 20% disgreeeinsng/over 3 to one in favor
28 I liked using the Assistment system better than doing my homework.
29 I liked using the Assistment system better than doing a test.  Enomusly in favor of this which I gues is surprisng given its a test but it was not graded?
30 I liked using the Assistment system better than my normal classroom activity.  POSTIVE WITH MCAS
31 Do you have a computer at home?  POSTIVE WITH MCAS    Postive with Interpcept
32 Now assume you had internet access at home and that your teacher made it possible for you to do your homework either on paper or using the Assistment system. How much would you prefer to use the Assistment system?

Correlations


traditional_slope traditional_intercept sw_slope sw_intercept mcas_score scaled_answer.1 scaled_answer.2 scaled_answer.3 scaled_answer.4 scaled_answer.5 scaled_answer.6 scaled_answer.7 scaled_answer.8 scaled_answer.9 scaled_answer.10 scaled_answer.11 scaled_answer.12 scaled_answer.13 scaled_answer.14 scaled_answer.15 scaled_answer.16 scaled_answer.17 scaled_answer.18 scaled_answer.19 scaled_answer.20 scaled_answer.21 scaled_answer.22 scaled_answer.23 scaled_answer.24 scaled_answer.25 scaled_answer.26 scaled_answer.27 scaled_answer.28 scaled_answer.29 scaled_answer.30 scaled_answer.31 scaled_answer.32
traditional_slope Pearson Correlation 1 -.695(**) .294(**) .048 .080 -.040 -.020 -.113(*) .010 .020 .042 .004 .115(*) -.014 -.031 .040 .004 .005 .031 .043 -.058 .001 .027 .079 .023 -.011 .042 .042 -.010 -.019 .005 .058 -.008 .014 .019 .039 .019
Sig. (2-tailed)
.000 .000 .385 .147 .469 .713 .042 .853 .715 .447 .937 .039 .804 .575 .471 .947 .935 .575 .436 .300 .979 .633 .156 .683 .838 .448 .452 .862 .730 .934 .298 .892 .805 .735 .485 .737
N 326 326 324 324 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 325 326 326 326 326 326 326 326
traditional_intercept Pearson Correlation -.695(**) 1 -.237(**) .508(**) .385(**) -.011 -.094 .000 -.006 -.022 -.114(*) -.106 -.085 -.125(*) .058 -.061 -.009 .121(*) .184(**) .079 .160(**) .013 -.038 -.163(**) -.072 -.066 .029 -.046 -.046 -.190(**) -.039 -.020 .040 .000 .059 .069 .006
Sig. (2-tailed) .000
.000 .000 .000 .843 .091 .993 .907 .695 .040 .057 .126 .025 .298 .271 .873 .029 .001 .155 .004 .810 .494 .003 .196 .232 .608 .410 .412 .001 .479 .716 .468 .996 .290 .211 .912
N 326 326 324 324 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 325 326 326 326 326 326 326 326
sw_slope Pearson Correlation .294(**) -.237(**) 1 -.209(**) .084 -.037 -.122(*) -.086 .051 -.012 -.038 .070 -.042 .018 -.048 -.050 -.078 -.034 -.059 .022 -.023 -.107 .131(*) .089 .011 -.060 .036 .048 .026 .005 -.059 .076 -.034 -.068 -.031 .089 .077
Sig. (2-tailed) .000 .000
.000 .129 .503 .029 .120 .358 .824 .498 .211 .448 .745 .392 .368 .163 .539 .289 .692 .681 .055 .018 .111 .850 .282 .520 .385 .636 .933 .289 .173 .545 .221 .574 .111 .164
N 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 323 324 324 324 324 324 324 324
sw_intercept Pearson Correlation .048 .508(**) -.209(**) 1 .661(**) -.053 -.088 -.118(*) -.014 -.010 -.103 -.176(**) .010 -.170(**) .062 .003 .005 .122(*) .349(**) .150(**) .213(**) .047 -.073 -.197(**) -.062 -.087 .077 .033 -.063 -.348(**) -.046 -.022 .080 .000 .082 .224(**) -.018
Sig. (2-tailed) .385 .000 .000
.000 .343 .112 .033 .804 .861 .063 .002 .851 .002 .268 .962 .923 .028 .000 .007 .000 .398 .193 .000 .265 .118 .169 .558 .260 .000 .413 .690 .150 1.000 .140 .000 .741
N 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 324 323 324 324 324 324 324 324 324
mcas_score Pearson Correlation .080 .385(**) .084 .661(**) 1 .016 -.121(*) -.098 -.005 -.039 -.123(*) -.172(**) -.035 -.119(*) .050 -.033 .007 .055 .371(**) .132(*) .242(**) .037 -.015 -.192(**) -.154(**) -.154(**) .087 .058 -.021 -.325(**) -.082 .006 .060 -.049 .133(*) .204(**) .054
Sig. (2-tailed) .147 .000 .129 .000
.776 .029 .078 .923 .480 .026 .002 .530 .031 .363 .555 .897 .322 .000 .017 .000 .505 .792 .000 .005 .005 .117 .299 .706 .000 .139 .908 .278 .382 .016 .000 .333
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.1 Pearson Correlation -.040 -.011 -.037 -.053 .016 1 .159(**) .092 -.155(**) .299(**) .204(**) .145(**) .091 .074 .255(**) .198(**) .126(*) .130(*) .164(**) .180(**) .115(*) .062 .111(*) .110(*) .170(**) .162(**) .193(**) .213(**) .037 .069 .131(*) .186(**) .133(*) .040 .041 -.107 .167(**)
Sig. (2-tailed) .469 .843 .503 .343 .776
.004 .097 .005 .000 .000 .009 .101 .181 .000 .000 .023 .018 .003 .001 .038 .265 .044 .046 .002 .003 .000 .000 .505 .212 .017 .001 .016 .470 .456 .054 .003
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.2 Pearson Correlation -.020 -.094 -.122(*) -.088 -.121(*) .159(**) 1 .298(**) .128(*) -.153(**) .223(**) -.096 .154(**) .135(*) -.136(*) -.032 .178(**) -.147(**) -.118(*) -.127(*) -.126(*) -.059 -.083 -.153(**) -.051 -.038 -.116(*) -.054 -.039 .204(**) .088 -.046 .011 .043 .018 -.151(**) -.042
Sig. (2-tailed) .713 .091 .029 .112 .029 .004
.000 .021 .006 .000 .082 .005 .015 .014 .570 .001 .008 .033 .021 .023 .286 .135 .006 .360 .497 .035 .329 .483 .000 .113 .407 .838 .436 .747 .006 .445
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.3 Pearson Correlation -.113(*) .000 -.086 -.118(*) -.098 .092 .298(**) 1 .209(**) -.153(**) -.007 -.185(**) .059 .071 -.107 -.093 .121(*) -.129(*) -.150(**) -.212(**) -.131(*) -.162(**) -.125(*) -.095 -.226(**) -.198(**) -.247(**) -.138(*) -.099 .211(**) -.043 -.211(**) .068 -.028 -.083 -.066 -.100
Sig. (2-tailed) .042 .993 .120 .033 .078 .097 .000
.000 .006 .905 .001 .291 .201 .054 .094 .029 .019 .006 .000 .018 .003 .024 .086 .000 .000 .000 .013 .075 .000 .442 .000 .218 .615 .134 .231 .072
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.4 Pearson Correlation .010 -.006 .051 -.014 -.005 -.155(**) .128(*) .209(**) 1 -.319(**) -.110(*) -.159(**) .057 .089 -.229(**) -.146(**) .023 -.170(**) -.129(*) -.195(**) -.052 -.146(**) -.104 -.036 -.148(**) -.160(**) -.170(**) -.110(*) -.099 .188(**) -.277(**) -.217(**) -.164(**) -.183(**) -.210(**) -.044 -.262(**)
Sig. (2-tailed) .853 .907 .358 .804 .923 .005 .021 .000
.000 .047 .004 .305 .110 .000 .008 .677 .002 .020 .000 .346 .008 .060 .518 .007 .004 .002 .046 .073 .001 .000 .000 .003 .001 .000 .424 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.5 Pearson Correlation .020 -.022 -.012 -.010 -.039 .299(**) -.153(**) -.153(**) -.319(**) 1 .298(**) .520(**) .137(*) .116(*) .485(**) .277(**) .064 .333(**) .297(**) .477(**) .316(**) .325(**) .243(**) .197(**) .368(**) .292(**) .450(**) .271(**) .272(**) -.073 .279(**) .438(**) .191(**) .131(*) .076 -.010 .250(**)
Sig. (2-tailed) .715 .695 .824 .861 .480 .000 .006 .006 .000
.000 .000 .013 .035 .000 .000 .246 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .188 .000 .000 .001 .017 .173 .860 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.6 Pearson Correlation .042 -.114(*) -.038 -.103 -.123(*) .204(**) .223(**) -.007 -.110(*) .298(**) 1 .301(**) .116(*) .153(**) .226(**) .163(**) .163(**) .170(**) .061 .238(**) .157(**) .260(**) .150(**) .095 .186(**) .171(**) .270(**) .211(**) .103 .088 .118(*) .132(*) .058 .115(*) .091 -.097 .071
Sig. (2-tailed) .447 .040 .498 .063 .026 .000 .000 .905 .047 .000
.000 .037 .006 .000 .003 .003 .002 .272 .000 .004 .000 .007 .087 .001 .002 .000 .000 .064 .113 .033 .017 .293 .037 .102 .079 .203
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.7 Pearson Correlation .004 -.106 .070 -.176(**) -.172(**) .145(**) -.096 -.185(**) -.159(**) .520(**) .301(**) 1 .191(**) .166(**) .392(**) .163(**) .005 .275(**) .111(*) .384(**) .166(**) .307(**) .215(**) .309(**) .356(**) .368(**) .368(**) .248(**) .233(**) -.031 .252(**) .463(**) .148(**) .207(**) .117(*) -.087 .218(**)
Sig. (2-tailed) .937 .057 .211 .002 .002 .009 .082 .001 .004 .000 .000
.001 .003 .000 .003 .923 .000 .045 .000 .003 .000 .000 .000 .000 .000 .000 .000 .000 .581 .000 .000 .007 .000 .034 .115 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.8 Pearson Correlation .115(*) -.085 -.042 .010 -.035 .091 .154(**) .059 .057 .137(*) .116(*) .191(**) 1 -.002 .118(*) .095 .109(*) .039 -.053 .068 .080 .110(*) -.117(*) .204(**) .142(*) .179(**) .023 .176(**) .055 .140(*) .141(*) .133(*) .120(*) .129(*) .134(*) -.081 .050
Sig. (2-tailed) .039 .126 .448 .851 .530 .101 .005 .291 .305 .013 .037 .001
.973 .032 .086 .049 .477 .339 .217 .151 .046 .034 .000 .010 .001 .682 .001 .319 .011 .010 .016 .030 .019 .015 .146 .368
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.9 Pearson Correlation -.014 -.125(*) .018 -.170(**) -.119(*) .074 .135(*) .071 .089 .116(*) .153(**) .166(**) -.002 1 .105 .116(*) .155(**) .097 -.009 .040 .034 .108 .085 .100 .047 .069 .058 .027 -.007 .096 .136(*) .153(**) .074 .029 .021 .006 .064
Sig. (2-tailed) .804 .025 .745 .002 .031 .181 .015 .201 .110 .035 .006 .003 .973
.057 .035 .005 .081 .865 .475 .534 .052 .126 .071 .402 .213 .294 .626 .900 .084 .014 .005 .180 .602 .706 .913 .251
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.10 Pearson Correlation -.031 .058 -.048 .062 .050 .255(**) -.136(*) -.107 -.229(**) .485(**) .226(**) .392(**) .118(*) .105 1 .425(**) .116(*) .261(**) .270(**) .486(**) .335(**) .301(**) .139(*) .230(**) .312(**) .254(**) .436(**) .300(**) .236(**) -.110(*) .181(**) .326(**) .104 .088 .083 .032 .159(**)
Sig. (2-tailed) .575 .298 .392 .268 .363 .000 .014 .054 .000 .000 .000 .000 .032 .057
.000 .037 .000 .000 .000 .000 .000 .012 .000 .000 .000 .000 .000 .000 .047 .001 .000 .059 .111 .136 .565 .004
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.11 Pearson Correlation .040 -.061 -.050 .003 -.033 .198(**) -.032 -.093 -.146(**) .277(**) .163(**) .163(**) .095 .116(*) .425(**) 1 .028 .199(**) .191(**) .206(**) .162(**) .199(**) .054 .079 .120(*) .053 .213(**) .135(*) .109(*) -.128(*) .147(**) .119(*) .074 .005 -.016 .006 .091
Sig. (2-tailed) .471 .271 .368 .962 .555 .000 .570 .094 .008 .000 .003 .003 .086 .035 .000
.616 .000 .001 .000 .003 .000 .330 .152 .030 .337 .000 .015 .050 .021 .008 .031 .180 .926 .777 .913 .100
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.12 Pearson Correlation .004 -.009 -.078 .005 .007 .126(*) .178(**) .121(*) .023 .064 .163(**) .005 .109(*) .155(**) .116(*) .028 1 -.038 -.024 .088 .081 .049 -.116(*) .062 .101 .144(**) .051 .068 .048 .052 .113(*) .088 .109(*) .144(**) .056 .047 .072
Sig. (2-tailed) .947 .873 .163 .923 .897 .023 .001 .029 .677 .246 .003 .923 .049 .005 .037 .616
.497 .661 .113 .143 .379 .035 .264 .067 .009 .356 .217 .384 .351 .042 .114 .050 .009 .309 .401 .194
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.13 Pearson Correlation .005 .121(*) -.034 .122(*) .055 .130(*) -.147(**) -.129(*) -.170(**) .333(**) .170(**) .275(**) .039 .097 .261(**) .199(**) -.038 1 .486(**) .470(**) .204(**) .379(**) .312(**) .013 .115(*) .109(*) .410(**) .191(**) .007 -.155(**) .108 .264(**) .031 -.056 -.088 .080 .111(*)
Sig. (2-tailed) .935 .029 .539 .028 .322 .018 .008 .019 .002 .000 .002 .000 .477 .081 .000 .000 .497
.000 .000 .000 .000 .000 .812 .038 .048 .000 .001 .895 .005 .051 .000 .573 .311 .114 .149 .045
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.14 Pearson Correlation .031 .184(**) -.059 .349(**) .371(**) .164(**) -.118(*) -.150(**) -.129(*) .297(**) .061 .111(*) -.053 -.009 .270(**) .191(**) -.024 .486(**) 1 .373(**) .234(**) .336(**) .180(**) -.207(**) .007 -.065 .297(**) .085 .020 -.386(**) .034 .106 .006 -.082 -.040 .125(*) .019
Sig. (2-tailed) .575 .001 .289 .000 .000 .003 .033 .006 .020 .000 .272 .045 .339 .865 .000 .001 .661 .000
.000 .000 .000 .001 .000 .895 .243 .000 .127 .725 .000 .535 .056 .915 .140 .468 .023 .729
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.15 Pearson Correlation .043 .079 .022 .150(**) .132(*) .180(**) -.127(*) -.212(**) -.195(**) .477(**) .238(**) .384(**) .068 .040 .486(**) .206(**) .088 .470(**) .373(**) 1 .451(**) .402(**) .200(**) .156(**) .319(**) .228(**) .551(**) .374(**) .213(**) -.081 .100 .343(**) .029 .004 .073 .034 .054
Sig. (2-tailed) .436 .155 .692 .007 .017 .001 .021 .000 .000 .000 .000 .000 .217 .475 .000 .000 .113 .000 .000
.000 .000 .000 .005 .000 .000 .000 .000 .000 .143 .072 .000 .598 .938 .190 .544 .328
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.16 Pearson Correlation -.058 .160(**) -.023 .213(**) .242(**) .115(*) -.126(*) -.131(*) -.052 .316(**) .157(**) .166(**) .080 .034 .335(**) .162(**) .081 .204(**) .234(**) .451(**) 1 .181(**) .150(**) .166(**) .119(*) .043 .386(**) .270(**) .178(**) -.014 .026 .187(**) -.079 -.012 .028 .024 .001
Sig. (2-tailed) .300 .004 .681 .000 .000 .038 .023 .018 .346 .000 .004 .003 .151 .534 .000 .003 .143 .000 .000 .000
.001 .007 .003 .031 .440 .000 .000 .001 .807 .635 .001 .156 .827 .611 .662 .981
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.17 Pearson Correlation .001 .013 -.107 .047 .037 .062 -.059 -.162(**) -.146(**) .325(**) .260(**) .307(**) .110(*) .108 .301(**) .199(**) .049 .379(**) .336(**) .402(**) .181(**) 1 .258(**) .067 .246(**) .204(**) .355(**) .222(**) .306(**) -.098 .096 .211(**) .000 .025 -.001 -.063 .086
Sig. (2-tailed) .979 .810 .055 .398 .505 .265 .286 .003 .008 .000 .000 .000 .046 .052 .000 .000 .379 .000 .000 .000 .001
.000 .226 .000 .000 .000 .000 .000 .076 .083 .000 .999 .647 .986 .254 .119
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.18 Pearson Correlation .027 -.038 .131(*) -.073 -.015 .111(*) -.083 -.125(*) -.104 .243(**) .150(**) .215(**) -.117(*) .085 .139(*) .054 -.116(*) .312(**) .180(**) .200(**) .150(**) .258(**) 1 .060 .140(*) .122(*) .343(**) .179(**) .153(**) .035 .076 .179(**) -.033 -.040 -.073 -.049 .141(*)
Sig. (2-tailed) .633 .494 .018 .193 .792 .044 .135 .024 .060 .000 .007 .000 .034 .126 .012 .330 .035 .000 .001 .000 .007 .000
.282 .011 .027 .000 .001 .006 .531 .173 .001 .550 .467 .190 .378 .011
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.19 Pearson Correlation .079 -.163(**) .089 -.197(**) -.192(**) .110(*) -.153(**) -.095 -.036 .197(**) .095 .309(**) .204(**) .100 .230(**) .079 .062 .013 -.207(**) .156(**) .166(**) .067 .060 1 .360(**) .292(**) .121(*) .262(**) .095 .182(**) .049 .242(**) -.007 .065 .041 -.125(*) .150(**)
Sig. (2-tailed) .156 .003 .111 .000 .000 .046 .006 .086 .518 .000 .087 .000 .000 .071 .000 .152 .264 .812 .000 .005 .003 .226 .282
.000 .000 .029 .000 .088 .001 .375 .000 .903 .239 .465 .024 .007
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.20 Pearson Correlation .023 -.072 .011 -.062 -.154(**) .170(**) -.051 -.226(**) -.148(**) .368(**) .186(**) .356(**) .142(*) .047 .312(**) .120(*) .101 .115(*) .007 .319(**) .119(*) .246(**) .140(*) .360(**) 1 .510(**) .300(**) .289(**) .219(**) .136(*) .228(**) .385(**) .128(*) .141(*) .074 -.023 .308(**)
Sig. (2-tailed) .683 .196 .850 .265 .005 .002 .360 .000 .007 .000 .001 .000 .010 .402 .000 .030 .067 .038 .895 .000 .031 .000 .011 .000
.000 .000 .000 .000 .014 .000 .000 .021 .011 .184 .675 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.21 Pearson Correlation -.011 -.066 -.060 -.087 -.154(**) .162(**) -.038 -.198(**) -.160(**) .292(**) .171(**) .368(**) .179(**) .069 .254(**) .053 .144(**) .109(*) -.065 .228(**) .043 .204(**) .122(*) .292(**) .510(**) 1 .252(**) .204(**) .149(**) .029 .286(**) .377(**) .259(**) .270(**) .233(**) .010 .266(**)
Sig. (2-tailed) .838 .232 .282 .118 .005 .003 .497 .000 .004 .000 .002 .000 .001 .213 .000 .337 .009 .048 .243 .000 .440 .000 .027 .000 .000
.000 .000 .007 .598 .000 .000 .000 .000 .000 .857 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.22 Pearson Correlation .042 .029 .036 .077 .087 .193(**) -.116(*) -.247(**) -.170(**) .450(**) .270(**) .368(**) .023 .058 .436(**) .213(**) .051 .410(**) .297(**) .551(**) .386(**) .355(**) .343(**) .121(*) .300(**) .252(**) 1 .339(**) .358(**) -.074 .109(*) .332(**) .007 .017 .000 -.015 .130(*)
Sig. (2-tailed) .448 .608 .520 .169 .117 .000 .035 .000 .002 .000 .000 .000 .682 .294 .000 .000 .356 .000 .000 .000 .000 .000 .000 .029 .000 .000
.000 .000 .186 .050 .000 .901 .760 .993 .785 .019
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.23 Pearson Correlation .042 -.046 .048 .033 .058 .213(**) -.054 -.138(*) -.110(*) .271(**) .211(**) .248(**) .176(**) .027 .300(**) .135(*) .068 .191(**) .085 .374(**) .270(**) .222(**) .179(**) .262(**) .289(**) .204(**) .339(**) 1 .308(**) .082 .132(*) .248(**) .033 .006 .034 -.030 .085
Sig. (2-tailed) .452 .410 .385 .558 .299 .000 .329 .013 .046 .000 .000 .000 .001 .626 .000 .015 .217 .001 .127 .000 .000 .000 .001 .000 .000 .000 .000
.000 .140 .017 .000 .551 .908 .545 .589 .127
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.24 Pearson Correlation -.010 -.046 .026 -.063 -.021 .037 -.039 -.099 -.099 .272(**) .103 .233(**) .055 -.007 .236(**) .109(*) .048 .007 .020 .213(**) .178(**) .306(**) .153(**) .095 .219(**) .149(**) .358(**) .308(**) 1 .054 .147(**) .188(**) -.029 .081 .005 -.036 .104
Sig. (2-tailed) .862 .412 .636 .260 .706 .505 .483 .075 .073 .000 .064 .000 .319 .900 .000 .050 .384 .895 .725 .000 .001 .000 .006 .088 .000 .007 .000 .000
.335 .008 .001 .606 .145 .931 .514 .061
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.25 Pearson Correlation -.019 -.190(**) .005 -.348(**) -.325(**) .069 .204(**) .211(**) .188(**) -.073 .088 -.031 .140(*) .096 -.110(*) -.128(*) .052 -.155(**) -.386(**) -.081 -.014 -.098 .035 .182(**) .136(*) .029 -.074 .082 .054 1 .080 .060 -.023 .050 .027 -.151(**) -.036
Sig. (2-tailed) .730 .001 .933 .000 .000 .212 .000 .000 .001 .188 .113 .581 .011 .084 .047 .021 .351 .005 .000 .143 .807 .076 .531 .001 .014 .598 .186 .140 .335
.149 .284 .680 .366 .630 .006 .516
N 325 325 323 323 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326 326
scaled_answer.26 Pearson Correlation .005 -.039 -.059 -.046 -.082 .131(*) .088 -.043 -.277(**) .279(**) .118(*) .252(**) .141(*) .136(*) .181(**) .147(**) .113(*) .108 .034 .100 .026 .096 .076 .049 .228(**) .286(**) .109(*) .132(*) .147(**) .080 1 .399(**) .360(**) .365(**) .297(**) -.023 .302(**)
Sig. (2-tailed) .934 .479 .289 .413 .139 .017 .113 .442 .000 .000 .033 .000 .010 .014 .001 .008 .042 .051 .535 .072 .635 .083 .173 .375 .000 .000 .050 .017 .008 .149
.000 .000 .000 .000 .674 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.27 Pearson Correlation .058 -.020 .076 -.022 .006 .186(**) -.046 -.211(**) -.217(**) .438(**) .132(*) .463(**) .133(*) .153(**) .326(**) .119(*) .088 .264(**) .106 .343(**) .187(**) .211(**) .179(**) .242(**) .385(**) .377(**) .332(**) .248(**) .188(**) .060 .399(**) 1 .268(**) .320(**) .283(**) -.036 .390(**)
Sig. (2-tailed) .298 .716 .173 .690 .908 .001 .407 .000 .000 .000 .017 .000 .016 .005 .000 .031 .114 .000 .056 .000 .001 .000 .001 .000 .000 .000 .000 .000 .001 .284 .000
.000 .000 .000 .513 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.28 Pearson Correlation -.008 .040 -.034 .080 .060 .133(*) .011 .068 -.164(**) .191(**) .058 .148(**) .120(*) .074 .104 .074 .109(*) .031 .006 .029 -.079 .000 -.033 -.007 .128(*) .259(**) .007 .033 -.029 -.023 .360(**) .268(**) 1 .565(**) .586(**) .092 .388(**)
Sig. (2-tailed) .892 .468 .545 .150 .278 .016 .838 .218 .003 .001 .293 .007 .030 .180 .059 .180 .050 .573 .915 .598 .156 .999 .550 .903 .021 .000 .901 .551 .606 .680 .000 .000
.000 .000 .096 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.29 Pearson Correlation .014 .000 -.068 .000 -.049 .040 .043 -.028 -.183(**) .131(*) .115(*) .207(**) .129(*) .029 .088 .005 .144(**) -.056 -.082 .004 -.012 .025 -.040 .065 .141(*) .270(**) .017 .006 .081 .050 .365(**) .320(**) .565(**) 1 .560(**) .036 .339(**)
Sig. (2-tailed) .805 .996 .221 1.000 .382 .470 .436 .615 .001 .017 .037 .000 .019 .602 .111 .926 .009 .311 .140 .938 .827 .647 .467 .239 .011 .000 .760 .908 .145 .366 .000 .000 .000
.000 .522 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.30 Pearson Correlation .019 .059 -.031 .082 .133(*) .041 .018 -.083 -.210(**) .076 .091 .117(*) .134(*) .021 .083 -.016 .056 -.088 -.040 .073 .028 -.001 -.073 .041 .074 .233(**) .000 .034 .005 .027 .297(**) .283(**) .586(**) .560(**) 1 .081 .345(**)
Sig. (2-tailed) .735 .290 .574 .140 .016 .456 .747 .134 .000 .173 .102 .034 .015 .706 .136 .777 .309 .114 .468 .190 .611 .986 .190 .465 .184 .000 .993 .545 .931 .630 .000 .000 .000 .000
.142 .000
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.31 Pearson Correlation .039 .069 .089 .224(**) .204(**) -.107 -.151(**) -.066 -.044 -.010 -.097 -.087 -.081 .006 .032 .006 .047 .080 .125(*) .034 .024 -.063 -.049 -.125(*) -.023 .010 -.015 -.030 -.036 -.151(**) -.023 -.036 .092 .036 .081 1 .081
Sig. (2-tailed) .485 .211 .111 .000 .000 .054 .006 .231 .424 .860 .079 .115 .146 .913 .565 .913 .401 .149 .023 .544 .662 .254 .378 .024 .675 .857 .785 .589 .514 .006 .674 .513 .096 .522 .142
.144
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
scaled_answer.32 Pearson Correlation .019 .006 .077 -.018 .054 .167(**) -.042 -.100 -.262(**) .250(**) .071 .218(**) .050 .064 .159(**) .091 .072 .111(*) .019 .054 .001 .086 .141(*) .150(**) .308(**) .266(**) .130(*) .085 .104 -.036 .302(**) .390(**) .388(**) .339(**) .345(**) .081 1
Sig. (2-tailed) .737 .912 .164 .741 .333 .003 .445 .072 .000 .000 .203 .000 .368 .251 .004 .100 .194 .045 .729 .328 .981 .119 .011 .007 .000 .000 .019 .127 .061 .516 .000 .000 .000 .000 .000 .144
N 326 326 324 324 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 327 326 327 327 327 327 327 327 327
** Correlation is significant at the 0.01 level (2-tailed).
* Correlation is significant at the 0.05 level (2-tailed).