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NAPS - Preparing the Future Nursing Workforce
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SURVEY INSTRUMENT: | | Brief Symptom Inventory | | ( may require pressing Ctrl key while clicking to allow pop-ups)

REFERENCED STUDIES : Brief Symptom Inventory (BSI18). This 18item scale, a shorter version of the BSI53, measures three global indices of psychological distress; depression, anxiety, and somatization. Internal consistency reliability ranges from 0.74 to 0.89 on the subscales. Test-retest reliability over two weeks ranged from 0.68 to 0.91. There is high convergent validity of the subscales with the longer version. Norm data exists for the BSI18 and it can be completed in 4 minutes (Derogatis, 2001).

Brief Symptom Inventory Data Base:( may require pressing Ctrl key while clicking to allow pop-ups)

Brief Symptom Inventory : Statistical Results (DESCRIPTIVES, RELIABILITIES, FACTOR ANALYSIS) from on-line Survey of ~60 Senior I Nursing Students conducted on TWU Dallas Campus, October 6, 7 & 8 2006.

Descriptives

Descriptive Statistics

N Range Minimum Maximum Sum Mean Std. Deviation Variance Skewness Kurtosis
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Statistic Std. Error Statistic Std. Error
c_symptom1 62 3 0 3 26 .42 .091 .714 .510 1.969 .304 4.107 .599
d_symptom2 62 3 0 3 65 1.05 .114 .895 .801 .754 .304 .065 .599
e_symptoms3 61 4 0 4 92 1.51 .147 1.149 1.321 .388 .306 -.932 .604
f_symptoms4 59 4 0 4 26 .44 .114 .876 .768 2.653 .311 7.910 .613
g_symptoms5 62 4 0 4 69 1.11 .130 1.026 1.053 .897 .304 .540 .599
h_synptoms6 62 4 0 4 131 2.11 .151 1.189 1.413 .017 .304 -.911 .599
i_symptoms7 61 4 0 4 50 .82 .137 1.073 1.150 1.211 .306 .519 .604
j_symptoms8 61 4 0 4 61 1.00 .115 .894 .800 1.011 .306 1.334 .604
k_symptoms9 62 3 0 3 42 .68 .119 .937 .878 1.193 .304 .335 .599
l_symptoms10 61 4 0 4 27 .44 .106 .827 .684 2.290 .306 5.866 .604
m_symptoms11 62 4 0 4 35 .56 .123 .969 .938 1.880 .304 2.956 .599
n_symptoms12 41 3 0 3 29 .71 .149 .955 .912 1.178 .369 .346 .724
o_symptoms13 39 3 0 3 23 .59 .141 .880 .775 1.665 .378 2.312 .741
p_symptoms14 45 3 0 3 37 .82 .132 .886 .786 .980 .354 .403 .695
q_symptoms15 53 4 0 4 66 1.25 .159 1.159 1.343 .730 .327 -.405 .644
r_symptoms16 45 3 0 3 40 .89 .124 .832 .692 .711 .354 .070 .695
s_symptoms17 38 3 0 3 12 .32 .120 .739 .546 2.802 .383 7.974 .750
t_symptoms18 52 3 0 3 54 1.04 .113 .816 .665 .605 .330 .166 .650
Valid N (listwise) 27












Reliability

Notes
Output Created 05-JAN-2007 23:33:00
Comments
Input Data C:\sas
aps\Brief Symptom Inventory\survey4BriefSymptom Inventory1.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 62
Matrix Input
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the procedure.
Syntax RELIABILITY
/VARIABLES=c_symptom1 d_symptom2 e_symptoms3 f_symptoms4 g_symptoms5 h_synptoms6 i_symptoms7 j_symptoms8 k_symptoms9
l_symptoms10 m_symptoms11 n_symptoms12 o_symptoms13 p_symptoms14 q_symptoms15 r_symptoms16 s_symptoms17 t_symptoms18
/FORMAT=NOLABELS
/SCALE(ALPHA)=ALL/MODEL=ALPHA
/STATISTICS=DESCRIPTIVE SCALE CORR
/SUMMARY=MEANS VARIANCE CORR .
Resources Elapsed Time 0:00:00.02
Memory Available 524288 bytes
Largest Contiguous Area 524288 bytes
Workspace Required 4544 bytes

Warnings
The covariance matrix is calculated and used in the analysis.

Case Processing Summary


N %
Cases Valid 27 43.5
Excluded 35 56.5
Total 62 100.0

Reliability Statistics
Cronbach's Alpha Cronbach's Alpha Based on Standardized Items N of Items
.893 .898 18

Item Statistics

Mean Std. Deviation N
c_symptom1 .37 .565 27
d_symptom2 1.26 1.023 27
e_symptoms3 1.41 1.217 27
f_symptoms4 .67 1.144 27
g_symptoms5 1.04 .980 27
h_synptoms6 2.22 1.219 27
i_symptoms7 1.00 1.109 27
j_symptoms8 1.07 1.035 27
k_symptoms9 .59 .888 27
l_symptoms10 .56 .892 27
m_symptoms11 .48 .802 27
n_symptoms12 .48 .753 27
o_symptoms13 .44 .751 27
p_symptoms14 .56 .698 27
q_symptoms15 1.04 1.224 27
r_symptoms16 .78 .847 27
s_symptoms17 .19 .622 27
t_symptoms18 .96 .854 27

Inter-Item Correlation Matrix

c_symptom1 d_symptom2 e_symptoms3 f_symptoms4 g_symptoms5 h_synptoms6 i_symptoms7 j_symptoms8 k_symptoms9 l_symptoms10 m_symptoms11 n_symptoms12 o_symptoms13 p_symptoms14 q_symptoms15 r_symptoms16 s_symptoms17 t_symptoms18
c_symptom1 1.000 .094 .331 -.337 -.095 .267 -.061 .149 .082 .034 .101 .107 -.040 .141 .091 .259 -.093 .189
d_symptom2 .094 1.000 .684 .175 .758 .569 .271 .672 .248 .342 .264 .281 .245 .653 .115 .113 .405 .496
e_symptoms3 .331 .684 1.000 .129 .406 .688 .399 .555 .408 .457 .343 .533 .425 .402 .119 .203 .303 .496
f_symptoms4 -.337 .175 .129 1.000 .320 .028 .424 .054 -.063 .415 .224 .328 .537 .337 .119 .238 .522 .223
g_symptoms5 -.095 .758 .406 .320 1.000 .347 .212 .718 .062 .284 .221 .183 .395 .587 -.001 .010 .556 .461
h_synptoms6 .267 .569 .688 .028 .347 1.000 .540 .626 .158 .165 .083 .298 .182 .346 .329 .161 -.006 .525
i_symptoms7 -.061 .271 .399 .424 .212 .540 1.000 .368 .429 .272 .173 .322 .415 .149 .425 .286 .167 .609
j_symptoms8 .149 .672 .555 .054 .718 .626 .368 1.000 .285 .162 .372 .347 .154 .633 .180 .151 .336 .699
k_symptoms9 .082 .248 .408 -.063 .062 .158 .429 .285 1.000 .491 .394 .362 .282 .131 .191 .233 .281 .537
l_symptoms10 .034 .342 .457 .415 .284 .165 .272 .162 .491 1.000 .418 .560 .708 .412 .333 .526 .708 .382
m_symptoms11 .101 .264 .343 .224 .221 .083 .173 .372 .394 .418 1.000 .875 .397 .534 .451 .333 .508 .420
n_symptoms12 .107 .281 .533 .328 .183 .298 .322 .347 .362 .560 .875 1.000 .491 .496 .522 .355 .459 .447
o_symptoms13 -.040 .245 .425 .537 .395 .182 .415 .154 .282 .708 .397 .491 1.000 .245 .232 .282 .722 .326
p_symptoms14 .141 .653 .402 .337 .587 .346 .149 .633 .131 .412 .534 .496 .245 1.000 .290 .347 .462 .552
q_symptoms15 .091 .115 .119 .119 -.001 .329 .425 .180 .191 .333 .451 .522 .232 .290 1.000 .416 .092 .480
r_symptoms16 .259 .113 .203 .238 .010 .161 .286 .151 .233 .526 .333 .355 .282 .347 .416 1.000 .373 .413
s_symptoms17 -.093 .405 .303 .522 .556 -.006 .167 .336 .281 .708 .508 .459 .722 .462 .092 .373 1.000 .303
t_symptoms18 .189 .496 .496 .223 .461 .525 .609 .699 .537 .382 .420 .447 .326 .552 .480 .413 .303 1.000

Summary Item Statistics

Mean Minimum Maximum Range Maximum / Minimum Variance N of Items
Item Means .840 .185 2.222 2.037 12.000 .229 18
Item Variances .893 .319 1.499 1.179 4.696 .148 18
Inter-Item Correlations .328 -.337 .875 1.212 -2.592 .041 18

Scale Statistics
Mean Variance Std. Deviation N of Items
15.11 102.487 10.124 18 
 

Factor Analysis

Notes
Output Created 05-JAN-2007 23:36:05
Comments
Input Data C:\sas
aps\Brief Symptom Inventory\survey4BriefSymptom Inventory1.sav
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 62
Missing Value Handling Definition of Missing MISSING=EXCLUDE: User-defined missing values are treated as missing.
Cases Used MEAN SUBSTITUTION: For each variable used, missing values are replaced with the variable mean.
Syntax FACTOR
/VARIABLES c_symptom1 d_symptom2 e_symptoms3 f_symptoms4 g_symptoms5 h_synptoms6 i_symptoms7 j_symptoms8 k_symptoms9
l_symptoms10 m_symptoms11 n_symptoms12 o_symptoms13 p_symptoms14 q_symptoms15 r_symptoms16 s_symptoms17 t_symptoms18
/MISSING MEANSUB /ANALYSIS c_symptom1 d_symptom2 e_symptoms3 f_symptoms4 g_symptoms5 h_synptoms6 i_symptoms7 j_symptoms8
k_symptoms9 l_symptoms10 m_symptoms11 n_symptoms12 o_symptoms13 p_symptoms14 q_symptoms15 r_symptoms16 s_symptoms17
t_symptoms18
/PRINT UNIVARIATE INITIAL CORRELATION SIG DET KMO EXTRACTION ROTATION FSCORE
/PLOT EIGEN
/CRITERIA MINEIGEN(1) ITERATE(25)
/EXTRACTION PC
/CRITERIA ITERATE(25)
/ROTATION QUARTIMAX
/SAVE REG(ALL)
/METHOD=CORRELATION .
Resources Elapsed Time 0:00:00.16
Maximum Memory Required 42408 (41.414K) bytes
Variables Created FAC1_1 Component score 1
FAC2_1 Component score 2
FAC3_1 Component score 3
FAC4_1 Component score 4

Descriptive Statistics

Mean Std. Deviation Analysis N Missing N
c_symptom1 .42 .714 62 0
d_symptom2 1.05 .895 62 0
e_symptoms3 1.51 1.140 62 1
f_symptoms4 .44 .855 62 3
g_symptoms5 1.11 1.026 62 0
h_synptoms6 2.11 1.189 62 0
i_symptoms7 .82 1.064 62 1
j_symptoms8 1.00 .887 62 1
k_symptoms9 .68 .937 62 0
l_symptoms10 .44 .820 62 1
m_symptoms11 .56 .969 62 0
n_symptoms12 .71 .773 62 21
o_symptoms13 .59 .695 62 23
p_symptoms14 .82 .753 62 17
q_symptoms15 1.25 1.070 62 9
r_symptoms16 .89 .706 62 17
s_symptoms17 .32 .576 62 24
t_symptoms18 1.04 .746 62 10

Correlation Matrix


c_symptom1 d_symptom2 e_symptoms3 f_symptoms4 g_symptoms5 h_synptoms6 i_symptoms7 j_symptoms8 k_symptoms9 l_symptoms10 m_symptoms11 n_symptoms12 o_symptoms13 p_symptoms14 q_symptoms15 r_symptoms16 s_symptoms17 t_symptoms18
Correlation c_symptom1 1.000 .199 .217 -.027 -.021 .388 .231 .233 .328 .294 .268 .331 .236 .316 .147 .339 .304 .433
d_symptom2 .199 1.000 .426 .195 .512 .426 .167 .640 .273 .206 .403 .157 .091 .424 .043 .104 .291 .313
e_symptoms3 .217 .426 1.000 .159 .167 .640 .435 .365 .471 .474 .330 .501 .300 .299 .316 .266 .120 .411
f_symptoms4 -.027 .195 .159 1.000 .117 .174 .403 .053 .101 .442 .086 .247 .327 .071 .158 .243 .230 .184
g_symptoms5 -.021 .512 .167 .117 1.000 .204 .142 .666 .090 .067 .232 .039 .231 .330 .019 -.015 .262 .210
h_synptoms6 .388 .426 .640 .174 .204 1.000 .488 .497 .283 .308 .342 .343 .168 .371 .355 .217 .091 .493
i_symptoms7 .231 .167 .435 .403 .142 .488 1.000 .316 .355 .460 .116 .367 .398 .135 .496 .222 .090 .461
j_symptoms8 .233 .640 .365 .053 .666 .497 .316 1.000 .256 .103 .477 .181 .166 .533 .112 .116 .313 .542
k_symptoms9 .328 .273 .471 .101 .090 .283 .355 .256 1.000 .542 .385 .503 .405 .194 .297 .338 .195 .503
l_symptoms10 .294 .206 .474 .442 .067 .308 .460 .103 .542 1.000 .217 .587 .662 .201 .421 .556 .334 .455
m_symptoms11 .268 .403 .330 .086 .232 .342 .116 .477 .385 .217 1.000 .492 .234 .694 .232 .189 .405 .425
n_symptoms12 .331 .157 .501 .247 .039 .343 .367 .181 .503 .587 .492 1.000 .621 .521 .591 .465 .360 .540
o_symptoms13 .236 .091 .300 .327 .231 .168 .398 .166 .405 .662 .234 .621 1.000 .314 .325 .410 .493 .481
p_symptoms14 .316 .424 .299 .071 .330 .371 .135 .533 .194 .201 .694 .521 .314 1.000 .293 .272 .569 .585
q_symptoms15 .147 .043 .316 .158 .019 .355 .496 .112 .297 .421 .232 .591 .325 .293 1.000 .415 .116 .442
r_symptoms16 .339 .104 .266 .243 -.015 .217 .222 .116 .338 .556 .189 .465 .410 .272 .415 1.000 .282 .529
s_symptoms17 .304 .291 .120 .230 .262 .091 .090 .313 .195 .334 .405 .360 .493 .569 .116 .282 1.000 .381
t_symptoms18 .433 .313 .411 .184 .210 .493 .461 .542 .503 .455 .425 .540 .481 .585 .442 .529 .381 1.000
Sig. (1-tailed) c_symptom1
.061 .045 .417 .436 .001 .036 .034 .005 .010 .017 .004 .032 .006 .126 .003 .008 .000
d_symptom2 .061
.000 .064 .000 .000 .097 .000 .016 .054 .001 .111 .240 .000 .369 .211 .011 .007
e_symptoms3 .045 .000
.111 .099 .000 .000 .002 .000 .000 .005 .000 .009 .010 .007 .019 .179 .000
f_symptoms4 .417 .064 .111
.190 .093 .001 .346 .223 .000 .259 .030 .006 .296 .117 .032 .040 .082
g_symptoms5 .436 .000 .099 .190
.055 .136 .000 .244 .301 .035 .382 .035 .004 .441 .454 .020 .051
h_synptoms6 .001 .000 .000 .093 .055
.000 .000 .013 .007 .003 .003 .096 .002 .002 .045 .241 .000
i_symptoms7 .036 .097 .000 .001 .136 .000
.007 .003 .000 .186 .002 .001 .149 .000 .043 .244 .000
j_symptoms8 .034 .000 .002 .346 .000 .000 .007
.023 .216 .000 .081 .101 .000 .194 .186 .007 .000
k_symptoms9 .005 .016 .000 .223 .244 .013 .003 .023
.000 .001 .000 .001 .066 .009 .004 .064 .000
l_symptoms10 .010 .054 .000 .000 .301 .007 .000 .216 .000
.047 .000 .000 .061 .000 .000 .004 .000
m_symptoms11 .017 .001 .005 .259 .035 .003 .186 .000 .001 .047
.000 .033 .000 .035 .071 .001 .000
n_symptoms12 .004 .111 .000 .030 .382 .003 .002 .081 .000 .000 .000
.000 .000 .000 .001 .010 .000
o_symptoms13 .032 .240 .009 .006 .035 .096 .001 .101 .001 .000 .033 .000
.026 .022 .005 .001 .001
p_symptoms14 .006 .000 .010 .296 .004 .002 .149 .000 .066 .061 .000 .000 .026
.026 .035 .000 .000
q_symptoms15 .126 .369 .007 .117 .441 .002 .000 .194 .009 .000 .035 .000 .022 .026
.001 .203 .000
r_symptoms16 .003 .211 .019 .032 .454 .045 .043 .186 .004 .000 .071 .001 .005 .035 .001
.030 .000
s_symptoms17 .008 .011 .179 .040 .020 .241 .244 .007 .064 .004 .001 .010 .001 .000 .203 .030
.009
t_symptoms18 .000 .007 .000 .082 .051 .000 .000 .000 .000 .000 .000 .000 .001 .000 .000 .000 .009

KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .784
Bartlett's Test of Sphericity Approx. Chi-Square 290.404
df 153
Sig. .000

Communalities

Initial Extraction
c_symptom1 1.000 .446
d_symptom2 1.000 .665
e_symptoms3 1.000 .640
f_symptoms4 1.000 .638
g_symptoms5 1.000 .711
h_synptoms6 1.000 .736
i_symptoms7 1.000 .671
j_symptoms8 1.000 .819
k_symptoms9 1.000 .458
l_symptoms10 1.000 .755
m_symptoms11 1.000 .622
n_symptoms12 1.000 .724
o_symptoms13 1.000 .716
p_symptoms14 1.000 .772
q_symptoms15 1.000 .485
r_symptoms16 1.000 .507
s_symptoms17 1.000 .729
t_symptoms18 1.000 .666

Total Variance Explained
Component Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings
Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative %
1 6.546 36.369 36.369 6.546 36.369 36.369 5.632 31.290 31.290
2 2.331 12.949 49.318 2.331 12.949 49.318 3.103 17.240 48.531
3 1.533 8.519 57.836 1.533 8.519 57.836 1.541 8.562 57.093
4 1.348 7.488 65.324 1.348 7.488 65.324 1.482 8.232 65.324
5 .945 5.251 70.576





6 .874 4.857 75.433





7 .796 4.423 79.856





8 .678 3.768 83.624





9 .578 3.209 86.833





10 .459 2.552 89.384





11 .397 2.208 91.592





12 .310 1.723 93.315





13 .274 1.520 94.834





14 .265 1.474 96.308





15 .213 1.181 97.489





16 .181 1.007 98.496





17 .160 .890 99.385





18 .111 .615 100.000






Component Matrix

Component
1 2 3 4
c_symptom1 .491 -.029 -.146 -.427
d_symptom2 .521 .580 .186 .147
e_symptoms3 .657 .001 .432 -.149
f_symptoms4 .356 -.243 .141 .657
g_symptoms5 .356 .612 .082 .451
h_synptoms6 .637 .167 .489 -.252
i_symptoms7 .584 -.245 .497 .152
j_symptoms8 .595 .662 .153 .052
k_symptoms9 .626 -.185 .077 -.161
l_symptoms10 .693 -.470 .021 .231
m_symptoms11 .616 .338 -.286 -.215
n_symptoms12 .759 -.317 -.183 -.119
o_symptoms13 .648 -.332 -.253 .348
p_symptoms14 .671 .382 -.395 -.141
q_symptoms15 .554 -.371 .130 -.154
r_symptoms16 .565 -.384 -.196 -.049
s_symptoms17 .533 .147 -.596 .262
t_symptoms18 .801 .000 -.054 -.147

Rotated Component Matrix

Component
1 2 3 4
c_symptom1 .541 .082 .049 -.380
d_symptom2 .192 .789 -.061 .044
e_symptoms3 .598 .331 -.416 .018
f_symptoms4 .279 .107 .044 .739
g_symptoms5 -.026 .788 .114 .276
h_synptoms6 .530 .452 -.487 -.116
i_symptoms7 .569 .159 -.422 .379
j_symptoms8 .244 .868 -.044 -.070
k_symptoms9 .662 .098 -.097 -.024
l_symptoms10 .761 -.044 .044 .415
m_symptoms11 .465 .475 .278 -.321
n_symptoms12 .835 .012 .160 .003
o_symptoms13 .652 .035 .347 .411
p_symptoms14 .486 .535 .409 -.288
q_symptoms15 .670 -.083 -.165 .047
r_symptoms16 .676 -.119 .175 .070
s_symptoms17 .386 .323 .683 .095
t_symptoms18 .745 .317 .058 -.085

Component Transformation Matrix
Component 1 2 3 4
1 .890 .445 .057 .078
2 -.407 .857 .082 -.305
3 -.039 .158 -.957 .239
4 -.201 .205 .272 .919

Component Score Coefficient Matrix

Component
1 2 3 4
c_symptom1 .139 -.058 .008 -.304
d_symptom2 -.057 .290 -.062 .060
e_symptoms3 .100 .067 -.294 -.026
f_symptoms4 -.011 .049 .039 .506
g_symptoms5 -.128 .326 .064 .245
h_synptoms6 .083 .117 -.345 -.110
i_symptoms7 .087 .024 -.283 .220
j_symptoms8 -.046 .308 -.057 -.020
k_symptoms9 .139 -.042 -.082 -.066
l_symptoms10 .141 -.089 .023 .230
m_symptoms11 .064 .104 .153 -.228
n_symptoms12 .181 -.102 .086 -.059
o_symptoms13 .101 -.051 .222 .249
p_symptoms14 .056 .124 .237 -.200
q_symptoms15 .160 -.109 -.120 -.029
r_symptoms16 .156 -.131 .104 -.007
s_symptoms17 .023 .069 .434 .072
t_symptoms18 .132 .026 .011 -.099

Component Score Covariance Matrix
Component 1 2 3 4
1 1.000 .000 .000 .000
2 .000 1.000 .000 .000
3 .000 .000 1.000 .000
4 .000 .000 .000 1.000

 






 

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