STA301F95 Final Printout

This printout contains sections of an SPSS list file, Sections A through G.
	Section A starts on page 1.
	Section B starts on page 2.
	Section C starts on page 3.
	Section D starts on page 3.
	Section E starts on page 4.
	Section F starts on page 6.
	Section G starts on page 8.

Section A:  Variable labels, value labels & recode.

   5  DATA LIST FILE='/res/jbrunner/public/301/senic.dat' FREE
   6           / ID STAY AGE INFRISK CULRATIO XRATIO NBEDS MEDSCHL
   7             REGION CENSUS NURSES SERVICE.
   8  MISSING VALUES  STAY,AGE CULRATIO,XRATIO (9999) INFRISK(999)
   9                  NBEDS TO CENSUS, SERVICE (9) NURSES (0,.999).
  10  VARIABLE LABELS
  11             ID       'HOSPITAL IDENTIFICATION NUMBER'
  12             STAY     'AV LENGTH OF HOSPITAL STAY, IN DAYS'
  13             AGE      'AVERAGE PATIENT AGE'
  14             INFRISK  'PROB OF ACQUIRING INFECTION IN HOSPITAL'
  15             CULRATIO '# CULTURES PERFORMED / # NO HOSP ACQ INFECT'
  16             XRATIO   '# X-RAYS / # NO SIGNS OF PNEUMONIA'
  17             NBEDS    'AVERAGE # BEDS DURING STUDY PERIOD'
  18             MEDSCHL  'MEDICAL SCHOOL AFFILIATION'
  19             REGION   'REGION OF COUNTRY (USA)'
  20             CENSUS   'AVER # PATIENTS IN HOSPITAL PER DAY'
  21             NURSES   'AVER # NURSES DURING STUDY PERIOD'
  22             SERVICE  '% OF 35 POTENTIAL FACILITIES & SERVICES'.
  23  VALUE LABELS
  24             MEDSCHL   1 'YES'     2 'NO' /
  25             REGION
  26                1 'NORTHEAST'
  27                2 'NORTH CENTRAL'
  28                3 'SOUTH'
  29                4 'WEST' / .
  30
  31  recode infrisk (999=sysmis)(lowest thru 4.3 = 0)(4.4 thru highest = 1)
  32                  into riskcat.
  33  variable labels riskcat 'Infection risk category'.
  34  value labels riskcat 0 'Below median' 1 'At or above median'.

Section B  

  39  regression variables = nurses infrisk / dependent = infrisk / enter.

           * * * *   M U L T I P L E   R E G R E S S I O N   * * * *


Listwise Deletion of Missing Data

Equation Number 1    Dependent Variable..   INFRISK   PROB OF ACQUIRING INFECTIO

Block Number  1.  Method:  Enter


Variable(s) Entered on Step Number
   1..    NURSES    AVER # NURSES DURING STUDY PERIOD


Multiple R           .38993
R Square             .15205
Adjusted R Square    .14427
Standard Error      1.22203

Analysis of Variance
                    DF      Sum of Squares      Mean Square
Regression           1            29.18724         29.18724
Residual           109           162.77600          1.49336

F =      19.54471       Signif F =  .0000


------------------ Variables in the Equation ------------------

Variable              B        SE B       Beta         T  Sig T

NURSES          .003679  8.3209E-04    .389931     4.421  .0000
(Constant)     3.725496     .185867               20.044  .0000

Section C 

  40  ttest groups = medschl(1,2) / variables = infrisk.

t-tests for independent samples of  MEDSCHL   MEDICAL SCHOOL AFFILIATION

GROUP 1 - MEDSCHL  EQ      1.00:  YES
GROUP 2 - MEDSCHL  EQ      2.00:  NO



Variable         Number              Standard    Standard
                of Cases     Mean   Deviation      Error
------------------------------------------------------------
INFRISK   PROB OF ACQUIRING INFECTION IN HOSPITAL
      GROUP 1      17       5.0941      1.112       .270
      GROUP 2      95       4.2084      1.339       .137

                | Pooled Variance Estimate | Separate Variance Estimate
                |                          |
    F   2-tail  |    t   Degrees of 2-tail |    t    Degrees of  2-tail
  Value  Prob.  |  Value   Freedom   Prob. |  Value    Freedom    Prob.
----------------+--------------------------+------------------------------
   1.45   .406  |   2.57    110      .011  |   2.93     25.09      .007

Section D  

  41  crosstabs tables = riskcat by region
  42             / cells = count colper / statistics = chisq.

RISKCAT  Infection risk category  by  REGION  REGION OF COUNTRY (USA)

                    REGION                         Page 1 of 1
            Count  |
           Col Pct |NORTHEAS NORTH CE SOUTH    WEST
                   |T        NTRAL                        Row
                   |    1.00|    2.00|    3.00|    4.00| Total
RISKCAT    --------+--------+--------+--------+--------+
              .00  |     9  |    15  |    22  |     7  |    53
  Below median     |  32.1  |  46.9  |  61.1  |  43.8  |  47.3
                   +--------+--------+--------+--------+
             1.00  |    19  |    17  |    14  |     9  |    59
  At or above medi |  67.9  |  53.1  |  38.9  |  56.3  |  52.7
                   +--------+--------+--------+--------+
            Column      28       32       36       16      112
             Total    25.0     28.6     32.1     14.3    100.0

      Chi-Square                  Value           DF               Significance
--------------------          -----------        ----              ------------
Pearson                          5.41833           3                  .14361
Likelihood Ratio                 5.49838           3                  .13874
Mantel-Haenszel                  2.27771           1                  .13125

Section E:  Ordinary Multiple Regression

  43  regression / variables = census nbeds nurses medschl infrisk
  44             / statistics = default change
  45             / dependent = infrisk
  46             / enter census nbeds / enter nurses medschl.


           * * * *   M U L T I P L E   R E G R E S S I O N   * * * *


Listwise Deletion of Missing Data

Equation Number 1    Dependent Variable..   INFRISK   PROB OF ACQUIRING INFECTIO

Block Number  1.  Method:  Enter      CENSUS   NBEDS


Variable(s) Entered on Step Number
   1..    NBEDS     AVERAGE # BEDS DURING STUDY PERIOD
   2..    CENSUS    AVER # PATIENTS IN HOSPITAL PER DAY


Multiple R           .38592
R Square             .14893          R Square Change    .14893
Adjusted R Square    .13317          F Change          9.44978
Standard Error      1.22993          Signif F Change    .0002

Analysis of Variance
                    DF      Sum of Squares      Mean Square
Regression           2            28.58969         14.29485
Residual           108           163.37355          1.51272

F =       9.44978       Signif F =  .0002


------------------ Variables in the Equation ------------------

Variable              B        SE B       Beta         T  Sig T

NBEDS          -.002638     .003106   -.386869     -.849  .3977
CENSUS          .006482     .003896    .757941     1.664  .0991
(Constant)     3.786476     .194505               19.467  .0000


------------- Variables not in the Equation -------------

Variable     Beta In  Partial  Min Toler         T  Sig T

NURSES       .350971  .152236    .034407     1.593  .1140
MEDSCHL      .003088  .002635    .036076      .027  .9783



Equation Number 1    Dependent Variable..   INFRISK   PROB OF ACQUIRING INFECTIO

Block Number  2.  Method:  Enter      NURSES   MEDSCHL


Variable(s) Entered on Step Number
   3..    MEDSCHL   MEDICAL SCHOOL AFFILIATION
   4..    NURSES    AVER # NURSES DURING STUDY PERIOD


Multiple R           .41115
R Square             .16905          R Square Change    .02011
Adjusted R Square    .13769          F Change          1.28296
Standard Error      1.22672          Signif F Change    .2815

Analysis of Variance
                    DF      Sum of Squares      Mean Square
Regression           4            32.45099          8.11275
Residual           106           159.51226          1.50483

F =       5.39113       Signif F =  .0005


------------------ Variables in the Equation ------------------

Variable              B        SE B       Beta         T  Sig T

NBEDS          -.004299     .003275   -.630612    -1.313  .1921
CENSUS          .005889     .004005    .688544     1.470  .1445
MEDSCHL         .092369     .413791    .025296      .223  .8238
NURSES          .003369     .002103    .357061     1.602  .1122
(Constant)     3.565295     .898289                3.969  .0001

Section F:  Logistic Regression

  47  logistic regression riskcat with stay census nbeds region
  48             / categorical region
  49             / contrast(region) = indicator(3)
  50             / enter stay / enter nbeds census / enter region.


Dependent Variable Encoding:

Original       Internal
Value          Value
     .00       0
    1.00       1

                                 Parameter
                   Value   Freq  Coding
                                   (1)    (2)    (3)
REGION
 NORTHEAST          1.00     28  1.000   .000   .000
 NORTH CENTRAL      2.00     32   .000  1.000   .000
 SOUTH              3.00     36   .000   .000   .000
 WEST               4.00     16   .000   .000  1.000

Dependent Variable..   RISKCAT    Infection risk category

Beginning Block Number  0.  Initial Log Likelihood Function

-2 Log Likelihood   154.94339

* Constant is included in the model.


Beginning Block Number  1.  Method: Enter

Variable(s) Entered on Step Number
1..       STAY      AV LENGTH OF HOSPITAL STAY, IN DAYS

Estimation terminated at iteration number 4 because
Log Likelihood decreased by less than .01 percent.

                     Chi-Square    df Significance
 -2 Log Likelihood      126.874   110        .1295
 Model Chi-Square        28.069     1        .0000
 Improvement             28.069     1        .0000
 Goodness of Fit        108.919   110        .5112

---------------------- Variables in the Equation -----------------------

Variable           B      S.E.     Wald    df      Sig       R   Exp(B)

STAY           .7844     .1806  18.8704     1    .0000   .3300   2.1912
Constant     -7.3001    1.6982  18.4802     1    .0000


Beginning Block Number  2.  Method: Enter

Variable(s) Entered on Step Number
1..       NBEDS     AVERAGE # BEDS DURING STUDY PERIOD
          CENSUS    AVER # PATIENTS IN HOSPITAL PER DAY

                     Chi-Square    df Significance
 -2 Log Likelihood      124.166   108        .1369
 Model Chi-Square         2.708     2        .2582
 Improvement              2.708     2        .2582
 Goodness of Fit        108.635   108        .4648

---------------------- Variables in the Equation -----------------------

Variable           B      S.E.     Wald    df      Sig       R   Exp(B)

STAY           .6899     .1937  12.6842     1    .0004   .2902   1.9936
NBEDS         -.0090     .0066   1.8630     1    .1723   .0000    .9910
CENSUS         .0134     .0089   2.2500     1    .1336   .0444   1.0134
Constant     -6.6375    1.7428  14.5052     1    .0001


Beginning Block Number  3.  Method: Enter

Variable(s) Entered on Step Number
1..       REGION    REGION OF COUNTRY (USA)

                     Chi-Square    df Significance
 -2 Log Likelihood      114.707   105        .2432
 Model Chi-Square         9.459     3        .0238
 Improvement              9.459     3        .0238
 Goodness of Fit        108.048   105        .3996

---------------------- Variables in the Equation ------------------------

Variable            B      S.E.     Wald    df      Sig       R   Exp(B)

STAY            .9276     .2366  15.3646     1    .0001   .3281   2.5284
NBEDS          -.0129     .0072   3.2155     1    .0729  -.0989    .9872
CENSUS          .0186     .0096   3.7829     1    .0518   .1198   1.0188
REGION                            8.6010     3    .0351   .1447
 REGION(1)      .2103     .6635    .1004     1    .7513   .0000   1.2340
 REGION(2)      .2645     .5855    .2041     1    .6514   .0000   1.3028
 REGION(3)     2.2213     .7696   8.3300     1    .0039   .2258   9.2191
Constant      -9.3234    2.1597  18.6361     1    .0000
Section G:  Principal Components Analysis

  51  factor
  52       variables = stay age infrisk culratio xratio nbeds medschl
  53                census nurses service
  54      / print = default corr kmo
  55      / format = sort
  56      / extraction = pc  /rotation = variamx.
  57

- - - - - - - - - - -   F A C T O R   A N A L Y S I S   - - - - - - - - - - -


ANALYSIS NUMBER 1   LISTWISE DELETION OF CASES WITH MISSING VALUES


CORRELATION MATRIX:


              STAY       AGE   INFRISK  CULRATIO    XRATIO     NBEDS   MEDSCHL

STAY       1.00000
AGE         .19724   1.00000
INFRISK     .53003    .02411   1.00000
CULRATIO    .32065   -.24154    .56343   1.00000
XRATIO      .37807   -.00141    .43583    .41734   1.00000
NBEDS       .40936   -.03906    .35204    .14555    .03214   1.00000
MEDSCHL    -.29855    .13341   -.23281   -.25561   -.08157   -.58830   1.00000
CENSUS      .47487   -.03579    .37438    .14969    .04951    .98076   -.61235
NURSES      .33741   -.06492    .38483    .20192    .06361    .91449   -.58595
SERVICE     .35310   -.02415    .41145    .18002    .10639    .79598   -.52376


            CENSUS    NURSES   SERVICE

CENSUS     1.00000
NURSES      .90686   1.00000
SERVICE     .77964    .78376   1.00000


KAISER-MEYER-OLKIN MEASURE OF SAMPLING ADEQUACY =  .80177

BARTLETT TEST OF SPHERICITY = 889.31061, SIGNIFICANCE =     .00000

EXTRACTION  1  FOR ANALYSIS  1, PRINCIPAL-COMPONENTS ANALYSIS (PC)

INITIAL STATISTICS:

VARIABLE     COMMUNALITY  *  FACTOR   EIGENVALUE   PCT OF VAR   CUM PCT
                          *
STAY             1.00000  *     1       4.63835       46.4         46.4
AGE              1.00000  *     2       1.83542       18.4         64.7
INFRISK          1.00000  *     3       1.21422       12.1         76.9
CULRATIO         1.00000  *     4        .58270        5.8         82.7
XRATIO           1.00000  *     5        .55962        5.6         88.3
NBEDS            1.00000  *     6        .48131        4.8         93.1
MEDSCHL          1.00000  *     7        .32356        3.2         96.4
CENSUS           1.00000  *     8        .25621        2.6         98.9
NURSES           1.00000  *     9        .09343         .9         99.8
SERVICE          1.00000  *    10        .01518         .2        100.0

   PC EXTRACTED   3 FACTORS.


FACTOR MATRIX:


              FACTOR  1     FACTOR  2     FACTOR  3

CENSUS          .92837       -.27995        .04778
NBEDS           .91669       -.31179        .02692
NURSES          .90088       -.26921       -.03790
SERVICE         .84555       -.19477        .02230
MEDSCHL        -.69340        .14324        .21040
INFRISK         .59672        .58956        .07349
STAY            .59180        .41448        .39835

XRATIO          .25482        .74439        .04861
CULRATIO        .39294        .67481       -.37604

AGE            -.05624       -.00550        .92583


FINAL STATISTICS:

VARIABLE     COMMUNALITY  *  FACTOR   EIGENVALUE   PCT OF VAR   CUM PCT
                          *
STAY              .68070  *     1       4.63835       46.4         46.4
AGE               .86035  *     2       1.83542       18.4         64.7
INFRISK           .70906  *     3       1.21422       12.1         76.9
CULRATIO          .75119  *
XRATIO            .62142  *
NBEDS             .93826  *
MEDSCHL           .54560  *
CENSUS            .94253  *
NURSES            .88550  *
SERVICE           .75339  *


VARIMAX   ROTATION  1  FOR EXTRACTION  1  IN ANALYSIS  1 - KAISER NORMALIZATION.


  VARIMAX CONVERGED IN    4 ITERATIONS.


ROTATED FACTOR MATRIX:


              FACTOR  1     FACTOR  2     FACTOR  3

NBEDS           .96434        .07979        .04408
CENSUS          .96198        .11403        .06425
NURSES          .93415        .11131       -.02195
SERVICE         .85260        .15867        .03580
MEDSCHL        -.69705       -.14088        .19967

XRATIO         -.06353        .78507        .03245
INFRISK         .31120        .77977        .06469
CULRATIO        .09906        .76820       -.38889
STAY            .37009        .62343        .39379

AGE            -.06731       -.00982        .92505




FACTOR TRANSFORMATION MATRIX:


               FACTOR  1     FACTOR  2     FACTOR  3

FACTOR  1        .91716        .39838        .01017
FACTOR  2       -.39804        .91702       -.02517
FACTOR  3       -.01936        .01904        .99963



Preceding task required .05 seconds CPU time;  .17 seconds elapsed.


    62 command lines read.
     0 errors detected.
     0 warnings issued.
     1 seconds CPU time.
     1 seconds elapsed time.
       End of job.