Page 519 - Encyclopedia of Nursing Research
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486  n  STATISTICAl TeChnIQUeS



           does  regression  or  discriminant  function   tetrachoric  coefficients  are  estimates  of  r,
           analysis and provides estimates in terms of   given certain conditions. True nonparametric
   S       odds ratios that add to the understanding of   measures  of  relationship  include  Kendall’s
           the results.                             tau and the contingency coefficient. Kendall’s
              Chi-square  is  the  most  frequently   tau  was  developed  as  an  alternative  proce-
           reported nonparametric technique. It is used   dure for Spearman rho. It may be used when
           to compare the actual number (or frequency)   measuring the relation between two ranked
           in  each  group  with  the  “expected”  number.   (ordinal)  variables.  The  contingency  coef-
           The expected number can be based on theory,   ficient can be used to measure the relation-
           previous  experience,  or  comparison  groups.   ship  between  two  nominal-level  variables.
           Chi-square tests whether or not the expected   The calculation of this coefficient is based on
           number  differs  significantly  from  the  actual   the chi-square statistic. nonparametric tech-
           number.  Chi-square  is  the  appropriate  tech-  niques should be considered if assumptions
           nique  when  variables  are  measured  at  the   about  the  normal  distribution  of  variables
           nominal  level.  It  may  be  used  with  two  or   cannot  be  met.  These  techniques,  although
           more  mutually  exclusive  groups.  When  the   less  powerful,  provide  a  more  accurate
           groups  are  not  mutually  exclusive,  as  when   appraisal of group differences and relation-
           the  same  subjects  are  measured  twice,  an   ships  among  variables  when  the  assump-
           adaptation  of  chi-square,  the  mcnemar  test,   tions underlying the parametric techniques
           may be appropriate. The mcnemar test can be   have been violated.
           used to measure change when there are two    Regression  is  a  statistical  method  that
           dichotomous measures on the subjects. When   makes  use  of  the  correlation  between  two
           comparing  groups  of  subjects  on  ordinal   variables and the notion of a straight line to
           data, two commonly used techniques are the   develop an equation that can be used to pre-
           mann–Whitney U, which is used to compare   dict the score of one of the variables, given
           two groups and is thus analogous to the t test,   the score of the other. In the case of a multiple
           and the Kruskal–Wallis H, which is used to   correlation, regression is used to establish a
           compare two or more groups and is thus anal-  prediction  equation  in  which  the  indepen-
           ogous to the parametric technique AnOVA.  dent  variables  are  each  assigned  a  weight
              When one has repeated measures on two   based on their relationship to the dependent
           or more groups and the outcome measure is   variable, while controlling for the other inde-
           not  appropriate  for  parametric  techniques,   pendent variables.
           two  nonparametric  techniques  that  may  be   Regression  is  useful  as  a  flexible  tech-
           appropriate are the Wilcoxon matched-pairs   nique that allows prediction and explanation
           signed rank test and the Friedman matched   of  the  interrelationships  among  variables
           samples.  The  Wilcoxon  matched-pairs  is   and the use of categorical as well as contin-
           analogous to the parametric paired t test, and   uous variables. Regression literally means a
           the Friedman matched samples is analogous   falling back toward the mean. With perfect
           to a repeated-measures AnOVA.            correlations,  there  is  no  falling  back;  using
              In  addition  to  nonparametric  tech-  standardized  scores,  the  predicted  score
           niques for making group comparisons, there   is the same as the predictor. With less than
           are  nonparametric  techniques  for  measur-  perfect  correlations  there  is  some  error  in
           ing  relationships.  There  is  some  confusion   the measurement; the more error, the more
           about these techniques. For example, point-  regression toward the mean.
           biserial  and  Spearman  rho  are  often  con-  In multiple regression, the multiple cor-
           sidered  nonparametric  techniques  but  are   relation  (R)  and  each  of  the  b-weights  are
           actually   shortcut  formulas  for  the  pearson   tested  for  significance.  In  most  reports,  the
           product–moment correlation (r). Biserial and   squared multiple correlation, R , is reported,
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