RT Book, Section
A1 Portney, Leslie G.
A1 Watkins, Mary P.
SR Print(0)
ID 1138252176
T1 Comparing More than Two Means: Analysis of Variance
T2 Foundations of Clinical Research: Applications to Practice, 3e
YR 2017
FD 2017
PB McGraw-Hill Education
PP New York, NY
SN 9780803646575
LK fadavispt.mhmedical.com/content.aspx?aid=1138252176
RD 2024/09/18
AB As  knowledge  and  clinical  theory  have  developed,  clinical  researchers  have  proposed  more  complex  research  questions,  necessitating  the  use  of  elaborate  multilevel  and  multifactor  experimental  designs.  The  analysis  of  variance  (ANOVA)  is  a  powerful  analytic  tool  for  analyzing  such  designs,  where  three  or  more  conditions  or  groups  are  compared.  The  analysis  of  variance  is  used  to  determine  if  the  observed  differences  among  a  set  of  means  are  greater  than  would  be  expected  by  chance  alone.  The  ANOVA  is  based  on  the  F  statistic,  which  is  similar  to  t  in  that  it  is  a  ratio  of  between-groups  treatment  effects  to  within-group  variability.  The  test  can  be  applied  to  independent  groups  or  repeated  measures  designs.∗