Learn Before
Fisher's Least Significant Difference (LSD) Test
Fisher's least significant difference (LSD) test is a modified -test procedure utilized for post hoc comparisons after a significant one-way ANOVA result. Like other specialized techniques, its primary purpose is to evaluate differences between specific pairs of group means while mathematically controlling the compounded risk of making a Type I error (mistakenly rejecting a true null hypothesis) that occurs when conducting multiple standard -tests.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Bonferroni Procedure
Fisher's Least Significant Difference (LSD) Test
Tukey's Honestly Significant Difference (HSD) Test
Why do researchers use modified t-test procedures, such as the Bonferroni procedure or Tukey's honestly significant difference (HSD) test, rather than standard t-tests when conducting post hoc comparisons?
If a researcher decides to use standard t-tests rather than modified t-test procedures for multiple post hoc comparisons, they will successfully keep their overall risk of mistakenly rejecting a true null hypothesis at an acceptable level.