ad 186 - nonparproblems20.pdf (1.57 MB) evious CHAPTER 30 STATISTICAN TECHNIQUES FOR ORDINAL DATA: MANN-WHITNEY, MILCOKOH, KRUSKAL-WALLIS, AND FRIEDNAN TESTS 7. Occasionally, researchers measure a behavior that has extremely large variability. In these situations, the vyrirblity of the sores cin översh.—ans "dil differences in the cuts so that it is essentially impossible to find significant difforms. If the scores inc converted ja ranks, however, the problems of lanc varsability can be eliminata! Consider the following example: A researcher is examing how suncion o failure on a task ein influerer an individual's futur performance on the same link. A roup of participants is given 10 trientes to work on a problem solving link. Based on their performance, they are classified a having either succeeded or failed. The participants ar then given a second chance to work on a similar besk with no time limit. The researcher simply records how long each person persists on the task before stopping The scores ĉin minutes) for the two groups are as Ho Initial success. 13, 20, 14, 7, 19, 23, 5K, 10 Initial Exilire 157,365, 4, 32 With the large variability in the scores, all would conclude thu there is no significant differcier betwees the two groups How vi, you can rank the scrs ani use a Man Whitegy lost to evaluate the differe heann le lwo pups. Perform the Mann Walley best using the 05 level of significance 8. One sumption for panenetric tests with independent measures lila is that the differed freiben, condition hurve the same variance Chomogeneity of variance assumption) However, a trement ells, tha erin The man øllen - » Sæm the variaxlity 1.15. situation, the parameinc rest or ANOVA OL justified Mann Whitney best should be used. The following data represent an example of this situation Sample Al Treatment 2 Sample watched Sesame Street as 5-year-old children had higher grades than their peers who did not watch the MOENIM. The results of an, independent-mezsures i lest indicated a significant difference between the two groups. The data are repeated bene a. Does a Mann-Whitney test also indicate a significan, Jill-uce la jiye US level of spalilianx b. The Kruskal-Wallis test is usually intended for evaluating the differences among three är nx separate samples. However, the lest can be used with only two samples. Use the Kruskal-Wallis test with a – 15 in evaluate the difference bwiiwa the two groups of students. Is the result consistent with The cutcome of th. Mann-Whitney test? Average ligh School Grade Watched Setaine Street M Y Did Not Watch 10 Problems 22 from Chapter 11 described a research study comparing the acconcy of Olympic marksmen for shots fired during a heartbeat with the accuracy for Las fired between heartbeats (Pelion, 1981). The repeiled meses est showed a significant difference between the two conditions Transform the scores les ordinal data (ranks) and use a Wilcxton text with 05 to determine whether the urdinul test produces The same sixclusion. The call tre ki þ6 ME Participant During Harboats Heartbeans D a. Compute the mean and variance for each sample. Note the difference between the two sample YUN DEVE h. Use a Mann-Whitney test, with a .05, to test for a significant difference between the two treatments. 9. Example 10.1 (page 318) reported research results demonstrating that high school students who regularly 21 11. Problem 24 from Chapter 11 described a study evaluating the effect of a drug (MAO inhibitori br tealing nightmares for valoran with post-traumatic stress disorder (PTSD). The reposted measures 1 þes showed significant improvement after patients took the Page

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evious
CHAPTER 30 STATISTICAN TECHNIQUES FOR ORDINAL DATA: MANN-WHITNEY, MILCOKOH, KRUSKAL-WALLIS, AND FRIEDNAN TESTS
7. Occasionally, researchers measure a behavior that has
extremely large variability. In these situations, the
vyrirblity of the sores cin översh.—ans "dil
differences in the cuts so that it is essentially impossible
to find significant difforms. If the scores inc
converted ja ranks, however, the problems of lanc
varsability can be eliminata! Consider the following
example: A researcher is examing how suncion o
failure on a task ein influerer an individual's futur
performance on the same link. A roup of participants
is given 10 trientes to work on a problem solving link.
Based on their performance, they are classified a
having either succeeded or failed. The participants ar
then given a second chance to work on a similar besk
with no time limit. The researcher simply records how
long each person persists on the task before stopping
The scores ĉin minutes) for the two groups are as
Ho
Initial success. 13, 20, 14, 7, 19, 23, 5K, 10
Initial Exilire 157,365, 4, 32
With the large variability in the scores, all would
conclude thu there is no significant differcier betwees
the two groups How vi, you can rank the scrs ani
use a Man Whitegy lost to evaluate the differe
heann le lwo pups. Perform the Mann Walley
best using the 05 level of significance
8. One sumption for panenetric tests with independent
measures lila is that the differed freiben, condition
hurve the same variance Chomogeneity of variance
assumption) However, a trement ells, tha erin
The man øllen - » Sæm the variaxlity 1.15.
situation, the parameinc rest or ANOVA OL
justified Mann Whitney best should be used. The
following data represent an example of this situation
Sample Al
Treatment 2
Sample
watched Sesame Street as 5-year-old children had
higher grades than their peers who did not watch the
MOENIM. The results of an, independent-mezsures i lest
indicated a significant difference between the two
groups. The data are repeated bene
a. Does a Mann-Whitney test also indicate a
significan, Jill-uce la jiye US level of
spalilianx
b. The Kruskal-Wallis test is usually intended for
evaluating the differences among three är nx
separate samples. However, the lest can be used
with only two samples. Use the Kruskal-Wallis test
with a – 15 in evaluate the difference bwiiwa the
two groups of students. Is the result consistent with
The cutcome of th. Mann-Whitney test?
Average ligh School Grade
Watched
Setaine Street
M
Y
Did Not Watch
10 Problems 22 from Chapter 11 described a research
study comparing the acconcy of Olympic marksmen
for shots fired during a heartbeat with the accuracy for
Las fired between heartbeats (Pelion, 1981). The
repeiled meses est showed a significant difference
between the two conditions Transform the scores
les ordinal data (ranks) and use a Wilcxton text with
05 to determine whether the urdinul test produces
The same sixclusion. The call tre ki þ6 ME
Participant
During
Harboats
Heartbeans
D
a. Compute the mean and variance for each sample.
Note the difference between the two sample
YUN DEVE
h. Use a Mann-Whitney test, with a .05, to test for
a significant difference between the two treatments.
9. Example 10.1 (page 318) reported research results
demonstrating that high school students who regularly
21
11. Problem 24 from Chapter 11 described a study
evaluating the effect of a drug (MAO inhibitori br
tealing nightmares for valoran with post-traumatic
stress disorder (PTSD). The reposted measures 1 þes
showed significant improvement after patients took the
Page
Transcribed Image Text:ad 186 - nonparproblems20.pdf (1.57 MB) evious CHAPTER 30 STATISTICAN TECHNIQUES FOR ORDINAL DATA: MANN-WHITNEY, MILCOKOH, KRUSKAL-WALLIS, AND FRIEDNAN TESTS 7. Occasionally, researchers measure a behavior that has extremely large variability. In these situations, the vyrirblity of the sores cin översh.—ans "dil differences in the cuts so that it is essentially impossible to find significant difforms. If the scores inc converted ja ranks, however, the problems of lanc varsability can be eliminata! Consider the following example: A researcher is examing how suncion o failure on a task ein influerer an individual's futur performance on the same link. A roup of participants is given 10 trientes to work on a problem solving link. Based on their performance, they are classified a having either succeeded or failed. The participants ar then given a second chance to work on a similar besk with no time limit. The researcher simply records how long each person persists on the task before stopping The scores ĉin minutes) for the two groups are as Ho Initial success. 13, 20, 14, 7, 19, 23, 5K, 10 Initial Exilire 157,365, 4, 32 With the large variability in the scores, all would conclude thu there is no significant differcier betwees the two groups How vi, you can rank the scrs ani use a Man Whitegy lost to evaluate the differe heann le lwo pups. Perform the Mann Walley best using the 05 level of significance 8. One sumption for panenetric tests with independent measures lila is that the differed freiben, condition hurve the same variance Chomogeneity of variance assumption) However, a trement ells, tha erin The man øllen - » Sæm the variaxlity 1.15. situation, the parameinc rest or ANOVA OL justified Mann Whitney best should be used. The following data represent an example of this situation Sample Al Treatment 2 Sample watched Sesame Street as 5-year-old children had higher grades than their peers who did not watch the MOENIM. The results of an, independent-mezsures i lest indicated a significant difference between the two groups. The data are repeated bene a. Does a Mann-Whitney test also indicate a significan, Jill-uce la jiye US level of spalilianx b. The Kruskal-Wallis test is usually intended for evaluating the differences among three är nx separate samples. However, the lest can be used with only two samples. Use the Kruskal-Wallis test with a – 15 in evaluate the difference bwiiwa the two groups of students. Is the result consistent with The cutcome of th. Mann-Whitney test? Average ligh School Grade Watched Setaine Street M Y Did Not Watch 10 Problems 22 from Chapter 11 described a research study comparing the acconcy of Olympic marksmen for shots fired during a heartbeat with the accuracy for Las fired between heartbeats (Pelion, 1981). The repeiled meses est showed a significant difference between the two conditions Transform the scores les ordinal data (ranks) and use a Wilcxton text with 05 to determine whether the urdinul test produces The same sixclusion. The call tre ki þ6 ME Participant During Harboats Heartbeans D a. Compute the mean and variance for each sample. Note the difference between the two sample YUN DEVE h. Use a Mann-Whitney test, with a .05, to test for a significant difference between the two treatments. 9. Example 10.1 (page 318) reported research results demonstrating that high school students who regularly 21 11. Problem 24 from Chapter 11 described a study evaluating the effect of a drug (MAO inhibitori br tealing nightmares for valoran with post-traumatic stress disorder (PTSD). The reposted measures 1 þes showed significant improvement after patients took the Page
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