One Way Repeated Anova
One-way repeated measure ANOVA
In a one-way repeated measures ANOVA design,each subject is exposed to two or more different conditions, or measured on the continuous scale onthree or more occasions. It can also be used to compare respondents’ responses to two or more questions or items. These questions, hiwever, must be meausred using the same scale.( Likert scale)
Example of research question: Is there a change in confidence scores over the three time periods?
What you need: One group of participants measured on the same scale on three different occasions or under three different conditions, or each person measured on three different questions or items ( using the same scale). This involves teo variables:
● one indepenedet variable ( categorical) ( e.g. Time 1/Time 2/Time 3)
● one dependent variable ( numerical) (e.g scores on the confidence in coping with statistics test). The scores on the test for each time point will appear in the data file in different columns.
What it does: This technique will tell you if there is a significant difference somewhere among the three sets of scores
Assumptions: Same as ANOVA
Non-parametric alternative: Friedman Test
Example
A group of students were invited to participate in an intervention designed to increase their confidence in their ability to do statistics. The confidence levels wer measyred before intervention (Time 1), after the intervention (Time 2) and again three months later (Time 3)
Data: file experim4ED.sav
Variables:
● Confidence scores at Time 1( Confid 1): Total scores on the confidence in coping with statistics test administered prior to the program. Score range from 10 to 40.
● Confidence scores at Time 2( Confid 2): Total scores on the confidence in coping with statistics test administered after the program.
● Confidence scores at Time3( Confid 3): Total scores on the confidence in coping with statistics test administered three months later
PROCEDURE FOR ONE-WAY REPEATED MEASURE ANOVA:
1.
In a one-way repeated measures ANOVA design,each subject is exposed to two or more different conditions, or measured on the continuous scale onthree or more occasions. It can also be used to compare respondents’ responses to two or more questions or items. These questions, hiwever, must be meausred using the same scale.( Likert scale)
Example of research question: Is there a change in confidence scores over the three time periods?
What you need: One group of participants measured on the same scale on three different occasions or under three different conditions, or each person measured on three different questions or items ( using the same scale). This involves teo variables:
● one indepenedet variable ( categorical) ( e.g. Time 1/Time 2/Time 3)
● one dependent variable ( numerical) (e.g scores on the confidence in coping with statistics test). The scores on the test for each time point will appear in the data file in different columns.
What it does: This technique will tell you if there is a significant difference somewhere among the three sets of scores
Assumptions: Same as ANOVA
Non-parametric alternative: Friedman Test
Example
A group of students were invited to participate in an intervention designed to increase their confidence in their ability to do statistics. The confidence levels wer measyred before intervention (Time 1), after the intervention (Time 2) and again three months later (Time 3)
Data: file experim4ED.sav
Variables:
● Confidence scores at Time 1( Confid 1): Total scores on the confidence in coping with statistics test administered prior to the program. Score range from 10 to 40.
● Confidence scores at Time 2( Confid 2): Total scores on the confidence in coping with statistics test administered after the program.
● Confidence scores at Time3( Confid 3): Total scores on the confidence in coping with statistics test administered three months later
PROCEDURE FOR ONE-WAY REPEATED MEASURE ANOVA:
1.