ከላይ የለው table ANOVAየሚያሳየው:- for repeated measures SPSS Data View

ለምሳሌ:-And here is the Variable View tab in SPSS:

⚛ይቀጥላል #to be continued 👇👇👇👇

♎️The independent variable in this example is the #[diet] Program which consists of two levels: low-carb and low-fat diets.
♐️The dependent variable is 1st Period, 2nd Period, and 3rd Period.
🆔We also have the ID where each respondent in the study is associated with a unique number. 
፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨
Since this study has one #independent variable and
♊️we plan to measure the diet effects for the same participants in two different groups over three-period points, the one-way ANOVA for repeated measures would be the right approach. 

♻️Before preceding with the ANOVA for repeated measures analysis, it is important to make sure we align with the required assumption for the ANOVA test:
⛎Independence: all observations must be independent therefore each group in the study must have unique participants.
🈴A participant can only be part of one group and there is no way the subject can influence members of another group.
🛃Sphericity: the variance between groups must be equal.

✳️Normality: data must have a multivariate normal distribution in the population under study. 
፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨፨

ከላይ ያለው table 2 Repeatedየሚያሳየው #Measures ANOVA Variable View

♏️Here are the steps to conducting one-way repeated measures ANOVA analysis in SPSS:
♒️♒️♒️♒️♒️♒️♒️♒️♒️♒️♒️♒️
🕉Navigate to #Analyze → General Linear Model → Repeated Measures in the SPSS top menu.
☮On the Repeated Measure Define Factor(s) window, specify:
☮The #Within-Subject Factor Name, e,g., Period or Time Frame. You can rename the name with something appropriate in the case is needed.
The🕎 #Number of Levels respectively the number of dependent variables in the study. In our case, this is three. 

Click the #Add button to move the factor and the defined variables into the respective box. 

ይቀጥላል 👇👇👇👇👇

Above figure is showing #Repeated measures #ANOVA Define the withing-subject factor

Pleach click #Define above figure to indicate factor for ANOVA for repeated measures

♒️ይቀጥላል 👇👇👇👇👇👇👇👌

⚛In the #Repeated Measures window we have to specify in the right order a dependent variable for each #Within-Subjects Variables. 

For instance, In our SPSS ♎️sample dataset, we have three dependent variables representing three periods: 1st Period, 2nd Period, and 3rd Period. In our study, these 

The #1st Period will be moved to the #_?_(1) position, the #2nd Period to the _?_(2) position, the #3rd Period to _?_(3), and so on. You can select each variable and use the arrow to move it in the appropriate box or even easier, use the mouse to drag and drop each dependent variable to its appropriate position. 
see figure below👇👇👇👇

Add the Within-Subjects Variable in SPSS

Add plotting

⚛Options for ANOVA with repeated measures analysis
Finally, on the #Repeated Measures window, click #OK to proceed with the ANOVA for repeated measures analysis in SPSS👏

♎️RESULTS, when we look at the mean between the groups for each diet program,
♐️we can observe that the mean for #Low Carbs Diet group is lower than that of the# Low Fat Diet group which may indicate that a low carbs diet program is more efficient –
with the exception of #1st Period where the means between the two programs are the closest!!

♓️The Estimated Margin Means table shows us an estimate summary for the mean and standard error for each period as well as the lower and upper bound values at a 95% confidence interval.
🕎we can observe that the #Mean in the Estimates table is actually the equivalent of the #Total Mean in the Descriptive Statistics table ከላይ ማለት ነው።

♎️Finally, the #Multivariate Test table shows us a similar output as the Multivariate Test 🕎we discussed above tabel and shows statistical significance for all the different test statistics used in the ANOVA for repeated measures analysis.
@Setotaw CONSULTING 2022
♎️♎️♎️♎️♎️END♊️♊️♊️♊️

☸☸☸☸☸References♓️♓️♓️
Fench , D. (2022). Discovering statistics using IBM SPSS statistics (5th edition). Sage: Thousand Oaks, CA.

Pallant, J. (2010). SPSS survival manual: A step-by-step guide to data analysis using SPSS. Maidenhead: Open University Press/McGraw-Hill.

Pituch, K.A. and Stevens, J.P. (2016) Applied Multivariate Statistics for the Social Sciences.
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