Tnx a lot Mela , why spss puts my variable on missing value during multivariate analysis . But during bi variant analysis , it doesnt . Candidate variables are 20
What is the scientific accept statically model in this scenario, Our research title is Therapeutic Efficacy of Praziquantel and Factors Associated with the Prevalence of Schistosoma Mansoni Infection among Primary School Children”. I calculate the egg reduction rate (ERR) by non-parametric test b/c of non-normality data. I used the Mann-Whitney U test to analyze egg counts per gram of stool at baseline and follow-up. However, the Mann-Whitney U test is designed for independent samples, such as treatment and control groups. In your case, the samples are related, as they represent measurements taken from the same subjects before and after treatment. I analyzed categorical data using the Pearson chi-square test and am encountering issues with cell counts. The general guideline for the chi-square test is that at least 80% of the expected cell frequencies should be greater than 5. In your case, 50% of the cell values are less than 5.
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You are different, bro. thank you so much
Tnx a lot Mela , why spss puts my variable on missing value during multivariate analysis . But during bi variant analysis , it doesnt . Candidate variables are 20
ሰላም ላንተ ይሁን እንዴት ነህ ሁሉም ቪዲዮዎች አስተማሪዎች ናቸው ከቻልህ ስለ panel regression model አጠቃቅም ብታሳየን
Eshi, Ameseginalehu!
How to solve missing value in data frequency ?
Get answer here
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speck in english
I don't think you can listen in English because you can't write in English either
What is the scientific accept statically model in this scenario, Our research title is Therapeutic Efficacy of Praziquantel and Factors Associated with the Prevalence of Schistosoma Mansoni Infection among Primary School Children”. I calculate the egg reduction rate (ERR) by non-parametric test b/c of non-normality data.
I used the Mann-Whitney U test to analyze egg counts per gram of stool at baseline and follow-up. However, the Mann-Whitney U test is designed for independent samples, such as treatment and control groups. In your case, the samples are related, as they represent measurements taken from the same subjects before and after treatment.
I analyzed categorical data using the Pearson chi-square test and am encountering issues with cell counts. The general guideline for the chi-square test is that at least 80% of the expected cell frequencies should be greater than 5. In your case, 50% of the cell values are less than 5.