It is better to use mean than percentages dear! If you want to measure through percentages, you can encode using 1= high 2= medium 3= low Then you can encode the responses of your respondents! after all, when you analyze, your responses will be displayed in terms of frequency and percentages.
In statistical analysis, the dependent variable is the outcome or response variable that is being studied. It represents the effect or outcome that researchers are interested in understanding, explaining, or predicting. The coding of the dependent variable involves assigning numerical values or categories to represent different levels or responses of the variable. The coding process is influenced by the nature of the variable and the analysis being conducted.
Analyze associated factors: To analyze the associated factors, you can use various statistical techniques, such as descriptive statistics, t-tests, correlation analysis, or regression analysis. Here's how you can perform these analyses: Descriptive statistics: Go to "Analyse" > "Descriptive Statistics" > "Frequencies." Select the associated factor variable(s) and move them to the "Variables" box. Click "OK" to generate descriptive statistics, including frequencies, means, and standard deviations. T-tests: If you want to compare the means of associated factors across different groups (e.g., gender, age), you can use t-tests. Go to "Analyse" > "Compare Means" > "Independent-Samples T Test." Select the associated factor variable as the dependent variable and the grouping variable as the independent variable. Specify any additional options and click "OK" to run the t-test. Correlation analysis: To examine the relationship between Likert scale total scores and associated factors, you can perform correlation analysis. Go to "Analyse" > "Correlate" > "Bivariate." Select the Likert scale total score variable and the associated factor variable(s). Specify any additional options (e.g., correlation coefficient type) and click "OK" to generate the correlation matrix. Regression analysis: If you want to predict the Likert scale total scores based on the associated factors, you can perform regression analysis. Go to "Analyse" > "Regression" > "Linear." Select the Likert scale total score variable as the dependent variable and the associated factor variable(s) as the independent variable(s). Specify any additional options (e.g., method, variable selection) and click "OK" to run the regression analysis.
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thank you for your feedback
በጠም እርፍ ነው በርታልን ወድማችን
Thank you! I will !
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Thank you very much! I will!
በጣም ጥሩ ትምህርት ነው ለኔ በጣም ጠቅሞኛል ከልብ አመሰግናለው
It is my pleasure! Thank you!
በጣም አሪፍ ነዉ ለኔ ጠቅሞኛል አመሰግናለሁ
It is my pleasure !
Thankyou🙏🙏
Next
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በጣም ጥሩ ትምህርት ነዉ በፐርሰንት ወይንም በደረጃ ማለት ከፍተኛ መካከለኛና ዝቅተኛ ብለን እንዴት መተንተን እንችላለን
It is better to use mean than percentages dear! If you want to measure through percentages, you can encode using
1= high
2= medium
3= low
Then you can encode the responses of your respondents! after all, when you analyze, your responses will be displayed in terms of frequency and percentages.
Fantastic
Thank you! Cheers!
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Thank you
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tiru ereditognal amseginalehu
Glad you liked it!
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ክፍል አንድ
dependent variable yileyal end coding
In statistical analysis, the dependent variable is the outcome or response variable that is being studied. It represents the effect or outcome that researchers are interested in understanding, explaining, or predicting. The coding of the dependent variable involves assigning numerical values or categories to represent different levels or responses of the variable. The coding process is influenced by the nature of the variable and the analysis being conducted.
nice
Thanks
Mibelt data binor endet new mnatefaw ?
do you mean that deleting data?
likert scale with associated factor endet analysis endemisera btasayen des yilegnal
Analyze associated factors: To analyze the associated factors, you can use various statistical techniques, such as descriptive statistics, t-tests, correlation analysis, or regression analysis. Here's how you can perform these analyses:
Descriptive statistics: Go to "Analyse" > "Descriptive Statistics" > "Frequencies." Select the associated factor variable(s) and move them to the "Variables" box. Click "OK" to generate descriptive statistics, including frequencies, means, and standard deviations.
T-tests: If you want to compare the means of associated factors across different groups (e.g., gender, age), you can use t-tests. Go to "Analyse" > "Compare Means" > "Independent-Samples T Test." Select the associated factor variable as the dependent variable and the grouping variable as the independent variable. Specify any additional options and click "OK" to run the t-test.
Correlation analysis: To examine the relationship between Likert scale total scores and associated factors, you can perform correlation analysis. Go to "Analyse" > "Correlate" > "Bivariate." Select the Likert scale total score variable and the associated factor variable(s). Specify any additional options (e.g., correlation coefficient type) and click "OK" to generate the correlation matrix.
Regression analysis: If you want to predict the Likert scale total scores based on the associated factors, you can perform regression analysis. Go to "Analyse" > "Regression" > "Linear." Select the Likert scale total score variable as the dependent variable and the associated factor variable(s) as the independent variable(s). Specify any additional options (e.g., method, variable selection) and click "OK" to run the regression analysis.
Reliability and validity endet endemisera betasayen
Dear watch this video and you can understand what Reliability is and validity.
th-cam.com/video/G8M-wGpWsGM/w-d-xo.html
betam konjo akerareb nw ketlibet
Thank you very much!