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Convert Continuous Variables into Categorical Variables in SPSS | Change Scale to Nominal Variable
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Convert Continuous Variables into Categorical Variables in SPSS | Change Scale to Nominal Variable
This video demonstrates how to transform continuous data (such as age or salary) into categories in SPSS. You may already have this information but organizing it might help you examine and understand it better.
Consider doing an age-based survey. Knowing everyone's exact age is excellent but looking at it in groupings (such as young adults, middle-aged people, and seniors) might reveal fascinating trends. That's where categorizing comes in!
SPSS provides a useful feature called "Recode" that allows you to do this. We'll lead you through these steps:
Choose Your Variable: Choose the continuous variable you want to categorize (for example, age).
Creating categories: Determine how many groups you want and the ranges they will cover. For age, you may include categories like "Under 20," "20-40," "41-60," and "Over 60."
Using recode: We'll teach you how to use the "Recode" function to assign new category codes (such as 1, 2, 3, or 4) to each age range in your dataset.
By the end of this session, you'll be able to confidently categorize continuous data, making SPSS data analysis more efficient and insightful!
#typesofvariable #centraltendency #beginner #dataentry #spss #spsstutorial #shahzadahmadmustafai
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This video demonstrates how to transform continuous data (such as age or salary) into categories in SPSS. You may already have this information but organizing it might help you examine and understand it better.
Consider doing an age-based survey. Knowing everyone's exact age is excellent but looking at it in groupings (such as young adults, middle-aged people, and seniors) might reveal fascinating trends. That's where categorizing comes in!
SPSS provides a useful feature called "Recode" that allows you to do this. We'll lead you through these steps:
Choose Your Variable: Choose the continuous variable you want to categorize (for example, age).
Creating categories: Determine how many groups you want and the ranges they will cover. For age, you may include categories like "Under 20," "20-40," "41-60," and "Over 60."
Using recode: We'll teach you how to use the "Recode" function to assign new category codes (such as 1, 2, 3, or 4) to each age range in your dataset.
By the end of this session, you'll be able to confidently categorize continuous data, making SPSS data analysis more efficient and insightful!
#typesofvariable #centraltendency #beginner #dataentry #spss #spsstutorial #shahzadahmadmustafai
My Official Facebook Page:
My Official Instagram Page:
My Official LinkedIn Account
My WhatsApp Channel: