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    Hi

    I must only use either a one-way ANOVA, a two-way ANOVA or a two-factor ANOVA in this exercise.


    I'm considering using a one-way ANOVA, but I'm still not quite sure...
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    (Original post by SikoSiko)
    Hi

    The question is: "Is the average salary different for persons with different categories of education?"

    I must only use either a one-way ANOVA, a two-way ANOVA or a two-factor ANOVA in this exercise.
    I will attach the data that I have available, maybe you could look at it and tell me which ANOVA is most fitted?
    My data is a sample of full-time occupied persons. The sample is considered representative of the working population.

    I'm considering using a one-way ANOVA, but I'm still not quite sure...
    The obvious question is "why must you use one-way ANOVA, a two-way ANOVA or a two-factor ANOVA in this exercise"? It's pretty obvious that salary will be a function of at least sex age and experience, so the obvious analysis to do is a linear regression adjusting for these possible confouncers. Whether you use salary or log(salary) as outcome depends on the distribution of residuals.
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    So I should use linear regression instead of ANOVA?
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    (Original post by SikoSiko)
    So I should use linear regression instead of ANOVA?
    How many subjects do you have in your dataset?
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    (Original post by Gregorius)
    How many subjects do you have in your dataset?
    Okay, so what I have understood of the assignment so far is that to answer this question ("Is the average salary different for persons with different categories of education?") I should use the Salary variable and the Schooling-cat (as seen in the attachment) because in the next question sounds as follows: "Are the conclusions from the previous question changed if gender is included in the analysis?"
    That's why I thought to first start out with ANOVA....
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    (Original post by SikoSiko)
    Hi

    The question is: "Is the average salary different for persons with different categories of education?"

    I must only use either a one-way ANOVA, a two-way ANOVA or a two-factor ANOVA in this exercise.
    I will attach the data that I have available, maybe you could look at it and tell me which ANOVA is most fitted?
    My data is a sample of full-time occupied persons. The sample is considered representative of the working population.

    I'm considering using a one-way ANOVA, but I'm still not quite sure...
    What's the difference between "two-way" and "two-factor" ANOVA?

    (Original post by SikoSiko)
    So I should use linear regression instead of ANOVA?
    Linear regression and ANOVA are the same - they're just different ways of expressing a general linear model.

    Given the question, a one-way ANOVA using schooling-cat would answer it. It doesn't ask you to control for anything else (as far as you've said).
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    (Original post by chazwomaq)
    What's the difference between "two-way" and "two-factor" ANOVA?



    Linear regression and ANOVA are the same - they're just different ways of expressing a general linear model.

    Given the question, a one-way ANOVA using schooling-cat would answer it. It doesn't ask you to control for anything else (as far as you've said).
    All right, thank you! So in the next question where I include gender, it is then sufficient with a two-way ANOVA?
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    (Original post by SikoSiko)
    Okay, so what I have understood of the assignment so far is that to answer this question ("Is the average salary different for persons with different categories of education?" I should use the Salary variable and the Schooling-cat (as seen in the attachment) because in the next question sounds as follows: "Are the conclusions from the previous question changed if gender is included in the analysis?"
    That's why I thought to first start out with ANOVA....
    Ah right, I hadn't twigged that you were answering questions on an assignment. Yes, one-way ANOVA for the first is fine and two-way for the second.

    However, with data like this, the proper way to do the analysis is via regression using continuous variables as continuous.
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    (Original post by SikoSiko)
    All right, thank you! So in the next question where I include gender, it is then sufficient with a two-way ANOVA?
    Yes.

    In general, please give as much information as you can - "this is an assignment", "this is part 1 of a 3 part question", then give all parts etc. etc.
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    (Original post by chazwomaq)
    Yes.

    In general, please give as much information as you can - "this is an assignment", "this is part 1 of a 3 part question", then give all parts etc. etc.
    Yes, I will remember that. Thank you! :-)
 
 
 
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