Which method to use statistics Watch

samzdadon
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Hi everyone, your help would be greatly appreciated

- Out of Chi-square test, correlational analysis, t-test, ANOVA & regression analysis, which inferential statistic method would be best suited to use for these 2 questions ?

- Is there a gender difference in job satisfaction, when controlling for the potential influence of neuroticism on job satisfaction?

- Which is a stronger predictor of psychological ill-health: job satisfaction or neuroticism?

Your help would be greatly appreciated
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chooseanother
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Most likely a t-test for the first one, depending on the sample size, the distribution of your data and the experimental design.

A regression for the second one I think because you’re trying to make predictions rather than just looking at differences/correlations.
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samzdadon
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(Original post by chooseanother)
Most likely a t-test for the first one, depending on the sample size, the distribution of your data and the experimental design.

A regression for the second one I think because you’re trying to make predictions rather than just looking at differences/correlations.
Thank you so much man
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Gregorius
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(Original post by samzdadon)
Hi everyone, your help would be greatly appreciated

- Out of Chi-square test, correlational analysis, t-test, ANOVA & regression analysis, which inferential statistic method would be best suited to use for these 2 questions ?

- Is there a gender difference in job satisfaction, when controlling for the potential influence of neuroticism on job satisfaction?

- Which is a stronger predictor of psychological ill-health: job satisfaction or neuroticism?

Your help would be greatly appreciated
There is not enough information here to answer the question. Both would be natural candidates for some sort of regression analysis; what sort would depend on the data type and distribution of the variables concerned.

For example, in the first, if job satisfaction is measured on a continuous scale, then linear regression would be the obvious candidate, subject tot he usual requirements of the normality and homoscedasticity of the residuals.

For the second, you need to be very careful about what you mean by "stronger predictor". This does not (or should not!) mean the one with the smallest p-value!
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samzdadon
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Thank you for the help, unfortunately these are the questions I have been given to answer with a data set by my lecturers. They have been vague
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