Hello, I'm currently working on my data analysis but I'm not sure what statistical test to use.
My research objective is: To determine the effect of age, gender, and GPA on the work readiness of graduating students
My hypotheses are:
- H1: Age significantly affects students' work readiness
- H2: Gender significantly affects students' work readiness
- H3: GPA significantly affects students' work readiness
In my study, work readiness is measured through a Likert-scale instrument (from 1 to 5), and I'll derive the mean scores to interpret work readiness.
Your design is not entirely clear. But it looks like ordinal logistic regression is what you need. See the attachment search to give you more direction. Best wishes David Booth
You could conduct a multiple regression.
*If your sample is composed of students who will be graduating soon, there will probably not be much variability in 'age' as students will all tend to be within 1-2 years of each other.
If you choose a multiple regression would not your DV be at least yes or no wouldn't it then be still a logistic regression and not ols? David Booth
Since your dependent variable is Likert-scale and you intend to us the mean score. OLS or multiple linear regression should be best.
If your the IV have sub groups e.g.
Age = in range (14-16, 17-19, 20-22)
Gender = m x f
GPA in range (1.5-2.00, 2.1-2.5, 2.6-3.00, 3.1-3.5, 3.6-4.00, 4.1-4.5, 4.6 and above)
Then you use 3 way ANOVA
But if there are no groups, you can use linear multiply regression
Best Camille Patrice de Leon Orpilla
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