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I'm really glad to have found this forum! If anyone is able to help me that I would very grateful. I'm currently testing variables before building a logistical regression. My data set is the National Survey for Wales 2015. I'm building a model that tests for relationships between material deprivation and museum attendance. My hypothesis is that those with higher levels of material deprivation are less likely to have attended a museum in the last 12 months.
The variables are:
Have you attended a museum in the last 12 months? (nominal)
These are the variables being considered for the regression:
Age (at time of interview - given as exact age and a scale variable)
Are you able to save at least £10 a month? (nominal)
Have you accessed services for debt management in the last 12 months? (nominal)
My first question is which statistical test should i use for each?
I'm confident that the test for age is a one-sample t-test. Is that right? Would the others be Chi Square tests?
Am I right in thinking that if the value in the "Sig. (2-tailed)" is less than 0.05, the relationship is statistically significantly and I should include the independent variable in my logistical model?
Thank you so much in advance! I get so confused and scared that I'm not understanding something when doing stats. Your help means so much.
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