I have a questionnaire with five Likert questions within it (I thought I had seven, but on reflection, the options for two of these questions are not Likert scale).

Of these questions, there are 3 categories;

x2 questions look at the reach of the product (1 = heard of it, 2 = seen it use)

x1 question asking about the confidence of using the product

x2 questions about COVID (1 = impact on your work, 2= impact on your development)

when I look at similar research papers they have used Chi-squared to analyse their Likert data., However, Dr Google always points me in the direction of statistical research papers (that are well above my head!) that say, maybe use Mann-Whitney-Wilcoxon or t test (or both).

My dependant variables will be demographic information, i.e. age vs confidence using product, years’ experience vs reach of product etc.

My questions are (I'm aware of the debate of whether Likert is ordinal or interval, and thus whether you should use parametric and non-parametric…. but I am also aware that there is no definitive answer for this debate)

1 - do I analyse the questions individually, or group them as “one” if they have a pair? I believe Likert should technically ask "the same" type of question a few times in different ways

2 - based on question one, what test to use for Likert analysis