Hi, I really need help knowing how to analyse my data as I am lost.

My questionnaire has 24 questions.

The first 22 questions use a 5 point Likert scale.

The first 10 questions are related to motivations to engage in high risk adventure sport (eg: rock climbing, skiing etc). However based on Ewert et al's (2013) study ("Beyond" because its there), motivation is split into 3 constructs. 4 questions for sensation seeking motives, 3 questions for social motives and 3 questions for self-image motives. Then the next 12 questions are to understand willingness to engage in high risk adventure sport.

I also want to test the effect of gender.

In addition, I have two questionnaires - both are the same but they start with different videos to test mortality salience - one video is a control showing nature, the other is a video on death related to coronavirus.

The aim is to test the following hypotheses:

H1: Sensation seeking positively affects (increases) willingness to engage in high-risk adventure sport.

H2: Social position positively affects (increases) willingness to engage in high-risk adventure sport.

H3: Self-image positively affects (increases) willingness to engage in high-risk adventure sport.

And then also to compare the questionnaires, to see if mortality salience influences motivations/willingness to engage.

I have done a pilot test questionnaire and tested the reliability of the 3 motivation constructs and willingness construct. Do I need to do anything else before the proper questionnaire?

Honestly, any advice is appreciated.

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