UK University Students Needed For Study

⚠️ Content Warning:
This study includes questions about sexual violence, including rape myth acceptance, which some may find distressing. Please participate only if you feel comfortable doing so.

🧠 UK University Students Needed for Research Study on Rape Myth Acceptance and Gender Norms

💻 Take part in a short online survey (10-15 mins)
🎓 Open to current UK university students
📢 Help advance research on gender attitudes and sexual violence

Hi,

My name is Helin Gunes and I am currently recruiting participants for my MSc Forensic Psychology Course Dissertation at Coventry University.

What is the study about?
I am currently inviting current UK university students to take part in a research study exploring the relationship between traditional gender role attitudes and beliefs about sexual violence, specifically rape myth acceptance. The study also aims to examine the potential influence of gender on this relationship.

Why is this important?
Your input will help researchers better understand the beliefs that shape attitudes around sexual violence. This research could inform educational programs, policies, and interventions aimed at reducing victim-blaming and promoting gender equality on university campuses. Participation is entirely voluntary.

What Participation Involves
Participants will be asked to complete an online questionnaire, which will take approximately 20 minutes to complete. The questions are related to gender norms and views on sexual violence. The topic and questions may be of a sensitive nature to some. Please take part at your own precaution. All participation is voluntary.

Who can take part?
• Current UK University Students
• Aged 18 or older
• English speakers, as the questionnaires will be administered in English

The Link for the survey is below:
https://app.onlinesurveys.jisc.ac.uk/s/coventry/exploring-the-relationship-between-gender-norms-and-rape-myths-

🔒 All responses are anonymous
💡 Ethical approval granted by Coventry University (Ethics ID: P185927)
📈 Data used for academic research only

Thank you for your time and commitment.

Reply 1

Trinculo

This survey is everything that is wrong with social sciences.

Inappropriate use of Likert scales with no explanation of how they should be interpreted.

Eg:
Q6 "Although most women wouldn’t admit it, they generally find being physically forced into sex a real ‘‘turn-on”.

What if you disagree with the statement generally, but think that in a small number of cases it might be true? Are you slightly agreeing or disagreeing or neutral? All three responses can be interpreted to the same outcome.

Q9 "Women who are caught having an illicit affair sometimes claim that it was rape."

Again - What if you believe that women caught in an affair almost always claim as such? Any response is valid and your data is meaningless. Should you answer "I strongly agree" because you think it is more prevalant than the question; should you answer "I strongly disagree" for the same reason (you believe the question to be non-representative), or should you be neutral because you agree with the sentiment but not the extent?

Same with Q11.

How can you try and do serious academic study if the data collection methods have such obvious validity issues? This is like doing a chemistry experiment and if your solution changed colour, that is a successful reaction, but if it didn't change colour, that is also a successful reaction.

If you want to ask these questions, you can't have half statements linked to Likert Scales. For any kind of credible data, it would have to be:

"How much responsibility does a woman have for being assaulted if she has consumed a small quantity of alcohol?" Then you go with 1 - not at all, up to 5 - entirely responsible.

Then you repeat the question with larger quantities of alcohol all the way up to completely intoxicated, and also having consumed no alcohol.

The problem is that you know what question you are asking - but you do not know, and have no way of knowing what the person you have asked thinks you mean and how they are going to answer.

Reply 2

renee.k

Original post

by Trinculo

This survey is everything that is wrong with social sciences.
Inappropriate use of Likert scales with no explanation of how they should be interpreted.
Eg:
Q6 "Although most women wouldn’t admit it, they generally find being physically forced into sex a real ‘‘turn-on”.
What if you disagree with the statement generally, but think that in a small number of cases it might be true? Are you slightly agreeing or disagreeing or neutral? All three responses can be interpreted to the same outcome.
Q9 "Women who are caught having an illicit affair sometimes claim that it was rape."
Again - What if you believe that women caught in an affair almost always claim as such? Any response is valid and your data is meaningless. Should you answer "I strongly agree" because you think it is more prevalant than the question; should you answer "I strongly disagree" for the same reason (you believe the question to be non-representative), or should you be neutral because you agree with the sentiment but not the extent?
Same with Q11.
How can you try and do serious academic study if the data collection methods have such obvious validity issues? This is like doing a chemistry experiment and if your solution changed colour, that is a successful reaction, but if it didn't change colour, that is also a successful reaction.
If you want to ask these questions, you can't have half statements linked to Likert Scales. For any kind of credible data, it would have to be:
"How much responsibility does a woman have for being assaulted if she has consumed a small quantity of alcohol?" Then you go with 1 - not at all, up to 5 - entirely responsible.
Then you repeat the question with larger quantities of alcohol all the way up to completely intoxicated, and also having consumed no alcohol.
The problem is that you know what question you are asking - but you do not know, and have no way of knowing what the person you have asked thinks you mean and how they are going to answer.