Hi i have been given an experiment paper on personality, in this we have to come up with an updated version of Eysencks (EPI) questionnaire. This is to measure extroversion only ,we are measuring concurrent validity. Im having difficult in answering the co varibles which is my (IV)/(DV), Please help .

Many thanks tim

Hi Tim! Sure, I can help you with that. To answer your question, we need to understand the concepts of independent variable (IV), dependent variable (DV), and concurrent validity.

The independent variable (IV) refers to the variable that you are manipulating or controlling in your experiment. In this case, since you are creating an updated version of the Eysenck Personality Inventory (EPI) questionnaire, your IV would involve the changes or modifications you are making to the questionnaire.

The dependent variable (DV), on the other hand, is the variable that you are measuring or observing to see how it is affected by the IV. In this case, since you are measuring extroversion, your DV would be the participants' scores on the extroversion scale of the updated EPI questionnaire.

Concurrent validity is a type of validity that assesses how well a measure (in this case, the updated EPI questionnaire) correlates with another measure that is known to be valid. So, in order to assess the concurrent validity of your updated EPI questionnaire, you would need to compare it with another established measure of extroversion. This would help determine if your updated questionnaire measures extroversion accurately.

To answer the question about the co-variables, it seems like you might be talking about confounding variables. Confounding variables are variables that can influence the relationship between the IV and DV, making it difficult to determine if the observed effects are solely due to the IV. In your case, some potential confounding variables could be age, gender, or cultural background of the participants.

To address confounding variables, you would need to ensure that your participants are representative and cover a range of age groups, genders, and cultural backgrounds. You can then statistically control for these variables in your analysis to account for their potential impact on the relationship between the IV (updated EPI questionnaire) and the DV (extroversion scores).

I hope this helps clarify the concepts and how they relate to your experiment on evaluating concurrent validity. Good luck with your research! Let me know if you have any more questions.