Do Gender Differences and Love Styles Affect People's Decision in Selecting Potential Partners

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To study whether gender differences and love styles affect people’s decision in selecting potential partners, Group2 conducted an online survey with 87 participants, which are the students in CUHK. The first part of the survey is the love attitude scales test, which is used to differentiate 6 types of the love styles . Participants needed to rate 42 love items in a 5-point numerical scales. Then participants needed to rate 18 mate selection criteria in a 4-point numerical scales in the second part of the survey, which is used to measure the dependent variables: the mate selection preferences.
There are some weaknesses that we cannot overlook. Firstly, the external validity of this research is low because Group2 only collected data from the CUHK students, which may not be generalize to people in all age range, but unlike what Group2 has presented, age difference indeed affect the love styles (Shulman & Scharf, 2000). The second weakness is the subject bias. Participants may try to be a good subject and conform to the predicted results. They may assume that Group2 are studying the mate selection preferences of different genders and answer the questions according to the predicted results. Moreover, the participants may have evaluation apprehension too. They may think that they need to be selfness and be passionate to their future partners so as not to be valued negatively. Then they may behave as an ideal person they think and answer the questions in a way to be valued as Eros and Agape love styles.
To tackle the first weakness, Group2 can have a sampling with a greater variety of ages so that the survey can show the general trend of the love style of the society across different gender. However, if there is a significant shift of mate selection preference across different ages. It is better to change the age difference as an IV to better reflect the trend. If we analysis the data without manipulate the age difference, then the data may not show any significant differences across different age groups because the data of each group will add noises to each other.
Without doubt, as suggested by Group2, not only age difference, there are also other kind of confounds (e.g. love history, generations, etc.) which may covary with IVs and obviously we cannot change all the items into IVs since it is very complicated. Therefore, to handle the extra noises caused by these EVs, it is recommended to increase the sample size of the survey so as to increase the statistical power.

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