I’m currently comparing perceived career barriers among three groups: students, faculty, and industry professionals. While I used the same survey questionnaire with a Likert scale (e.g., “Job satisfaction is important when deciding careers”), I noticed that industry participants generally responded more negatively compared to the other two groups. For instance, the average ratings were 6.2/7 for students, 6.1/7 for faculty, and 4.89/7 for industry professionals across all survey items.

Given these baseline differences, I’m concerned that a simple comparison of means might not yield meaningful insights. Instead, I’m considering focusing on rankings (e.g., identifying which barriers are most important to students vs. industry professionals). In this case, what would be the most appropriate analytical method to use?

I recall seeing a paper that took a similar approach, but despite hours of searching, I haven’t been able to find it. Anyone knows a good paper which took a similar approach?

I’m currently comparing perceived career barriers among three groups: students, faculty, and industry professionals. While I used the same survey questionnaire with a Likert scale (e.g., “Job satisfaction is important when deciding careers”), I noticed that industry participants generally responded more negatively compared with the other two groups. For instance, the average ratings were 6.2/7 for students, 6.1/7 for faculty, and 4.89/7 for industry professionals across all survey items.

Given these baseline differences, I’m concerned that a simple comparison of means might not yield meaningful insights. Instead, I’m considering focusing on rankings (e.g., identifying which barriers are most important to students vs industry professionals). In this case, what would be the most appropriate analytical method to use?

I recall seeing a paper that took a similar approach, but despite hours of searching, I haven’t been able to find it. Anyone knows a good paper which took a similar approach?

I’m currently comparing perceived career barriers among three groups: students, faculty, and industry professionals. While I used the same survey questionnaire with a Likert scale (e.g., “Job satisfaction is important when deciding careers”), I noticed that industry participants generally responded more negatively compared to the other two groups. For instance, the average ratings were 6.2/7 for students, 6.1/7 for faculty, and 4.89/7 for industry professionals across all survey items.

Given these baseline differences, I’m concerned that a simple comparison of means might not yield meaningful insights. Instead, I’m considering focusing on rankings (e.g., identifying which barriers are most important to students vs. industry professionals). In this case, what would be the most appropriate analytical method to use?

I recall seeing a paper that took a similar approach, but despite hours of searching, I haven’t been able to find it. Anyone knows a good paper which took a similar approach? Any guidance or suggestions would be greatly appreciated!

Thank you!

I’m currently comparing perceived career barriers among three groups: students, faculty, and industry professionals. While I used the same survey questionnaire with a Likert scale (e.g., “Job satisfaction is important when deciding careers”), I noticed that industry participants generally responded more negatively compared to the other two groups. For instance, the average ratings were 6.2/7 for students, 6.1/7 for faculty, and 4.89/7 for industry professionals across all survey items.

Given these baseline differences, I’m concerned that a simple comparison of means might not yield meaningful insights. Instead, I’m considering focusing on rankings (e.g., identifying which barriers are most important to students vs. industry professionals). In this case, what would be the most appropriate analytical method to use?

I recall seeing a paper that took a similar approach, but despite hours of searching, I haven’t been able to find it. Anyone knows a good paper which took a similar approach?