This tutorial explains how you can calculate the Cronbach’s Alpha reliability of your measurement scales using SPSS. Learn • Multiple Regression in... and • Likert Scale Data Anal...
Thanks a lot for taking the time to explain different tests of SPSS! ALL of your videos are so useful! They are proving to be very handy to test my own data for my dissertation 😃
Thank you for explaining everything in details and walked me through every step. Your videos really helped me. I hope all new researchers could watch your videos :)
Dear Dr. Okolie, You demonstrated that we can remove items from our questionnaires if they result in increasing the reliability. I have a similar case where I might need to follow this procedure but I have some questions: 1. Will we not be criticized in our viva when reporting and explaining this in our study? AND Can it be supported by any source? 2. It's assumed that the values of the removed item are not calculated or included when analyzing the questionnaire?! I appreciate it and thank you in advance. 🙏 🙏 🙏
Thank you for the video, it was very useful. My question is what of if the reliability test is less than 0.3 what do think is the cause and how can it be rectify?
Thanks for watching the tutorial. If the reliability test is less than 0.3, it could mean that your data are not showing evidence of meeting reliability assumptions (i.e., difficult to know whether your questionnaire respondents clearly understood the item statements in the questionnaire). One way to remedy this is to ensure that you personalize the item statements, and keep the language pretty simple. You can consider recollecting new data using a questionnaire with item statements described above.
Is it acceptable if I report the l cronbach’s alpha of each sub-scale and then also calculate the reliability of the entire scale and report is as total cronbach’s alpha coefficient ? Please answer me I need help