How can I fix these three issues? - Reliability Analysis & Principal Component Analysis
Posted: Thu Jun 08, 2023 7:27 pm
Hello
While attempting a reliability analysis with my dataset, I encountered two errors. The first error states "Item X has no variance," while the second error indicates "Missing value where True/False needed."
After investigating further, I identified a pattern related to the second error. It occurs when a variable lacks a factor level that appeared in previous variables but is absent in the specific variable being used in the calculation. To address this, I attempted to manually add the missing factor level to the variable via the setup function in "Variables". Unfortunately, this did not resolve the error.
For example, including "Car4_Level 1" in the reliability analysis triggered this issue, along with "Car_Level 1," "Car2_Level 1," and "Car3_Level 1." Only including the last three variables and leaving out "Car4_Level 1" works fine.
I am wondering if there is a way to resolve this issue, as it seems to stem from the missing factor level (5). There should be 6 in total, ranging from 1 to 6.
The second error, "Item X has no variance," occurs when calculating the reliability of "Car_Level4," "Car2_Level4," "Car3_Level4," and "Car5_Level4," with X representing "Car3_Level4." Sadly, I have not yet determined the underlying cause for this error. However, when I conduct an exploration using the "Descriptives" function in "Exploration", the results display a variance.
The missing factor level is also a problem when I do a principal component analysis. I am guessing the problem here could be fixed if I am able to fix the problem of "Missing value where True/False needed"? Yet I am unaware on how that could be done.
If anyone can provide some insight into the possible reasons for these errors, I would be very grateful. Perhaps there is a statistical reason, I am sorry if that is the case. My knowledge is rather limited in this area. I have attached the jamovi file (.omv) to this message for reference.
Best regards,
Deniz
While attempting a reliability analysis with my dataset, I encountered two errors. The first error states "Item X has no variance," while the second error indicates "Missing value where True/False needed."
After investigating further, I identified a pattern related to the second error. It occurs when a variable lacks a factor level that appeared in previous variables but is absent in the specific variable being used in the calculation. To address this, I attempted to manually add the missing factor level to the variable via the setup function in "Variables". Unfortunately, this did not resolve the error.
For example, including "Car4_Level 1" in the reliability analysis triggered this issue, along with "Car_Level 1," "Car2_Level 1," and "Car3_Level 1." Only including the last three variables and leaving out "Car4_Level 1" works fine.
I am wondering if there is a way to resolve this issue, as it seems to stem from the missing factor level (5). There should be 6 in total, ranging from 1 to 6.
The second error, "Item X has no variance," occurs when calculating the reliability of "Car_Level4," "Car2_Level4," "Car3_Level4," and "Car5_Level4," with X representing "Car3_Level4." Sadly, I have not yet determined the underlying cause for this error. However, when I conduct an exploration using the "Descriptives" function in "Exploration", the results display a variance.
The missing factor level is also a problem when I do a principal component analysis. I am guessing the problem here could be fixed if I am able to fix the problem of "Missing value where True/False needed"? Yet I am unaware on how that could be done.
If anyone can provide some insight into the possible reasons for these errors, I would be very grateful. Perhaps there is a statistical reason, I am sorry if that is the case. My knowledge is rather limited in this area. I have attached the jamovi file (.omv) to this message for reference.
Best regards,
Deniz