Hi everyone!

I have to analyze the results of a questionnaire for my thesis with SPSS and have a problem: in my questionnaire I had 4 conditions and every person was randomly assigned to one of the conditions. Now, to understand if there is a correlation between the conditions, I have to run a Chi-Square analysis of independence for all binary outcomes, but the test doesn't work. When I try to run the Chi-sqaure test I get the warning "The crosstabulation of Control Condition 1 * Condition 2 is empty.". I suppose because as every participant was assigned to a different condition, the responses are in different rows for each condition (see attachment: the 4 conditions are MQ01, MQ02, MQ03 and MQ04).

Could please someone help me to solve the problem? Thank you!

The warning message suggests that there is an empty crosstabulation, which can occur if there are no overlapping categories between the two variables being analyzed. In your case, this could be because each participant was assigned to a different condition, resulting in separate rows for each condition and no overlap in responses between conditions.

To address this problem, you may need to restructure your data in a way that allows for meaningful comparisons between the conditions. 

I might suggest you perform separate analyses: Instead of running a Chi-Square analysis of independence across all conditions simultaneously, you could perform separate Chi-Square analyses for each pair of conditions. This would involve comparing Condition 1 with Condition 2, Condition 1 with Condition 3, Condition 1 with Condition 4, Condition 2 with Condition 3, Condition 2 with Condition 4, and Condition 3 with Condition 4. This approach allows you to examine the relationships between pairs of conditions individually.

I hope this clarifies things for you

------------------------------
Youssef Sbai Idrissi
Software Engineer

Original Message:
Sent: Wed June 28, 2023 08:32 AM
From: Elisabetta Podetti
Subject: the crosstabulation (chi square) is empty

Hi everyone!

I have to analyze the results of a questionnaire for my thesis with SPSS and have a problem: in my questionnaire I had 4 conditions and every person was randomly assigned to one of the conditions. Now, to understand if there is a correlation between the conditions, I have to run a Chi-Square analysis of independence for all binary outcomes, but the test doesn't work. When I try to run the Chi-sqaure test I get the warning "The crosstabulation of Control Condition 1 * Condition 2 is empty.". I suppose because as every participant was assigned to a different condition, the responses are in different rows for each condition (see attachment: the 4 conditions are MQ01, MQ02, MQ03 and MQ04).

Could please someone help me to solve the problem? Thank you!

------------------------------
Elisabetta Podetti
------------------------------

Thank you very much! I was already thinking of comparing them separately, but how can I restructure the data, before I do the separate comparison? Is there a way to do it? Thank you very much.

------------------------------
Elisabetta Podetti
------------------------------

Original Message:
Sent: Wed June 28, 2023 08:49 AM
From: Youssef Sbai Idrissi
Subject: the crosstabulation (chi square) is empty

The warning message suggests that there is an empty crosstabulation, which can occur if there are no overlapping categories between the two variables being analyzed. In your case, this could be because each participant was assigned to a different condition, resulting in separate rows for each condition and no overlap in responses between conditions.

To address this problem, you may need to restructure your data in a way that allows for meaningful comparisons between the conditions. 

I might suggest you perform separate analyses: Instead of running a Chi-Square analysis of independence across all conditions simultaneously, you could perform separate Chi-Square analyses for each pair of conditions. This would involve comparing Condition 1 with Condition 2, Condition 1 with Condition 3, Condition 1 with Condition 4, Condition 2 with Condition 3, Condition 2 with Condition 4, and Condition 3 with Condition 4. This approach allows you to examine the relationships between pairs of conditions individually.

I hope this clarifies things for you

------------------------------
Youssef Sbai Idrissi
Software Engineer

Original Message:
Sent: Wed June 28, 2023 08:32 AM
From: Elisabetta Podetti
Subject: the crosstabulation (chi square) is empty

Hi everyone!

I have to analyze the results of a questionnaire for my thesis with SPSS and have a problem: in my questionnaire I had 4 conditions and every person was randomly assigned to one of the conditions. Now, to understand if there is a correlation between the conditions, I have to run a Chi-Square analysis of independence for all binary outcomes, but the test doesn't work. When I try to run the Chi-sqaure test I get the warning "The crosstabulation of Control Condition 1 * Condition 2 is empty.". I suppose because as every participant was assigned to a different condition, the responses are in different rows for each condition (see attachment: the 4 conditions are MQ01, MQ02, MQ03 and MQ04).

Could please someone help me to solve the problem? Thank you!

------------------------------
Elisabetta Podetti
------------------------------

Thank you very much! I was already thinking of comparing them separately, but how can I restructure the data, before I do the separate comparison? Is there a way to do it? Thank you very much.

------------------------------
Elisabetta Podetti

Original Message:
Sent: Wed June 28, 2023 08:49 AM
From: Youssef Sbai Idrissi
Subject: the crosstabulation (chi square) is empty

The warning message suggests that there is an empty crosstabulation, which can occur if there are no overlapping categories between the two variables being analyzed. In your case, this could be because each participant was assigned to a different condition, resulting in separate rows for each condition and no overlap in responses between conditions.

To address this problem, you may need to restructure your data in a way that allows for meaningful comparisons between the conditions. 

I might suggest you perform separate analyses: Instead of running a Chi-Square analysis of independence across all conditions simultaneously, you could perform separate Chi-Square analyses for each pair of conditions. This would involve comparing Condition 1 with Condition 2, Condition 1 with Condition 3, Condition 1 with Condition 4, Condition 2 with Condition 3, Condition 2 with Condition 4, and Condition 3 with Condition 4. This approach allows you to examine the relationships between pairs of conditions individually.

I hope this clarifies things for you

------------------------------
Youssef Sbai Idrissi
Software Engineer

Original Message:
Sent: Wed June 28, 2023 08:32 AM
From: Elisabetta Podetti
Subject: the crosstabulation (chi square) is empty

Hi everyone!

I have to analyze the results of a questionnaire for my thesis with SPSS and have a problem: in my questionnaire I had 4 conditions and every person was randomly assigned to one of the conditions. Now, to understand if there is a correlation between the conditions, I have to run a Chi-Square analysis of independence for all binary outcomes, but the test doesn't work. When I try to run the Chi-sqaure test I get the warning "The crosstabulation of Control Condition 1 * Condition 2 is empty.". I suppose because as every participant was assigned to a different condition, the responses are in different rows for each condition (see attachment: the 4 conditions are MQ01, MQ02, MQ03 and MQ04).

Could please someone help me to solve the problem? Thank you!

------------------------------
Elisabetta Podetti
------------------------------