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im having the same issue, did you figure it out?

Yes absolutely. Just make sure to publish any changes before downloading the data.

No. It sounds like your numbering is 0 to 4. If that’s the case (less common than scales starting at 1) you should just use your highest number and subtract your score from 4, so 4 reverse scored would be 0. If your scale is 1 to 4, you would use top score + 1 so it would be 5-4 and that would make your new value 1. Hope that helps!

@@motherofturtles3297 so lets say number is 3, number 3 does not change right? its still 3 is to 3 ?

That depends on your scale. 3 would remain 3 if your scale is 1 to 5. You should watch my video on conceptual reverse scoring.

Hi, I'm not quite sure what you are asking. Are you asking how to code text responses into numbers? If so, in Sheets you should create a new column and then use an IF statement to automate the coding process. Hope that helps!

@@motherofturtles3297 Yeah, you interpreted it right. Thanks a ton and even more for reverse scoring!!

@@kathajain9397 Excellent, and that is a great idea for another video :)

@@motherofturtles3297 Absolutely :))

Hi, I am not positive I understand your question, but I think this is what you are looking for: The main idea behind one-way ANOVA is to compare the variance (or spread) between the different groups to the variance within each group. We want to see if the variability between the group means is significantly greater than the variability within the groups. So for your question, "Is it possible that the within groups is much higher than the between groups?": Yes, this is possible. If the variability within the groups is much larger than the variability between the group means, then this suggests that the group means are not significantly different from each other. In other words, the independent variable (the factor being tested) is not having a significant effect on the dependent variable. "Is it valid?": Yes, it is still valid to perform the one-way ANOVA in this case. Even if the within-group variance is higher than the between-group variance, the ANOVA test can still be used to determine if the group means are significantly different. "Can we still continue to perform ANOVA?": Absolutely. You should still proceed with the one-way ANOVA analysis. The ANOVA test will compare the between-group variance and the within-group variance, and provide a p-value that indicates whether the group means are significantly different or not, regardless of the relative magnitudes of the variances. Hope that helps!

@@motherofturtles3297 Hello, ma'am! May I ask why there are instances where the within-groups sum of squares is larger than the between-groups sum of squares? In articles that I have read, it is stated that this situation implies that the results have no significant difference. However, I have also come across examples in articles, existing studies, and even books where the results show a significant difference (with the within-groups sum of squares being larger than the between-groups sum of squares). What is the reason for this, ma'am? Is there any study/reference that will support it?

Hi Carolina, yes, publish to save the scores but you can just save that for when you publish the whole survey. And yes, I would recommend creating scores for each sub scale.

The examples I use are for my psychology courses but independent and dependent variables are present in any field.

When you download from Qualtrics, you can select storing the randomization from the more options.

Hi Johnny, I don't give out my contact info except to students at my institution but I am happy to direct you to some resources. Do you have some specific questions I can answer? I wish you luck!

Late reply, but yes. You can add media a variety of ways and Qualtrics provides a guide for that here: www.qualtrics.com/support/survey-platform/survey-module/editing-questions/rich-content-editor/insert-media/