I appreciate how you go back and remind of the importance of resetting the information, as Taylor referenced. This reminder and processing proves helpful.
what should i do when the result is WARNING All absolute deviations are constant within each cell. Levene F statistics cannot be computed. what should i do?
Hello there. I have a situation. I have two variables that are numeric and scale. I want to compare these two to see if they are having the same pattern or not in increasing or decreasing during the time (during 10 years that the years are the rows of my dataset). Can you help me with that? Which analyze can I use in SPSS?
You had run this Levene's test with one independent variable. It did not look like there was a place for a second or additional independent variables to be included. How can we run this check for variance homogeneity when including multiple IVs?
If I understand this correctly, we are using the ANOVA test because it is much simpler, but we are concerned about the results on the Levene's test. Is there any reason why we should look for significance on the ANOVA test when we are only concerned with the homogeneity of variables?
How would you conduct this same test if you have two independent variables? SPSS does not seem to like more than one IV in the 'Factor' when comparing means with a one-way ANOVA.
For more than one independent variable use the General Linear Model > Univariate. This dialog permits the loading of multiple independent variables (referred to as fixed factors in SPSS).
Thank you for your video Doctor. What if there is more than one independent variable? Is the Levene's test necessary for a quantitative study if Shapiro-Wilk is used to test the normality of the variables? Continued blessings
I'm stuck here... I agree with Roberto above whereby >0.05 = fail to reject the null hypothesis (or as some may say accept the null) that there is equal homogeneity of variances. I noticed you used the word heterogeneity of variance. Are you saying that p0.05 indicates homogeneity?
+Adam Wilson I would say the high learning value would be the main reason to manually calculate a statistic. Calculating a statistic with software as usual is considerably faster..
5 лет назад+3
I hardly can hear your voice, it would help if volume level is higher. Except that, your video is excellent!
Why do you fail to reject? I am not understanding at what point for the significance value do you fail to reject or reject he just said it is not significant what does that mean???
The null hypothesis for the Levene's test states there is no difference between the variances (equal variances). If p < .05, this is a statistically significant result, meaning we reject the null hypothesis and assume the variances are different (unequal variances). If p > .05, this result is not statistically significant and we fail to reject the null hypothesis. Because the null hypothesis is retained, we assume homogeneity of variances (equal variances).
Todd, what are your thoughts on doing post-hoc using say Tukey or Dunnett on the Levene transformed, or Brown-Forsythe-Levene transformed? Even if the raw data are normal, I doubt that ADM is normal. ANOVA will be robust but what about the post hoc? Thanks. To clarify, I am hoping to do post-hoc to compare the pairwise variances, not the usual comparison of Means.
This is a lovely video thanks for sharing. I'm trying to run this non-parametric Lavene's test for a group of z-scores. Is this possible? I'm having trouble calculating the mean rank difference. SPSS keeps filling in missing variables with scores, even after I defined missing variables in the data set. Any help would save a grad student some sanity =)
I get the point of the Levene's test now but still unclear as to how this is done when a factorial analysis is required...hmmmm I'm just gonna keep digging...
I appreciate how you go back and remind of the importance of resetting the information, as Taylor referenced. This reminder and processing proves helpful.
Very helpful thankyou you explained in 3 short videos what my instructor couldnt in 2 and a half hours!
Seeing the manual calculation gives me a better appreciation of Levene's test. It was helpful seeing the two methods.
Thanks Dr. Grande, this video helped me to find out what I was missing when trying to interpret a Leven's Test.
This gives me a good understanding of what the Levene test is. Thank you
I like how the explanation went beyond simply using ANOVA, to how Levene's test is actually calculated.
Thanks! It is helpful to see how these are calculated- especially as a global learner.
Interesting video and as always very detailed and great info. Great to know all of this information is available to us!
Thank you very much Dr. Grande. My recommendation is to change something on recording volume settings, because it is very quiet. You do a great job!
Can you run the Levene Test/ANOVA with a string type for my group? It seems to only allow a numeric type to be used.
what should i do when the result is WARNING All absolute deviations are constant within each cell. Levene F statistics cannot be computed. what should i do?
Is there any way to handle this when it is violated for ANCOVA?
Hello there. I have a situation. I have two variables that are numeric and scale. I want to compare these two to see if they are having the same pattern or not in increasing or decreasing during the time (during 10 years that the years are the rows of my dataset). Can you help me with that? Which analyze can I use in SPSS?
You had run this Levene's test with one independent variable. It did not look like there was a place for a second or additional independent variables to be included. How can we run this check for variance homogeneity when including multiple IVs?
I just realized that this is a one-way ANOVA, meaning only one IV. Can such a testing of homogeneity be run for a factorial ANOVA?
Joel, I have the same question! Let me know if you figure it out.
Thanks for this question Joel. I also was wondering the same.
Yes, use the General Linear Model > Univariate for a factorial ANOVA. Select "Homogeneity tests" under "Options" for the Levene's test.
If I understand this correctly, we are using the ANOVA test because it is much simpler, but we are concerned about the results on the Levene's test. Is there any reason why we should look for significance on the ANOVA test when we are only concerned with the homogeneity of variables?
How do I mitigate problems that violate the assumptions for t-tests?
Interpret from the second row.
How would you conduct this same test if you have two independent variables? SPSS does not seem to like more than one IV in the 'Factor' when comparing means with a one-way ANOVA.
For more than one independent variable use the General Linear Model > Univariate. This dialog permits the loading of multiple independent variables (referred to as fixed factors in SPSS).
Dr. Grande thank you. I eventually figured it out as I worked through the homework and some of your other videos. I appreciate the follow-up.
Thank you for your video Doctor. What if there is more than one independent variable? Is the Levene's test necessary for a quantitative study if Shapiro-Wilk is used to test the normality of the variables? Continued blessings
Wouldnt you consider the results statistically significant if they are greater than .05???? Can someone please clarify - THX
Statistical significance is present when p < .05. In a Levene's test, a statistically significant result indicates heterogeneity of variance.
I'm stuck here... I agree with Roberto above whereby >0.05 = fail to reject the null hypothesis (or as some may say accept the null) that there is equal homogeneity of variances. I noticed you used the word heterogeneity of variance. Are you saying that p0.05 indicates homogeneity?
glennsontag c
Is there ever a benefit to performing the test "manually" apart from seeing how it is done?
+Adam Wilson I would say the high learning value would be the main reason to manually calculate a statistic. Calculating a statistic with software as usual is considerably faster..
I hardly can hear your voice, it would help if volume level is higher. Except that, your video is excellent!
Why do you uncheck the statistics at the end?
+Taylor Johnson I unchecked them so that only the output of interest was displayed, namely the F statistic and the p value from the ANOVA.
Why do you fail to reject? I am not understanding at what point for the significance value do you fail to reject or reject he just said it is not significant what does that mean???
The null hypothesis for the Levene's test states there is no difference between the variances (equal variances). If p < .05, this is a statistically significant result, meaning we reject the null hypothesis and assume the variances are different (unequal variances). If p > .05, this result is not statistically significant and we fail to reject the null hypothesis. Because the null hypothesis is retained, we assume homogeneity of variances (equal variances).
The Love Dr (Dr Grande) is in!
Todd, what are your thoughts on doing post-hoc using say Tukey or Dunnett on the Levene transformed, or Brown-Forsythe-Levene transformed? Even if the raw data are normal, I doubt that ADM is normal. ANOVA will be robust but what about the post hoc? Thanks.
To clarify, I am hoping to do post-hoc to compare the pairwise variances, not the usual comparison of Means.
Great video super super helpful - thank you.
I'm glad you found the video useful. Thanks for watching.
This is a lovely video thanks for sharing. I'm trying to run this non-parametric Lavene's test for a group of z-scores. Is this possible? I'm having trouble calculating the mean rank difference. SPSS keeps filling in missing variables with scores, even after I defined missing variables in the data set. Any help would save a grad student some sanity =)
You are very much appreciated
very helpful and insightful
Thank you Todd, are you that one in the picture for reals?
You're welcome, and yes, that is me in the picture.
HOW WOULD YOU KNOW ITS SIGNIFICANT THOUGH??????????????
Very informative, however, I still have a bit of difficulty interpreting the results.
make a video on Snedecor distribution value also
Very helpful!
I get the point of the Levene's test now but still unclear as to how this is done when a factorial analysis is required...hmmmm
I'm just gonna keep digging...
Thank you for this
Love it!
WHY CAN"T YOU SPEAK LOUDER?
great!
plz speak up !!
naol gets