MANOVA - Revision history

Admin: /* How is a MANOVA different than a ANOVA? */

2019-12-17T15:34:20Z

‎How is a MANOVA different than a ANOVA?

Sullivan.joseph2050: /* Why MANOVAs are a good test for dissertations */

2019-12-17T03:57:50Z

‎Why MANOVAs are a good test for dissertations

Admin: /* Why MANOVAs are a good test for dissertations */

2019-12-05T21:05:55Z

‎Why MANOVAs are a good test for dissertations

Kilbourn004 at 19:01, 3 December 2019

2019-12-03T19:01:40Z

Admin at 22:17, 4 November 2019

2019-11-04T22:17:16Z

Sheri.prendergast at 11:10, 26 October 2019

2019-10-26T11:10:03Z

Admin at 00:31, 29 August 2019

2019-08-29T00:31:12Z

Admin: Created page with "Multivariate variate analysis of variance (MANOVA) is the statistical procedure of comparing the means of several groups rather than a single group as you would find in an ANO..."

2019-08-29T00:30:54Z

Created page with "Multivariate variate analysis of variance (MANOVA) is the statistical procedure of comparing the means of several groups rather than a single group as you would find in an ANO..."

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Multivariate variate analysis of variance (MANOVA) is the statistical procedure of comparing the means of several groups rather than a single group as you would find in an ANOVA. It is appropriate to use a MANOVA if the IV has 2+ levels and there are 2+ DV. Assumptions for use of MANOVA include: normal distribution. linearity, homogeneity of variances and homogeneity of variances and covariances. (http://userwww.sfsu.edu/efc/classes/biol710/manova/MANOVAnewest.pdf).

''contributed by Raymond Manka''

For example, we may conduct a study where we look at math achievement based on standardized test scores and ELA acheivement based on standardized test scores between students in different socioeconomic groups (low, moderate, high). The two dependent variables would be math achievement vased on standardized test scores and ELA achievement based on standardized test scores. The independent variable is the socioeconomic status with three levels: low, moderate, and high. (Based on a case scenario provided by Dr. Frank Labanca)

Instead of a univariate ''F'' value, we would use a multivariate ''F'' value Wilk's λ.

''contributed by Mary Fernand''

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 A MANOVA differs from ANOVA in that it allows the researcher to analyze data that involve more than one dependent variable.  MANOVA can test hypotheses regarding the effect of one or more independent variables on two or more dependent variables.
-''Contributed by Joseph W. Sullivan
+''contributed by Joseph W. Sullivan''
 ==Why MANOVAs are a good test for dissertations==

← Older revision		Revision as of 03:57, 17 December 2019
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	''contributed by Sheri Prendergast''		''contributed by Sheri Prendergast''
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		+	==How is a MANOVA different than a ANOVA?==
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		+	A MANOVA differs from ANOVA in that it allows the researcher to analyze data that involve more than one dependent variable. MANOVA can test hypotheses regarding the effect of one or more independent variables on two or more dependent variables.
		+
		+	''Contributed by Joseph W. Sullivan

	==Why MANOVAs are a good test for dissertations==		==Why MANOVAs are a good test for dissertations==

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 ==Why MANOVAs are a good test for dissertations==
-Using Dr. Labanca’s notes as a guide, a rationale for using a MANOVA as the statistical test for our dissertations includes the following: 1. A MANOVA is a test that allows us to measure multiple dependent variables together, which is likely given the scope and scale of the quantitative data collection for dissertations; 2. Passing the Box’s M test for significance .05 (Meyers) or .01 (Huberty & Olenjnik), mitigates risk that we’ve committed a Type I error (Labanca, 2019, slides 5 & 12).
+A rationale for using a MANOVA as the statistical test for our dissertations includes the following: 1. A MANOVA is a test that allows us to measure multiple dependent variables together, which is likely given the scope and scale of the quantitative data collection for dissertations; 2. Passing the Box’s M test for significance .05 (Meyers) or .01 (Huberty & Olenjnik), mitigates risk that we’ve committed a Type I error (LaBanca, 2019, slides 5 & 12).
 References:
-Labanca, F. (2019). Multivariate Analysis of Variance (MANOVA)  [PowerPoint slides]. Retrieved from http://moodle.labanca.net/course/view.php?id=4.
+LaBanca, F. (2019). Multivariate Analysis of Variance (MANOVA)  [PowerPoint slides]. Retrieved from http://moodle.labanca.net/course/view.php?id=4.

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 ''contributed by Raymond Manka''
 For example, we may conduct a study where we look at math achievement based on standardized test scores and ELA acheivement based on  standardized test scores between students in different socioeconomic groups (low, moderate, high). The two dependent variables would be math achievement vased on standardized test scores and ELA achievement based on standardized test scores. The independent variable is the socioeconomic status with three levels: low, moderate, and high. (Based on a case scenario provided by Dr. Frank Labanca)
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 ''contributed by Sheri Prendergast''

← Older revision		Revision as of 22:17, 4 November 2019
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	https://www.youtube.com/watch?v=Ik4Dyn8e8vA		https://www.youtube.com/watch?v=Ik4Dyn8e8vA

−	~~"Contributed~~ by Sheri Prendergast"	+	''contributed by Sheri Prendergast''

← Older revision		Revision as of 11:10, 26 October 2019
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	''contributed by Mary Fernand''		''contributed by Mary Fernand''
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		+	Prior calculating a MANOVA (or other statistics) in SPSS, it may be necessary to "clean the data" in order to obtain a good sample of numbers.
		+	Here is a video that discusses how to clean the data in SPSS. While it may be easier to do this prior to importing to SPSS, this video to be a bit long, but helpful in understanding the process.
		+	https://www.youtube.com/watch?v=Ik4Dyn8e8vA
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		+	"Contributed by Sheri Prendergast"
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← Older revision		Revision as of 00:31, 29 August 2019
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−	Multivariate variate analysis of variance (MANOVA) is the statistical procedure of comparing the means of several groups rather than a single group as you would find in an ANOVA. It is appropriate to use a MANOVA if the IV has 2+ levels and there are 2+ DV. Assumptions for use of MANOVA include: normal distribution. linearity, homogeneity of variances and homogeneity of variances and covariances. (http://userwww.sfsu.edu/efc/classes/biol710/manova/MANOVAnewest.pdf).	+	Multivariate variate analysis of variance (MANOVA) is the statistical procedure of comparing the means of several groups rather than a single group as you would find in an ANOVA. It is appropriate to use a MANOVA if the IV has 2+ levels and there are 2+ DV. Assumptions for use of MANOVA include: normal distribution. linearity, homogeneity of variances and homogeneity of variances and covariances. [http://userwww.sfsu.edu/efc/classes/biol710/manova/MANOVAnewest.pdf].

	''contributed by Raymond Manka''		''contributed by Raymond Manka''