We simply want to know if “concussed” intervention subjects’ speech acoustic analysis varies greater than the”healthy” control subjects’ speech acoustic analysis, if yes, then how much. The population statistics for the speech acoustics is unknown. The variation between the control sample and the intervention sample are equal or very similar. Again, which post-hoc tests to use depends on the null hypothese you want to test. These tests are used to test normality and are not typically used as post-hoc tests. I am not sure what sort of KS ad Anderson-Darling post-hoc tests you are referring to. MANOVA is indeed possible, although it may turn out that you need some sort of Hotelling’s T-square test since you only have two samples and unequal sample sizes.Ĥ. With samples of size 17 and 45, you should try to simplify rather than make things too complex, although it may be appropriate since this is a pilot study and the final study may have samples of suitable size.ģ. Also the more complicated the tests, the larger the sample that you will need. It is easy to require tests that are quite complex, testing all possible combinations of variables, but this may not be necessary for your objectives. Before deciding which tests to use, you need to decide specifically what null hypotheses you want to test. three repeats at each visit, then comparing all subsequent visits? It is probably proper to talk of data requirements for SPSS.ġ. I believe this analysis require a MANOVA with repeated measures and a post-hoc KS test and a Anderson-Darling test…is this correct? How do I conduct two temporally different repeated measures i.e. I want to compare the variation of speech acoustic measurements for each of the seven vowels at each point in time. 45) control group speech acoustic measurements are thought to be a normal distribution while the intervention speech acoustic measurements are thought to be non-parametric as compared to the control group. Each of the vowels are spoken three times. There are seven independent variables that are labels (7 vowel spoken by subjects). There are five, dependent variables that are continuous (measurements taken on the seven spoken vowels) the variation is thought to be materially greater than the same dependent variables of the control group. I wish to determine if the variation is the same or about the same between the groups Ho at the first and subsequent examination visits. All subjects have at least two visits, some up to six. Each group speaks seven words, three times in which only the vowel sounds are analyzed. Intervention is 45 concussion subjects (determined by a doctor). I have a pilot study of two independent groups in which the populations are unknown only data is from the control and intervention samples. In this case, do I have to conduct the 3-way ANOVA separately for each DV? I am also considering using 3-way ANOVA as I am interested to see the differences in the factors rather than the effect on the DVs. week or media depth should be categorised as covariates, and what difference would it make other than I could not conduct a post-hoc test since I have fewer factors now. I am confused as to whether some of the factors e.g. I don’t think theoretically there is a correlation within the DVs as it represents removal efficiency of each pollutant by the system.Ģ. I am thinking of using MANOVA since there were more than 2 IVs and 2 DVs. That means I have a total of 36 columns in my study. That is altogether 12 columns for one week and I have the same number of columns for 3 different weeks (Week 0, 10 and 20). The issue is my columns were labelled separately into 4 different types of column (3 replicates for each type), with every column having 4 variations of media depth. I am interested to find the effect of the factors (IVs) on the removal efficiency of the pollutants (DVs). I conducted a phytoremediation experiment with 3 IVs (column type, study duration and media depth) with 5 DVs (N, P, Zn, Cu and Pb). Although I have studied on my own a few of the statistical analysis methods, I am still confused about which method is more suitable and satisfy conditions/assumptions of my study. Thank you for your excellent explanation.
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