Search results

1. Correlation

I have a number of studies I am looking at and trying to compare their correlation coefficients ... esentially do a meta-analysis of correlation coefficients. I have been using Practical Meta-analysis by Lipsey and Wilson, but have not made much progress. I've also found some online resources...
2. coefficient discrepancies

I am running a regression with 1 cont. ind. var and 1 cat. ind. var. There are 3 levels to the cat var so I have the lowest level set as the dummy var. It is very apparent that as the cont ind. var increases, so does the Y, and as the level increases in the cat. ind. var, Y increases. If I run...
3. excel to SAS

library work 'c:\documents and settings\desktop\s' data s.sas; infile 'C:\Documents and Settings\Desktop\sas.prn' firstobs=2; input subject salary job jobtitle $yrsatjob gender age manager$; run; I cannot get this code to read in an excel sheet into SAS. I am saving it as a space...
4. Anova test?

I have data for 09,10, and 2011. I have an exertion level for each individual. My indivduals are classified by the shift they work (8 day, 8 night, 12 day, 12 night). What is the test/method to use to tell if there is a difference between the 4 different shift vars in terms of exertion level...
5. testing rates through time

Hello all, this seems like it should be a simple questions but our team cannot find an answer to the question. If I have data set up like the following (the numbers are the percent that react positively to the drug): Drug 2007 2008 2009 2010 A 59 62 61 62 B 50 49 58 61...
6. Proportions through time

Hello all, this seems like it should be a simple questions but our team cannot find an answer to the question. If I have data set up like the following (the numbers are the percent of that fruit rotten): 2007 2008 2009 2010 Fruit A 59 62 61 62 Fruit B 50 49...
7. chi square test

I am running a chi square test, followed by a marascuilo test to compare a binary resonse with categorical variables as the independent variables. The dilema is that my total sample size is 1,000,000 so I am getting chi square values in the thousands, with no major differences in the actual...
8. extremely small sample size

I have a Y variable that is measured in parts per million (ppm). However, it can be converted to a binomial variable comparing against a p=.1. The problem is only 4 samples were collected, and the response of telling them to collect more samples is not possible. Is there any statistical test...
9. Fisher's exact test

I have always learned that if you have a contingency table that violates the chi square assumption of more than 20% of cells having expected count less than 5, the chisq. test is invalid. If that happens use the fisher exact test. SAS is the only program that I have found to support the test...
10. Normality Assumption

Say there is 100 observations, but these observations are equally broken into 2 genders and 5 cities. When creating a qq plot or just checking normality by the S-W statistic, can the 100 observations be tested all at once or does the data need to be broken out by genders or even the five cities?
11. Trend data with categorical independent variables

I have 4 time points (future timepoints will be added shortly) measured for each company (about n=150). Each company is associated with one of 20 regions which is associated with one of six cities. At each time point, a % injured is calculated that was converted to a specific rate. I think...