In one case I found that

The idea of this test is to divide the dataset into a number Nbins of bins and comapre the values: 1. pieces of data counted in each bin, with 2. expected number of pieces of data in each bin based on the samples standard deviation, mean and, assumed, normal distribution.

The rationale for using df = Nbins-1-2 = Nbins-3, is that there are two parameters (samsple standard deviation and mean) that are used to obtain the value of the observed chi2. Hence the -2.

Could anyone clarify the matter? Should I use Nbins-1 or Nbins-3?

Thanks a lot,

R ]]>

I am using four scenarios with each secnario differing in the severity of its illegality from blatant illegal to a gray area issue.

For each scenario respondents have different options ranging from "do nothing", via "change the department", "report the issues anonymously", to "becoming a whistleblower". For each option I want to give respondents the chance to select from a five point Likert scale ranging from strongly disagree to strongly agree. In other words the options are NOT mutually exclusive.

I am now looking at initial survey results which I want to use for validating my measures. My IVs factor very nicely and I get good internal and external validity. But the DVs are all over the place. My hope was that I would get factors around certain types of behavior (do nothing, quit, report anonymously, whistleblow). But that does not work out. Instead I get complete and utter chaotic factors for my DVs. :-( I understand why (the four scenarios differ in terms of illegality). But is there a suggestion as what I can do to get my wished for results namely several scenarios, each with several options, each with 5 point likert scale options? ]]>

I've got some data that contains dichotomous independent variables and ordinal dependent variables. As a result, I think the only test that I can run would be a mann-whitney test. My issue is that of the two dichotomized groups (i.e. male/female) the sample sizes are not the same. One's 300 and the other is 109...

This is going to be a problem is it not? What can I do to fix it.

Thanks for your help.

T ]]>