Questionnaires hypothesis testing

Analysis will then probably progress to hypothesis testing — looking to see whether the answer provided to one question influences the pattern of answers to another question. As so many questionnaire data are nominal scale, contingency chi-tests tend to dominate. 

A chi-square test was also applied to test the problems arising from the conversion process dependent on the intensity level of farming before conversion. The questionnaires were divided into three categories, namely rather intensive , rather extensive and virgin . The null-hypothesis stated that no difference existed between the different farming levels over the categories before conversion. 

KMO and Bartlett s tests of the questionnaire show that the value of KMO of the questionnaire is 0.701, more than 0.70, and the Bartlett sphere test shows the value of 2 is 4601.317, degree of freedom is 1770, the significance probability P equals to 0.00, less than 0.05, rejecting null hypothesis, suggesting the existence of a common factor in overall correlation matrix. Factor analysis is suitable. 

The completed questionnaires were examined by an administrative assistant who did not participate in the individual assessments. Positive questionnaire respondents who indicated frequent solvent abuse on the questionnaire (and their controls) were scheduled for individual assessment before those who indicated that they had abused solvents less often. This was done in order to ensure that as many frequent abusers as possible were tested in the time available at each school (usually not more than a week) and thus to enable the study to test the null hypothesis (of no neuropsychological impairment due to solvent abuse) at the high frequency end of the normal spectrum of abuse. 

---