Your data is binary in form and hence analysis is to be done accordingly.

The analysis of binary data also involves goodness-of-fit tests of a sample of binary variables to a theoretical distribution, as well as the study of 2×2 contingency test.

Hello Emily

Before developing any analysis:

1. The validity and reliability measures could be developed for the whole questionnaire or for each dimension of the questionnaire .

2. Reliability consists of several measures:

Item alpha reliability, Item alpha reliability if item deleted and split-half reliability assess the internal consistency of the items in a questionnaire – that is, do the items tend to be measuring much the same thing?

3. Several authors suggest employing the following four steps to effectively evaluate content validity: 1) identify and outline the domain of interest, 2) gather resident domain experts, 3) develop consistent matching methodology, and 4) analyze results from the matching task.

4. Several series of steps in which to follow when pursuing a construct validation study: 1) generate hypotheses of how the construct should relate to both other constructs of interest and relevant group differences, 2) choose a measure that adequately represents the construct of interest, 3) pursue empirical study to examine the relationships hypothesized, and 4) analyze gathered data to check hypothesized relationships and to assess whether or not alternative hypotheses could explain the relationships found between the variables.

5.Criterion validity refers to the ability to draw accurate inferences from test scores to a related behavioral criterion of interest. This validity measure can be pursued in one of two contexts: predictive validity or concurrent validity. In predictive validity, researchers are interested in assessing the predictive utility of an instrument.

Regards,

Zuhair

In addition, for practical side, please refer to:

· Landau, S. and Everitt, B. S.(2004). A Handbook of Statistical analyses using SPSS.

· Howitt, D. and Cramer, D.(2008). Introduction to SPSS.

· Z. A. Al-Hemyari and A. M. Al-Sarmi (2016). Validity and Reliability of Students and Academic Staff’s Surveys to Improve Higher Education. Educational Alternatives, Journal of International Scientific Publications, Vol.14, pp. 242-263.

Regards,

Zuhair

You have a binary dependent variable. I don't know if you have any independent or exogenous variables like age, education, income, etc. The use of contingency tables for chi-squared statistic is simple but has its limitations. For a more meaningful and effective analysis, use multivariate regression analysis.