Questionnaire Reliability Validity Testing

A questionnaire expresses what it intends to measure and create reproductive results.

A questionnaire is designed to test two basic perspectives: reliability and validity, of the questions in accordance with the topic of research study. Reliability test measures the consistency of the records recorded during the collection phase of analysis with respect to the objective of the research study. It is conducted using a pilot study of the questionnaire where we implement cronbach alpha test to check the internal consistency of the questions in the questionnaire.A validity test measures outcomes at face value, measuring value of content, success prediction and consistency. We test by:

Estimating correlation coefficients
Measuring homogeneity
Administering stability over time
Correlating equal measures
Using cronbach alpha test
Checking the reliability of the questions

Sample output of reliability check using Cronbach alpha test on SPSS software

Cronbach's Alpha is a reliability test conducted within SPSS in order to measure the internal consistency i.e. reliability of the measuring instrument (Questionnaire).The acceptable reliability value is .6. Therefore if your questionnaire’s reliability result is more than .6 then your questionnaire is considered “reliable”.The table above indicates cronbach’s alpha value.The cronbach’s alpha for 4 items is reported as 0. 925 which is greater than acceptable range of 0.6 indicating scale has good internal consistency

The table shows the total sample size or the records on which we performed reliability test also corresponding mean and standard deviations of the variables in consideration.

Our services in testing questionnaire

Depending on the intended purpose and the situational issues that needs to be considered, the type of reliability and validity tests may differ. Some of the general steps involved in our testing services are

Collecting the data

A researcher collects the data required and conducts surveys to incur responses from them. We gather them to form a base on which we will test the questionnaire for its reliability. The number of responses should be a minimum of thirty.

Choosing testing process

There are different testing methods available to test for reliability. Based on the type of survey and variables used, it is either split into half or an equivalent is formed. We measure the internal consistency of the survey by using Cronbach’s alpha.

Running the test

We conduct Cronbach’s alpha measure by employing SPSS software. We input these responses to analyse and scale them and generate the output. The reliability coefficient obtained indicates the internal consistency of the responses.

Reporting the results

We test these individual responses one by one and register them under content validity index (CVI). The relevance of each question is scored on Likert scale in terms of universal agreement.