How do you validate a questionnaire?

 Validation of the questionnaire 

Validation (validate a questionnaire) means that the questionnaire should reflect the content to be measured according to its relative weights. Here we will provide the most important dimensions related to Validation.

To conduct Validation of the questionnaire (validate a questionnaire), there are several methods that are easier to do with the sincerity of the arbitrators, considering that the arbitrator is a competent person in this area, and can judge whether the questions in the questionnaire actually measure what was developed to measure it.

The sincerity of arbitrators is one of the most common and easy ways of Validation of the questionnaire, but it is not accurate, because some arbitrators may not be sincere and honest in judging the questionnaire, and the sincerity of the arbitrators is that the researcher selects a number of arbitrators specialized in the field of phenomenon, and asks them to verify the Validation of the questionnaire (validate a questionnaire).

One of the easiest ways to Validation of the questionnaire(validate a questionnaire)  is to reapply it, and there are many other ways to Validation of the questionnaire (validate a questionnaire), and each method has its drawbacks and advantages.

 What is the importance of Validation of the questionnaire as a research tool? 

The Validation of the questionnaire (validate a questionnaire) is one of the most important steps that the researcher should take to test the search tool before applying it to the selected sample.

The Validation of a questionnaire (validate a questionnaire) is conducted in two ways:

1. Present the questionnaire form to a group of professors and specialized experts to view it and record their observations and opinions in the content of the questionnaire.
2. Pilot test on a limited sample similar to the original sample to be researched.

​

 Why Pilot test? 

Regardless of how researchers deal with the design and construction of questionnaires, errors are inevitable.

The Pilot test of the questionnaire is the surest way to Validation of the questionnaire (validate a questionnaire) and reduce the likelihood of errors. People selected for the Pilot test:

It is not necessary to conduct the Pilot test with a representative sample of people. However, it would be useful to select people for the Pilot test who would have a basic understanding of the topics covered by the questionnaire.

 Cognitive approach in Pilot test for questionnaire 

People in the Pilot test sample should read the questionnaire and answer questions and data as if they were taking the survey.

A recommended way to approach the Pilot test is cognitive interviews. The purpose of cognitive interviews is to collect data that reflects the thoughts of respondents.

One of the strongest advantages of using focus groups for the Pilot test is the understand that can be gained about how people interpret the terms of the question.

 Dataset 

Is a collection of data collected for scientific research purposes. The Dataset are represented as a table, database, etc. There are several different ways to collect Dataset:

1. Interview.
2. Questionnaire: This method of collecting Dataset is done by creating forms containing the questions required in targeting a particular category.
3. Notes.
4. Focus Groups.
5. Documents and records: Check the Dataset in databases, meeting minutes, reports, attendance records, financial records, newsletters, etc. This can be an inexpensive way to collect Dataset, but it may be an incomplete Dataset source.

There are electronic sources containing Dataset collections for the purpose of experimenting or studying, including:

• Kaggle: One of the best Dataset collection sites. It also has a large community where you can have a discussion about the Dataset. Kernels contain a large number of realistic Dataset of all shapes, sizes and many different formats. Kernels are also associated with each Dataset. Many different Dataset scientists provided notebooks to analyze a large number of Dataset on site.
• Amazon: This source contains many Datasets in different areas. It also has a search box to help you find the Dataset you're looking for, as well as a description of each Dataset and usage

examples for all Datasets. If you use AWS to experience and develop machine learning, it's useful because Dataset transfer will be very fast because it's local on the AWS network.

 clean Dataset 

The analysis process is not only important but there are very important pre-analysis factors. It is clean Dataset. Clean Dataset is part of its analysis. Today's data is swelled day by day and multiple sources, resulting in errors that reduce Dataset quality.

 What is clean Dataset 

First, we need to know what we mean by clean Dataset, the clean Dataset process is the process of correcting inaccurate records, schedules, or database, and indicates that incomplete, incorrect or inaccurate parts are identified, and then replace, modify, or delete bad or unwanted data.

 What is the use of clean Dataset? 

• Reduce errors.
• Reduce Noise in Dataset.
• Data friendship, when you start clean Dataset, you start to form a relationship between you and the data.

 Ways to 

We can divide methods into:

• Dataset identification phase.
• Error cleaning phase.
• The stage of dealing with lost data.

 Cronbach’s Alpha for the scale of the honesty and stability of the questionnaire 

Cronbach’s Alpha: Is a measure factor or indicator of test stability questionnaire.

Reliability:There are a number of statistical methods to measure stability, the most common of which is the method (Cronbach’s Alpha) which depends on internal consistency and gives an idea of the consistency of the questions with each other and with all the questions in general.

The Cronbach’s Alpha method is most commonly used when compared to the segment in half, since the Cronbach’s Alpha method relies on fragmentation more than one part and frequently measures the correlations between those parts rather than measuring the correlation between only two halves.

Cronbach’s Alpha is also referred to as a measure of internal consistency. The value of the Cronbach’s Alpha thus represents the minimum stability of the questionnaire in the sense that Cronbach’s Alpha is a conservative measure of stability.

 Watch: How to do Validity and reliability for questionnaires 

With greetings: Al - Manara Consulting to help researchers and graduate students