Questionnaire

The researcher can also establish

• Inter-Item Reliability,

• Item-Total Reliability or

• Cronbach Reliability.

Following the Field Test, the researcher can conduct

• Internal Consistency Reliability,

• Equivalence Reliability and

• Stability Reliability.

All test templates are available with sample data.

AsterWrite uses the Multi-Trait Multi-Method, or MTMM matrix, for data analysis.

Researchers can also use Factor Analysis or Rasch Modeling to complement their analysis.

To top all this, AsterWrite handles the associated Demography data very easily.

AsterWrite uses a graphical method to include or exclude Questionnaire Items.

An Item that does not fit the model can be easily excluded by deselecting it.

Here, you see how AsterWrite does Concurrent Validity.

The student enters two types of Questionnaire designs for Concurrency test.

Each questionnaire is used to collect relevant data.

The data can then be uploaded to AsterWrite.

AsterWrite conducts a suitable analysis and gives the conclusion in a single step.

AsterWrite has awesome methods for Validity and Reliability testing of questionnaires.

Here are some of them.

Demography data can be easily collected together with the questionnaire data.

And it is even more easily displayed from a drop down menu.

Any data provided in the form of Likert Scale can also be analyzed independently.

Shown here is:

Step 1 Create Items and Scale

Step 2 Enter Data

Step 3 Analyze Data

Step 4 Make Conclusions