Learn 6 SAS Psychometric Analysis Procedure

Today, we will look at another type of analysis, called SAS Psychometric Analysis and what are the procedures used in the Psychometric analysis in SAS/STAT. Our focus here will be to understand the procedures: PROC TRANSREG, PROC PRINCOMP, PROC MDS, PROC FACTOR, PROC CORRESP, and PROC IRT with example and syntax.
So, let’s start with SAS/STAT Psychometric Analysis Procedure.

What is SAS Psychometric Analysis?

The term psychometric falls under the field of psychology and education that is devoted to testing, measurement, and assessment of activities that involve the brain. Psychometric tests make use of scientific methods through which it measures a person’s cognitive capabilities and behavioral style.

Psychometric Analysis design to measure candidates’ suitability for a role based on the required personality traits as well as aptitude that the candidate should possess.

Example- GRE exam (Graduate Record Examination), SAT exam (Scholastic Aptitude Test).
SAS/STAT psychometric analysis is the analysis of tests that are psychological in nature as well as measurements to ensure that the obtained scores are reliable and valid. SAS Psychometric analysis can apply to instruments that measure human behavior, attitudes, abilities, or personality traits in order to improve them or make sure that the results being delivered are true.

SAS/STAT Psychometric Analysis Procedures

SAS/STAT uses the following procedures to compute psychometric analysis of a sample data. Let us explore it.

a. PROC IRT

IRT stands for item response theory and is a model that was first proposed in the field of psychometrics for the purpose of ability assessment. It is most widely used in the education field to calibrate and evaluate items in tests and to score subjects on the basis of their abilities, attitudes, or other latent traits.

Today, all major tests like the educational psychological ones are built using IRT, because it uses a methodology that can significantly improve measurement accuracy and reliability. As a result, there are reductions in assessment time and effort.
It has a variety of features such as-

• Enables different items to have different response models.
• Performs multiple-group analysis, with fixed values and equality constraints within and between groups.
• Performs analysis such as the multidimensional and the exploratory.
• Uses the method of maximum likelihood to estimate factor scores.

A Syntax of PROC IRT-

PROC IRT <options>;
Var <variables>;

PROC IRT Example-

proc irt data=sashelp.cars;
var origin;
run;

b. PROC CORRRESP

We have already discussed this procedure in SAS Market Research Procedure Tutorial.

c. PROC FACTOR

We have already discussed this procedure in detail in SAS STAT Multivariate analysis tutorial.

d. PROC MDS

We have already discussed this procedure in SAS Market Research Procedure Tutorial.

e. PROC PRINCOMP

We have already discussed this procedure in detail in SAS STAT Multivariate analysis tutorial.

f. PROC TRANSREG

We have already discussed this procedure in SAS Market Research Procedure Tutorial.
So, this was all about SAS/STAT Psychometric Analysis Tutorial. Hope you like our explanation.

Conclusion

Hence, in this SAS/STAT Tutorial, we study what is Psychometric analysis and how can we use SAS Psychometric analysis Procedures: PROC TRANSREG, PROC PRINCOMP, PROC MDS, PROC FACTOR, PROC CORRESP, and PROC IRT with syntax and example. Furthermore, if you have any doubt/query, feel free to ask in a comment section.