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Iran J Psychiatry 2024; 19: 2: 221228Original Articlehttps://doi.org/10.18502/ijps.v19i2.15108Concurrent and Discriminant Validity of the Farsi Translation of the Social Responsiveness ScaleSecond

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How to fill out concurrent and discriminant validity

01

Identify the constructs you want to measure.

02

Select existing measures or tools that assess similar constructs for concurrent validity.

03

Administer the selected measures to the same group of participants.

04

Calculate the correlation between the new measure and the existing measures for concurrent validity.

05

For discriminant validity, ensure that the new measure is distinct from other constructs by assessing the relationships with unrelated constructs.

06

Use statistical techniques such as factor analysis to confirm that the new measure does not correlate highly with unrelated constructs.

Who needs concurrent and discriminant validity?

01

Psychologists and researchers conducting psychological assessments.

02

Test developers seeking to validate new measurement tools.

03

Clinicians wanting to ensure their assessments accurately differentiate between disorders.

04

Academics engaging in research requiring validated measures.

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What is concurrent and discriminant validity?

Concurrent validity refers to the extent to which test scores correlate with scores from another measure assessed at the same time, indicating that both measures are evaluating the same construct. Discriminant validity assesses whether concepts or measurements that are not supposed to be related are actually unrelated, ensuring that the measure is distinct from others.

Who is required to file concurrent and discriminant validity?

Researchers, psychologists, or practitioners who develop or use psychological tests, measures, or assessments are required to demonstrate concurrent and discriminant validity to validate their tools and ensure they are accurately measuring what they intend to.

How to fill out concurrent and discriminant validity?

To fill out concurrent validity, one must collect data from both the new measure and the established measure at the same time, then calculate the correlation between the two sets of scores. For discriminant validity, one must ensure that the new measure is tested against unrelated constructs to confirm that scores do not correlate with these unrelated measures.

What is the purpose of concurrent and discriminant validity?

The purpose of concurrent validity is to establish that a new measurement tool is valid by showing its effectiveness compared to an established tool. Discriminant validity aims to ensure that the measure is accurately capturing a distinct construct rather than overlapping with other unrelated constructs.

What information must be reported on concurrent and discriminant validity?

Researchers must report the correlation coefficients obtained for concurrent validity and provide details on the measures used. For discriminant validity, they should report the lack of correlation with unrelated measures and discuss how these findings support the tool's distinctiveness and validity.

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