Step-By-Step Guide to Calculating Content Validity Index (CVI) For Single Constructs Using Excel

The Content Validity Index (CVI) is a widely used method for assessing the validity of questionnaire items, particularly in educational and social science research. This paper presents a step-by-step tutorial on calculating the CVI for a single construct using Microsoft Excel, making the validation process accessible to researchers with minimal statistical expertise. The methodology includes computing the Item-Level Content Validity Index (I-CVI) and the Scale-Level Content Validity Index (S-CVI), using expert ratings to determine the relevance of questionnaire items. The tutorial demonstrates key Excel functions, such as COUNTIF and AVERAGE, to automate the validity calculation. The findings indicate that while the overall S-CVI/Average (0.875) exceeds the threshold of 0.8, individual I-CVI values revealed areas for potential refinement, highlighting the importance of both item-level and scale-level analysis. This tutorial provides a practical guide for researchers to systematically validate their instruments, ensuring rigor and reliability in questionnaire development.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-01-01
DOI
https://doi.org/10.47772/ijriss.2025.90300135
Citations
7
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
11.86
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article

Step-By-Step Guide to Calculating Content Validity Index (CVI) For Single Constructs Using Excel

Nur Ain Md Lukmanul Hakim, Mohamad Ikram Zakaria, Mohamad Rasidi Pairan
7 citations
International Journal of Research and Innovation in Social Science
Online Learning and Analytics
11.86
article

Step-By-Step Guide to Calculating Content Validity Index (CVI) For Single Constructs Using Excel

Nur Ain Md Lukmanul Hakim, Mohamad Ikram Zakaria, Mohamad Rasidi Pairan
article en
7 citations

Abstract

The Content Validity Index (CVI) is a widely used method for assessing the validity of questionnaire items, particularly in educational and social science research. This paper presents a step-by-step tutorial on calculating the CVI for a single construct using Microsoft Excel, making the validation process accessible to researchers with minimal statistical expertise. The methodology includes computing the Item-Level Content Validity Index (I-CVI) and the Scale-Level Content Validity Index (S-CVI), using expert ratings to determine the relevance of questionnaire items. The tutorial demonstrates key Excel functions, such as COUNTIF and AVERAGE, to automate the validity calculation. The findings indicate that while the overall S-CVI/Average (0.875) exceeds the threshold of 0.8, individual I-CVI values revealed areas for potential refinement, highlighting the importance of both item-level and scale-level analysis. This tutorial provides a practical guide for researchers to systematically validate their instruments, ensuring rigor and reliability in questionnaire development.

International Journal of Research and Innovation in Social ScienceVol. IX(III)
Openalex Percentile: Top 2%
Online Learning and Analytics
11.86
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