Examining Internal Consistency of the NEO-FFI in an Indian Context: Evidence from Female Undergraduates in Kolkata

Reliability is a cornerstone of psychological testing, ensuring that instruments consistently measure the constructs they intend to capture. The present study examined the internal consistency reliability of the NEO Five-Factor Inventory using Cronbach’s alpha among a purposive sample of 101 female undergraduate students in Kolkata, India. The NEO-FFI, a 60-item personality assessment designed to measure the Big Five domains—Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness—was administered, and Cronbach’s alpha coefficients were calculated separately for each domain. Results indicated alpha values of .71 for Neuroticism, .60 for Extraversion, .19 for Openness, .61 for Agreeableness, and .71 for Conscientiousness. Compared with the US normative sample of Costa & McCrae, the Indian sample showed consistently lower internal consistency, particularly for Openness. These findings are consistent with prior Indian studies reporting reduced reliability for certain Big Five domains, possibly reflecting cultural orientations, gender-specific response patterns, and limited variance in homogeneous groups. The study underscores the importance of re-examining Western-developed psychometric tools in local contexts and highlights the need for culturally sensitive adaptations of personality inventories.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-18
DOI
https://doi.org/10.5281/zenodo.17168889
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Examining Internal Consistency of the NEO-FFI in an Indian Context: Evidence from Female Undergraduates in Kolkata

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Examining Internal Consistency of the NEO-FFI in an Indian Context: Evidence from Female Undergraduates in Kolkata

article en

Abstract

Reliability is a cornerstone of psychological testing, ensuring that instruments consistently measure the constructs they intend to capture. The present study examined the internal consistency reliability of the NEO Five-Factor Inventory using Cronbach’s alpha among a purposive sample of 101 female undergraduate students in Kolkata, India. The NEO-FFI, a 60-item personality assessment designed to measure the Big Five domains—Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness—was administered, and Cronbach’s alpha coefficients were calculated separately for each domain. Results indicated alpha values of .71 for Neuroticism, .60 for Extraversion, .19 for Openness, .61 for Agreeableness, and .71 for Conscientiousness. Compared with the US normative sample of Costa & McCrae, the Indian sample showed consistently lower internal consistency, particularly for Openness. These findings are consistent with prior Indian studies reporting reduced reliability for certain Big Five domains, possibly reflecting cultural orientations, gender-specific response patterns, and limited variance in homogeneous groups. The study underscores the importance of re-examining Western-developed psychometric tools in local contexts and highlights the need for culturally sensitive adaptations of personality inventories.

Zenodo (CERN European Organization for Nuclear Research)
University College for Women (IN)
Gender equality
Openalex Percentile: Top 32%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.