Smartphone Addiction and Psychological Well-being Among College Students: The Moderating Role of Gender and Smartphone Usage Duration

Proactive personality is an essential disposition determining students’ readiness to enter the workforce, so a validated instrument is needed to measure it in Indonesia. This study aimed to adapt the Proactive Personality Scale–Short Version (PPS-SV) into the Indonesian language and test its validity and reliability in a student population. A total of 232 students (61 men, 171 women) from a university in Bandung participated in the study. The age range of the participants was 19–25 years old (\textit{M} = 21.7; \textit{SD} = 1.12). Construct validity was tested using confirmatory factor analysis (CFA), while reliability was estimated using Cronbach's alpha and McDonald's omega. The CFA results confirmed the one-factor structure of the PPS-SV and demonstrated good model fit with the data (CFI = .964, TLI = .954, GFI = .994, RMSEA = .069, and SRMR = .036). The scale also showed excellent internal consistency ($\alpha$ = .901; $\omega$ = 0.902). Thus, the Indonesian adaptation of the PPS-SV was judged to have strong psychometric properties, including good construct validity and reliability. This scale can therefore be recommended for measuring proactive personality in students in Indonesia.

Authors

Institutions

Publication Details

Journal
Gadjah Mada Journal of Psychology (GamaJoP)
Published
2025-10-31
DOI
https://doi.org/10.22146/gamajop.95113
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartphone Addiction and Psychological Well-being Among College Students: The Moderating Role of Gender and Smartphone Usage Duration

Martaria Rizky Rinaldi, Ratri Pratiwi, Aditya Putra Kurniawan
Gadjah Mada Journal of Psychology (GamaJoP)
Impact of Technology on Adolescents
article

Smartphone Addiction and Psychological Well-being Among College Students: The Moderating Role of Gender and Smartphone Usage Duration

Martaria Rizky Rinaldi, Ratri Pratiwi, Aditya Putra Kurniawan
article en

Abstract

Proactive personality is an essential disposition determining students’ readiness to enter the workforce, so a validated instrument is needed to measure it in Indonesia. This study aimed to adapt the Proactive Personality Scale–Short Version (PPS-SV) into the Indonesian language and test its validity and reliability in a student population. A total of 232 students (61 men, 171 women) from a university in Bandung participated in the study. The age range of the participants was 19–25 years old (\textit{M} = 21.7; \textit{SD} = 1.12). Construct validity was tested using confirmatory factor analysis (CFA), while reliability was estimated using Cronbach's alpha and McDonald's omega. The CFA results confirmed the one-factor structure of the PPS-SV and demonstrated good model fit with the data (CFI = .964, TLI = .954, GFI = .994, RMSEA = .069, and SRMR = .036). The scale also showed excellent internal consistency ($\alpha$ = .901; $\omega$ = 0.902). Thus, the Indonesian adaptation of the PPS-SV was judged to have strong psychometric properties, including good construct validity and reliability. This scale can therefore be recommended for measuring proactive personality in students in Indonesia.

Gadjah Mada Journal of Psychology (GamaJoP)Vol. 11(2)
Manchester Academic Health Science Centre (GB), University of Manchester (GB), Universitas Mercu Buana Yogyakarta (ID)
Universitas Mercu Buana
Openalex Percentile: Top 55%
Impact of Technology on Adolescents
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.