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      Internal consistency and structural validity of the nomophobia questionnaire (NMP-Q) and its translations: A systematic review with meta-analysis

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          Abstract

          Background

          A psychological condition known as NOMOPHOBIA causes individuals to fear losing ability to use or reach their mobile phones. The NMP-Q (nomophobia questionnaire) is a commonly used survey for assessing symptoms related to nomophobia.

          Materials and methods

          We performed a meta-analysis using reliability generalization (RG) on the NMP-Q. Thirteen studies involving 15,929 participants have reported original reliability estimates of the NMP-Q determined through a comprehensive and methodical examination of the available literature.

          Results

          For the total scores, the pooled internal consistency reliability was 0.93 [0.91; 0.95] and for the subscales it ranged from 0.83 to 0.91. Specifically, 0.91 [0.88; 0.93], 0.84 [0.80; 0.88], 0.83 [0.78; 0.88, and 0.83 [0.80; 0.85] for the subscales. Subscale 1 = not being able to communicate; subscale 2 = losing connectedness; subscale 3 = not being able to access information; and subscale 4 = giving up convenience”, respectively. All reported effect sizes are Cronbach's alphas. Structural validity supported a solution of four-factors.

          Conclusions

          NMP-Q has an excellent internal consistency. Structural validity of four factors appears to be vigorous in fitting NMP-Q items. Our recommendation is to require future studies using NMP-Q to provide a reliability estimate based on their own data.

          Highlights

          • NOMOPHOBIA is a condition that leads to individuals experiencing distress when they are unable to use their mobile phones.

          • NMP-Q has an excellent internal consistency.

          • Structural validity of four factors appears to be vigorous in fitting NMP-Q items.

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          Most cited references39

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          Coefficient alpha and the internal structure of tests

          Psychometrika, 16(3), 297-334
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            Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

            Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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              PSYCHOLOGY. Estimating the reproducibility of psychological science.

              Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams.
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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                14 April 2023
                April 2023
                14 April 2023
                : 9
                : 4
                : e15464
                Affiliations
                [a ]Government Hospitals, Manama, Bahrain
                [b ]Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
                [c ]High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia
                [d ]Research Laboratory: Education, Motricity, Sport and Health, EM2S, LR19JS01, University of Sfax, Sfax 3000, Tunisia
                [e ]Laboratory for Industrial and Applied Mathematics, Departments and Statistics, York University, Toronto, ON, Canada
                [f ]Department of Psychiatry & Behavioral Sciences at the University of Washington, Seattle, WA 98195-6560, United States
                Author notes
                []Corresponding author. haitham.jahrami@ 123456outlook.com
                Article
                S2405-8440(23)02671-3 e15464
                10.1016/j.heliyon.2023.e15464
                10148102
                58a3b626-8751-4c9b-8368-cb43b7f4a576
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 21 September 2022
                : 25 March 2023
                : 10 April 2023
                Categories
                Research Article

                cronbach alpha,factor analysis,nomophobia,no-mobile-phone-phobia,reliability generalization

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