Questionnaire Description

The Nomophobia Questionnaire (NMP-Q) is a psychometric tool designed to measure an individual’s dependence on their mobile phone and the anxiety that may arise when they are unable to access it. It was developed by Yildirim and Correia (2015) and includes 20 statements that participants are asked to evaluate using a seven-point Likert scale, where 1 corresponds to “Strongly Disagree” and 7 to “Strongly Agree.” The tool covers four main dimensions: inability to communicate, loss of connectivity, inability to access information, and loss of convenience.

Objective

The objective of the questionnaire is to assess nomophobia—that is, the fear or anxiety experienced when a person is unable to use their mobile phone. It examines the psychological impact caused by the absence of communication, information, or technological convenience. The tool is widely used in both research and clinical settings to study individuals’ relationship with technology, understand the levels of anxiety associated with not using a mobile phone, and design interventions for individuals with high levels of dependence.

Scoring

Each of the 20 items on the questionnaire is rated on a scale from 1 to 7. The total score ranges from 20 to 140, with higher scores indicating higher levels of nomophobia. Scores between:

20 and 59 indicate a mild level of nomophobia,

60 and 99 indicate a moderate level, and

100 to 140 indicate a severe level of nomophobia.

Data Usage

The data obtained from completing the questionnaire can be used to describe the level of nomophobia in a population, to examine the relationship between nomophobia and other variables such as anxiety, depression, or sleep quality, and to design targeted interventions. It can also be utilized in comparative studies, e.g., between different age groups or genders.

Data Analysis and Application

The results can be analyzed either at the total score level or by each subscale corresponding to the four main dimensions of nomophobia. Statistical analysis can be conducted using tools such as SPSS or Excel, by calculating means, standard deviations, and performing correlation or difference tests. The evaluation of the results allows for the identification of high-risk groups, understanding the impact of technology on mental health, and supporting the development of prevention policies.

References

Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137.
Bragazzi, N. L., & Del Puente, G. (2014). A proposal for including nomophobia in the new DSM-V. Psychology Research and Behavior Management, 7, 155–160.
Gezgin, D. M. (2018). Understanding patterns for smartphone addiction: Age, sleep duration, social network use and fear of missing out. Psychiatry and Clinical Psychopharmacology, 28(4), 390–396.