Related Experiment Video
Updated: Apr 2, 2026

05:42
An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
Published on: October 5, 2020
3.8K
[Development of a New Scale for Gauging Smartphone Dependence]
Masahiro Toda1, Nobuhiro Nishio, Tatsuya Takeshita
1Department of Public Health, Wakayama Medical University, Wakayama, Japan.
Nihon Eiseigaku Zasshi. Japanese Journal of Hygiene
|September 29, 2015
Summary
Researchers developed the Wakayama Smartphone-Dependence Scale (WSDS) to measure problematic smartphone use. This reliable and valid scale helps assess excessive smartphone engagement and its impact on daily life.
Area of Science:
- Psychology
- Human-Computer Interaction
- Digital Well-being
Background:
- Smartphone dependence is a growing concern.
- Existing tools may not adequately capture the nuances of problematic smartphone use.
Purpose of the Study:
- To develop and validate a new scale for measuring smartphone dependence.
- To assess the reliability and validity of the proposed scale.
Main Methods:
- A prototype scale was administered to 133 medical students.
- Exploratory factor analysis was used to refine scale items.
- Likert scale responses were analyzed for reliability and validity.
Main Results:
- The Wakayama Smartphone-Dependence Scale (WSDS) was developed with 21 items across 3 subscales.
- Subscales cover internet communication immersion, time displacement, and inattentive use.
- Reliability coefficients (Cronbach's alpha) ranged from 0.79 to 0.88, indicating strong internal consistency.
Conclusions:
- The WSDS is a reliable and valid instrument for assessing smartphone dependence.
- The scale can be a useful tool for researchers and clinicians studying problematic smartphone use.
Related Concept Videos
Schemas
12.5K
A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
12.5K
Sample Proportion and Population Proportion
7.1K
Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
7.1K

