Screen Use Measurement Tools
A Mapping of Instruments, Gaps, and Future Directions
Bibliographic Data
| ID | 17820960 |
|---|---|
| Authors | Rinanda Rizky Amalia Shaleha (0000-0001-6448-8461, Pennsylvania State University, corresponding author), Nelson Roque (0000-0003-1184-202X, Pennsylvania State University), Hailey Andrews (Pennsylvania State University), Kristin Calfee (Pennsylvania State University), Soomi Lee (0000-0002-7623-3770, Pennsylvania State University) |
| Year | 2026 |
| Volume | 29 |
| Issue | 3 |
| Pages | 140-150 |
| Publication date | 2026-01-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cyberpsychology Behavior and Social Networking (JOURNAL) |
| Journal identifiers | ISSN: 2152-2715 • E-ISSN: 2152-2723 |
| Publisher | Mary Ann Liebert, Inc (PUBLISHER • US) |
| DOI | 10.1177/21522715261417288 |
| PMID | 41572802 |
| OpenAlex | W7125483913 |
| Language | EN |
| References cited | 63 |
Research on screen usage frequently relies on broad measures of "screen time," which fail to differentiate between various types of activities and their effects. To clarify how digital behavior is defined, we conducted a rapid review and methodological mapping of 36 screen use measurement tools. Three independent coders applied a piloted framework to classify measurement constructs, data collection modality (objective logs, self-, or proxy-report), temporal specificity, framing valence, opportunity cost, dyadic/social context, developmental focus, and evidence of reliability and validity. Interrater agreement was high (Fleiss' Kappa; Gwet's AC1). Most instruments used negatively framed item content, emphasizing impairment, dysregulation, or loss of control, focused on adolescents and young adults, and lacked precision in temporal anchoring. Very few assessed opportunity costs, dyadic use, or included validation against device-logged data. No measure emphasized positive or beneficial aspects of screen engagement. These gaps suggest a need for more conceptually balanced tools that integrate objective tracking with context-sensitive self-report items across the lifespan. We propose a blueprint for future development: improve temporal anchoring (e.g., within-day, weekday vs. weekend), broaden age inclusion, assess social and functional context, and report both reliability and validation against behavioral data. Strengthening measurement will advance efforts to identify when, how, and for whom digital behavior supports or undermines well-being
Blueprint · Data collection · Inter-rater reliability · Psychometrics · Child Development and Digital Technology · Impact of Technology on Adolescents · Technology Use by Older Adults
Do smartphone usage scales predict behavior?
Screen time and young children
A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students
Computing inter‐rater reliability and its variance in the presence of high agreement
A comparison of Cohen’s Kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients
Psychological impacts of “screen time” and “green time” for children and adolescents
Association Between Screen Time and Children’s Performance on a Developmental Screening Test
Social Media Use and Adolescents’ Well-Being
Objectively‐measured and self‐reported smartphone use in relation to surface learning, procrastination, academic productivity, and psychopathology symptoms in college students
On the hermeneutics of screen time
Internet Addiction
Exploring the dimensions of nomophobia
The Compulsive Internet Use Scale (Cius)
Needing to connect
Associations between problematic mobile phone use and psychological parameters in young adults
A Large-Scale Test of the Goldilocks Hypothesis
The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week
Theory and measurement of generalized problematic Internet use
Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan
Smartphone addiction is increasing across the world
The role of impulsivity in actual and problematic use of the mobile phone
Psychological Predictors of Problem Mobile Phone Use
Prevalence of Problematic Mobile Phone Use in British Adolescents
A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use
Objectively measured infant and toddler screen time
Weekday-Weekend Sedentary Behavior and Recreational Screen Time Patterns in Families with Preschoolers, Schoolchildren, and Adolescents
The Conceptual and Methodological Mayhem of “Screen Time”
Reliability of a new measure to assess modern screen time in adults
The development of a questionnaire to assess leisure time screen-based media use and its proximal correlates in children (SCREENS-Q)
Parental factors associated with screen time in pre-school children in primary-care practice
The Accuracy of Self-Reported Internet Use—A Validation Study Using Client Log Data
Smartphones and Social Support
How young children spend their time
Measuring nominal scale agreement among many raters
| Citation velocity | historical |
|---|---|
| Highly cited | No |