PMID- 29757688 OWN - NLM STAT- MEDLINE DCOM- 20200327 LR - 20230912 IS - 1097-9891 (Electronic) IS - 0095-2990 (Linking) VI - 45 IP - 1 DP - 2019 TI - The Self-perception of Text-message Dependency Scale (STDS): Psychometric update based on a United States sample. PG - 42-50 LID - 10.1080/00952990.2018.1465572 [doi] AB - BACKGROUND: Some have suggested that text messaging is an addictive behavior. However, this characterization is uncertain, partly due to lack of well-validated measures of text messaging attitudes and behaviors. One standard instrument for measuring text messaging attitudes and behaviors is the Self-perception of Text-message Dependency Scale (STDS), though the psychometric properties of this scale have only been examined with a sample of Japanese youth. OBJECTIVES: The primary objective of this study was to evaluate the STDS in the United States to determine its utility as a measure of text messaging dependence. We were interested in examining the factor structure and determining the extent to which this scale would correlate with two important outcome measures: motor vehicle accidents (MVAs) and moving violations. METHODS: We analyzed data from 468 adults (age 18-74; 274 women) recruited via Amazon's Mechanical Turk (mTurk) service. Participants completed the STDS and provided information about their driving-related incidents in the past year. RESULTS: First we performed a confirmatory factor analysis, which supported the instrument's original factor structure. Then we tested the relationship between scores on the STDS and two important variables, MVAs and moving violations. We found that the STDS significantly correlated with both MVAs and moving violations. CONCLUSION: The present study confirms that the STDS is a potentially useful instrument for studying texting dependence in the United States and with adults of all ages. The instrument may be particularly useful in predicting motor vehicle outcomes. FAU - Liese, Bruce S AU - Liese BS AUID- ORCID: 0000-0001-9019-3173 AD - a Department of Psychology , University of Kansas , Lawrence , KS , USA. FAU - Benau, Erik M AU - Benau EM AUID- ORCID: 0000-0002-8215-6628 AD - a Department of Psychology , University of Kansas , Lawrence , KS , USA. FAU - Atchley, Paul AU - Atchley P AD - a Department of Psychology , University of Kansas , Lawrence , KS , USA. FAU - Reed, Derek AU - Reed D AD - b Department of Applied Behavioral Science , University of Kansas , Lawrence , KS , USA. FAU - Becirevic, Amel AU - Becirevic A AD - b Department of Applied Behavioral Science , University of Kansas , Lawrence , KS , USA. FAU - Kaplan, Brent AU - Kaplan B AD - b Department of Applied Behavioral Science , University of Kansas , Lawrence , KS , USA. LA - eng GR - T32 MH016434/MH/NIMH NIH HHS/United States PT - Journal Article DEP - 20180514 PL - England TA - Am J Drug Alcohol Abuse JT - The American journal of drug and alcohol abuse JID - 7502510 SB - IM MH - Accidents, Traffic/*statistics & numerical data MH - Adolescent MH - Adult MH - Aged MH - Automobile Driving/*statistics & numerical data MH - Behavior, Addictive/diagnosis/*epidemiology/psychology MH - Crime/statistics & numerical data MH - Female MH - Humans MH - Japan MH - Male MH - Middle Aged MH - Psychometrics MH - Self Concept MH - Text Messaging/*statistics & numerical data MH - United States/epidemiology MH - Young Adult OTO - NOTNLM OT - Mechanical Turk OT - Texting addiction OT - behavioral addiction OT - motor vehicle accidents OT - moving violations OT - psychometric measurement EDAT- 2018/05/15 06:00 MHDA- 2020/03/28 06:00 CRDT- 2018/05/15 06:00 PHST- 2018/05/15 06:00 [pubmed] PHST- 2020/03/28 06:00 [medline] PHST- 2018/05/15 06:00 [entrez] AID - 10.1080/00952990.2018.1465572 [doi] PST - ppublish SO - Am J Drug Alcohol Abuse. 2019;45(1):42-50. doi: 10.1080/00952990.2018.1465572. Epub 2018 May 14.