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Validation and psychometric analysis of the Internet Addiction Test in Spanish among college students

Overview of attention for article published in BMC Public Health, September 2015
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Title
Validation and psychometric analysis of the Internet Addiction Test in Spanish among college students
Published in
BMC Public Health, September 2015
DOI 10.1186/s12889-015-2281-5
Pubmed ID
Authors

Tania Fernández-Villa, Antonio J. Molina, Miguel García-Martín, Javier Llorca, Miguel Delgado-Rodríguez, Vicente Martín

Abstract

The wide use of the Internet in the workplace, academic or social field, can have an impact on daily life. One of the most used questionnaires worldwide to analyse these problems is the Internet Addiction Test (IAT). Our aim was to validate a Spanish version of the IAT and analyse its psychometric properties. Population of study were college students participating in the uniHcos project (Universities of Granada, Huelva, Jaén, León, Salamanca, and Vigo). The questionnaire was translated and back-translated by two native English speakers. Reliability of scores was analysed using Pearson's correlation coefficient and agreement was analysed using the Bland-Altman and Kappa techniques. Test dimensions were analysed by exploratory and confirmatory factor analysis. The reliability of scores was good (r = 0.899, Kappa = 0.650 and mean difference using Bland-Altman = -3.5). The psychometric assessment identified two factors (Emotional Investment; Performance and Time Management) which explained 55 % of the variance (total internal consistency of 0.91) and only 19 items. The confirmatory analysis showed an acceptable goodness of fit, especially when items 6 and 8 were related (RMSEA = 0.07 90%IC = 0.06 - 0.08; WRMR = 1.01, CFI = 0.96; TLI = 0.95). The two dimensions were negatively correlated with age and positively correlated with time spent online, especially for the purposes of leisure and entertainment. The results show good reliability and psychometric properties of the Spanish version of IAT with a two-dimensional solution. This result is partially in concordance with previous validations of the IAT in other languages that have found uni- and multi-dimensional solutions using different methodologies. Moreover, we want to highlight the possibility that some item of this questionnaire is outdated due to the technological and lifestyles changes and should be not taken into account. The reliability and psychometric properties obtained in this study support the conclusion that this Spanish short version of the IAT represents a useful tool for the analysis of problems arising from misuse of the Internet.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 15%
Researcher 21 14%
Student > Master 18 12%
Student > Ph. D. Student 13 8%
Student > Doctoral Student 13 8%
Other 35 23%
Unknown 30 20%
Readers by discipline Count As %
Medicine and Dentistry 35 23%
Psychology 32 21%
Nursing and Health Professions 12 8%
Social Sciences 11 7%
Biochemistry, Genetics and Molecular Biology 6 4%
Other 18 12%
Unknown 39 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2016.
All research outputs
#8,792,467
of 11,426,369 outputs
Outputs from BMC Public Health
#6,449
of 7,817 outputs
Outputs of similar age
#152,780
of 242,965 outputs
Outputs of similar age from BMC Public Health
#214
of 272 outputs
Altmetric has tracked 11,426,369 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,817 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 242,965 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.