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The revised four-factor motivational thought frequency and state motivation scales for alcohol control

Overview of attention for article published in Addictive Behaviors, December 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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3 tweeters
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1 Facebook page

Citations

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1 Dimensions

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17 Mendeley
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Title
The revised four-factor motivational thought frequency and state motivation scales for alcohol control
Published in
Addictive Behaviors, December 2018
DOI 10.1016/j.addbeh.2018.05.026
Pubmed ID
Authors

David J. Kavanagh, Nicole Robinson, Jennifer Connolly, Jason Connor, Jackie Andrade, Jon May

Abstract

Elaborated Intrusion (EI) Theory holds that both functional and dysfunctional motivational cognitions are characterized by their intensity, cognitive availability and involvement of imagery, and can be assessed in terms of their frequency and cross-sectional nature. Recently published data on the Motivational Thought Frequency (MTF-A) and State Motivation (SM-A) scales for alcohol control, which were based on EI theory, have shown acceptable fit for a three-subscale structure (Intensity, Imagery, Availability). However, subsequent analyses on the MTF's adaptation to diabetic regimen adherence suggested superior fit from a four-factor model, splitting Imagery into Incentives and Self-Efficacy Imagery. The current paper reanalyzed data on the MTF-A and SM-A, including an additional item on each and using a more robust statistical approach. Participants (n = 504) reporting recent high-risk drinking or were currently trying to control alcohol consumption volunteered to complete an online survey that included the MTF-A, SM-A, Alcohol Use Disorders Identification Test and Readiness to Change Questionnaire. Confirmatory factor analyses employed robust maximum likelihood (MLR) with Yuan-Bentler χ2 adjustment, and presented internal consistencies using omega. After omission of multivariate outliers, SM-A data were available from 399 participants, and MTF-A data from 351. Better fit was found for the four-factor model on both measures, and high internal consistencies were obtained for all subscales. Incentives Imagery and Self-Efficacy Imagery were both associated with greater alcohol problems and readiness to change. The four-factor structures are statistically superior and more theoretically coherent, and allow a focused assessment of key targets of motivational interventions.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 29%
Student > Ph. D. Student 4 24%
Student > Bachelor 3 18%
Researcher 3 18%
Student > Master 2 12%
Other 0 0%
Readers by discipline Count As %
Psychology 6 35%
Unspecified 3 18%
Computer Science 2 12%
Social Sciences 2 12%
Agricultural and Biological Sciences 1 6%
Other 3 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 July 2018.
All research outputs
#6,531,132
of 12,401,025 outputs
Outputs from Addictive Behaviors
#1,506
of 2,858 outputs
Outputs of similar age
#113,684
of 268,395 outputs
Outputs of similar age from Addictive Behaviors
#33
of 82 outputs
Altmetric has tracked 12,401,025 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,858 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 46th percentile – i.e., 46% 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 268,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.