Literature DB >> 34800240

Development and Validation of a Near Miss Scale for Assessing Gambling Tendency.

Mehmet Çakıcı1, Nuriye Sancar2, Ayşe Buran3, Gökçe Çakır Şahan4, Beniz Yılmaz4.   

Abstract

Although near-miss is an important tendency indicator for gambling addiction, no scale has been developed to evaluate these feelings. In this study, the aim is to develop a Near Miss Scale (NMS) to assess the tendency of gambling. In the first step, a 38-item measurement tool was prepared by the first author, which was examined by 8 experts. According to their comments and opinions, a 32-item 5-point Likert-type pre-form was created. The study was conducted with 600 gamblers in Northern Cyprus between December 2018-March 2019 and data from 563 of them were included in the statistical analysis. In the questionnaire, Socio-demographic form, Gambling Craving Scale (GCS), South Oaks Gambling Screening Test (SOGST) and NMS were used. With the SPSS 23 and R Studio statistical programs, after calculating the item-total correlations of the items in the NMS form, items with low item total-correlation values were excluded from the scale and 30 items were analysed statistically. In the study, it was seen that the factor loads of the relevant items in NMS were between .715 and .896. Confirmatory factor analysis (CFA) showed that a single factor model in the scale was valid. NMS had a positive correlation with SOGST (r = 0.601) and GCS (r = 0.752). The 2-week test-retest results of NMS with a Cronbach alpha of 0.981 were determined as 0.972. The validity and reliability results suggest that NMS is a valid and reliable as 30-item, one-dimensional measurement tool for assessing gambling tendency among gamblers.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Gambling addiction; Near-miss; Scale development; Tendency

Mesh:

Year:  2021        PMID: 34800240     DOI: 10.1007/s10899-021-10087-2

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  23 in total

1.  Association of Near-Miss with Two Erroneous Gambling Cognitions and Betting Intention: Evidence from Nigerian Adolescents.

Authors:  Lawrence O Amazue; Larry O Awo; Aaron A Agbo; Catherine N Ekwe; Mildred C Ojiaku
Journal:  J Gambl Stud       Date:  2021-01-01

2.  The Epistemology of the Near Miss and Its Potential Contribution in the Prevention and Treatment of Problem-Gambling.

Authors:  Cătălin Bărboianu
Journal:  J Gambl Stud       Date:  2019-09

3.  The frustrating effects of just missing the jackpot: slot machine near-misses trigger large skin conductance responses, but no post-reinforcement pauses.

Authors:  Mike J Dixon; Vance MacLaren; Michelle Jarick; Jonathan A Fugelsang; Kevin A Harrigan
Journal:  J Gambl Stud       Date:  2013-12

4.  Trait gambling cognitions predict near-miss experiences and persistence in laboratory slot machine gambling.

Authors:  Joël Billieux; Martial Van der Linden; Yasser Khazaal; Daniele Zullino; Luke Clark
Journal:  Br J Psychol       Date:  2011-10-24

5.  Almost winning: induced MEG theta power in insula and orbitofrontal cortex increases during gambling near-misses and is associated with BOLD signal and gambling severity.

Authors:  Simon Dymond; Natalia S Lawrence; Benjamin T Dunkley; Kenneth S L Yuen; Elanor C Hinton; Mark R Dixon; W Miles Cox; Alice E Hoon; Anita Munnelly; Suresh D Muthukumaraswamy; Krish D Singh
Journal:  Neuroimage       Date:  2014-01-20       Impact factor: 6.556

6.  Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry.

Authors:  Luke Clark; Andrew J Lawrence; Frances Astley-Jones; Nicola Gray
Journal:  Neuron       Date:  2009-02-12       Impact factor: 17.173

7.  Near wins prolong gambling on a video lottery terminal.

Authors:  Denis Côté; Anne Caron; Jonathan Aubert; Véronique Desrochers; Robert Ladouceur
Journal:  J Gambl Stud       Date:  2003

8.  Beliefs About Gambling Mediate the Effect of Cognitive Style on Gambling Problems.

Authors:  Tess Armstrong; Matthew Rockloff; Matthew Browne; Alexander Blaszczynski
Journal:  J Gambl Stud       Date:  2020-09

9.  Physiological responses to near-miss outcomes and personal control during simulated gambling.

Authors:  Luke Clark; Ben Crooks; Robert Clarke; Michael R F Aitken; Barnaby D Dunn
Journal:  J Gambl Stud       Date:  2012-03

10.  Gambling severity predicts midbrain response to near-miss outcomes.

Authors:  Henry W Chase; Luke Clark
Journal:  J Neurosci       Date:  2010-05-05       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.