2014
DOI: 10.7895/ijadr.v3i2.100
|View full text |Cite
|
Sign up to set email alerts
|

The effect of sample selection on the distinction between alcohol abuse and dependence

Abstract: Aim: The effect of sample selection on the dimensionality of DSM-IV alcohol and dependence (AUD) criteria was tested applying different methods.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
14
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 16 publications
(19 citation statements)
references
References 43 publications
0
14
0
Order By: Relevance
“…For example, failing to fulfill role obligations was common in Puerto Rico but not in other countries. The same is true for tolerance, which was reported by 39% of a German sample (Steppan et al, 2014), 69% of an American sample of young adults in college ((Hagman et al, 2014), and by 40.8% of American adults with persistent AUD in a national sample (Agrawal et al, 2011). …”
Section: Discussionmentioning
confidence: 62%
See 2 more Smart Citations
“…For example, failing to fulfill role obligations was common in Puerto Rico but not in other countries. The same is true for tolerance, which was reported by 39% of a German sample (Steppan et al, 2014), 69% of an American sample of young adults in college ((Hagman et al, 2014), and by 40.8% of American adults with persistent AUD in a national sample (Agrawal et al, 2011). …”
Section: Discussionmentioning
confidence: 62%
“…The first three of these four criteria were also the most frequent among respondents in at least three samples of the U.S. adult population (Agrawal et al, 2011; Caetano et al, 2011; Haeny et al, 2014). Drinking larger quantities and for and longer time than planned plus time spent on drinking related activities were also common in a sample in Germany (Steppan et al, 2014). However, there were also differences in symptom profile across these studies.…”
Section: Discussionmentioning
confidence: 98%
See 1 more Smart Citation
“…Four fit indices in addition to the χ 2 test were used to examine the data-model fit. The Comparative Fit Index (CFI) and Tucker-Lewis index (TLI) (>0.95), the root mean square error of approximation (RMSEA) (<0.05), and the weighted root mean square residual (WRMR) (<0.9) indicate an excellent fit [31, 32]; a CFI and TLI >0.9, an RMSEA <0.08, and a WRMR <1.0 indicate an acceptable fit [33, 34]. …”
Section: Methodsmentioning
confidence: 99%
“…In both samples investigated within the current study, only gamblers fulfilling one to eight out of nine DSM-5 criteria were included in the analyses. Those fulfilling none and those meeting all criteria were excluded for two reasons: (1) they do not add any variance in the IRT analysis; and (2) retention of subjects fulfilling no criteria leads to overestimation of the unidimensionality of the data ( Steppan, Piontek & Kraus, 2014 ). Exclusion of subjects endorsing all criteria ( n = 13) had no effect on the results.…”
Section: Methodsmentioning
confidence: 99%