Supplemental Material for Development and Psychometric Evaluation of the Recovery Index for Gambling Disorder (RIGD)

Development and psychometric evaluation of the Recovery Index for Gambling Disorder (RIGD).

Psychology of Addictive Behaviors ◽

10.1037/adb0000676 ◽

2020 ◽

Author(s):

Dylan Pickering ◽

Alex Blaszczynski ◽

Sally M. Gainsbury

Keyword(s):

Gambling Disorder ◽

Psychometric Evaluation ◽

Recovery Index

Download Full-text

Recovery Index for Gambling Disorder

PsycTESTS Dataset ◽

10.1037/t82091-000 ◽

2021 ◽

Author(s):

Dylan Pickering ◽

Alex Blaszczynski ◽

Sally M. Gainsbury

Keyword(s):

Gambling Disorder ◽

Recovery Index

Download Full-text

The Gambling Disorders Identification Test (GDIT): Psychometric Evaluation of a New Comprehensive Measure for Gambling Disorder and Problem Gambling

Assessment ◽

10.1177/10731911211046045 ◽

2021 ◽

pp. 107319112110460

Author(s):

Olof Molander ◽

Peter Wennberg ◽

Anne H Berman

Keyword(s):

Problem Gambling ◽

Gambling Disorder ◽

Intraclass Correlation ◽

Population Sample ◽

Psychometric Evaluation ◽

Internal Consistency Reliability ◽

Gambling Behavior ◽

Self Report ◽

Negative Consequences ◽

Identification Test

The novel gambling disorder identification test (GDIT) was recently developed in an international Delphi and consensus process. In this first psychometric evaluation, gamblers ( N = 603) were recruited from treatment- and support-seeking contexts ( n = 79 and n = 185), self-help groups ( n = 47), and a population sample ( n = 292). Participants completed self-report measures, a GDIT retest ( n = 499), as well as diagnostic semistructured interviews assessing gambling disorder (GD; n = 203). The GDIT showed excellent internal consistency reliability (α = .94) and test–retest reliability (6-16 days, intraclass correlation coefficient = 0.93). Confirmatory factor analysis yielded factor loadings supporting the three proposed GDIT domains of gambling behavior, gambling symptoms, and negative consequences. Receiver operator curves and clinical significance indicators were used to estimate GDIT cut-off scores in relation to recreational (<15) and problem gambling (15-19), any GD (≥20), mild GD (20-24), moderate GD (25-29), and severe GD (≥30). The GDIT can be considered a valid and reliable measure to identify and predict GD severity, as well as problem gambling. In addition, the GDIT improves content validity in relation to an international research agreement concerning features of gambling outcome measures, known as the Banff Consensus Agreement.

Download Full-text

Development and Psychometric Evaluation of a Revised Sense of Coherence Scale

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000323 ◽

2018 ◽

Vol 34 (3) ◽

pp. 206-215 ◽

Cited By ~ 24

Author(s):

Rahel Bachem ◽

Andreas Maercker

Keyword(s):

Posttraumatic Growth ◽

Factor Structure ◽

Sense Of Coherence ◽

Psychological Health ◽

Psychometric Evaluation ◽

Health Indicators ◽

Structure Stability ◽

Confirmatory Factor Analyses ◽

Reliability Factor ◽

Two Samples

Abstract. The present study introduces a revised Sense of Coherence (SOC) scale, a new conceptualization and operationalization of the resilience indicator SOC. It outlines the scale development and aims for testing its reliability, factor structure, and validity. Literature on Antonovsky’s SOC (SOC-A) was critically reviewed to identify needs for improving the scale. The scale was investigated in two samples. Sample 1 consisted of 334 bereaved participants, Sample 2 of 157 healthy controls. The revised SOC Scale, SOC-A, and theoretically relevant questionnaires were applied. Explorative and confirmatory factor analyses established a three-factor structure in both samples. The revised SOC Scale showed significant but discriminative associations with related constructs, including self-efficacy, posttraumatic growth, and neuroticism. The revised measure was significantly associated with psychological health indicators, including persistent grief, depression, and anxiety, but not to the extent as the previous SOC-A. Stability over time was sufficient. The study provides psychometric support for the revised SOC conceptualization and scale. It has several advantages over the previous SOC-A scale (unique variance, distinct factor structure, stability). The scale could be used for clinical and health psychological testing or research into the growing field of studies on resilience over the life span.

Download Full-text