Applying generalizability theory methods to assess continuity and change on the Adolescent Quality of Life-Mental Health Scale (AQOL-MHS).
Applying generalizability theory methods to assess continuity and change on the Adolescent Quality of Life-Mental Health Scale (AQOL-MHS).
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应用概括性理论方法评估青少年生活质量心理健康量表（AQOL-MHS）的连续性和变化。
DOI：
10.1007/s11136-016-1344-0
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Shrout,PatrickE
中科院分区：
文献类型：
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作者：
Chavez,LigiaM;Garcia,Pedro;Ortiz,Nyrma;Shrout,PatrickE
目的青少年生活质量-心理健康量表(AQOL-MHS)用于测量12-18岁拉美裔青少年的临床样本的生活质量。初步研究结果支持该量表的信度、效度和三个领域(情绪调节、自我概念和社会背景)的概念模型。本研究测试了AQOL-MHS在跟踪服务使用过程中HRQOL变化的有效性。方法从59名从心理健康诊所招募的参与者那里收集了三波数据，每波间隔4个月。参与者在基线评估时接受服务，并被跟踪进行后续预约，无论治疗状态如何。我们分析了个体差异的传统信度统计(例如，Cronbach‘sα和重测相关)，并且为了估计变化的可靠性，我们进行了方差分解分析。(Qual Life Res 23(4)：1327-1335,2014)被复制，结果可比。概化理论(GT)分析表明，AQOL-MHS领域能够可靠地测量变化。可靠性估计从0.65到0.78不等。虽然在个体水平上有可靠的变化，但平均而言，AQOL-MHS的平均值只随着时间的推移而略有提高。结论AQOL-MHS的三个量表的变化的可靠性都是可以接受的，但始终低于每个波的Cronbach‘s Alpha值。未来的工作将使用这种方法来适应我们目前的测量，以提供更好的人内变化的可靠性，从而扩大其未来使用的适用性。
PurposeThe Adolescent Quality of Life-Mental Health Scale (AQOL-MHS) is designed to measure quality of life in clinical samples of Latino adolescents aged 12–18 years. Initial findings support its reliability, validity and conceptual model for use of its three domains (emotional regulation, self-concept and social context). Our current study tests the usefulness of the AQOL-MHS for tracking changes in HRQOL during the course of service use.MethodsThree waves of data were collected from 59 participants who were recruited from mental health clinics, where waves were spaced 4 months apart. Participants were receiving services at baseline assessment and were tracked for follow-up appointments regardless of treatment status. We analyze conventional reliability statistics for individual differences (e.g., Cronbach’s alpha and test–retest correlations), and to estimate the reliability of change, we carried out a variance decomposition analysis.ResultsThe psychometric analyses from Chavez et al. (Qual Life Res 23(4):1327–1335, 2014) were replicated with comparable results. A generalizability theory (GT) analysis revealed that the AQOL-MHS domains can measure change reliably. The reliability estimates varied from .65 to .78. Although there was reliable change at the individual level, on the average the AQOL-MHS means improved only slightly over time.ConclusionsThe reliability of change for all three scales in the AQOL-MHS was acceptable, but consistently lower than the Cronbach’s alpha values for each wave. Future work will use this approach to adapt our current measure to provide a better reliability of within-person change and thus broaden its applicability for prospective use.