2014年12月17日 星期三

比較多個時間點的因素結構的理由(文獻回顧)

以下為回顧前人進行多個時間點的因素結構比較的原因。
紫字標示者為我認為可用於我的論文的原因。

原因
比較方法
出處
之前的研究曾建議刪題,有些卻不用。或建議刪除的題目不同
Multiple group confirmatory factor (MGCF) model framework
[1]
欲測量的特質會受到特定因素影響(例如:生病後的時間長度、是否回到工作、社經地位)
Multiple group confirmatory factor (MGCF) model
Framework、計算量表分數與其它特質的相關程度 (multi-trait- multi-method matrix ,MTMM)
[1, 2]
題目間的關係可能因為時間點不同而改變,導致因素結構改變
1.      直接比較分析結果、各題在不同時期的難度、平均分數與標準差
2.      Coefficient of congruence and Catttell’s Salient Similarity Index (Cattell, 1978),用於CFA
[3, 4]
題目難度的排序可能因為評估時間點而不同
直接比較分析結果、各題在不同時期的難度、平均分數與標準差
[3, 5]
因素間的關係尚不確定
計算量表分數與其它特質的相關程度 (multi-trait- multi-method matrix ,MTMM)
[6, 7]
驗證現有的理論架構
1.      SEM (用於CFA的結果)
2.      Multi-group CFAs in a repeated-measures design
[8, 9]
欲驗證量表的測量不變性 (longitudinal invariance of the factor
Structure/ measurement invariance)
-
因為個案在某些時間點可能無法/不適合回答某些問題
-因素結構若因時間而不同,不利於長期追蹤的結果比較
Multi-group CFAs in a repeated-measures design
[7, 9, 10]



1.         Chungkham, H.S., et al., Factor Structure and Longitudinal Measurement Invariance of the Demand Control Support Model: An Evidence from the Swedish Longitudinal Occupational Survey of Health (SLOSH). PloS one, 2013. 8(8): p. e70541.
2.         Hagen, S., C. Bugge, and H. Alexander, Psychometric properties of the SF-36 in the early post-stroke phase. Journal of Advanced Nursing, 2003. 44(5): p. 461-468.
3.         Saiepour, N., et al., Item ordering of personal disturbance scale (DSSI/sAD) in a longitudinal study; using Mokken scale analysis. Personality and Individual Differences, 2014. 58: p. 37-42.
4.         Fairbrother, N., et al., Psychometric evaluation of the multidimensional assessment of fatigue scale for use with pregnant and postpartum women. Psychological Assessment, 2008. 20(2): p. 150-158.
5.         Fieo, R.A., et al., Improving a Measure of Mobility-Related Fatigue (The Mobility-Tiredness Scale) by Establishing Item Intensity. Journal of the American Geriatrics Society, 2013. 61(3): p. 429-433.
6.         Biesanz, J.C. and S.G. West, Towards Understanding Assessments of the Big Five: MultitraitMultimethod Analyses of Convergent and Discriminant Validity Across Measurement Occasion and Type of Observer. Journal of Personality, 2004. 72(4): p. 845-876.
7.         Makikangas, A., et al., The factor structure and factorial invariance of the 12-item General Health Questionnaire (GHQ-12) across time: Evidence from two community-based samples. Psychological Assessment, 2006. 18(4): p. 444-451.
8.         Brouwer, S., et al., Return-to-Work Self-Efficacy: Development and Validation of a Scale in Claimants with Musculoskeletal Disorders. Journal of Occupational Rehabilitation, 2011. 21(2): p. 244-258.
9.         Chang, C.C., et al., Psychometric Evaluation of the Internalized Stigma of Mental Illness Scale for Patients with Mental Illnesses: Measurement Invariance across Time. Plos One, 2014. 9(6): p. 8.
10.       Makikangas, A., et al., Longitudinal Factorial Invariance of the Maslach Burnout Inventory-General Survey among Employees with Job-related Psychological Health Problems. Stress and Health, 2011. 27(4): p. 347-352.

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