2019年3月5日 星期二

Psychometric properties of Multifactorial Memory Questionnaire (MMQ)


Psychometric properties of Multifactorial Memory Questionnaire (MMQ)


Ÿ Original validation study: 
Troyer, A. K., & Rich, J. B. (2002). Psychometric properties of a new metamemory questionnaire for older adults. Journals of Gerontology: Psychological Sciences, 57, 19-27. doi:10.1093/geronb/57.1.P19.
Ÿ MMQ Materials (Linkable)
Ÿ Compare Countries on MMQ
Study/Year
Language
Internal reliability
Test-retest reliability
Content validity
Factorial validity
Construct validity
Troyer et al.(2002)
English
√
√
√
√
√
Fort et al. (2004)
French
√


√
√
van der Werf et al. (2011)
Dutch
√




Riffo et al.(2013)
Chilean
√

√
√
√
Raimo et al. (2016)
Italian
√
√

√
√
Simon et al. (2016)
Brazilian
√
√


√









統整之結論:
MMQ各國心理計量特性之信度(Reliability)方面:
1.    三個次量表之內在一致性(Internal consistency)分別介於:Satisfaction (Contentment): .88- .95; Ability: .87- .93; Strategy: .75- .90
2.    三個次量表之再測信度(Test-retest)分別介於:Satisfaction (Contentment): .80- .95; Ability: .74- .96; Strategy: .75- .97 (間隔時間4週至3個月)
表示其內在一致性及再測信度皆為良好至優良
MMQ各國心理計量特性之效度(Validity)方面:
1.  內容效度(Content validity):專家同意百分比介於70-100%之間
2.  因素效度(Factorial validity):主要分為:Satisfaction (Contentment), Ability, and Strategy三大因素結構,而Strategy又分為external及internal,獨立分為第四個因素結構;使用方法以EFA+PCA居多,原始量表則使用PCA。
3.  建構效度(Construct validity):收斂效度以Memory in Adulthood Questionnaire (MIA)探討其關聯性居多,約介於 .41- .68之間,其關聯程度介於可接受範圍,表示MMQ與MIA之間有相當程度的關聯性;發散效度則以相關認知功能作為探討居多,關聯程度皆低於 .30以下,表示MMQ與認知功能之間所評估到的特質不相關。



批判與問題    (03/08待完成)
1.    Troyer, A. K., & Rich, J. B. (2002). Psychometric properties of a new metamemory questionnaire for older adults. Journals of Gerontology: Psychological Sciences, 57, 19-27. doi:10.1093/geronb/57.1.P19.
Q1.      (p22)本研究檢驗convergent validity採用effect sizes,但檢驗discriminant validity卻使用calculating correlation coefficients,雖然effect sizes可轉換相關係數,但特別註明的原因為何?
Q2.      (p22)在建構效度的檢驗中,為何要在特別用低記憶表現的個案進行另外的分析?? 且低記憶表現個案之分析人數只有12位適合分析嗎??
Q3.      (manual) SEM計算所使用的信度指標用內在一致性或再測信度皆可嗎?? 還是以什麼為優先較適切?
***(manual) SEM怎麼計算來的?? Troyer使用再測信度的相關係數值~~(以下為自我練習結果,與Manual結果一致)
Q4.      (p23)檢驗量表分數是否符合常態,結果顯示只有單次量表有峰度的問題 ”scores from MMQ-Ability were significantly peaked”,有需要做什麼處理嗎??
2.    Fort, I., Adoul, L., Holl, D., Kaddour, J., & Gana, K. (2004). Psychometric properties of the French version of the Multifactorial Memory Questionnaire for adults and the elderly. Canadian Journal on Aging, 23, 347-357. doi:10.1353/cja.2005.0020
Q1. (p350) MMQ和GDS為什麼是正相關???憂鬱程度越高-->對記憶越滿意??
Q2. (p351)主成分分析法之轉軸方式選擇皆為最大變異法varimax rotation,但varimax rotation是假設因素與因素之間沒有相關??
“A principal component analysis, followed by a varimax rotation, was then performed.”
Q3. (p354) “Note that Troyer and Rich(2002) did not report any significant correlations between age and the MMQ dimensions in their English-speaking sample.” 但查證原始英文版有分析age與MMQ之相關性(詳見原始量表P22)
3.    van der Werf, S. P., & Vos, S. H. (2011). Memory worries and self-reported daily forgetfulness: A psychometric evaluation of the Dutch translation of the Multifactorial Memory Questionnaire. The Clinical Neuropsychologist, 25, 244-268. doi:10.1080/13854046.2010.543290
Q1. (p.249)文中”The third and fourth factors were somewhat ambiguous and reflected mostly a mix of MMQ-strategy items.” 所謂的”ambiguous”沒有特別去說明,因若前段已說明各因素之eigenvalues值大於1,卻考量原版之三因素而強制合併,是否合理?
Q2.  另外,若要將策略進一步區分成內外在,需要有怎樣有依據去做切割? (理論基礎?)
Q3.  因素結構分析時,將正常樣本(716)與神經疾患者(299)合併去分析,這樣是否恰當?? 因為族群特性不同??
Q4.  在考量因素切割時,eigenvalues值大於1或screeplot data擇一即可?
Q5.  (p.250)圖一中的MMQ_E12及MMQ_S2 在因素結構分析中落到非原先因素?
Q6.  (p252-253)對於常模建立的段落不太了解(如percentile rank百分等級建立方式??)
4.    Riffo, B., Reyes, F., & Véliz de Vos, M. (2013). Psychometric properties of Multifactorial Memory Questionnaire in Chilean adult population. Terapia Psichológica, 31, 227-237.
5.    Raimo, S., Trojano, L., Siciliano, M., Cuoco, S., D’Oorio, Santangelo, F., . . . Santangelo, G. (2016). Psychometric properties of the Italian version of the Multifactorial Memory Questionnaire for adults and the elderly. Neurological Sciences, 37, 681-691. doi:10.1007/s10072-016-2562-5
6.    Simon, S. S., Ávila, R. T., Vieira, G., & Bottino, C. M. C. (2016). Metamemory and aging: Psychometric properties of the Brazilian version of the Multifactorial Memory Questionnaire for elderly. Dementia & Neuropsychologia, 10, 113-126. doi:10.1590/s1980-5764-2016dn1002007 



Reference:

1.    Troyer, A. K., & Rich, J. B. (2002). Psychometric properties of a new metamemory questionnaire for older adults. Journals of Gerontology: Psychological Sciences, 57, 19-27. doi:10.1093/geronb/57.1.P19.
2.    Fort, I., Adoul, L., Holl, D., Kaddour, J., & Gana, K. (2004). Psychometric properties of the French version of the Multifactorial Memory Questionnaire for adults and the elderly. Canadian Journal on Aging, 23, 347-357. doi:10.1353/cja.2005.0020
3.    van der Werf, S. P., & Vos, S. H. (2011). Memory worries and self-reported daily forgetfulness: A psychometric evaluation of the Dutch translation of the Multifactorial Memory Questionnaire. The Clinical Neuropsychologist, 25, 244-268. doi:10.1080/13854046.2010.543290 (no find full-text)
4.    Riffo, B., Reyes, F., & Véliz de Vos, M. (2013). Psychometric properties of Multifactorial Memory Questionnaire in Chilean adult population. Terapia Psichológica, 31, 227-237.
5.    Raimo, S., Trojano, L., Siciliano, M., Cuoco, S., D’Oorio, Santangelo, F., . . . Santangelo, G. (2016). Psychometric properties of the Italian version of the Multifactorial Memory Questionnaire for adults and the elderly. Neurological Sciences, 37, 681-691. doi:10.1007/s10072-016-2562-5
6.    Simon, S. S., Ávila, R. T., Vieira, G., & Bottino, C. M. C. (2016). Metamemory and aging: Psychometric properties of the Brazilian version of the Multifactorial Memory Questionnaire for elderly. Dementia & Neuropsychologia, 10, 113-126. doi:10.1590/s1980-5764-2016dn1002007

Website:
 https://www.baycrest.org/Baycrest/Healthcare-Programs-Services/Clinical-Services/Neuropsychology-Cognitive-Health/Clinical-Tools/Multifactorial-Memory-Questionnaire
http://allie.dbcls.jp/pubmed/MMQ;Multifactorial+Memory+Questionnaire.html


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