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研究生:柏憶涵
研究生(外文):Yi Han Po
論文名稱:學齡前兒童動作發展量表之電腦化適性測驗:開發與驗證
論文名稱(外文):A Computerized Adaptive Testing of the Developmental Motor Scales for Preschool Children: Development and Validation
指導教授:陳嘉玲陳嘉玲引用關係
指導教授(外文):C. L. Chen
學位類別:碩士
校院名稱:長庚大學
系所名稱:早期療育研究所
學門:醫藥衛生學門
學類:護理學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:147
中文關鍵詞:電腦化適性測驗試題反應理論學齡前兒童動作發展篩檢問卷學齡前兒童動作發展評估量表信度效度
外文關鍵詞:computerized adaptive testitem response theoryDevelopment Motor Screening Scale for Preschool ChildrenDevelopment Motor Assessment Scale for Preschool Childrenreliabilityvalidity
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背景與目的:在先前的研究已開發出兩套適合台灣學齡前兒童動作發展量表,分別為「學齡前兒童動作發展篩檢問卷(Development Motor Screening Scale for Preschool Children,簡稱DMSSPC)」和「學齡前兒童動作發展評估量表(Development Motor Assessment Scale for Preschool Children,簡稱DMASPC)」。目前臨床上大多使用傳統的紙本測驗,需要花費較多人力和時間施測,而電腦化適性測驗(computerized adaptive testing,簡稱CAT)是一種會依據受試者能力給予適當題目作答之測驗,可減少不必要的題目及時間,因此本研究目的為開發並驗證DMSSPC-CAT和DMASPC-CAT,研究分為兩個階段進行,第一階段為發展兩個CAT量表,並在第二階段透過標準化工具對驗證兩個CAT量表。
方法:研究對象為3到72月齡的學齡前典型發展嬰幼兒,樣本來自於「幼兒發展資料庫先期研究」以及台灣北、中、南地區之托嬰中心、幼兒園或健兒門診。本研究皆使用實徵資料(empirical data),第一階段共招募698位嬰幼兒(352位男生、346位女生)之家長填寫DMSSPC和361位嬰幼兒(195位男生、166位女生)接受DMASPC測驗,此階段利用試題反應理論(item response theory,簡稱IRT)分析兩套量表,以開發DMSSPC-CAT和DMASPC-CAT,包含粗大動作和精細動作兩向度,並同時模擬研究不同測驗長度(5、10、15、20、25題和不限制題數)之表現。第二階段為再招募99位嬰幼兒(52位男生、47位女生)之家長填寫DMSSPC(其中有89位嬰幼兒接受PDMS-2測驗)和75位嬰幼兒(37位男生、38位女生)皆接受DMASPC和PDMS-2測驗,此階段為驗證測試DMSSPC-CAT和DMASPC-CAT,使用皮巴迪動作發展量表第二版(Peabody Developmental Motor Scales 2nd ed.,簡稱PDMS-2)作為效標。本研究使用BILOG-MG軟體分析IRT參數(試題鑑別度、試題困難度),並用SPSS軟體進行組內相關係數(intra-class correlation coefficient,簡稱ICC)和皮爾森相關係數(Pearson correlation coefficient)檢測,ICC用於檢測CAT分數與DMSSPC及DMASPC原量表之間的效度;皮爾森相關係數則是用於DMSSPC-CAT及DMASPC-CAT與PDMS-2之間的效標關聯效度。
結果:第一階段中,DMSSPC之IRT分析結果顯示粗大動作和精細動作兩向度之試題鑑別度分別為0.27-3.19和0.11-2.02,試題困難度平均分別為-0.38和0.70。DMSSPC-CAT模擬研究結果顯示,粗大動作和精細動作兩向度之信度分別為0.764-0.929和0.777-0.915;在DMSSPC-CAT和DMSSPC兩者之估計能力值相關中,除了DMSSPC-CAT-5為中度相關外,其餘測驗長度皆達高度相關(ICC≥0.860)。而在DMASPC之IRT分析結果顯示粗大動作和精細動作兩向度試題鑑別度分別為0.42-2.01和0.36-2.06,試題困難度平均分別為0.65和0.43。DMASPC-CAT模擬研究結果顯示,粗大動作和精細動作兩向度之信度分別為0.757-0.918和0.744-0.912;在DMASPC-CAT和DMASPC兩者之估計能力值相關中,除了DMASPC-CAT-5為中度相關外,其餘測驗長度皆達高度相關(ICC≥0.883)。第二階段驗證測試顯示,DMSSPC-CAT粗大動作和精細動作兩向度平均作答題數分別為14.72題和11.14題;信度分別為0.904-0.927和0.894-0.914;DMSSPC-CAT和DMSSPC兩者之估計能力值達高度相關(粗大動作ICC=0.935、精細動作ICC=0.923);DMSSPC-CAT之估計能力值與PDMS-2達高度相關(粗大動作r=0.935、精細動作r=0.923,p<0.001)。DMASPC-CAT粗大動作和精細動作兩向度平均作答題數分別為13.31題和12.77題;信度分別為0.905-0.911和0.877-0.911;DMASPC-CAT和DMASPC兩者之估計能力值達高度相關(粗大動作ICC=0.909、精細動作ICC=0.869);DMASPC-CAT之估計能力值與PDMS-2達高度相關(粗大動作r=0.984、精細動作r=0.981,p<0.001)。
結論:DMSSPC-CAT和DMASPC-CAT皆具有優良的信度、效度及效率,可準確評估學齡前兒童動作發展能力,並相較於紙本測驗能大幅減少79-89%的題數,亦即可以有效地縮短人力和施測時間。DMSSPC-CAT和DMASPC-CAT是個相當實用的臨床工具,且適合用於學齡前兒童。
Background: Two motor development scales suitable for Taiwanese preschool children were developed in our earlier research. One was the Development Motor Screening Scale for Preschool Children (DMSSPC) and the other the Development Motor Assessment Scale for Preschool Children (DMASPC). Clinically, they are often applied through paper-based tests which require more labor and time to administer. In comparison, the computerized adaptive test (CAT) is to adentify the appropriate test items in accordance with the ability of the testee to reduce unnecessary items and time. Therefore, this study aims to develop and validate of the DMSSPC-CAT and DMASPC-CAT. The study is executed in two stages: develop the two CAT scales in the first stage and validate two CAT scales by gold standard tools in the second stage.
Methods: This study collects 3- to 72-month-old preschool children with normal development. The samples come from the results of the “Kids in Taiwan: National Longitudinal Study of Child Development & Care: a pilot study” and daycare canters, kindergartens and child outpatient departments of hospitals in northern, central and southern Taiwan. Only empirical data are adopted. In the first stage, 698 parents with children (352 male and 346 female) are recruited to fill out the DMSSPC and 361 young children (195 male and 166 female) receiving the DMASPC test. The item response theory (IRT) is adopted to analyze the two scales in order to develop the DMSSPC-CAT and DMASPC-CAT, including gross motor (GM) and fine motor (FM) domains. At the same time, simulations are conducted to examine the performance under different stopping conditions (5, 10, 15, 20, 25 and unlimited number of questions). In the second stage, 99 parents with children (52 male and 47 female) accept the invitation to fill out the DMSSPC (with 89 young children taking the PDMS-2 test) and 75 young children (37 male and 38 female) receive both the DMASPC and PDMS-2 tests. The DMSSPC-CAT and DMASPC-CAT are validated by gold standard the Peabody Development Motor Scale 2nd ed. (PDMS-2). Afterwards, the BILOG-MG software is applied to analyze the IRT parameters (item discrimination and item difficulty), and SPSS is also used to test the intra-class correlation coefficient (ICC) and Pearson correlation coefficient. The ICC is used to test the validity between the CAT scores and original scores of DMSSPC and DMASPC. The Pearson correlation coefficient is used to test the criterion-related validity between the the DMSSPC-CAT and DMASPC-CAT with PDMS-2.
Results: In the first stage, the results of IRT analysis reveal the item discrimination and item difficulty values of two GM/FM domains of DMSSPC are 0.27-3.19/0.11-2.02, and -0.38/0.70. The simulation study results show that the reliability values of two GM/FM domains of DMSSPC are 0.764-0.929/0.777-0.915. The correlations between the estimated abilities of DMSSPC-CAT at all stooping conditions and DMSSPC had high correlations (ICC≥0.860) except the DMSSPC-CAT-5 and DMSSPC. The results of IRT analysis reveal the item discrimination and item difficulty values of two GM/FM domains of DMASPC are 0.42-2.01/0.36-2.06, and 0.65/0.43. The simulation study results show that the reliability values of two GM/FM domains of DMASPC are 0.757-0.918/0.744-0.912. The correlations between the estimated abilities of DMASPC-CAT at all stooping conditions and DMASPC had high correlations (ICC≥0.883) except the DMASPC-CAT-5 and DMASPC. In the second stage, the validation test showed that the average tested items of the DMSSPC-CAT in the GM/FM domains were 14.72/11.14. The reliability values of the GM/FM domains in the DMSSPC-CAT are 0.904-0.927/0.894-0.914. The correlations between the estimated abilities of DMSSPC-CAT and DMSSPC had high correlations (GM/FM ICC: 0.935/0.923). The correlations between the estimated abilities of DMSSPC-CAT and PDMS-2 had high correlations (GM/FM r: 0.959/0.956, p<0.001). The validation test showed that the average tested items of the DMASPC-CAT in the GM/FM domains were 13.31/12.77. The reliability values of the GM/FM domains in the DMASPC-CAT are 0.905-0.911/0.877-0.911. The correlations between the estimated abilities of DMASPC-CAT and DMASPC had high correlations (GM/FM ICC: 0.909/0.869). The correlations between the estimated abilities of DMASPC-CAT and PDMS-2 had high correlations (GM/FM r: 0.984/0.981, p<0.001).
Conclusion: The DMSSPC-CAT and DMASPC-CAT developed in this study prove to have excellent reliability and validity and good efficiency. They can accurately asses the motor development ability of preschool children and reduce the tested items to 79-89%. In other words, DMSSPC-CAT and DMASPC-CAT need much less labor and time to administer. Therefore, DMSSPC-CAT and DMASPC-CAT are practical and effective clinical assessment for the motor development of preschool children.
目錄
指導教授推薦書
口試委員審定書
致謝...................................................iii
中文摘要...............................................iv
Abstract...............................................vii
第一章 緒論...........................................1
第一節 研究背景與動機.............................1
第二節 研究目的與假設.............................3
第三節 名詞解釋...................................4
第二章 文獻探討.......................................7
第一節 嬰幼兒動作發展.............................7
第二節 試題反應理論...............................19
第三節 電腦化適性測驗.............................26
第三章 研究方法.......................................49
第一節 研究對象...................................49
第二節 研究流程...................................50
第三節 研究工具...................................53
第四節 資料分析...................................58
第四章 研究結果.......................................61
第一節 開發電腦化適性測驗之結果...................61
第二節 驗證電腦化適性測驗之結果...................86
第五章 研究討論.......................................93
第一節 電腦化適性測驗流程.........................93
第二節 模擬研究...................................98
第三節 驗證測試...................................102
第四節 研究限制與未來建議.........................108
第六章 研究結論.......................................110
參考文獻...............................................111
附錄...................................................122

圖目錄
圖1 試題特徵曲線......................................19
圖2 單向度模式........................................22
圖3 多向度模式-題間多向度測驗........................22
圖4 多向度模式-題內多向度測驗........................22
圖5 電腦化適性測驗施測流程............................26
圖6 電腦化適性測驗流程設定............................51
圖7 研究流程..........................................52
圖8 DMSSPC兩向度鑑別度之題目分布......................70
圖9 DMSSPC粗大動作受試者能力值與試題困難度分布........71
圖10 DMSSPC精細動作受試者能力值與試題困難度分布.......72
圖11 DMASPC兩向度鑑別度之題目分布.....................75
圖12 DMASPC粗大動作受試者能力值與試題困難度分布.......75
圖13 DMASPC精細動作受試者能力值與試題困難度分布.......76

表目錄
表1 零到六歲嬰幼兒動作發展里程........................9
表2 國內外動作發展篩檢量表............................17
表3 國內外動作發展評估量表............................18
表4 單向度試題反應理論模式............................24
表5 多向度試題反應理論模式............................25
表6 試題參數數值......................................27
表7 鑑別度判斷標準表..................................28
表8 能力估計法和比較..................................31
表9 選題策略..........................................33
表10 電腦化適性測驗之相關研究.........................43
表11 DMSSPC信效度.....................................55
表12 DMSSPC與PDMS-2相關(N=364)......................55
表13 DMASPC信效度.....................................57
表14 DMASPC與PDMS-2相關(N=264)......................57
表15 開發電腦化適性測驗之受試者人數分配...............63
表16 DMSSPC粗大動作之試題參數.........................68
表17 DMSSPC精細動作之試題參數.........................69
表18 DMASPC粗大動作之試題參數.........................73
表19 DMASPC精細動作之試題參數.........................74
表20 模擬研究DMSSPC-CAT不同測驗長度之表現(N=698)....81
表21 模擬研究DMASPC-CAT不同測驗長度之表現(N=361)....85
表22 驗證電腦化適性測驗之受試者人數分配...............87
表23 DMSSPC-CAT和DMASPC-CAT與PDMS-2相關...............91
表24 驗證測試DMSSPC-CAT和DMASPC-CAT之表現.............92
表25 模擬研究不同測驗長度之信度表現...................99
表26 模擬研究不同測驗長度與原量表之組內相關係數.......101
表27 驗證測試之信度表現...............................103
表28 驗證測試電腦化適性測驗與原量表之組內相關係數.....104
表29 驗證測試電腦化適性測驗與相關量表之皮爾森相關係數..105
表30 驗證測試電腦化適性測驗之效率......................107
Abberger, B., Haschke, A., Wirtz, M., Kroehne, U., Bengel, J., & Baumeister, H. (2013). Development and evaluation of a computer adaptive test to assess anxiety in cardiovascular rehabilitation patients. Archives of Physical Medicine and Rehabilitation, 94(12), 2433-2439. doi:10.1016/j.apmr.2013.07.009
Adams, R. J., Wilson, M., & Wang, W. C. (1997). Rasch models for multidimensionality between items and within items. Objective measurement: Theory into practice, 4, 139-155.
Aldrich, J. (1997). RA Fisher and the making of maximum likelihood 1912-1922. Statistical Science, 12(3), 162-176.
Alessi, S. M., & Trollip, S. R. (1991). Computer-based instruction: Methods and development: Prentice Hall Professional Technical Reference.
Allen, D. D., Ni, P., & Haley, S. M. (2008). Efficiency and sensitivity of multidimensional computerized adaptive testing of pediatric physical functioning. Disability and Rehabilitation, 30(6), 479-484. doi:10.1080/09638280701625484
Baker, F. B. (1992). Item response theory: parameter estimation techniques. Madison Avenue, NY: Marcel Dekker.
Baker, F. B. (2001). The basics of item response theory: ERIC.
Baker, F. B., & Kim, S. H. (2004). Item response theory: Parameter estimation techniques: CRC Press.
Bayley, N. (2006). Bayley scales of infant and toddler development: Bayley-III: Administration manual: San Antonio, TX : Harcourt Assessment.
Binet, A., & Simon, T. H. (1916). The development of intelligence in children: Vineland, NJ: The Training School.
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee's ability. In F. M. Lord & M. R. Novick (Eds.), Statistical Theories of Mental Test Scores (pp. 397-479). Reading, MA: Addison-Wesley.
Bock, R. D., & Mislevy, R. J. (1982). Adaptive EAP estimation of ability in a microcomputer environment. Applied Psychological Measurement, 6(4), 431-444.
Bruininks, R. H. (2005). Bruininks-Oseretsky Test of Motor Proficiency, (BOT-2). Minneapolis, MN: Pearson Assessment.
Case-Smith, J., Heaphy, T., Marr, D., Galvin, B., Koch, V., Ellis, M. G., & Perez, I. (1998). Fine motor and functional performance outcomes in preschool children. American Journal of Occupational Therapy, 52(10), 788-796.
Cratty, B. J. (1986). Perceptual and motor development in infants and children. Englewood Cliffs, NJ: Prentice-Hall.
Cuieford, J. P. (1965). Fundamental Statistics in Psychology and Education, 4th (Ed). New York: McGraw Hill.
Deitz, J. C., Kartin, D., & Kopp, K. (2007). Review of the Bruininks-Oseretsky test of motor proficiency, (BOT-2). Physical & Occupational Therapy in Pediatrics, 27(4), 87-102. doi:10.1300/J006v27n04_06
Devine, J., Otto, C., Rose, M., Barthel, D., Fischer, F., Mülhan, H., . . . Ravens-Sieberer, U. (2015). A new computerized adaptive test advancing the measurement of health-related quality of life (HRQoL) in children: the Kids-CAT. Quality of Life Research, 24(4), 871-884.
DeWitt, E. M., Stucky, B. D., Thissen, D., Irwin, D. E., Langer, M., Varni, J. W., . . . DeWalt, D. A. (2011). Construction of the eight item PROMIS pediatric physical function scales: Built using item response theory. Journal of Clinical Epidemiology, 64(7), 794-804. doi:10.1016/j.jclinepi.2010.10.012
Dumas, H. M., Fragala-Pinkham, M. A., Haley, S. M., Ni, P., Coster, W., Kramer, J. M., . . . Ludlow, L. H. (2012). Computer adaptive test performance in children with and without disabilities: prospective field study of the PEDI-CAT. Disability and Rehabilitation, 34(5), 393-401. doi:10.3109/09638288.2011.607217
Dumas, H. M., Rosen, E. L., Haley, S. M., Fragala-Pinkham, M. A., Ni, P., & O'Brien, J. E. (2010). Measuring physical function in children with airway support: A pilot study using computer adaptive testing. Developmental neurorehabilitation, 13(2), 95-102. doi:10.3109/17518420903386179
Ebel, R. L., & Frisbie, D. A. (1991). Essentials of educational measurement (5th ed.). Austin, Texas: Pro-ED, Inc.
Embretson, S. E., & Reise, S. P. (2000). Item Response Theory for Psychologists: Mahwah, NJ: Lawrence Erlbaum.
Folio, M. R., & Fewell, R. R. (2000). Peabody Developmental Motor Scales Second Edition Examinar's Manual. Austin, Texas: Pro-ED, Inc.
Frankenburg, W. K., & Dodds, J. B. (1990). Denver Developmental Screening Test (2nd ed.) (Denver II). Denver, CO: Denver Developmental Materials.
Gallahue, D. L., & Ozmun, J. C. (2006). Understanding motor development: Infants, children, adolescents, adults (6th ed.): Boston: McGraw-Hill.
Gerber, R. J., Wilks, T., & Erdie-Lalena, C. (2010). Developmental milestones: Motor development. Pediatrics in Review, 31(7), 267-277. doi:10.1542/pir.31-7-267
Haley, S. M., Coster, W. J., Dumas, H. M., Fragala‐Pinkham, M. A., Kramer, J., Ni, P., . . . Ludlow, L. H. (2011). Accuracy and precision of the Pediatric Evaluation of Disability Inventory computer‐adaptive tests (PEDI‐CAT). Developmental Medicine & Child Neurology, 53(12), 1100-1106. doi:10.1111/j.1469-8749.2011.04107.x
Haley, S. M., Ni, P., Fragala‐Pinkham, M. A., Skrinar, A. M., & Corzo, D. (2005). A computer adaptive testing approach for assessing physical functioning in children and adolescents. Developmental Medicine & Child Neurology, 47(2), 113-120. doi:10.1017/S0012162205000204
Haley, S. M., Raczek, A. E., Coster, W. J., Dumas, H. M., & Fragala-Pinkham, M. A. (2005). Assessing mobility in children using a computer adaptive testing version of the pediatric evaluation of disability inventory. Archives of Physical Medicine and Rehabilitation, 86, 932-939. doi:10.1016/j.apmr.2004.10.032
Hau, K. T., & Chang, H. H. (2001). Item selection in computerized adaptive testing: Should more discriminating items be used first? Journal of Educational Measurement, 38(3), 249-266.
Haywood, K. M., & Getchell, N. (2014). Life Span Motor Development 6th Edition: Human Kinetics.
Henderson, S. E., Sugden, D. A., & Barnett, A. L. (2007). Movement assessment battery for children-2: Movement ABC-2: Examiner's manual: Pearson.
Hou, W. H., Shih, C. L., Chou, Y. T., Sheu, C. F., Lin, J. H., Wu, H. C., . . . Hsieh, C. L. (2012). Development of a computerized adaptive testing system of the Fugl-Meyer motor scale in stroke patients. Archives of Physical Medicine and Rehabilitation, 93(6), 1014-1020. doi:10.1016/j.apmr.2011.12.005
Hsueh, I. P., Chen, J. H., Wang, C. H., Chen, C. T., Sheu, C. F., Wang, W. C., . . . Hsieh, C. L. (2010). Development of a computerized adaptive test for assessing balance function in patients with stroke. Physical Therapy, 90(9), 1336-1344. doi:10.2522/ptj.20090395
Kratz, A. L., Slavin, M. D., Mulcahey, M. J., Jette, A. M., Tulsky, D. S., & Haley, S. M. (2013). An examination of the PROMIS® pediatric instruments to assess mobility in children with cerebral palsy. Quality of Life Research, 22(10), 2865-2876. doi:10.1007/s11136-013-0397-6
Lord, F. M. (1977). Practical applications of item characteristic curve theory*. Journal of Educational Measurement, 14(2), 117-138.
Lord, F. M. (1986). Maximum likelihood and Bayesian parameter estimation in item response theory. Journal of Educational Measurement, 23(2), 157-162.
Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
Mead, A. D., & Drasgow, F. (1993). Equivalence of computerized and paper-and-pencil cognitive ability tests: A meta-analysis. Psychological Bulletin, 114(3), 449. doi:10.1037/0033-2909.114.3.449
Mislevy, R. J. (1986). Bayes modal estimation in item response models. Psychometrika, 51(2), 177-195.
Mulcahey, M. J., Haley, S. M., Duffy, T., Ni, P., & Betz, R. R. (2008). Measuring physical functioning in children with spinal impairments with computerized adaptive testing. Journal of pediatric orthopedics, 28(3), 330-335.
Reckase, M. D. (1989). Adaptive testing: The evolution of a good idea. Educational Measurement: Issues and Practice, 8(3), 11-15.
Rin, H., Schooler, C., & Caudill, W. A. (1973). Culture, Social Structure and Psychopathology in Taiwan and Japan. The Journal of nervous and mental disease, 157(4), 296-312.
Ruffin, N. J. (2001). Human growth and development: a matter of principles. Virginia Cooperative Extension Publication(350-353).
Rupp, A. A. (2003). Item response modeling with BILOG-MG and MULTILOG for Windows. International Journal of Testing, 3(4), 365-384.
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin, 86(2), 420-428.
Squires, J., & Bricker, D. (2009). Ages and Stages Questionnaires: A parent-completed child-monitoring system (3rd ed.) (ASQ-3): Baltimore, MD: Brookes Publishing Company.
Stocking, M. L. (1994). Three practical issues for modern adaptive testing item pools. Educational Testing Service, 1994(1), 2-34.
Sun, S. H., Sun, H. L., Zhu, Y. C., Huang, L. c., & Hsieh, Y. L. (2011). Concurrent validity of preschooler gross motor quality scale with test of gross motor development-2. Research in Developmental Disabilities, 32(3), 1163-1168. doi:10.1016/j.ridd.2011.01.007
Tian, J. q., Miao, D. m., Zhu, X., & Gong, J. j. (2007). An Introduction to the Computerized Adaptive Testing. US-China Education Review, 4, 72-81.
Tieman, B. L., Palisano, R. J., & Sutlive, A. C. (2005). Assessment of motor development and function in preschool children. Mental retardation and developmental disabilities research reviews, 11, 189-196. doi:10.1002/mrdd.20074
Tucker, C. A., Gorton, G. E., Watson, K., Fragala-Pinkham, M. A., Dumas, H. M., Montpetit, K., . . . Haley, S. M. (2009). Development of a parent-report computer-adaptive test to assess physical functioning in children with cerebral palsy I: lower-extremity and mobility skills. Developmental Medicine & Child Neurology, 51(9), 717-724. doi:10.1111/j.1469-8749.2009.03266.x
Tucker, C. A., Montpetit, K., Bilodeau, N., Dumas, H. M., Fragala-Pinkham, M. A., Watson, K., . . . Haley, S. M. (2009). Development of a parent-report computer-adaptive test to assess physical functioning in children with cerebral palsy II: upper-extremity skills. Developmental Medicine & Child Neurology, 51(9), 725-731. doi:10.1111/j.1469-8749.2009.03267.x
van der Linden, W. J., & Glas, C. A. W. (2000). Computerized adaptive testing: Theory and practice. New York, Boston, Dordrecht, London, Moscow: Kluwer Academic.
van der Linden, W. J., & Hambleton, R. K. (1996). Handbook of Modern Item Response Theory: New York: Springer.
Veerkamp, W. J., & Berger, M. P. (1997). Some new item selection criteria for adaptive testing. Journal of Educational and Behavioral Statistics, 22(2), 203-226.
Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., Mislevy, R. J., Steinberg, L., & Thissen, D. (2000). Computerized adaptive testing: A primer. 2nd edition. Hillsdale, N.J.: Erlbaum.
Walkenbach, J. (2010). Excel 2010 power programming with VBA (Vol. 6): Wiley.
Wang, T., & Vispoel, W. P. (1998). Properties of ability estimation methods in computerized adaptive testing. Journal of Educational Measurement, 35(2), 109-135.
Webster, J., & Compeau, D. (1996). Computer-assisted versus paper-and-pencil administration of questionnaires. Behavior Research Methods, Instruments, & Computers, 28(4), 567-576.
Zimowski, M. F., Muraki, E., Mislevy, R. J., & Bock, R. D. (2003). BILOG-MG: Scientific Software International.
王天苗, 蘇建文, 廖華芳, 林麗英, 鄒國蘇, & 林世華. (1998). 嬰幼兒綜合發展測驗之編製報告. 測驗年刊, 45, 19-46.
余民寧. (2009). 試題反應理論(IRT)及其應用. 台北市: 心理.
吳雪玉, 廖華芳, 姚開屏, 李旺祚, 王天苗, & 謝正宜. (2005). “嬰幼兒綜合發展測驗”動作分測驗與“皮巴迪動作發展量表第二版”的診斷準確度. 台灣醫學, 9(3), 312-322. doi:10.6320/fjm.2005.9(3).02
汪家琦, & 陳嘉玲. (2015). 發展學齡前兒童動作發展評估量表. (碩士論文), 長庚大學, 桃園市. Retrieved from http://handle.ncl.edu.tw/11296/ndltd/90572654278548978978 (103CGU05789001)
周弘傑. (2005a). 漫淡嬰幼兒的生長與發展(上). 健康世界(232), 31-33.
周弘傑. (2005b). 漫談嬰幼兒的生長與發展(下). 健康世界(235), 70-74.
周弘傑. (2005c). 漫談嬰幼兒的生長與發展(中). 健康世界(233), 41-44.
洪碧霞, 吳鐵雄, 黃千綺, 江秋坪, & 許宏彬. (1992). 能力估計法、題庫特質及終止標準對CAT考生能力估計影響之研究. 測驗年刊, 39, 249-267.
孫世恆, 吳昇光, & 林千惠. (2009). 學前兒童粗大動作品質量表之研發 (NSC-97-2410-H-039-002-MY3). Retrieved from http://ir.ncue.edu.tw/ir/bitstream/987654321/11057/1/972410H039002MY3%5B0605%5D.pdf
徐澄清, 蘇喜, 蕭淑貞, 林家青, 宋維村, & 張珏. (1978). 學齡前兒童行爲發展量表之修訂及初步常模之建立. Acta Paediatrica Sinica, 19(2), 142-157.
郭伯臣, 吳慧珉, & 陳俊華. (2012). 試題反應理論在教育測驗上之應用. 新竹縣教育研究集刊, 12, 05~40.
陳世銘, 張俊欽, & 郭伯臣. (2008). 以a-鄰近法為選題策略之電腦化適性測驗系統. [A Computerized Adaptive Test System Based on a-Nearest-Neighbor Strategy]. 測驗統計年刊(16), 33-54.
陳柏熹. (2006). 能力估計方法對多向度電腦化適性測驗測量精準度的影響. 教育心理學報, 38(2), 195-211.
陳純真, 李怡娟, & 簡莉盈. (2005). 兒童發展篩檢測驗工具之探查. 護理雜誌, 52(1), 44-49. doi:10.6224/jn.52.1.44
陳錫鴻, 郭伯臣, & 劉湘川. (2005). 智能障礙學生數學能力評估電腦化適性測驗建置之研究. 中華民國特殊教育學會年刊, 94, 275-287.
黃宏宇. (2012). 漸進隨機選題之最大優先指數法在電腦化適性測驗之應用與選題控制成效之檢驗. 測驗學刊, 59(3), 349-372.
黃惠玲. (2000). 零歲至六歲兒童發展篩檢量表. 台北市: 心理.
衛生福利部國民健康署. (2014). 兒童健康手冊. 臺北市:國民健康署.
鄭芬蘭, & 蔡惠玲. (2002). 丹佛兒童發展篩檢測驗本土化之試探研究─以精細動作與粗動作為例. 測驗年刊, 49(1), 89-106.
鄭玲宜. (2005). 「台北學前兒童發展檢核表」信效度分析與修訂研究 (93001-63-002). Retrieved from http://tci.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi?o=dnclret&s=id=%22TCI0001993714%22.&searchmode=basic&tcihsspage=tcisearch_opt2_search
錢才瑋, 王文中, & 胡慶文. (2008). 電腦化適性測驗在日常生活活動功能量表上之應用. 醫療資訊雜誌, 17(1), 1-14.
羅鈞令. (2010). 動作問卷簡易量表指導手冊. 台北市: 心理.
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1. 王天苗, 蘇建文, 廖華芳, 林麗英, 鄒國蘇, & 林世華. (1998). 嬰幼兒綜合發展測驗之編製報告. 測驗年刊, 45, 19-46.
2. 周弘傑. (2005a). 漫淡嬰幼兒的生長與發展(上). 健康世界(232), 31-33.
3. 周弘傑. (2005b). 漫談嬰幼兒的生長與發展(下). 健康世界(235), 70-74.
4. 周弘傑. (2005c). 漫談嬰幼兒的生長與發展(中). 健康世界(233), 41-44.
5. 洪碧霞, 吳鐵雄, 黃千綺, 江秋坪, & 許宏彬. (1992). 能力估計法、題庫特質及終止標準對CAT考生能力估計影響之研究. 測驗年刊, 39, 249-267.
6. 郭伯臣, 吳慧珉, & 陳俊華. (2012). 試題反應理論在教育測驗上之應用. 新竹縣教育研究集刊, 12, 05~40.
7. 陳世銘, 張俊欽, & 郭伯臣. (2008). 以a-鄰近法為選題策略之電腦化適性測驗系統. [A Computerized Adaptive Test System Based on a-Nearest-Neighbor Strategy]. 測驗統計年刊(16), 33-54.
8. 陳柏熹. (2006). 能力估計方法對多向度電腦化適性測驗測量精準度的影響. 教育心理學報, 38(2), 195-211.
9. 陳純真, 李怡娟, & 簡莉盈. (2005). 兒童發展篩檢測驗工具之探查. 護理雜誌, 52(1), 44-49. doi:10.6224/jn.52.1.44
10. 黃宏宇. (2012). 漸進隨機選題之最大優先指數法在電腦化適性測驗之應用與選題控制成效之檢驗. 測驗學刊, 59(3), 349-372.
11. 鄭芬蘭, & 蔡惠玲. (2002). 丹佛兒童發展篩檢測驗本土化之試探研究─以精細動作與粗動作為例. 測驗年刊, 49(1), 89-106.
12. 錢才瑋, 王文中, & 胡慶文. (2008). 電腦化適性測驗在日常生活活動功能量表上之應用. 醫療資訊雜誌, 17(1), 1-14.