My citation metrics by July, 2023
- Google Scholar: h-index =23, i10=29 (page, total citations=2658)
- Research Gate:Score=997.7 (page, higher than 97% & 96% RG members in Edu. Tech., & AI)
- 2021, 2020 World’s Top 2% Scientists (2021, 2020年度科學影響力)
A.Peer Reviewed Journal Articles ( *the corresponding author; †postdoc or advisee)
吳俊育 (2023) . 推動 AI 科技與知識通用化的 現況與挑戰 。人文與社會科學簡訊 ， 24(3) ，40-44 。
Lin, H.-M., Wu, J.-Y., Liang, J.-C.*, Lee, Y.-H., Huang,-P., Kwok, O. M., & Tsai, C.-C. (2023). A review of using multilevel modeling in e-learning research. Computers & Education, 104762. (SSCI: 2022 IF: 12.00, Q1)
Liao, C.-H., & Wu, J.-Y.* (2023). Learning analytics on video-viewing engagement in a flipped statistics course: Relating external video-viewing patterns to internal motivational dynamics and performance. Computers & Education, 197, 104754. (SSCI: 2022 IF: 12.00, Q1)
Weng, M.-C.†, Liao, C.-H.†, Kwok, O. M., & Wu, J.-Y.* (2023). What is the best model of grit among junior high students: Model selection, measurement invariance, and group difference. Social Development, 1-17. (SSCI: 2022 IF: 2.00, Q3)
Wu, J.-Y., & Tsai, C.-C.* (2022). Harnessing the power of promising technologies to transform science education: prospects and challenges to promote adaptive epistemic beliefs in science learning. International Journal of Science Education, 44(2), 346-353. (SSCI: 2022 IF: 2.300, Q3)
Liao, C.-H.†, & Wu, J.-Y.* (2022). Deploying multimodal learning analytics models to explore the impact of digital distraction and peer learning on student performance. Computers & Education, 104599. (SSCI: 2022 IF: 12.00, RF:1/269, Q1)
粘美玟†、程姿螢†、吳俊育*（2021）以學習者為中心之應用統計翻轉課程設計與成效評估 。教學實踐研究 ， 1 (2) ，53-79 。doi:10.7007/JSoTL.202106_1(2).0003
Wu, J.-Y.*, & Nain, M.-W.† (2021). The dynamics of an online learning community in a hybrid statistics classroom over time: Implications for the question-oriented problem-solving course design with the social network analysis approach. Computers & Education , 166, 104120. (SSCI: 2021 IF: 11.182, RF:2/270, Q1)
Wu, J.-Y.*, Liao, C.-H.† , Nain, M.-W.† , & Cheng, T.† (2021). Using data analytics to investigate attendees’ behaviors and psychological states in a virtual academic conference. Educational Technology & Society, 24(1). (SSCI: 2021 IF: 2.633, Q2)
– Special Issue on “Online synchronous conference.”
Wu, J.-Y.*, Yang, C.C.Y., Liao, C.-H.† , & Nian, M.-W.† (2021).Analytics 2.0 for precision education: An integrative theoretical framework of the human and machine symbiotic learning. Educational Technology & Society, 24(1). (SSCI: 2021 IF: 2.633, Q2)
– Special Issue on “Precision Education – A New Challenge for AI in Education.”
Wu, J.-Y. (2021). Learning analytics on structured and unstructured heterogeneous data sources: Perspectives from procrastination, help-seeking, and machine-learning defined cognitive engagement. Computers & Education, 163, 104066. doi:10.1016/j.compedu.2020.104066 (SSCI: 2021 IF: 11.182, RF:2/270, Q1)
吳俊育 (2020). 無畏疫情、數位自主不停學 。人文與社會科學簡訊，22 (1) ，26-29。
Wu, J.-Y. (2020). The predictive validities of individual working-memory capacity profiles and note-taking strategies on online search performance. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12441 (SSCI: 2020 IF: 3.862, Q1)
Wu, J.-Y.*, Hsiao, Y.-C.† , & Nian, M.-W.† (2020). Using supervised machine learning on large-scale online forums to classify course-related Facebook messages in predicting learning achievement within the personal learning environment. Interactive Learning Environments, 28 (1), 65-80. https://doi.org/10.1080/10494820.2018.1515085 (SSCI: 2020 IF: 3.928, Q1)
Wu, J.-Y.*, & Cheng, T.† (2019). Who is better adapted in learning online within the personal learning environment? Relating gender differences in cognitive attention networks to digital distraction. Computers & Education, 128, 312–329. https://doi.org/10.1016/j.compedu.2018.08.016 (SSCI: 2019 IF: 5.296, Q1)
Kwok, O.*, Cheung, M. W.-L., Jak, S., Ryu, E.,Wu, J.-Y. (2018). Editorial: Recent advancements in structural equation modeling (SEM): From both methodological and application perspectives. Frontiers in Psychology. (SSCI: 2018 IF: 2.129).
Wu, J.-Y.*, & Xie, C.† (2018). Using time pressure and note-taking to prevent digital distraction behavior and enhance online search performance: Perspectives from the load theory of attention and cognitive control. Computers in Human Behavior, 88, 244–254. https://doi.org/10.1016/j.chb.2018.07.008 (SSCI: 2018 IF:4.306)
Wu, J.-Y.*, Lee, Y.-H., & Lin, J. J. H.† (2018). Using iMCFA to perform the CFA, multilevel CFA, and maximum model for analyzing complex survey data. Frontiers in Psychology, 9, 291. https://doi.org/10.3389/fpsyg.2018.00251 (SSCI: 2018 IF: 2.129)
Wu, J.-Y. (2017). The indirect relationship of media multitasking self-efficacy on learning performance within the personal learning environment: Implications from the mechanism of perceived attention problems and self-regulation strategies. Computers & Education, 106, 56–72. https://doi.org/10.1016/j.compedu.2016.10.010 (SSCI: 2017 IF: 4.538)
Wu, J.-Y.*, Lin, J. J. H.† , Nian, M.-W.† , & Hsiao, Y.-C.† (2017). A solution to modeling multilevel confirmatory factor analysis with data obtained from complex survey sampling to avoid conflated parameter estimates. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01464 (SSCI: 2017 IF: 2.089)
Wu, J.-Y.*, & Peng, Y.-C.† (2017). The modality effect on reading literacy: perspectives from students’ online reading habits, cognitive and metacognitive strategies, and web navigation skills across regions. Interactive Learning Environments, 25(7), 859-876. https://doi.org/10.1080/10494820.2016.1224251 (SSCI: 2017 IF: 1.604)
Clemens, N. H.*, Lai, M. H. C., Burke, M., & Wu, J.-Y. (2017). Interrelations of growth in letter naming and sound fluency in kindergarten and implications for subsequent reading fluency. School Psychology Review, 46(3), 272–287. https://doi.org/10.17105/SPR-2017-0032.V46-3 (SSCI: 2017 IF: 1.521)
Wu, J.-Y.(2015). University students’ motivated attention and use of regulation strategies on social media. Computers & Education, 89, 75-90. https://doi.org/10.1016/j.compedu.2015.08.016 (SSCI: 2015 IF: 2.881)
Wu, J.-Y.*, & Hughes, J. N. (2015). Teacher network of relationships inventory: Measurement invariance of academically at-risk students across ages 6 to 15. School Psychology Quarterly, 30(1), 23-36. https://doi.org/10.1037/spq0000063 (SSCI, 2015 IF: 2.750)
Liu, L. –F.*, Weng, R. –H, & Wu, J.-Y.* (2014). Exploring factors influencing residents’ health outcomes in long-term care facilities: one year follow-up using latent growth curve model. Quality of Life Research, 23(9), 2613-2627. https://doi.org/10.1007/s11136-014-0710-z (as one of corresponding authors with equal contribution; SSCI: 2014 IF: 2.486)
Chen, C. T., She, H.C., Chuang M. H., Wu, J.-Y., Tsai, J. L. & Jung, T.P. (2014). Eye movements predict students’ computer-based assessment performance of physics concepts in different presentation modalities. Computers & Education, 74, 61-72. https://doi.org/10.1016/j.compedu.2013.12.012 (SSCI: 2014 IF: 2.556)
Wu, J.-Y.* (2014). Gender differences in online reading engagement, metacognitive strategies, navigation skills and reading literacy. Journal of Computer Assisted Learning, 30(3), 252-271. doi: 10.1111/jcal.12054 (SSCI: 2014 IF: 1.360)
Wu, J.-Y.*, Kwok, O. & Willson, V. (2014). Using design-based latent growth curve modeling with cluster-level predictors to address dependency. Journal of Experimental Education, 82(4), 431–454. doi:10.1080/00220973.2013.876226 (SSCI: 2014 IF: 1.087)
Clemens, N. H.*, Shapiro, E. S., Wu, J.-Y., Taylor, A., & Caskie, G. L. (2014). Monitoring early first-grade reading progress: A comparison of two measures. Journal of Learning Disabilities. 47(3), 254-270. doi: 10.1177/0022219412454455 (SSCI: 2014 IF: 1.901)
Lee, Y. & Wu, J.-Y.* (2013). The indirect effects of online social entertainment and information seeking activities on knowledge of metacognitive strategies and reading literacy. Computers & Education, 67, 168-177. doi:10.1016/j.compedu.2013.03.001 (SSCI&SCIE: 2013 IF: 2.630) ,
Lee, Y., Waxman, H. C., Wu, J.-Y., Michko, G. M., & Lin, G. (2013). Revisit the effect of teaching and learning with technology. Educational Technology & Society, 16(1), 133-146. (SSCI: 2013 IF: 0.824)
Spilt, J., Hughes, J. N.*, Wu, J.-Y., & Kwok, O. (2012). Dynamics of teacher-student relationships: Stability and change across elementary school and the influence on children’s academic success. Child Development, 83(4), 1180–1195. doi: 10.1111/j.1467-8624.2012.01761.x. (SSCI, 2012 IF: 4.915)
Lee, Y., & Wu, J.-Y.* (2012). The effect of individual differences in the inner and outer states of ICT on engagement in online reading activities and PISA 2009 reading literacy: Exploring the relationship between the old and new reading literacy. Learning and Individual Differences, 22(3), 336-342. doi:10.1016/j.lindif.2012.01.007. (SSCI: 2012 IF: 1.507)
Hughes, J. N.*, Wu, J.-Y., Kwok, O., Villarreal, V. & Johnson, A. Y. (2012). Indirect effects of child reports of teacher-student relationship on achievement. Journal of Educational Psychology, 104(2), 350-365. doi:10.1037/a0026339 (SSCI: 2012 IF: 3.158)
Wu, J.-Y.*, & Kwok, O.* (2012). Using structural equation modeling to analyze complex survey data: A comparison between design-based single-level and model-based multi-level approaches. Structural Equation Modeling-A Multidisciplinary Journal, 19(1), 16–35. doi:10.1080/10705511.2012.634703. (SCI/SSCI, 2012 IF: 4.242)
Wu, J.-Y.*, Hughes, J. N., & Kwok, O. (2010). Teacher-student relationship quality type in elementary grades: Effects on trajectories for achievement and engagement. Journal of School Psychology, 48(5), 357-387. doi: 10.1016/j.jsp.2010.06.004. (SSCI, 2010 IF: 2.680)
Zhang, D.*, Willson, V., Katsiyannis, A., Barrett, D. E., Ju, S., & Wu, J.-Y. (2010). Truancy offenders in the juvenile justice system: A multi-cohort replication study. Behavioral Disorders, 35(5), 229-242. (SSCI, 2010 IF: 0.684)
B. Manuscript Under Review or In Preparation
Wu, J. Y. (In Preparation). Detecting students’ emotion during a statistics oral exam using machine learning: Correlation between the machine classified emotion and students’ performance.
Wu, J. Y. (In Preparation). Combining social network analysis and machine classified Facebook posts to identifying students at risk of failing a statistics course: An application of artificial intelligence.
Wu, J. Y. (In Preparation). Using web-based serious simulation game to teach middle school students’ financial literacy: Perspectives from students’ critical thinking
C. Books/Book Chapters
吳俊育, 粘美玟†, & 程姿螢†. (2020). 百川學子引領自學新潮流. In 王蒞君 & 劉奕蘭 (Eds.), 化鏡為窗：大數據分析強化大學競爭力 (1st ed.). 國立交通大學出版社. http://www.books.com.tw/products/001085707
Kwok, O., Cheung, M. W.-L., Jak, S., Ryu, E., & Wu, J.-Y. (2019) Recent advancements in structural equation modeling (SEM): From both methodological and application perspectives. Quantitative Psychology and Measurement. Frontiers in Psychology.
Wu, J.-Y. (2017). Findings and implications of students’ ICT questionnaire. In H.-C. She & H. Lin (Eds.), Taiwan Student Performance on PISA 2015 (1st ed., pp. 287–332).
Wu, J.-Y., & Willson, V. (2010). Expected value. In N. Salkind (Ed.), Encyclopedia of research design. Thousand Oaks, CA: Sage.
D.Selected Professional Presentations (Since 2006）[slides索取辦法]
Ho, Y.-L., Lee, Y.-H., and Wu, J.-Y.* ( August, 2023). Understanding digital distraction, workload, and flow tendency in the personal learning environment. Paper will be presented at the 2023 American Psychology Association Convention (APA 2023). Washington D.C., United States.
Liao, C.-H., Chung, H.-J., and Wu, J.-Y.* (July, 2023). Peer feedback in online learning communities: Its effectiveness on internal motivation from the perspective of self-determination theory. Paper presented at 23rd IEEE International Conference on Advanced Learning Technologies (ICALT 2023). Utah. [manuscript][slides]
Juan, Y.-C., Liao, C.-H., and Wu, J.-Y.* (April, 2023). Assessing Academic Interest Development for Taiwanese University Students. Paper presented at 2023 American Educational Research Association (AERA) Annual Meeting, Chicago.[manuscript][slides]
王鈞亞、廖晨瑄、阮以箴、吳俊育* (May, 2023). 混成式學習中統計影片背景音效與性別差異對學業情緒的影響. Paper presented at the 17th Taiwan E-Learning Forum (TWELF 2023). National Kaohsiung Normal University, Taiwan.
廖晨瑄、阮以箴、吳俊育*(December, 2022). 不同性別統計學習者的學習任務價值探討. Paper presented at the the 2022 中國測驗學會年會暨學術推廣工作坊. Tainan, Taiwan.[manuscript][slides]
Ho, Y.-L.,Liao, C.-H., and Wu, J.-Y.* (September, 2022). Using unsupervised machine learning to model Taiwanese high-school students’ digital distraction profiles concerning Internet gaming disorder. Paper presented at the The 30th International Conference on Computers in Education (ICCE 2022). Online.[manuscript][slides]
Liao, C.-H., Hsu, Y.-S., and Wu, J.-Y.* (May, 2022). Implementing a Personal Learning Environment with Learning Dashboard in Statistics Courses and Investigating its Effect on Statistical Anxiety. Paper presented at the 26th Global Chinese Conference on Computers in Education (GCCCE2022). National Tsing Hua University, Taiwan.
Weng, M.-C., Liao, C.-H., and Wu, J.-Y.* (April, 2022). Learner’s social goals and their engagements in blended learning statistics classrooms. Paper will be presented at the 2022 American Educational Research Association Annual Meeting (AERA 2022), , San Diego, CA. [manuscript][slides]
許員韶、廖晨瑄、吳俊育* (March, 2021). 學習分析儀表板對研究生學業延宕行為影響. Paper presented at the 16th Taiwan E-Learning Forum (TWELF 2022). National Taitung University, Taiwan.[manuscript][slides]
Ho, Y.-L., Liao, C.-H., and Wu, J.-Y.* (December, 2021). Investigate the mediation effect of independence learning tendency between self-regulation strategy and learning performance in a Taiwanese high school. Paper will be presented at the 2021 National Chair Professorship Series: “Forward thinking, Interdisciplinary Research” Postgraduate Research Excellence Conference. National Taiwan Normal University, Taiwan.[manuscript][slides]
Ho, Y.-L., Liao, C.-H., and Wu, J.-Y.* (November, 2021). The preliminary analysis of the association between Taiwan senior high school students’ digital distraction, learning procrastination, and autonomous learning. Paper will be presented at the Taiwan Association for Educational Communications and technology (TAECT 2021). [manuscript][slides]
毛泑棠、吳俊育* (December, 2021).探討學生筆記使用經驗與混成式課程筆記科技介入程度之關聯性. Paper will be presented at the 2021 National Chair Professorship Series: “Forward thinking, Interdisciplinary Research” Postgraduate Research Excellence Conference. National Taiwan Normal University, Taiwan.
許員韶、廖晨瑄、吳俊育* (December, 2021).探討線上學習者的學業延宕傾向與延宕程度對學習表現影響. Paper will be presented at the 2021 中國測驗學會年會暨學術推廣工作坊. National Taiwan Normal University, Taiwan.[manuscript][slides]
Huang-Fu†,C.-Y., Liao, C.-H., Wu, J.-Y.* (July, 2021). Comparing the performance of machine learning and deep learning algorithms classifying messages in Facebook learning group. Paper presented at the 21st IEEE International Conference on Advanced Learning Technologies (ICALT 2021). Online. MOST-108-2511-H-009 -013 -MY3.
楊昌軒*、吳俊育(2021, March).適用於統計課程口試環境的統計焦慮情緒偵測系統建置. Paper presented at the 15th Taiwan E-Learning Forum (TWELF 2021). National Ilan University of Education, Taiwan. MOST-108-2511-H-009 -013 -MY3 .(獲得傑出論文獎)
Nian, M.-W., Liao, C.-H., Wu, J.-Y.* (2021, January).Exploring the relationship between students’ interactions and learning outcomes in the Facebook learning group of the blended courses. Paper presented at the 2020 National Chair Professorship Series:”Forward thinking, Interdisciplinary Research” Postgraduate Research Excellence Conference. National Taiwan Normal University, Taiwan.
Nian, M.W., Cheng, T.Y., Hung, H.C., Wu, J.Y. (2020, December).The Correlation between Digital Distraction and Procrastination among Taiwanese Students. Paper presented at the Taiwan Association for Educational Communications and technology (TAECT 2020). Tamkang University, Taiwan. MOST-108-2511-H-009 -013 -MY3.
鍾欣蓉*、粘美玟、吳俊育 (2020, October).國民小學教師工作壓力量表發展與教師壓力現況探討. Paper presented at the 2020 中國測驗學會年會暨學術推廣工作坊. National Taiwan Normal University, Taiwan. MOST-108-2511-H-009 -013 -MY3 .[manuscript][slides]
Huang Fu, C. Y.† ,Nian M. W.† , Wu, J .Y.* (2020, March).藉由非監督式機器學習技術在混成式課程中辨識學業危機學生. Paper presented at the 15th Taiwan E-Learning Forum (TWELF 2020). National Chiao Tung University, Taiwan. MOST-105-2511-S-009 -009 -MY3 & MOST-108-2511-H-009 -013 -MY3 .
Nian M. W.† , Wu, J .Y.* (2020, March).混成式課程線上文章自動分類機器人建置，及課程相關互動和學習 成效關聯探討. Paper presented at the 15th Taiwan E-Learning Forum (TWELF 2020). National Chiao Tung University, Taiwan. MOST-105-2511-S-009 -009 -MY3 & MOST-108-2511-H-009 -013 -MY3 .
Weng, M. J.† , Nian M. W.† , Wu, J .Y.* (2020, March).恆毅力與網路師生關係對台灣國中學生學習投入影響探討. Paper presented at the 15th Taiwan E-Learning Forum (TWELF 2020). National Chiao Tung University, Taiwan. MOST-105-2511-S-009 -009 -MY3 & MOST-108-2511-H-009 -013 -MY3 .
Hsu, Y. C.†, Nian M. W.†, Yang, C. H.†, Lee, Y. H., Wu, J .Y.* (2019, December). Influence of Financial Course on Eighth Grade Students Financial Concepts, Math Motivation, Math Anxiety in Taiwan. Paper presented at the 27th International Conference on Computers in Education (ICCE 2019). Kenting, Taiwan. MOST-105-2511-S-009 -009 -MY3 & MOST-108-2511-H-009 -013 -MY3 .
Nian M. W.†, Wu, J .Y.* (2019, November). The factors that influence undergraduates’ online learning performance: cognitive capacity, sport, and distraction. Paper presented at the Taiwan Association for Educational Communications and technology (TAECT 2019). National Chiao Tung University, Taiwan. MOST-108-2511-H-009 -013 -MY3 .
Hsu, Y. C.†, Nian M. W.†, Lee, Y. H., Wu, J .Y.* (2019, November). Exploring the Relation among Mathematical Learning Motivation, Anxiety and Performance for Junior-high School Students in an Investment Alternative Curriculum. Paper presented at the Taiwan Association for Educational Communications. MOST-108-2511-H-009 -013 -MY3 .
Nian, M. W.†, Lee, Y. H., Wu, J. Y.* (2019, March). Using machine learning to explore the associations among e-reader operations and their predictive validity of learning performance. Paper presented at the 9th International Conference on Learning Analytics & Knowledge (LAK19). Arizona State University, Tempe, AZ. MOST-105-2511-S-009 -009 -MY3.
Nian, M. W.†, Hsu, Y. C.†, Wu, J. Y.* (2018, October). The effect of college students’ working memory capacity, multitasking ability, media multitasking self-efficacy and ICT distraction frequency on their online searching performance. Paper presented at the TANet 2018. National Central University, Taiwan. MOST-105-2511-S-009 -009 -MY3. (Largest Computer Science conference in Taiwan area, Winner of Outstanding Paper Award, 11 winners out of 493 presentations, Blockchain certificate)
Wu, J. Y.*, Nian, M. W.†, Hsu, Y. C.†, Lee, Y. H. (2018, June). Using supervised machine learning algorithms for text classification on online discussion boards. Paper presented at the ICEL 2018. Waseda University, Tokyo, Japan. MOST-104-2628-H-009 -001 -SS3 & MOST-105-2511-S-009 -009 -MY3.
Nian, M. W. †, Hsu, Y. C. †, Wu, J. Y.* (2018, March). The frequencies and the types of online distraction behaviors of college students on desktop and cellphone during online information searching task. Paper presented at the 13th Taiwan E-Learning Forum (TWELF 2018). National Taichung University of Education, Taiwan. MOST-104-2628-H-009 -001 -SS3 & MOST-105-2511-S-009 -009 -MY3.
Hsiao, Y. C. †, Nian, M. W. †, Hsu, Y. C. †, Cheng, T. Y. †, Wu, J. Y.* (2017, December). A statistical document classification system based on machine learning algorithms: Architecture and application in Facebook online discussion group. Paper presented at 2017 Global Chinese Conference on Educational Information and Assessment& Chinese Association of Psychological Testing Annual Conference. National Taichung University of Education, Taiwan. MOST-104-2628-H-009 -001 -SS3 & MOST-105-2511-S-009 -009 -MY3.
Wu, J. Y.*, Lin, J. –H.†, & Lee, Y. –H. † (2017, April). A visual tool to build up multilevel cfa models for multilevel data. Paper presented at the annual meeting of American Educational Research Association, San Antonio, TX. MOST-104-2628-H-009 -001 -SS3.
Cheng, T. Y. †, Wu, J. Y.* (2017, March). The influence of social media uses on students learning outcome. Paper presented at the 12th Taiwan E-Learning Forum (TWELF 2017), National Central University, Taiwan. MOST-105-2511-S-009 -009 -MY3
Wu, J. Y.*(2016, June). Testing longitudinal measurement invariance using majority votes through a sequential procedure. Paper presented at the 4th institute of Mathematical Statistics, Asia Pacific Rim Meeting, Hong Kong. MOST-104-2628-H-009 -001 -SS3.
Wu, J. Y.*, Lin, J. –H. †, & Lee, Y. –H. † (2015, April). Applying design-based, model-based and maximum cfa modeling on multilevel measurement data. Paper presented at the annual meeting of American Educational Research Association, Chicago, IL. NSC-101-2628-H-009-003-MY3.
Chung, P.-C.†& Wu J. Y.*(2014, August). Development of online metacognition scale: Understanding online learners from self-regulated learning perspectives. Paper presented at 2014 IEDRC Singapore conferences, Singapore. NSC-101-2628-H-009-003-MY3.
Wu, J. Y.*, Lee, Y. –H.†, & Lin, J. –H.† (2014, August). Using design-based latent growth curve modeling with cluster-level predictor to address dependency. Paper presented at division 5 (Evaluation, Measurement, and Statistics) of the 2014 annual meeting of American Psychological Association, Washington DC. NSC-101-2628-H-009-003-MY3.
Lee, Y. –H.†, & Wu, J. Y.* (2014, August). College students’ metacognitive profiles on the internet and academic performance. Paper presented at division 46 (Applications and Advances in Technology) of the 2014 annual meeting of American Psychological Association, Washington DC.
Lee, Y. –H.†, Lin, J. –H.† & Wu, J.* (2014, April). Using LISREL to specify unequal level-varying structure for complex survey data. Paper presented at the annual meeting of American Educational Research Association, Philadelphia, PA. NSC-101-2628-H-009-003-MY3.
Huang, L.C.†、Wu, J. Y.*(2013, Oct.). The measurement invariance analysis of teacher-student relationship inventory on Taiwanese teachers and students. Paper presented at 2013 annual meeting of Taiwanese Statistical Methodology Association. National Taichung University of Education. NSC-101-2628-H-009-003-MY3.
Wu, J.*, Lee, Y. -H.† & Hughes, J. N. (2013, July). Ethnic group differences in out of school time use: implications for achievement. Paper presented at division 45 (Ethnic Minority Issues) of the 2013 annual meeting of American Psychological Association, Honolulu, HI. NSC-101-2628-H-009-003-MY3.
Lee, Y. -H.† & Wu, J.* (2013, July). The effect of online reading activities on perceived metacognitive strategies and reading literacy. Paper presented at division 46 (Media Psychology) of the 2013 annual meeting of American Psychological Association, Honolulu, HI. NSC-101-2628-H-009-003-MY3.
Wu, J.* & Hughes, J. N. (2013, April). Measurement invariance of the teacher network of relationships inventory from grades 1-9. Paper presented at the 2013 Society for Research in Child Development (SRCD) Biennial Meeting, Seattle, WA. NSC-101-2628-H-009-003-MY3.
Lee, Y. -H.† & Wu, J.* (2013, April). Examining the inequality of parameter estimates in multilevel complex survey data: A real data simulation study. Paper presented at the annual meeting of American Educational Research Association, San Francisco, CA. NSC-101-2628-H-009-003-MY3.
Wu, J. & Kwok, O. (2013, April). The feasibility of model-based approach to extract latent classes for clustered longitudinal data: A Monte Carlo study. Paper presented at the annual meeting of American Educational Research Association, San Francisco, CA. NSC-101-2628-H-009-003-MY3.
Cheng, T. Y.†, Peng, Y- C.†, & Wu, J. Y.* (2012, Oct.). Development of statistical anxiety scale, statistical attitudes scale and the procrastination scale for Taiwan graduate students in education filed. 2012 Global Chinese Conference on Educational Information and Assessment& Chinese Association of Psychological Testing Annual Conference. National Taiwan Normal University, Taiwan. NSC-101-2628-H-009-003-MY3.
Peng, Y- C.†, Lee, Y.-H.† & Wu, J.* (2012, June). The effects of online reading engagement and relevant page hit on new and old reading literacy : A mediation analysis. Paper presented at 2012 International Conference on Psychological Sciences and Behaviors, Hong Kong, PRC. NSC-100-2410-H-009-057
Wu, J., & Lee, Y.-H.† (2011, July). Testing the effectiveness of three multilevel modeling approaches in addressing data dependency with empirical data under structural equation modeling framework. Paper presented at the annual International meeting of the Psychometric Society, Hong Kong, PRC. NSC-100-2410-H-009-002
Kwok, O., & Wu, J. *(2011, July). Comparing design-based and model-based latent growth models on analyzing longitudinal data: A Monte Carlo study. Paper presented at the annual International meeting of the Psychometric Society, Hong Kong, PRC. NSC-100-2410-H-009-002
Lee, Y.-H., Kwok, O., & Wu, J.* (2011, July). The effect of different compensatory relationships in the variance-covariance structure on the test of fixed effects in a multilevel linear growth curve model. Paper presented at the annual International meeting of the Psychometric Society, Hong Kong, PRC. NSC-100-2410-H-009-002
Wu, J., Kwok, O., Lee, Y.-H., & Hsu, H. (2010, April). Examining the effectiveness of the commonly used fit indices in detecting the potential variation in the between-level model in multilevel structural equation modeling. Paper presented at the annual meeting of American Educational Research Association, Denver, CO.
Lee, Y.-H., Kwok, O., & Wu, J.* (2010, April). Evaluating the impact of different types of misspecification in the within- and between-subject variance-covariance matrices in multilevel models with longitudinal data. Paper presented at the annual meeting of American Educational Research Association, Denver, CO.
Hsu, H., Kwok, O., & Wu, J.* (2010, April). Testing the effectiveness of various commonly used fit indices for detecting misspecification in multilevel models with dichotomous indicators: A Monte Carlo study. Paper presented at the annual meeting of American Educational Research Association, Denver, CO.
Wu, J., Kwok, O., Lee, Y.-H., & Hsu, H. (2009, April). Using structural equation modeling to analyze complex survey data: A comparison of single-level CFA and multilevel CFA. Paper presented at the annual meeting of American Educational Research Association, San Diego, LA.
Wu, J., Wilson, V., & Lee, Y.-H. (2009, April). The effect of ignoring dependency in complex survey data for multilevel growth curve modeling. Poster presented at the annual meeting of American Educational Research Association, San Diego, LA.
Hsu, H., Kwok, O., Wu, J. & Li, Y. (2009, April). Sensitivity of fit indices to misspecified multilevel structural equation models. Paper presented at the annual meeting of American Educational Research Association, San Diego, LA.
Lee, Y.-H., Kwok, O., & Wu, J. (2009, April). Searching for the optimal within-subject covariance structure in longitudinal data analysis using multilevel modeling (MLM): A Monte Carlo study. Paper presented at the annual meeting of American Educational Research Association, San Diego, LA.
Wu, J., Kwok, O. & Hsu, H. (2008, July). Comparing the efficiency of robust estimators and multilevel models on analyzing multilevel data – A Monte Carlo study. Paper presented at the annual meeting of the Psychometric Society, Durham, NH.
Hsu, H., Kwok, O., Zou, Y. & Wu, J. (2008, July). Testing the effectiveness of fit indices in detecting misspecification in multilevel structural equation models: A Monte Carlo study. Paper presented at the annual meeting of the Psychometric Society, Durham, NH.
Lee, Y.-H., & Wu, J. Y. (2006, October). The effectiveness of collaborative online discussion in higher education. Paper presented at annual meeting of the World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, Honolulu, HI.
Wu, J. Y., & Lee, Y.-H. (2006, October). The possibilities in using technology to enhance test accountability. Paper presented at annual meeting of the World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, Honolulu, HI.