题名

縱貫性網路使用行為對學業成就的影響：潛藏轉移模型分析取向

并列篇名

The Effect of the Internet Use Behavior on Academic Achievement: Latent Transition Model Analysis

DOI

10.6209/JORIES.201912_64(4).0002

作者

曾明基(Ming-Chi Tseng)

关键词

網路使用行為 ； 潛藏轉移模型 ； 學業成就 ； academic achievement ； Internet use behavior ； latent transition model

期刊名称

教育科學研究期刊

卷期/出版年月

64卷4期（2019 / 12 / 01）

页次

31 - 59

内容语文

繁體中文
中文摘要

目前探究網路使用行為對學業成就的影響，僅侷限於橫斷性研究，本研究進一步於縱貫性架構下，探究持續動態變化的網路使用行為對學業成就的影響。基於上述，本研究運用屏東教育長期追蹤資料庫國小四年級至六年級學生的固定追蹤樣本，並採用潛藏轉移模型進行網路使用行為對學業成就影響的動態分析。研究發現，網路使用行為可潛在地區分成五個異質群體，且隨著年級的增加，網路使用行為的轉移機率在不同群體的動態變化有所差異。進一步納進學生性別及學業成就分析發現，性別差異影響網路使用行為，且網路使用行為的潛在異質差異在學業成就上的表現不同。針對上述結果，本研究對網路使用行為的形塑及議題發展提出相關的建議。
英文摘要

The literature on the effect of Internet use behavior on academic achievement has been limited to cross-sectional studies, but this study adopted a longitudinal framework and used the latent transition model to analyze data from the Pingtung Education Longitudinal Survey database. The study found that Internet use behavior can be divided into five heterogeneous groups, and as the grade increases, the transfer rate of Internet use behavior varies among the groups. Further analysis revealed that gender differences influence Internet use behavior, and that the potential heterogeneity of Internet use behaviors depends on academic achievement. This study proposes suggestions relevant to Internet use behavior and development.
主题分类 社會科學 > 教育學
参考文献
  1. 王涵芸, H.-Y.,廖益興, I.-S.(2016)。網路使用行為與學業成就之研究─以新竹市公立國小六年級學生為例。中華行政學報，18，75-95。
    連結：
  2. 吳佩芬, P.-F.,周倩, C.(2016)。國小五年級網路資源合理使用之教學設計行動研究。教育科學研究期刊，61(4)，147-176。
    連結：
  3. 曾明基, M.-C.(2017)。進行多層次建模最小可行的樣本數建議：貝氏模擬取向。教育研究與發展期刊，13(4)，1-26。
    連結：
  4. 曾明基, M.-C.,邱皓政, H.-J.,張德勝, T.-S.,羅寶鳳, P.-F.(2013)。以學生評鑑教師教學量表決定教師開課或去留可行嗎？混合 IRT 分析取向。教育科學研究期刊，58(1)，91-116。
    連結：
  5. 楊志堅, C.-C.,吳齊殷, C.-I.(2001)。潛藏轉移模式在社會縱貫研究之應用：以青少年暴力行為發展研究為例。調查研究，9，5-33。
    連結：
  6. Asparouhov, T.,Muthén, B. O.(2014).Auxiliary variables in mixture modeling: Three-step approaches using Mplus.Structural Equation Modeling: A Mutidisciplinary Journal,21(3),329-341.
  7. Asparouhov, T., & Muthén, B. O. (2014b). Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary second model. Retrieved from http://www.statmodel.com/download/asparouhov_muthen_2014.pdf
  8. Bakk, Z.,Tekle, F. B.,Vermunt, J. K.(2013).Estimating the association between latent class membership and external variables using bias adjusted three-step approaches.Sociological Methodology,43(1),272-311.
  9. Baum, L. E.,Petrie, T.,Soules, G.,Weiss, N.(1970).A maximization technique occurring in the statistical analysis of probabilistic function of Markov chains.Annals of Mathematical Statistics,41(1),164-171.
  10. Biagi, F.,Loi, M.(2013).Measuring ICT use and learning outcomes: Evidence from recent econometric studies.European Journal of Education,48(1),28-42.
  11. Boeschoten, L.,Oberski, D. L.,Waal, T. D.,Vermunt, J. K.(2018).Updating latent class imputations with external auxiliary variables.Structural Equation Modeling: A Multidisciplinary Journal,25(5),750-761.
  12. Celeux, G.,Soromenho, G.(1996).An entropy criterion for assessing the number of clusters in a mixture model.Journal of Classification,13(2),195-212.
  13. Chang, F.-C.,Chiu, C.-H.,Miao, N.-F.,Chen, P.-H.,Lee, C.-M.,Chiang, J.-T.,Pan, Y.-C.(2015).The relationship between parental mediation and Internet addiction among adolescents, and the association with cyberbullying and depression.Comprehensive Psychiatry,57,21-28.
  14. Chen, S.-Y.,Tzeng, J.-Y.(2010).College female and male heavy internet users’ profiles of practices and their academic grades and psychosocial adjustment.Cyberpsychology Behavior and Social Networking,13(3),257-262.
  15. Cho, S. J.,Cohen, A. S.,Kim, S. H.,Bottge, B.(2010).Latent transition analysis with a mixture item response theory measurement model.Applied Psychological Measurement,34(7),483-504.
  16. Choi, H. J.,Temple, J. R.(2016).Do gender and exposure to interparental violence moderate the stability of teen dating violence? Latent transition analysis.Prevention Science,17(3),367-376.
  17. Collins, L. M.,Lanza, S. T.(2009).Latent class and latent transition analysis: With applications in the social, behavioral and health sciences.Hoboken, NJ:John Wiley & Sons.
  18. Collins, L. M.,Wugalter, S. E.(1992).Latent class models for stage-sequential dynamic latent variables.Multivariate Behavioral Research,27(1),131-157.
  19. Geng, J.,Han, L.,Gao, F.,Jou, M.,Huang, C.-C.(2018).Internet addiction and procrastination among Chinese young adults: A moderated mediation model.Computers in Human Behavior,84,320-333.
  20. Kam, C.,Morin, A. J. S.,Meyer, J. P.,Topolnytsky, L.(2016).Are commitment profiles stable and predictable? A latent transition analysis.Journal of Management,42(6),1462-1490.
  21. Kiyici, M.,Kiyici, F. B.,Franklin, T.(2012).Examining freshmen believe concerning ICT usage in K-12 and university settings.Turkish Online Journal of Educational Technology,11(4),427-431.
  22. Koukounari, A.,Donnelly, C. A.,Moustaki, I.,Tukahebwa, E. M.,Kabatereine, N. B.,Wilson, S.,van Dam, G. J.(2013).A latent markov modelling approach to the evaluation of circulating cathodic antigen strips for schistosomiasis diagnosis pre- and post-praziquantel treatment in Uganda.PLoS Computational Biology,9(12),e1003402.
  23. Lin, M.-P.,Wu, J.-Y. W.,You, J.,Hu, W.-H.,Yen, C.-F.(2018).Prevalence of internet addiction and its risk and protective factors in a representative sample of senior high school students in Taiwan.Journal of Adolescence,62,38-46.
  24. Luu, K.,Freeman, J. G.(2011).An analysis of the relationship between information and communication technology (ICT) and scientific literacy in Canada and Australia.Computers & Education,56(4),1072-1082.
  25. Machin, S.,McNally, S.,Silva, O.(2007).New technology in schools: Is there a payoff?.The Economic Journal,117(522),1145-1167.
  26. Marcoulides, G. A.(Ed.),Schumacker, R. E.(Ed.)(2001).New developments and techniques in structural equation modeling.Mahwah, NJ:Lawrence Erlbaum Associates.
  27. Meeus, W.,van de Schoot, R.,Klimstra, T.,Branje, S.(2011).Personality types in adolescence: Change and stability and links with adjustment and relationships: A five-wave longitudinal study.Developmental Psychology,47(4),1181-1195.
  28. Mullis, I. V. S.,Martin, M. O.,Foy, P.,Arora, A.(2012).TIMSS 2011 international results in mathematics.Chestnut Hill, MA:TIMSS & PIRLS International Study Center, Lynch School of Education, Boston College.
  29. Mullis, I. V. S.,Martin, M. O.,Foy, P.,Drucker, K. T.(2012).PIRLS 2011 international results in reading.Chestnut Hill, MA:TIMSS & PIRLS International Study Center, Lynch School of Education, Boston College.
  30. Muthén, B. O.(2008).Latent variable hybrids: Overview of old and new models.Advances in latent variable mixture models,Charlotte, NC:
  31. Muthén, B. O.(2001).Second-generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class/latent growth modeling.New methods for the analysis of change,Washington, DC:
  32. Muthén, B. O.(2002).Beyond SEM: General latent variable modeling.Behaviormetrika,29(1),81-117.
  33. Muthén, B. O., & Asparouhov, T. (2011). LTA in Mplus: Transition probabilities influenced by covariates. Retrieved from http://www.statmodel.com/examples/LTAwebnote.pdf
  34. Muthén, L. K.,Muthén, B. O.(1998).Mplus user’s guide.Los Angeles, CA:Muthén & Muthén.
  35. Papanastasiou, E. C.,Zembylas, M.,Vrasidas, C.(2003).Can computer use hurt science achievement? The USA results from PISA.Journal of Science Education and Technology,12(3),325-332.
  36. Park, J.,Yu, H.-T.(2018).A comparison of approaches for estimating covariate effects in nonparametric multilevel latent class models.Structural Equation Modeling: A Multidisciplinary Journal,25(5),778-790.
  37. Spiezia, V.(2010).Does computer use increase educational achievements? Student-level evidence from PISA.OECD Journal: Economic Studies,1,1-22.
  38. Tsai, M.-J.,Tsai, C.-C.(2010).Junior high school students internet usage and self-efficacy: A re-examination of the gender gap.Computers & Education,54(4),1182-1192.
  39. Vermunt, J. K.(2010).Latent class modeling with covariates: Two improved three-step approaches.Political Analysis,18(4),450-469.
  40. Vermunt, J. K.,Langeheine, R.,Böckenholt, U.(1999).Discrete-time discrete-state latent Markov models with time-constant and time varying-covariates.Journal of Educational and Behavioral Statistics,24(2),179-207.
  41. Wainer, J.,Dwyer, T.,Dutra, R. S.,Covic, A.,Magalhaes, V. B.,Ferreira, L. R. R.,Claudio, K.(2008).Too much computer and internet use is bad for your grades, especially if you are young and poor: Results from the 2001 Brazilian SAEB.Computers & Education,51(4),1417-1429.
  42. Wiggins, L. M.(1973).Panel analysis.Amsterdam, NL:Elsevier.
  43. Wittwer, J.,Senkbeil, M.(2008).Is students’ computer use at home related to their mathematical performance at school?.Computers & Education,50(4),1558-1571.
  44. 行政院研究發展考核委員會（2013）。6-11 歲學童數位學習與數位機會調查。取自http://ws.ndc.gov.tw/001/administrator/10/relfile/0/1000/3121615281771.pdf 【Research, Development Evaluation Commission, Executive Yuan. (2013). 6-11 year old schoolchild digital learning and digital opportunity survey report. Retrieved from http://ws.ndc.gov.tw/001/administrator/10/relfile/0/1000/3121615281771.pdf】
  45. 何惠凱, H.-K.(2015)。高雄市=Kaohsiung, Taiwan，國立高雄師範大學=National Kaohsiung Normal University。
  46. 林俊瑩, C.-Y.(2016)。學科補習之動態變化對學習成就族群落差的影響：以屏東縣小學生為例。教育研究與發展期刊，12(4)，23-56。
  47. 林獻章, X.-Z.(2015)。嘉義縣=Chiayi County, Taiwan，南華大學=Nanhua University。
  48. 邱皓政, H.-J.(2008).潛在類別模式：原理與技術.臺北市=Taipei, Taiwan:五南=Wu-Nan Book.
  49. 邱皓政, H.-J.(2017).多層次模式與縱貫資料分析：Mplus 8 解析應用.臺北市=Taipei, Taiwan:五南=Wu-Nan Book.
  50. 財團法人台灣網路資訊中心（2017）。2017 年台灣寬頻網路使用調查報告 。 取自https://www.twnic.net.tw/download/200307/20170721e.pdf 【Taiwan Network Information Center. (2017). 2017 Taiwan broadband network usage survey report. Retrieved from https://www.twnic.net.tw/download/200307/20170721e.pdf】
  51. 許淑惠, S.-H.(2007)。臺中市=Taichung, Taiwan，靜宜大學=Jingyi University。
  52. 許嘉芳, C.-F.(2009)。嘉義縣=Chiayi County, Taiwan，國立中正大學=National Chung Cheng University。
  53. 曾明基, M.-C.(2013)。花蓮縣=Hualien, Taiwan，國立東華大學=National Donghua University。
  54. 黃連興, L.-X.,許毓華, Y.-H.,許天維, T.-W.(2014)。影響學生學業成就與網路使用行為之相關研究─以桃園縣一所國小為例。臺中教育大學學報：數理科技類，28(1)，1-22。
  55. 黃瑟娟, S.-J.(2011)。臺北市=Taipei, Taiwan，銘傳大學=Ming Chuan University。
  56. 楊易蕙, Y.-H.(2005)。臺南市=Tainan, Taiwan，國立臺南大學=National Tainan University。
  57. 廖思涵, S.-H.(2005)。高雄市=Kaohsiung, Taiwan，國立高雄師範大學=National Kaohsiung Normal University。
  58. 劉雅文, Y.-W.(2010)。新竹市=Hsinchu, Taiwan，中華大學=Chung Hua University。
  59. 蔡秀英, S.-Y.(2009)。臺南市=Tainan, Taiwan，國立臺南大學=National Tainan University。
  60. 蔡政軒, J.-S.(2011)。高雄市=Kaohsiung, Taiwan，國立高雄師範大學=National Kaohsiung Normal University。
  61. 鄧瑞源, R.-Y.(2007)。新竹市=Hsinchu, Taiwan，國立新竹教育大學=National Hsinchu University of Education。
  62. 魏心怡, H.-I.(2001)。臺東市=Taitung, Taiwan，國立臺東師範學院=National Taitung Teacher College。
  63. 嚴增虹, T.-H.(2002)。臺南市=Tainan, Taiwan，國立臺南大學=National Tainan University。
  64. 蘇素敏, S.-M.(2015)。嘉義縣=Chiayi County, Taiwan，南華大學=Nanhua University。
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