1 |
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
DOI
|
2 |
Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling. (Third ed.). NY: The Guilford Press.
|
3 |
Kunter, M., Frenzel, A., Nagy, G., Baumert, J., & Pekrun, R. (2011). Teacher enthusiasm: Dimensionality and context specificity. Contemporary Educational Psychology, 36, 289-301.
DOI
|
4 |
MacCallum, R. C., & Kim, C. (2000). Modeling multi variate change. InT. D. Little, K. U. Schnabel, & U. Lindenberg(Eds.), Modeling Longitudinaland Multiple-Group Data: Practical Issues, Applied Approaches, and Specific Examples. Mahwah, NJ: Lawrence Erlbaum.
|
5 |
Mullis, I. V. S., Martin, M. O., Ruddock, G. J., O'Sullivin, C. Y., Arora, A., & Erberber, E. (2005). TIMSS 2007 Assessment Framework. TIMSS & PIRLS International Study Center, Lynch School of Education. Boston College.
|
6 |
McLachlan, G., & Peel, D.(2000). Finite mixture models. New York: Wiley.
|
7 |
Okada, H., Hirano, D., & Taniguchi, T. (2020). Negative symptoms in schizophrenia: modeling the role of experience factor and expression factor. Asian Journal of Psychiatry, 53, 102182.
DOI
|
8 |
So, H. J., & Kim, B. (2009). Learning about problem based learning: Student teachers integrating technology, pedagogy and content knowledge. Australasia Journal of Educational Technology, 25(1), 101-116.
DOI
|
9 |
Wang, M.-C., Deng, Q., Bi, X., Ye, H., & Yang, W. (2017). Performance of the entropy as an index of classification accuracy in latent profile analysis: A Monte Carlo simulation study. Acta Psychologica Sinica, 49(11), 1473-1482.
DOI
|
10 |
Muthen, B., & Muthen, L. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and experimental research, 24(6), 882-891.
DOI
|
11 |
Kim, H. M., Kim, Y. S., & Han, S. Y. (2018). A Longitudinal Analysis on the Relationships Among Mathematics Academic Achievement, Affective Factors, and Shadow Education Participation, School Mathematics, 20(2), 287-306.
DOI
|
12 |
Baek, B. D. (2013). Longitudinal effects of high school students' perceived academic press from teachers on academic achievement: focusing on the interaction with socio-economic status. Journal of Korean Education, 40(2), 31-55.
|
13 |
Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling :concepts, issues, and applications. Mahwah, N.J. : Lawrence Erlbaum Associates.
|
14 |
Sternberg, R. J., & Wiliams, W. M. (2013). Educational Psychology (김정섭, 신경숙, 유순화 역). 스턴버그의 교육심리학. 서울: 시그마프레스. (원저 2009 출간)
|
15 |
Park, C. R. (2003). A study on the descent of the function-chapter in the middle school. Master's thesis, Mokpo University Graduate School of Education.
|
16 |
Song, M. Y., Kim, S. S., Yi, H, S., & Kim J, Y. (2011). Investigation on Contextual Variables Affecting Academic Achievement. Journal of Educational Evaluation, 24(2), 261-289.
|
17 |
Cheong, M. J., Kim, H. K., & Moon, Y. H. (2015). The relationship between Teaching Methods accepted by learners and Academic Achievement Factors on Academic Achievement. Korean journal of youth studies, 27(2), 129-150.
|
18 |
Hyun, J. C., & Cho, M. H. (2014). Identifying Latent Classes in Adolescent's Self-Determination Motivation and Testing Determinants of Classes. The Korean Journal of School Psychology, 11(1), 253-274.
DOI
|
19 |
Bettencourt, E. M. (1980). Effects of training teachers in enthusiasm on student achievement and attitudes.
|
20 |
Celeux, G., & Soromenho, G.(1996) An entropy criterion for assessing the number of cluster in a mixture model. Journal of Classification, 13, 195-212.
DOI
|
21 |
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. NY: The Guilford Press.
|
22 |
NCTM. (2000). Principles and Standards for School Mathmatics. Reston. VA: NCTM.
|
23 |
Long, J. F., & Hoy, A. W. (2006). Interested instructors: A composite portrait of individual differences and effectiveness. Teaching and Teacher Education, 22(3), 303-314.
DOI
|
24 |
Martin, A. J., Linfoot, K., & Stephenson, J. (1999). How teachers respond to concerns about misbehavior in their classroom. Psychology in the Schools, 36(4), 347-358.
DOI
|
25 |
Murphy, J. F., Weil, M., Hallinger, P. & Mitman, A. (1982). Academic Press: Translating High Expectations into School Policies and Classroom Practices. Educational Leadership, 40(3), 22-26.
|
26 |
Go, Y. J. (2018). A study on analysis of actual state of mathmatics renouncers and treatment at the renouncer's level, Master's thesis, Ulsan University Graduate School of Education.
|
27 |
Kim, J. Y., Jang, J. H., & Park, I. W. (2017). A Study on the Effects of the Teachers Characteristics Recognized by Students on Student's Attitude, Self-directed Learning and Academic Achievement. Secondary Education Research, 65(4), 731-758.
DOI
|
28 |
Kim, J. H., & Seo, S. B. (2020). A Study on the Longitudinal Effect of Middle School Students' Self-Recognition, Academic Self-Efficacy, School Adjustment, and Academic Achievement. Journal of Learner-Centered Curriculum and Instruction, 20(10), 365-383.
|
29 |
No, G. S. (2014). Well-informed Thesis Statistical analysis. Han Bit Academy.
|
30 |
Korea Educational Development Institute. (2020). Data collection of the 14th Korean Educational Longitudinal Research Conference. Korea Educational Development Institute.
|
31 |
Kim, S. S. (2007). A study on the effect of school climates on student achievement in Korean middle school: in terms of improving achievement and closing a gap. The Journal of Korean Education, 34(2), 27-49.
|
32 |
Kim, Y. B., Im, H. J., & Kim, N. O. (2012). An Analysis on Class- and Teacher-Level Variables Affecting Academic Achievement. Journal of Korean Education, 34(2), 27-49.
|
33 |
Kim, Y. S. (2020). A longitudinal study on the effect of learner's internal and external factors on mathematics academic achievement: For middle and high school students. Doctoral thesis, Sungkyunkwan University.
|
34 |
Kim, J. H., Hong, S. H., & Kim, M. G. (2009). Writing a thesis with structural equations. Communication Books.
|
35 |
Muthen, B. O., & Asparouhov, T. (2009). Growth mixture modeling: Analysis with non-Gaussian random effects. In Fitzmaurice, G., Davidian, M., Verbeke, G. & Molenberghs, G.(eds.), Longitudinal Data Analysis, pp.143-165. Boca Raton: Chapman & Hall/CRC Press.
|
36 |
Kim, J. W., Yang., J. Y., Lee, C. A., & Hong, S. H. (2019). Changes in Retiree's Depression after Retirement: Applying Growth Mixture Model, survey research, 20(1), 45-72.
DOI
|
37 |
Kim, H. W., & A, S. K. (2021). The relationship among academic self concept, parent's achievement pressure and school's achievement pressure. Journal of Learner-Centered Curriculum and Instruction, 11(3), 1-18.
|
38 |
Ryu, B. R., & Kim, S. S. (2006). Educational Gap: An analysis of the influence of family background and schooling. Seoul: Korea Educational Development Institute.
|
39 |
Chi, E. L., Yang, M. H., & Cheong, Y. S. (2011). Effects of teachers' activities for instruction and evaluation on students' self-regulated Learning and academic achievement. The Journal of Elementary Education, 24(4), 165-184.
|
40 |
Kim, Y. S. (2021). A Longitudinal Study on the Influence of Learning Effort, Attitude, and Achievement Goal on Mathematics Academic Achievement: For elementary and secondary school students. Education of Primary School Mathematics, 24(1), 1-20.
DOI
|
41 |
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149.
DOI
|
42 |
Park, K. H. (2020). Korean Education Longitudinal Study 2013 (VIII): Survey Overview Report. Korea Educational Development Institute.
|
43 |
Park, H. U., Choi, B. H., & Shin, J. H. (2017). A Longitudinal Relationship among Disruptive Classroom Behavior, Teacher Enthusiasm, and Coercive Discipline in Middle School Students using Autoregressive Cross-lagged Model. Asian journal of education, 18(4), 563-588.
DOI
|
44 |
Baem B. R. (2016). Mplus 7.0 structural equation modeling. Cheongnam publishing.
|
45 |
Soo, Y. H. (2011). Analysis of the structural relations between Learners' perception on instruction, self-directed Learning, Learning flow, and academic achievement. The Journal of Child Education, 20(2), 19-32.
|
46 |
Son, Y. H. (2016). The Longitudinal Effects of student's Private Tutoring Time and Self-Studying Time on Longitudinal Change of Academic Achievement. Master's thesis, Seoul National University.
|
47 |
Hong, S. U. (2009). Analysis of large-scale academic achievement evaluation data using growth model. Collection of the 3rd KICE Curriculum Evaluation Policy Forum.
|
48 |
Song, J. S. (2015). SPSS/AMOS statistical analysis method required for thesis writing. 21st century history.
|
49 |
Lee, H. S., & Chung, J. Y. (2001). An Analysis of the Influence of Teachers' Traits on Student Achievement - Focusing on Teachers' Efforts to Enhance Professionality in TIMSS 2007. The Journal of Korean Teacher Education, 28(1), 243-266.
DOI
|
50 |
Choi, D. H. (2012). The effect of school achievement pressure on academic achievement: Focusing on the discriminatory effect according to socioeconomic background. Master's thesis, Korea University.
|
51 |
Brigham, F. J., Scruggs, T. E., & Mastropieri, M. A. (1992). Teacher enthusiasm in learning disabilities classrooms: effects on learning and behavior. Learning Disabilities Research & Practice, 7(2), 68-73.
|
52 |
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long(Eds), Testing structural equation models(pp. 136-162). Newbury Park, ca: SAGE.
|
53 |
Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factory analysis. Psychological Methods, 1(1), 16-29.
DOI
|
54 |
Duncan, T. E., & Duncan, S. C. (2004). An introduction to latent growth curve modeling. Behavior Therapy, 35(2), 333-363.
DOI
|
55 |
Hattie, J. (2003). Teachers make a difference. What is the research evidence?. Paper presented at the Australian Council for Educational Research. Melbourne, Victoria.
|