| 參考文獻 | 參考文獻
林清山 (1974)。 心理與教育統計學。台北：東華書局。
邱皓政 (2003)。 結構方程模式。台北：雙葉書廊有限公司。
李茂能 (1994)。共變數分析的基本與應用。嘉義師範學報，8 , 145-170。
范德鑫 (1992)。共變數分析功能，假設，及使用之限制。師大學報，37, 133-163。
吳幼吾 (1988)。共變數分析之基本概念。初等教育學報，1，121-142。
?忠麟、張雷、侯杰泰 (2004)。因果關係中的第三者:調節變數和仲介變數。論
文發表於第六屆海峽兩岸心理與教育測驗學術研討會，西安，中國。
Aiken, L. S., & West, S. G..(1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.
Arbuckle, J. L.(1995). Sorbom's alternative to analysis of covariance. Amos Users' Guyide, Chapter 16. Chicago: Smallwaters.
Atquillah, M.(1964). The robustness of the covariate analysis of one-way classification. Biometrika, 51, 365-373.
Baron, R. M.,& Kenny, D. A.(1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
Carmines, E. G., & McIver, J. P. (1981). Analyzing models with unobservable variables. In G. W. Bohrnstedt & E. F. Borgotta (Eds.), Social measurement: Current issues (pp. 65-115). Beverly Hills, CA: Sage.
Cochran, W. G..(1957). Analysis of covariance: Its nature and uses. Biometrics, 13, 261-281.
Elashoff, J. D.(1969). Analysis of covariance: A delicate instrument. American Educational Research Journal, 6, 383-401.
Evans, S. H.,& Anastasio, E. H.(1968). Misuse of analysis of covariance when treatment effect and covariate are confounded. Psychological Bulletin, 69, 225-234.
Frigion, J. Y.,& Laurencelle, L.(1993). Analysis of covariance.Educational and Psychological Measurement, 53, 1-18.
Feldt, L. S.(1958). A comparison of the precision of the three experimental design. Psychometrika, 23, 335-353.
Huitema, B. E.(1980). The analysis of covariance and alternatives. New York: John Wiley & Sons.
Hu, L.,& Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55.
Johnson, P. O.,& Neyman, J.(1963). Test of certain linear hypothrses and their application to some educational problems. Statistical Research Memoirs, 1, 57-93.
James, L. R.,& Brett, J. M.(1984). Mediarors, moderators and tests for mediation. Journal of Applied Psychology, 69(2), 307-321.
Jaccard, J.,& Wan, C. K.(1995). Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: multiple indicator and structural equation approaches. Psychological Bulletin, 117(2), 348-357.
Judd, C. M.,& Kenny, D. A.(1981). Process analysis: Estimating mediation in treatment evaluations. Evaluation Review, 5(5), 602-619.
Lord, F. M.(1960). Large-sample covariance analysis when the control variable is fallible. Journal of the American Statistical Association, 55, 307-321.
Muth?n, L. K.,& Muth?n, B. O.(2004). Mplus User’s Guide. (3rd Ed.). Los Angeles,CA: Muth?n & Muth?n.
Marascuilo, L. A.,& Serlin, R. C.(1988). Stastistical methods for the social and behavioral sciences. New York: W. H. Freeman and Company.
Mandansky, A.(1959). The fitting of the straight lines when both variables subject to error. American Statistical Association Journal, 54, 173-205.
Pedhazur, E. J.(1982). Multiple regression in behavioral research(2nd ed). Texas: Holt, Rinehart & Winston.
Rutherford, A.(1992). Alternatives to traditional analysis of covariance. Journal of Mathematical and Statistical Psychology, 45, 197-223.
Rogosa, D.(1980). Comparing nonparallel regression lines. Psychological Bulletin, 88, 307-327.
Sorbom, D.(1974). A general method for studying differences in factor means and factor structure across groups. British Journal of Mathematical and Statistical Psychology, 27, 229-239.
Sorbom, D.(1978). An alternative to the methodology for analysis of covariance. Psychometrika, 43, 381-396.
Shavelson, R.(1988). Statistical reasoning for the behavioral sciences(2nd ed). Boston: Allyn and Bacon, inc.
Stevens, J.(1986). Applied multivariate statistics for the social sciences. Hillside, New Jersey: Lawrence Erlbaum Associates.
Schumacker, R. E.,& Marcoulides, G.. A.(1998). Interaction and nonlinear effects in structural equation modeling.Mahwah, NJ: Lawrence Erlbaum Associates.
Wu, Y. W.(1985). The effects of violating the homogeneous regression slopes assumptions on the robustness of the analysis of covariance. Educational Bulletin, 6, 24-40.
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