[[alternative]]The Theory Testing of Combing Meta-Analysis and Structure Equation Modeling. For Example: Stress- Moderator-Response Model’s Building and Confirmation.

[[abstract]]The Theory Testing of Combing Meta-Analysis and Structure Equation Modeling. For Example: Stress- Moderator-Response Model’s Building and Confirmation. Bao-Yuan Hwang ABSTRACT There are three purposes in this research.Ⅰ.Explore the main content of stressor and moderator variable. Ⅱ. Analyze the relations between each observed variable of the SMR model in meta-analysis. Ⅲ. The theory of structure equation modeling (SEM) testifies to the theory of SMR model. In the first stage of exploring the main content of stressor and moderator variable, after reviewing the related theories, the researcher assumes that an individual will maintain equilibrium function by reducing negative stress through personality characteristics and social support when he accepts various stresses, Between the relations of each observed variable, after the 116 individual research work, 429 comparison, and the correlation coefficient among 13 observed variable which is collected in meta-analysis, we can find all the correlation coefficient are significant. At least we can get a correlation matrix of 13 × 13, and the correlation matrix regards as the data entry in the testimony of the third stage modeling. In the third stage, according to the model of SMR in building the model, the researcher adopts the data from second stage to verify the goodness of fit of the SMR Model. As a result we can find this research of the theoretical model has the fairly ideal goodness of fit in the probation of each goodness of fit. And the work stress, life stress, personality characteristics, social support, and physical and psychological health show the effectiveness in moderator function. On the other hand, both of personality characteristics and social support work for its moderator. And the result also supports the view and hypothesis of this research.

[[alternative]]A Meta-Analysis of Validity Generalization

[[abstract]]This research aims at objective and statistical analysis on the investigat ivedata Ko's Mental Health Questionnaire (KMHQ) in the past thirty-four yearst o get some idea about the extent of KMHQ's validity generalization. Thi s research collects eighty-seven surveys and research papers onKMHQ from compu ter index, the ancestry approach and the information suppliedby Mr. Ke Yeong-h e. Regarding to the quality rating standard and researchcategory set by this research, fifty-two pieces are chosen to serveas the fundamental database of t his research. Then according to the testers' characteristic the fifty-two sur vey reports are classified into six independent variable categories for this research. They are psychological-invalids, nonpsychological-invalids, physica l-invalids, criminals, specialclans and sex. Last but not least, this resear ch employ the computer programMeta-HC developed by Cang Jao-tzer and the resea rcher as the analyzing tool. The research reveals that in the psychological -invalids there have eight subtests weighted average effect size "d" reaching mid and up, in the nonpsychological-invalids there have six subtests weighted average effect size "d" reaching mid and up, in the physical-invalids there ha ve only two subtests weighted average effect size "d" reaching mid and up, in the criminals therehave five subtests weighted average effect size "e" reachin g mid and up, in the special clans there have seven subtests weighted average effect size "d" reaching mid and up, and in the sex there have only two subtests weighted average effect size "d" reaching mid and up. Th is showing that KMHQ's standard of validity generalization is pretty high, tha t the distinction is obvious, and it is an effective distinguishable perso nality test. Among the six independen t variables, the weighted average effect size of the psychological-invalids i s the highest, meaning that KMHQ's distinguishing capability being the strong est. The next three independent variables are special clans, nonpsychologica l-invalids and criminals. However, the effect size on physical-invalids and se x only reach mid or low degree, showing that KMHQ's distinguishing capability on physical-invalids and sex is not high. This research has quite abundant result through deliberate research design; however, since the obtainable info rmation is limited. For example, research papers on specific psychologic al invalids are very few and thus cannot be singled out as one indepen dent variable for analysis unit. As a result, this research cannot have a bsolute judgement on KMHQ's distinguishing capability on specific psycho logical invalids. What we can say is that, generally speaking, KMHQ certainl y has distinguishing capability on no npsychological invalids. That is, prese ntly handy information is the survey, but the diagnosis function is a bit ins ufficient. To sum up, the utmost conclusion of this essay is that, the extent of KMHQ's validity generalization is pretty hi gh, its distinguishing capability is pretty idealized. Therefore, KMHQ is a personality test that deserves to be further developed, studied as well as pop ularly adopted.

[[alternative]]統合分析

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[[alternative]]統合分析取向

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[[alternative]]結合統合分析與結構方程模式二計量方法

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