5 research outputs found
[[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.