Main Article Content
Depression is an illness that involves the body, mood, and thoughts. It interferes
with daily life, normal functioning. The purpose this the research aims to develop a
model of causal factors effecting depression and check the consistency of the model
with empirical data. Latent variables in the model include factor, risk factors, inducing
a protective factor and depression. The data were collected by using the evaluation of
Depression Factors and 9Q. The sample consisted of 350 client in Khonkaen Rajanagarindra
Psychiatric Hospital. Study during October–December, 2015. Aanalyzed using MIMIC model
and causal relationship model analysis involved the use of LISREL 8.80.
The result showed that the causal relationship model of factors that inﬂuence
depression was consistent with empirical data: Goodness of ft statistics were: Chi-Square
0.49, df = 2.00, p-value = 0.78, GFI = 1.00, AGFI = 1.00, CFI =1.00, SRMR = 0.00. The factors
in the model can together explain the variance of depression 62 percent. The include
factor, risk factor, protective factor, inducing factor and depression is the effect size was
0.56, 0.27, 0.26 and 0.04 respectively.
A causal relationship of factors affecting depression showed that the include factor
and risk factor inﬂuence depression and induction factors can reduce depression.
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