GSES之原作者以CFA與PCA驗證量表的因素結構,結果為單一因素結構。
資料出處:Scholz, U., Gutiérrez-Doña, B., Sud, S., & Schwarzer, R. (2002). Is general self-efficacy a universal construct? Psychometric findings from 25 countries. European Journal of Psychological
Assessment, 18(3), 242-251. (點選書目可以看到全文)
以下表格彙整了我在Medline與PsycInfo二個資料庫當中,搜尋到的一般自我效能量表 (General self-efficacy scale, GSES)的因素結構驗證的結果。
結果共有八篇論文探討GSES的因素結構。
資料分析方式以羅序分析與驗證性因素分析為主。
論文的研究族群差異頗大,包含SCI個案、病態肥胖的成人、中老年人、一般成人、大學生、思覺失調症個案。
結果顯示GSES為單一因素者佔多數,也有研究結果顯示GSES為二因素、三因素或二階三因素結構。
又,結果為單一因素結構的五篇論文中,有三篇的結果顯示GSES為明顯的單一因素結構。一篇的結果顯示:刪除量表的前三題後,GSES為明顯的單一因素結構GSES。一篇的結果顯示GSES雖為單一因素結構,但可解釋變異量未達50%。
由此彙整結果可知:GSES之因素結構較可能是單一因素結構。
資料出處:Scholz, U., Gutiérrez-Doña, B., Sud, S., & Schwarzer, R. (2002). Is general self-efficacy a universal construct? Psychometric findings from 25 countries. European Journal of Psychological
Assessment, 18(3), 242-251. (點選書目可以看到全文)
以下表格彙整了我在Medline與PsycInfo二個資料庫當中,搜尋到的一般自我效能量表 (General self-efficacy scale, GSES)的因素結構驗證的結果。
結果共有八篇論文探討GSES的因素結構。
資料分析方式以羅序分析與驗證性因素分析為主。
論文的研究族群差異頗大,包含SCI個案、病態肥胖的成人、中老年人、一般成人、大學生、思覺失調症個案。
結果顯示GSES為單一因素者佔多數,也有研究結果顯示GSES為二因素、三因素或二階三因素結構。
又,結果為單一因素結構的五篇論文中,有三篇的結果顯示GSES為明顯的單一因素結構。一篇的結果顯示:刪除量表的前三題後,GSES為明顯的單一因素結構GSES。一篇的結果顯示GSES雖為單一因素結構,但可解釋變異量未達50%。
由此彙整結果可知:GSES之因素結構較可能是單一因素結構。
出處
|
資料分析方式
|
研究族群
|
結果
|
Claudio, P., Alarcos, C., & Szilvia, G. (2014).
Rasch analysis of the General Self-Efficacy Scale in spinal cord injury.
Journal of Health Psychology, 19, 544-555.
|
Rasch analysis
|
SCI
|
1. overall fit to the Rasch model
2.
high
reliability (rp = 0.92)
3.
ordered
response scale structure
4.
no DIF
|
Bonsaksen,
T., Kottorp, A., Gay, C., Fagermoen, M. S., & Lerdal, A. (2013). Rasch
analysis of the General Self-Efficacy Scale in a sample of persons with
morbid obesity. Health & Quality of Life Outcomes, 11, 202.
|
Rasch
analysis
|
adults
with morbid obesity
|
1.
delete item1~3
2.
Cronbach’s alpha=0.93
3. First
component explained 64.5% of total variance
4.
separate the respondents into three distinct levels
5.
DIF in relation to age, education or work status
|
Leung,
D. Y., & Leung, A. Y. (2011). Factor structure and gender invariance of
the Chinese General Self-Efficacy Scale among soon-to-be-aged adults. Journal
of Advanced Nursing, 67, 1383-1392.
|
CFA
|
community-dwelling
Chinese soon-to-be-aged adults
|
1.
One factor model (CFI = 0.96, SRMR = 0.04 and
RMSEA = 0.06 )
2.
both genders demonstrating an equivalent pattern of factor loadings
3.
Cronbach’s alpha= 0.89
|
Yildirim,
F., & Ilhan, I. O. (2010). [The validity and reliability of the general
self-efficacy scale-Turkish form]. Turk Psikiyatri Dergisi, 21, 301-308.
|
EFA
|
18
years of age that had at least 5 years of education
|
1.
3-factor structure
2.
explained 41.5% of the observed variance
3.
Cronbach's alpha = 0.80
4.
test-retest reliability = 0.69.
|
Wu, C.
H. (2009). Factor analysis of the general self-efficacy scale and its
relationship with individualism/collectivism among twenty-five countries:
Application of multilevel confirmatory factory analysis. Personality and
Individual Differences, 46, 699-703.
|
Conventional
confirmatory factor analysis
|
persons
from 25 countries
|
1.
single latent factor
structure
2.
χ 2 (35) = 1645.19, p < 0.01, CFI = 0.971, TLI = 0.963,
RMSEA = 0.049
|
Scherbaum,
C. A., Cohen-Charash, Y., & Kern, M. J. (2006). Measuring General
Self-Efficacy: A Comparison of Three Measures Using Item Response Theory.
Educational and Psychological Measurement, 66, 1047-1063.
|
IRT
|
students
enrolled at a large northeastern university
|
1. unidimensionality
2.
first eigenvalue accounted 43%.
|
Chiu,
F. P., & Tsang, H. W. (2004). Validation of the Chinese general
self-efficacy scale among individuals with schizophrenia in Hong Kong.
International Journal of Rehabilitation Research, 27, 159-161.
|
EFA
|
schizophrenia
|
1.
internal consistency (0.92-0.93)
2.
test re-test reliability (0.75-0.94)
3.
two-factor solution explaining 69.0% of variance
|
Bosscher,
R. J., & Smit, J. H. (1998). Confirmatory factor analysis of the General
Self-Efficacy Scale. Behaviour Research & Therapy, 36, 339-343.
|
CFA
|
Aging
population
|
a model
with 3 correlated factors and one higher-order
factor
|
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