The Construct Validity of the Career Decision Scale Administered to High School Students

1983 ◽  
Vol 31 (4) ◽  
pp. 250-258 ◽  
Author(s):  
BRUCE W. HARTMAN ◽  
DALE R. FUQUA ◽  
PAUL T. HARTMAN
2018 ◽  
Vol 4 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Safa'at Ariful Hudha ◽  
Djemari Mardapi

Attitudinal competence is one the most fundamental concepts in social psychology. It is related to personal identity, moral, and ethics that gains popularity and becomes important in educational development. This research aims to develop an instrument to measure the spiritual attitude of high school students. The study was a research and development study consisting of four stages: (a) determining conceptual definition, (b) determining operational definition, (c) drawing indicators, and (d) constructing instrument. The quantitative data analysis was used to test the construct validity through Confirmatory Factor Analysis and the coefficient of construct reliability was used to estimate the instrument reliability. The results of the study show that: (1) the instrument to measure Moslems’ spiritual attitude is an inventory model of summated rating scale containing 35 items; (2) the construct validity was proven by the value of the standardized loading factor and considered as significant. The instrument reliability regarded as the construct reliability coefficient is 0.890 and the average variance extracted is 0.542; (3) the construct of the instrument produces a fit statistical evidence indicated by the Goodness of Fit Index = 0.91 (≥0.90), and Root Mean Square Error of Approximation = 0.032 (≤0.08). The results indicate that the construct of the measurement is suitable with the data. In addition, this research has confirmed that the spiritual attitude of high school students is constructed by seven aspects, namely resignation (tawakal), sincerity (ikhlas), thankfulness (syukur), patience (shabr), fear (khauf), hopefulness (raja’), and righteousness (takwa).


1987 ◽  
Vol 60 (2) ◽  
pp. 583-589 ◽  
Author(s):  
Laurie Whitman ◽  
Sharon M. Desmond ◽  
James H. Price

A 12-item Depression Locus of Control Scale was given to 117 white high school students. The scale has three subscales, internal (4 items), chance (4 items), and powerful others (4 items). Reliability assessed by test-retest was .55 and Cronbach alphas were for the subscales listed above .63, .73, and .66, respectively. Content validity, criterion-related validity, construct validity, and discriminant validity were examined. Reading level was at the eighth grade. It is recommended that the more specific Depression Locus of Control Scale be used in studies of depression.


2020 ◽  
Vol 19 (1) ◽  
pp. 1-14
Author(s):  
Rose Mini Agoes Salim ◽  
Shahnaz Safitri

It is known that gifted high-school students tend to have difficulty in choosing career due to their wide-range interests and capabilities. In order to successfully making an appropriate career choice, having a high level of career decision making self-efficacy (CDMSE) is an important precondition. CDMSE is the belief in one’s ability to successfully complete the task necessary to make career-related decisions. Of several factors known to be affecting CDMSE, previous study has shown that career decision-making attribution (CDMA) could affect students CDMSE. However, the CDMA effect on CDMSE in gifted student is seemed to be related to personal trait of students, namely emotional intelligence (EI). Therefore, this study aims to examine the moderating role of EI on the impact of gifted high-school student CDMA on CDMSE. Subjects in this study were gifted high school students (N = 165; 52.12% males; M-age = 16.20 years old) in Jakarta. The measurement tools used are CDMSE Scale Short-Form, Assessment of Attribution for Career Decision Making, and Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF) adapted into Indonesian language. The data were analyzed using simple regression analysis with Hayes PROCESS model. It was found that there is a direct effect of CDMA on CDMSE with (F (1,163) = 10.6661, p = .0033 < .001), in which CDMA serves as a predictor of CDMSE. We also found that EI can serve as a predictor of CDMSE (F (1,163) = 10.6661, p = .0007<.001. However, EI did not moderate the CDMA-CDMSE relation. Discussion, limitations, and suggestions for further research are listed. 


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