Factor structure of the CES-D (Center for Epidemiologic Studies Depression Scale) among Filipino-American adolescents

Edman, Jeanne L.; Danko, George P.; Andrade, Naleen N.; McArdle, John J.; Foster, Judy E.; Glipa, J.

doi:10.1007/s001270050135

Cited by 77 publications

(66 citation statements)

References 25 publications

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“…Besides, since question number 4, 8, 12, and 16 in the 20-question CES-D questionnaire are asked in a positive tone, the results of many studies have turned out to be a bi-factor structure with one positive factor and one negative factor. The results of a study conducted by Miller et al of elderly Mexican Americans (Miller et al, 1997) and the results of a study conducted by Edman et al of 243 Filipino-Americans living in Hawaii (Edman et al, 1999) are both in a bi-factor structure with one positive and one negative.…”

Section: Introductionmentioning

confidence: 85%

“…The CES-D was designed to measure adult depression symptoms. In recent years, it was found that it also has good reliability and validity applying to children and adolescents (Li et al, 2001;Makini et al, 1996;Olsson et al, 1999;Prescott et al, 1998;Edman et al, 1999;Olsson & von Knorring, 1997). The CES-D questionnaire applied in this study was translated by Dr. Chien who has achieved decent validity and reliability from studies of adult samples in Taiwanese communities (Chien & Cheng, 1985).…”

Section: Methodsmentioning

confidence: 99%

“…The CES-D was designed to measure adult depression symptoms. In recent years, it was found that it also has a good reliability and validity applying to children and adolescents (Edman et al, 1999;Li et al, 2001;Makini et al, 1996;Olsson et al, 1999;Prescott et al, 1998;Olsson & von Knorring, 1997).…”

Section: Methodsmentioning

confidence: 99%

“…Many studies applied principal components analysis or factor analysis to verify the validity of CES-D among children or adolescents, and the results were found to be quite effective (Edman et al, 1999;Faulstich et al, 1986;Makini et al, 1996;Olsson & von Knorring, 1997). Symptoms of depression in adolescents are different from those in adults.…”

Section: Introductionmentioning

confidence: 99%

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A Study of Depression Factors in Taiwanese Students of Department of Design

Chang

Chen

2017

EURASIA J MATH SCI T

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Since Taiwan government has aggressively promoted its national capacity of innovative design in recent years, the need for designers with professional knowledge and skills has been increased significantly, and many colleges have established Department of Design accordingly. However, it was found that the fluctuation of mood of students from Department of Design is more significant than that from other Departments. The change in mood influences students' recognition of shapes and colors. This study applied CES-D (Center for Epidemiological Studies Depression) scale to test the current mood status of 120 freshmen from Department of Design and further find out the depression factors. From the factors of the study, six of them have been independent. These factors include "negative affect", "interpersonal problem", "physical and mental fatigue", "sadness and crying", "sleep disorder", and "inappetence". In fact, students from Department of Design appear to have Atypical Depression physically. They conceal the melancholic symptoms so that other people can hardly be aware of their depression. The study results can be the reference for current teachers of design education.

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Section: Introductionmentioning

confidence: 85%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Study of Depression Factors in Taiwanese Students of Department of Design

Chang

Chen

2017

EURASIA J MATH SCI T

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“…For example, if CESD_Flags=3, it means the person has 3 unclear or missing responses from the 20 CES-D questions; if SOMAT_Flags=3, it means the person has 3 unclear or missing responses from the somatic activity CES-D sub-scale. The grouping of the sub-scales was established many years ago [49,50], more recently [6], and arguments for why these subscales are not stable between populations exist in publication [51]. The main point is to show that sub-scale missingness can be identified with the CesdFlags macro provided with this report.…”

Section: Measure Of Incompletenessmentioning

confidence: 84%

An Algorithm for Creating Alternate CES-D Composite Scores: Advancing Research through Methodological Clarity

Siordia¹

2014

J Depress Anxiety

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to contribute to health research literature dealing with psychological assessment by primarily arguing that radical clarity in the procedures undertaken for creating data are necessary if research is to detect a more probable truth as it distances itself from absolute uncertainty. In contribution towards these goals, the project presents and makes available a novel statistical program (originated by author without the use of any external sources) to help data managers create five different variables that can help secondary data user understand the withinperson level of in-completeness for the full CES-D scale and its four sub-scales separately. BackgroundAt the most fundamental level, investigating human health through statistical techniques (e.g., using regression equations) requires numerically coding their behaviors, perceptions, physical attributes, and environments. In order for the legitimacy of statistics to be employed in analyses, human behavior must be converted into a numerical existence-i.e., the abstraction of the physical world must occur with the use of numbers. Numbers attributed with meaning are then explored in a world of equations where results from samples are used to infer population characteristics or where statistical significance is inferred typically using frequentist views on probabilities. Unfortunately, a study participant could be born into the world of numbers through ambiguous mechanisms and careless documentation. Paying attention to how information is handled at the most early stages of data creation is crucial to the value of any subsequent work because the quality of data influences the potential value of results. AbstractThe Center for Epidemiologic Studies Depression Scale (CES-D) is a widely used screening test for depression symptomatology in population studies. Publications have dealt with the psychometric properties of the instrument. Until now, no published work has examined the how questionnaire items are handled in data processing protocols. This technical report introduces the "CESD-Flag" macro algorithm using SAS ® 9.3 syntax. The main contribution of the statistical program in this report is to provide data managers with a program that creates five CES-D flag variables to help identify the level and location of missingness in CES-D related data. The paper highlights implications from how data editing algorithms handle missing or inconclusive responses to CES-D questions. If absolute transparency should be encouraged as a desirable goal, then the methodology used to "clean" CES-D data should be provided along descriptive statistics for the five flag variables (measure of item incompleteness) created by the CESD-Flag program. The assignment of responses through non-evidence based algorithms merits further attention as the use of CES-D continues to proliferate internationally.

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Cultural Diversity in the Development of Child Psychopathology

Serafica¹,

Vargas²

2015

Developmental Psychopathology

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Factor structure of the CES-D (Center for Epidemiologic Studies Depression Scale) among Filipino-American adolescents

Cited by 77 publications

References 25 publications

A Study of Depression Factors in Taiwanese Students of Department of Design

A Study of Depression Factors in Taiwanese Students of Department of Design

An Algorithm for Creating Alternate CES-D Composite Scores: Advancing Research through Methodological Clarity

Cultural Diversity in the Development of Child Psychopathology

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