scholarly journals Validation of the Center for Epidemiologic Studies Depression Scale in Black Single Mothers

2014 ◽  
Vol 22 (3) ◽  
pp. 511-524 ◽  
Author(s):  
Rahshida Atkins
Keyword(s):  
Construct Validity ◽  
Single Mothers ◽  
Factor Structure ◽  
Community Sample ◽  
Depression Scale ◽  
Anger Expression ◽  
Epidemiologic Studies ◽  
Final Sample ◽  
Black Single Mothers ◽  
Psychometric Evidence

Background and Purpose: The purpose of this study was to investigate the factor structure of the Center for Epidemiologic Studies Depression (CES-D) scale in a community sample of Black single mothers and to evaluate the scale’s construct validity. Methods: Principal components and exploratory factor analysis were used. The participants responded to the CES-D scale and Spielberger’s State-Trait Anger Expression Inventory. Results: The final sample consisted of 208 Black single mothers aged 18–45 years. A 2-factor structure was accepted. Construct validity was confirmed via significant correlations with the anger scales. A method artifact for the 2-factor solution was ruled out. Conclusion: The CES-D scale is valid for use with Black single mothers. Additional psychometric evidence for the CES-D for Black single mothers is warranted.

scholarly journals A systematic review of the latent structure of the Center for Epidemiologic Studies Depression Scale (CES-D) amongst adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joanna M. Blodgett ◽  
Chantelle C. Lachance ◽  
Brendon Stubbs ◽  
Melissa Co ◽  
Yu-Tzu Wu ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Cultural Differences ◽  
Factor Structure ◽  
English Language ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Latent Structure ◽  
Future Research ◽  
Primary Analysis ◽  
The Usa

Abstract Background The Centre for Epidemiologic Studies Depression Scale (CES-D) is a commonly used psychometric scale of depression. A four-factor structure (depressed affect, positive affect, somatic symptoms, and interpersonal difficulties) was initially identified in an American sample aged 18 to 65. Despite emerging evidence, a latent structure has not been established in adolescents. This review aimed to investigate the factor structure of the CES-D in adolescents. Methods We searched Web of Science, PsychINFO and Scopus and included peer-reviewed, original studies assessing the factor structure of the 20-item CES-D in adolescents aged ≤18. Two independent researchers screened results and extracted data. Results Thirteen studies met the inclusion criteria and were primarily from school-based samples in the USA or Asia. Studies that conducted confirmatory factor analysis (CFA; n = 9) reported a four-factor structure consistent with the original factor structure; these studies were primarily USA-based. Conversely, studies that conducted exploratory factor analysis (EFA) reported distinct two or three factor structures (n = 4) and were primarily based in Asia. Limitations Studies in a non-English language and those that included individuals aged > 18 years were excluded. Ethnic or cultural differences as well as different analytical methods impacted generalisability of results. The use of CFA as the primary analysis may have biased towards a four-factor structure. Conclusions A four-factor CES-D structure was an appropriate fit for adolescents in Western countries; further research is required to determine the fit in in Asian countries. This has important implications for clinical use of the scale. Future research should consider how cultural differences shape the experience of depression in adolescents.

Confirmatory factor structure of the Center for Epidemiologic Studies-Depression scale (CES-D) in mild-to-moderate traumatic brain injury

Brain Injury ◽  
2006 ◽  
Vol 20 (5) ◽  
pp. 519-527 ◽  
Author(s):  
Stephen R. McCauley ◽  
Claudia Pedroza ◽  
Sharon A. Brown ◽  
Corwin Boake ◽  
Harvey S. Levin ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Factor Structure ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Moderate Traumatic Brain Injury ◽  
Confirmatory Factor

Psychometric Assessment of the Adult-Adolescent Parenting Inventory in a Sample of Low-Income Single Mothers

2001 ◽  
Vol 9 (3) ◽  
pp. 291-308 ◽  
Author(s):  
Melanie Lutenbacher
Keyword(s):  
Depressive Symptoms ◽  
Construct Validity ◽  
Single Mothers ◽  
Corporal Punishment ◽  
Factor Structure ◽  
Low Income ◽  
Reliability And Validity ◽  
Role Reversal ◽  
Three Dimensions ◽  
Adolescent Parenting

The Adult-Adolescent Parenting Inventory (AAPI) is a 32-item inventory widely used to identify adolescents and adults at risk for inadequate parenting behaviors. It includes four subscales representing the most frequent patterns associated with abusive parenting: (a) Inappropriate Expectations; (b) Lack of Empathy; (c) Parental Value of Corporal Punishment; and (d) Parent-Child Role Reversal. Although it has been used in a variety of samples, the psychometric properties of the AAPI have not been examined in low-income single mothers. The purposes of this study were to: (a) examine the reliability and validity of the Adult-Adolescent Parenting Inventory (AAPI) in a sample of 206 low-income single mothers; (b) assess the mother’s risk for inadequate parenting by comparing their AAPI subscale scores with normative subscale scores on the AAPI; (c) assess the construct validity of the AAPI by testing the hypothesis that mothers with lower AAPI scores have a higher level of depressive symptoms and lower self-esteem in comparison to mothers with higher AAPI scores; and (d) determine whether the 4-factor structure proposed by Bavolek (1984) could be replicated. AAPI scores indicated these mothers were at high risk for child abuse when compared with normative data for parents with no known history of abuse. Higher risk for abusive parenting was associated with a higher level of depressive symptoms, less education, and unemployment. The subscales, Inappropriate Expectations and Parental Value of Corporal Punishment demonstrated poor internal consistency with Cronbach’s alphas of .40 and .54, respectively. Hypothesis testing supported the construct validity of the AAPI. Bavolek’s 4-factor structure was not supported. A 19-item modified version of the AAPI with three dimensions was identified. This modified version of the AAPI may provide a more efficacious tool for use with low-income single mothers.

scholarly journals Factor Structure and Invariance Analysis of the Center for Epidemiologic Studies Depression Scale – Revised (CESD-R) in a Brazilian Population

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Andre Faro ◽  
◽  
Daiane Nunes dos Santos ◽  
William W. Eaton ◽  
◽  
...  
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Brazilian Population ◽  
Screening Tools ◽  
Initial Structure ◽  
Fit Indices ◽  
Reliability Indicators ◽  
Confirmatory Factor

Introduction: The Center for Epidemiologic Studies Depression Scale – Revised (CESD-R) was developed to provide an efficient screening scale for depression syndrome, mimicking the original CESD, one of the most widely used screening tools to measure depressive symptoms globally. This investigation examined the factor structure of the CESD-R with a non-clinical Brazilian population. Method: We performed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) of two adult samples, and also conducted invariance analysis by sex and place of residence of the participants. The full sample consisted of 1,427 adults, divided into two groups. The first sample (n = 400) was used for the EFA and the second sample (n = 1027) for the CFA. Results: The EFA indicated an internal structure composed of a single factor, which explained 53.2% of the variance. The CFA attested to the unidimensionality of the measure. Fit indices and reliability indicators showed values higher than expected, without modifications in the initial structure. The model was invariant in relation to the variables investigated at four different levels (configural, metric, scalar, and strict). Conclusions: Our findings support the utility of the CESD-R and suggest its validity for application to the Brazilian population in general.

scholarly journals Retrospective development of a novel resilience indicator using existing cohort data: The adolescent to adult health resilience instrument

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243564
Author(s):  
Diana Montoya-Williams ◽  
Molly Passarella ◽  
Scott A. Lorch
Keyword(s):  
Factor Analysis ◽  
Data Collection ◽  
Construct Validity ◽  
Depression Scale ◽  
Add Health ◽  
Epidemiologic Studies ◽  
Adult Health ◽  
Cohort Data ◽  
Resilience Scale ◽  
Existing Data

Background Cohort studies represent rich sources of data that can be used to link components of resilience to a variety of health-related outcomes. The Adolescent to Adult Health (Add Health) cohort study represents one of the largest data sets of the health and social context of adolescents transitioning into adulthood. It did not however use validated resilience scales in its data collection process. This study aimed to retrospectively create and validate a resilience indicator using existing data from the cohort to better understand the resilience of its participants. Methods Questions asked of participants during one Add Health data collection time period (N = 15,701) were matched to items on a well-known and widely validated resilience scale called the Connor Davidson Resilience Scale. Factor analysis and psychometric analyses were used to refine and validate this novel Adolescent to Adult Health Resilience Instrument. Construct validity utilized participants’ answers to the 10 item Center for Epidemiologic Studies Depression Scale, which has been used to validate other resilience scales. Results Factor analysis yielded an instrument with 13 items that showed appropriate internal consistency statistics. Resilience scores in our study were normally distributed with no ceiling or floor effects. Our instrument had appropriate construct validity, negatively correlating to answers on the depression scale (r = -0.64, p<0.001). We also found demographic differences in mean resilience scores: lower resilience scores were seen among women and those who reported lower levels of education and household income. Conclusions It is possible to retrospectively construct a resilience indicator from existing cohort data and achieve good psychometric properties. The Adolescent to Adult Health Resilience Instrument can be used to better understand the relationship between resilience, social determinants of health and health outcomes among young adults using existing data, much of which is publicly available.

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