scholarly journals Improving the Measurement of Food Insecurity among People with HIV in South Africa: A Psychometric Examination

2021 ◽  
pp. 1-30
Author(s):  
Jasper S. Lee ◽  
Cengiz Zopluoglu ◽  
Lena S. Andersen ◽  
Amelia M. Stanton ◽  
Jessica F. Magidson ◽  
...  
Keyword(s):  
South Africa ◽  
Food Insecurity ◽  
Factor Structure ◽  
Urban Areas ◽  
Survival Rates ◽  
Bifactor Model ◽  
Hiv Care ◽  
Future Research ◽  
General Factor ◽  
Specific Factors

Abstract Objective: Food insecurity is a structural barrier to HIV care in peri-urban areas in South Africa (SA), where approximately 80% of households are moderately or severely food insecure.(1) For people with HIV (PWH), food insecurity is associated with poor ART adherence and survival rates. Yet, measurement of food insecurity among PWH remains a challenge. Design: This study examines the factor structure of the 9-item Household Food Insecurity Access Scale (HFIAS, isiXhosa-translated) among PWH in SA using a restrictive bifactor model. Setting: Primary care clinics in Khayelitsha, a peri-urban settlement in Cape Town, SA. Participants: Participants (N=440) were PWH who received HIV care in Khayelitsha screening for a clinical trial. Most were categorized as severely (n=250, 56.82%) or moderately (n=107, 24.32%) food insecure in the past 30 days. Results: Revised parallel analysis suggested a 3-factor structure, which was inadmissible. A 2-factor structure was examined but did not adequately fit the data. A 2-factor restrictive bifactor model was examined, such that all items loaded on a general factor (food insecurity) and all but two items loaded on one of two specific additional factors, which adequately fit the data (CFI=0.995, SRMR=0.019). The two specific factors identified were: anxiety/insufficient quality, and no food intake. Reliability was adequate (ω=.82). Conclusions: Results supported the use of a total score, and identified two specific factors of the HFIAS, which may be utilized in future research and intervention development. These findings help identify aspects of food insecurity that may drive relationships between the construct and important HIV-related variables.

scholarly journals Factor Structure and Measurement Invariance Across Gender of the Beck Depression Inventory-II in Adolescent Psychiatric Patients

2020 ◽  
Vol 11 ◽  
Author(s):  
Ferdinand Keller ◽  
Inken Kirschbaum-Lesch ◽  
Joana Straub
Keyword(s):  
Measurement Invariance ◽  
Beck Depression Inventory ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Clinical Sample ◽  
Factor Models ◽  
Bifactor Model ◽  
General Factor ◽  
Factor Analyses ◽  
Specific Factors

The revised version of the Beck Depression Inventory (BDI-II) is one of the most frequently applied questionnaires not only in adults, but also in adolescents. To date, attempts to identify a replicable factor structure of the BDI-II have mainly been undertaken in adult populations. Moreover, most of the studies which included minors and were split by gender lacked confirmatory factor analyses and were generally conducted in healthy adolescents. The present study therefore aimed to determine the goodness of fit of various factor models proposed in the literature in an adolescent clinical sample, to evaluate alternative solutions for the factor structure and to explore potential gender differences in factor loadings. The focus was on testing bifactor models and subsequently on calculating bifactor statistical indices to help clarify whether a uni- or a multidimensional construct is more appropriate, and on testing the best-fitting factor model for measurement invariance according to gender. The sample comprised 835 adolescent girls and boys aged 13–18 years in out- and inpatient setting. Several factor models proposed in the literature provided a good fit when applied to the adolescent clinical sample, and differences in goodness of fit were small. Exploratory factor analyses were used to develop and test a bifactor model that consisted of a general factor and two specific factors, termed cognitive and somatic. The bifactor model confirmed the existence of a strong general factor on which all items load, and the bifactor statistical indices suggest that the BDI-II should be seen as a unidimensional scale. Concerning measurement invariance across gender, there were differences in loadings on item 21 (Loss of interest in sex) on the general factor and on items 1 (Sadness), 4 (Loss of pleasure), and 9 (Suicidal Thoughts) on the specific factors. Thus, partial measurement invariance can be assumed and differences are negligible. It can be concluded that the total score of the BDI-II can be used to measure depression severity in adolescent clinical samples.

scholarly journals Negative Problems Orientation Questionnaire for Chinese Adolescents: Bifactor Model and Measurement Invariance

2020 ◽  
Vol 11 ◽  
Author(s):  
Huiwen Xiao ◽  
Rongmao Lin ◽  
Qiaoling Wu ◽  
Saili Shen ◽  
Youwei Yan
Keyword(s):  
Measurement Invariance ◽  
Bifactor Model ◽  
Chinese Adolescents ◽  
General Factor ◽  
Problem Orientation ◽  
Domain Specific ◽  
Multiple Group ◽  
Gender And Age ◽  
Specific Factors ◽  
Negative Problem Orientation

The Negative Problem Orientation Questionnaire (NPOQ) is a widely used tool for assessing negative problem orientation (NPO). However, its construct and measurement invariance has not been adequately tested in adolescents. The present study explored the possible construct of the NPOQ and its measurement invariance in a sample of 754 Chinese adolescents (51.6% girls, all 12–18 years old). The results supported a bifactor model of the NPOQ that consists of a general factor NPO and three domain-specific factors including perceived threat, self-inefficacy, and negative outcome expectancy. A multiple-group CFA indicated that the bifactor model showed strict invariance across gender and age. The general and domain factors showed unique variance in indexes of worry, depression, anxiety, and stress, which supported well incremental validity of them. This study confirms for a bifactor conceptualization of the NPOQ and its measurement invariance across gender and age in Chinese adolescents. Additionally, it is recommended that the total score should be used to assess NPO in Chinese adolescents.

scholarly journals Factor structure of The Opening Minds Stigma Scale for Health Care Providers and psychometric properties of its Hungarian version

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Dorottya Őri ◽  
Sándor Rózsa ◽  
Péter Szocsics ◽  
Lajos Simon ◽  
György Purebl ◽  
...  
Keyword(s):  
Health Care ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Health Care Providers ◽  
Concurrent Validity ◽  
General Factor ◽  
Care Providers ◽  
Specific Factors ◽  
Test Retest Reliability ◽  
Hungarian Version

Abstract Background The Opening Minds Stigma Scale for Health Care Providers (OMS-HC) is a widely used questionnaire to measure the stigmatising attitudes of healthcare providers towards patients with mental health problems. The psychometric properties of the scale; however, have never been investigated in Hungary. We aimed to thoroughly explore the factor structure of the OMS-HC and examine the key psychometric properties of the Hungarian version. Methods The OMS-HC is a self-report questionnaire that measures the overall stigmatising attitude by a total score, and three subscales can be calculated: Attitude, Disclosure and Help-seeking, and Social Distance. Our study population included specialists and trainees in adult and child psychiatry (n = 211). Exploratory and confirmatory factor analyses were performed, and higher-order factors were tested. We calculated the test-retest reliability on a subgroup of our sample (n = 31) with a follow-up period of 1 month. The concurrent validity of the scale was measured with the Mental Illness: Clinician’s Attitudes-4 scale (MICA-4). Results Three factors were extracted based on a parallel-analysis. A bifactor solution (a general factor and three specific factors) showed an excellent model-fit (root mean square error of approximation = 0.025, comparative fit index = 0.961, and Tucker-Lewis index = 0.944). The model-based reliability was low; however, the general factor showed acceptable reliability (coefficient omega hierarchical = 0.56). The scale demonstrated a good concurrent validity with the MICA-4 [intraclass correlation coefficient (ICC) = 0.77]. The test-retest reliability was excellent for the general factor (ICC = 0.95) and good for the specific factors (ICC = 0.90, 0.88, and 0.84, respectively). Conclusions The three dimensions of the OMS-HC was confirmed, and the scale was found to be an adequate measure of the stigmatising attitude in Hungary. The bifactor model is more favourable as compared to the three correlated factor model; however, despite the excellent internal structure, its model-based reliability was low.

scholarly journals Household Characteristics and Food Security in Low-Income Urban Areas of South Africa

2021 ◽  
Vol 6 (2) ◽  
pp. 263-276
Keyword(s):  
South Africa ◽  
Food Security ◽  
Food Insecurity ◽  
Low Income ◽  
Urban Areas ◽  
Household Head ◽  
Household Size ◽  
Binary Logistic Regression Model ◽  
Gauteng Province ◽  
Food Markets

In South Africa, food security at the household level is an issue still needing empirical attention. This study conducts an empirical analysis on the effect of household size, income of household head, gender of household head, location of the household, and distance from food markets on food security in the Gauteng Province of South Africa. A binary logistic regression model is estimated to analyze determinants of food security from 900 households randomly selected from three townships of Gauteng Province, South Africa. Data was collected using a survey questionnaire, with food security measured by the Household Food Insecurity Access Scale. This study shows that the income of the household head promotes food security while household size and location of the household contribute to food insecurity. Our results also show that the gender of the household head is essential in maintaining sustainable levels of food security. Furthermore, it was found that the distance from food markets neither makes households food secure nor insecure. This study validates that matriarchal households exhibited comparatively greater food security than male-headed households. The findings of this study are essential in formulating policy on food security in low-income areas.

scholarly journals SURVIVAL OF NEW FIRMS OWNED BY NATIVES AND IMMIGRANTS IN NORWAY

2008 ◽  
Vol 13 (01) ◽  
pp. 21-38 ◽  
Author(s):  
EVGUENI VINOGRADOV ◽  
ESPEN J. ISAKSEN
Keyword(s):  
Human Capital ◽  
Survival Rate ◽  
Literature Review ◽  
Urban Areas ◽  
Relevant Literature ◽  
Survival Rates ◽  
Future Research ◽  
Business Survival ◽  
Start Up ◽  
Practical Implications

This paper investigates the survival rates of businesses founded by immigrants and natives in the context of Norway, which has not yet been explored. Based on the relevant literature review, the entrepreneur's human capital and venture's start-up characteristics were expected to explain the differences between the survival rates of businesses established by immigrants and natives. Longitudinal data on 389 firms established in 2002 were analyzed. It was revealed that the survival rate was lower for businesses established by immigrants compared to those established by natives. The analysis suggests that the relatively low survival rate of businesses established by immigrants is partly explained by the perceived novelty of the products and by the fact that immigrants are more likely to locate their businesses in urban areas. Human capital differences were not found to explain immigrant/native differences in business survival rates. Based on these results, several practical implications and suggestions for future research are offered.

scholarly journals Factor structure of Raven's Coloured Progressive Matrices

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Monalisa Muniz ◽  
Cristiano Mauro Assis Gomes ◽  
Sonia Regina Pasian
Keyword(s):  
Standard Deviation ◽  
Factor Structure ◽  
Factor Model ◽  
Specific Factor ◽  
General Factor ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Three Factor

Abstract This study's objective was to verify the factor structure of Raven's Coloured Progressive Matrices (CPM). The database used included the responses of 1,279 children, 50.2% of which were males with an average age of 8.48 years old and a standard deviation of 1.49 yrs. Confirmatory factor analyses were run to test seven models based on CPM theory and on a Brazilian study addressing the test's structure. The results did not confirm the CPM theoretical proposition concerning the scales but indicated that the test can be interpreted by one general factor and one specific factor or one general factor and three specific factors; both are bi-dimensional models. The three-factor model is, however, more interpretable, suggesting that the factors can be used as a means of screening children's cognitive developmental stage.

scholarly journals Application of S-1 Bifactor Model to Evaluate the Structural Validity of TMMS-24

2021 ◽  
Vol 18 (14) ◽  
pp. 7427
Author(s):  
Daniel Ondé ◽  
Jesús M. Alvarado ◽  
Santiago Sastre ◽  
Carolina M. Azañedo
Keyword(s):  
Emotional Intelligence ◽  
Internal Structure ◽  
Internal Consistency ◽  
Structural Complexity ◽  
Bifactor Model ◽  
General Factor ◽  
Hierarchical Relationship ◽  
Promising Tool ◽  
Sum Score ◽  
Specific Factors

(1) Background: Recent studies have shown that the internal structure of TMMS-24 can be conceptualized as a bifactor. However, these studies, based exclusively on the evaluation of the fit of the model, fail to show the existence of a general factor of strong emotional intelligence and have neglected the evaluation of the specific factors of attention, clarity and repair. The main goal of this work is to evaluate the degree of determination and reliability of the specific factors of TMMS-24 using a bifactor S-1 model. (2) Methods: We administered TMMS-24 to a sample of 384 students from middle and high schools (58.1% girls; mean age = 15.5; SD = 1.8). (3) Results: The specific TMMS-24 factors are better determined and present a higher internal consistency than the general factor. Furthermore, the bifactor S-1 model shows the existence of a hierarchical relationship between the attention factor and the clarity and repair factors. The S-1 bifactor model is the only one that was shown to be invariant as a function of the sex of the participants. (4) Conclusions: The S-1 bifactor model has proven to be a promising tool for capturing the structural complexity of TMMS-24. Its application indicates that it is not advisable to use the sum score of the items, since it would be contaminated by the attention factor. In addition, this score would not be invariant either, that is, comparisons by sex would be invalid.

Coping through a drought: the association between child nutritional status and household food insecurity in the district of iLembe, South Africa

2020 ◽  
pp. 1-14
Author(s):  
Roisin E Drysdale ◽  
Urmilla Bob ◽  
Mosa Moshabela
Keyword(s):  
South Africa ◽  
Nutritional Status ◽  
Food Insecurity ◽  
Future Research ◽  
Household Food Insecurity ◽  
Severe Drought ◽  
Anthropometric Measures ◽  
Time Points ◽  
Household Food ◽  
Child Nutritional Status

Abstract Objective: To assess and compare the association between household food insecurity and child nutritional status over two time-points taking into consideration the effects of a severe drought. Design: The study used two cross-sectional household surveys during and after a severe drought, consistent with a natural experiment design. Setting: The study took place in the district of iLembe, KwaZulu-Natal, South Africa. Participants: Households with children aged <5 years were invited to participate in the survey. Anthropometric measures were taken for the respective children in each of the participating households. Results: The results indicated that all forms of poor nutritional status increased over the two time-points, with the most significant increases being for stunting (P < 0·016) and obesity (P < 0·001). There was evidence of an association between increasing food insecurity and stunting (P < 0·003) at the end of the drought, but not wasting, underweight or overweight. The results indicated a strong link between chronic food insecurity and chronic undernutrition. The results also showed stronger evidence of an association between food insecurity and stunting for urban households (P < 0·001) compared to their rural counterparts (P < 0·019). Conclusions: The negative effects of drought appear to contribute to increased rates of child stunting through higher levels of household food insecurity. Future research should assess this relationship through longitudinal studies. Interventions aimed at improving food security may assist in reducing child malnutrition, but policymakers should consider urban–rural differences as well as climatic and environmental events.

scholarly journals Sensory and affective components of symptom perception

2018 ◽  
Vol 9 (2) ◽  
pp. jep.059716 ◽  
Author(s):  
Marta Walentynowicz ◽  
Michael Witthöft ◽  
Filip Raes ◽  
Ilse Van Diest ◽  
Omer Van den Bergh
Keyword(s):  
Undergraduate Students ◽  
Bifactor Model ◽  
Latent Structure ◽  
General Factor ◽  
Symptom Perception ◽  
Confirmatory Factor ◽  
Patient Health ◽  
Specific Factors ◽  
Affective Components ◽  
Psychometric Studies

Psychological accounts of symptom perception put forward that symptom experiences consist of sensory-perceptual and affective-motivational components. This division is also suggested by psychometric studies investigating the latent structure of symptom reporting. To corroborate the view that the general and symptom-specific factors of a bifactor model represent affective and sensory components, respectively, we performed bifactor models applying confirmatory factor analytic approaches to the Patient Health Questionnaire-15 and the Checklist for Symptoms in Daily Life completed by 1053 undergraduate students. Additionally, we explored the association of latent factors with negative affectivity (NA). For both questionnaires, a bifactor model with one general and several symptom-specific factors revealed the best fit to the data. NA yielded large associations with the general factor, but smaller ones with somatic symptom-specific factors in both questionnaires. The observed latent structure supports a distinction between sensory-perceptual and affective-motivational components, and the association between the NA and the general factor confirms the affective tone of the latter.

Screening Broad Mental Health Problems Among Adolescents: Bifactor Modeling of the YIEPS

2021 ◽  
Author(s):  
Sean N Weeks ◽  
Tyler L Renshaw ◽  
Allysia A. Rainey ◽  
Aubrey Taylor-Hiatt
Keyword(s):  
Mental Health ◽  
Externalizing Problems ◽  
Mental Health Problems ◽  
Global Mental Health ◽  
Measurement Model ◽  
Health Problems ◽  
Bifactor Model ◽  
General Factor ◽  
Specific Factors ◽  
Internalizing And Externalizing

Internalizing and externalizing problems are common targets for school mental health screening. The Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS) were developed separately yet intended as companion self-report screeners. Prior research supports the interpretation of total scores derived from both measures. We extended previous work by investigating the defensibility of a series of integrated measurement models that combined items from the YIPS and YEPS into a single, unified screener (YIEPS). Specifically, we evaluated the viability of (1) a unidimensional measurement model with one factor representing global mental health problems, (2) a correlated-factors model with two latent variables representing internalizing and externalizing problems, and (3) a bifactor model with two specific factors (i.e., internalizing and externalizing) and a general factor representing global mental health problems. Following, we tested the reliabilities of the several factors represented in these models as well as the informational value-added of these competing models. Results indicated that a bifactor YIEPS measurement model had the best data-model fit when integrating the two screeners. However, exploratory analyses suggested a revised alternative bifactor model with three specific factors—parsing attention problems from other externalizing and internalizing content—might be a better bifactor model than the original. Ultimately, we recommend the integrated YIEPS is best understood as measuring three specific factors and one general factor. Reliability findings further suggest the general factor (i.e., global Mental Health Problems) is the most defensible. Future directions for research and practice are discussed.

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