A bifactor model of the Posttraumatic Growth Inventory

The promotive and protective effects of parents' perceived changes during the COVID-19 pandemic on emotional well-being among U.S. households with young children: an investigation of family resilience processes

Introduction

The COVID-19 pandemic may constitute a traumatic event for families with young children due to its acute onset, the unpredictable and ubiquitous nature, and the highly distressing disruptions it caused in family lives. Despite the prevalent challenges such as material hardships, child care disruptions, and social isolation, some families evinced remarkable resilience in the face of this potentially traumatic event. This study examined domains of changes perceived by parents of young children that were consistent with the post-traumatic growth (PTG) model as factors that facilitate family resilience processes.

Methods

This study drew data from the RAPID project, a large ongoing national study that used frequent online surveys to examine the pandemic impact on U.S. households with young children. A subsample of 669 families was leveraged for the current investigation, including 8.07% Black, 9.57% Latino(a), 74.44% non-Latino(a) White families, and 7.92% households of other racial/ethnic backgrounds. In this subsample, 26.36% were below 200% federal poverty level.

Results

Approximately half of the parents reported moderate-to-large degrees of changes during the pandemic, and the most prevalent domain of change was appreciation of life, followed by personal strengths, new possibilities, improved relationships, and spiritual growth. Black and Latino(a) parents reported more changes in all five domains than White parents and more spiritual growth than parents of the other racial/ethnic groups. Moreover, parent-reported improved relationships were found to indirectly reduce young children's overall fussiness/defiance and fear/anxiety symptoms through reducing parents' emotional distress. Perceived changes in the new possibilities, personal strengths, and appreciation of life domains were found to serve as protective factors that buffered the indirect impacts of material hardship mean levels on child behavioral symptoms via mitigating parents' emotional distress.

Discussion

These findings shed light on resilience processes of a family system in a large-scale, disruptive, and stressful socio-historical event such as the COVID-19 pandemic. The five PTG domains could inform therapeutic and intervention practices in the face of future similar events. Importantly, these findings and the evinced family resilience should not negate the urgent needs of policy and program efforts to address material hardships, financial instabilities, and race/ethnicity-based structural inequalities for families of young children.

Posttraumatic Growth Inventory-Expanded: Factor Structure, Test-Retest Reliability, and Validity in Trauma-Exposed and Bereaved Adults

Posttraumatic growth (PTG) is a positive psychological change experienced after trauma and it has gained global recognition in recent years. The present study aimed to validate a South Korean version of the Posttraumatic Growth Inventory-Expanded (K-PTGI-X) for use with trauma-exposed and bereaved samples. A national sample comprising South Korean adults was used for the analysis. As a result, the 4-factor bi-factor model was best supported in both the trauma and bereaved groups in terms of personal strength, new possibilities, spiritual-existential change, and being able to relate to others. Additionally, the K-PTGI-X showed satisfying reliability, concurrent validity, and discriminant validity. Lastly, regarding the group differences, women showed higher rates of PTG than men and the bereaved group exhibited higher spiritual and existential growth in the PTG than the trauma group. Given these results, implications for adaptation in various fields when assessing and encouraging PTG in practical settings are discussed.

Validation of the Post-Traumatic Growth Inventory in Adolescents Who Lost a Family Member in the Past 4 years: Effects of Time After the Death Event and Gender

Post-traumatic growth is the psychological capacity to perceive positive changes facing high-stress or potentially traumatic events and may be especially useful in lessening their effects in adolescents' lives. Present study aimed to evaluate the psychometric properties of the Post-Traumatic Growth Inventory (PTGI) in 662 Peruvian adolescents who suffered the death of an immediate family member over the last 4 years. Firstly, an exploratory graphical analysis (EGA) was conducted to determine the best parsimonious structure of the instrument and confirmed with its respective factor models. The results report adequate fit indices in the EGA Bifactor model. Furthermore, another structural model is included, which reports significant latent effects of the time elapsed since the relative's death and gender (male) on PTGI general factor. Likewise, gender measure was significantly related to items 3, 7, and 11, which is linked to personal growth.

"Psychometric properties of the Arabic version of the post-traumatic growth inventory with university students in Jordan

Post-traumatic Growth plays a key role to cope with traumatic incidents. The scale for Post-Traumatic Growth Inventory (PTGI) has been used by several researchers in different languages. This study aims to evaluate the Arabic-translated version of the PTGI scale by focusing on its validity in different languages and contexts. This study introduces an Arabic version of the PTGI-M normed with 417 undergraduate students at a large university in Jordan. The internal consistency (Cronbach's alpha) and test-retest reliability of the instrument were 0.97 and 0.82, respectively. Bivariate correlation was used to approximate the concurrent validity (CV). Significant correlations were found between the PTGI-M and the beck depression inventory (BDI), perceived stress scale (PSS), Taylor's manifest anxiety (TMAS), satisfaction with life (SWL), and the Rosenberg self-esteem scale (RSES). Confirmatory factor analysis (CFA) to assess the convergent and discriminant validity of the translated scale. Convergent and discriminant validity was established for the Arabic version of the PTGI-M by conducting a confirmatory factor analysis (CFA). In conclusion, this study proposes that future investigations should consider analysing the total PTGI-M subtotal scores to comprehend the complexity of the post-traumatic growth experience.

Validation of an ultra-short version of the posttraumatic growth inventory in Colombian adults exposed to COVID-19

We aimed to evaluate whether an ultra-short version of the Posttraumatic Growth Inventory (PTGI) has adequate psychometric properties, with a Colombian sample (N = 931) vulnerable to SaRS-CoV-2 infection. Results indicated that adequate indicators of goodness-of-fit, convergent validity, internal consistency, and factorial invariance. Therefore, this instrument is recommended for the screening of posttraumatic growth associated with the COVID-19 pandemic that may be present in the Colombian population.

Adaptation and Psychometric Properties of the Spanish Version of Child and Youth Resilience Measure (CYRM-32)

Resilience is defined as a dynamic process that entails a positive adaptation to contexts of adversity. According to the ecological model, resilient behavior emerges as a result of the interaction between individual, relational, community and cultural variables. The Child and Youth Resilience Measure (CYRM-28), developed in Canada and based on the ecological model, has been validated in several countries. The objective of this article is to present the cultural adaptation (studies I and II) and validation (study III) in Spanish at risk youth. A three-study mixed-method design was selected. Study I includes translations and a confirmatory and exploratory factor analysis of a sample of 270 Spanish young persons (56.9% boys) aged between 12 and 18 years (M = 14.65; SD = 1.27) from an urban public elementary school. Study II uses semi-structured interviews with adolescents identified as resilient and presents a content analysis and a reformulation of items with experts. Study III includes the confirmatory factor analysis, internal consistency, test-retest, convergent and discriminant validity, and multivariate analysis of variance to explore group differences of the resulting scale CYRM-32. The sample consisted of 432 at-risk young persons (54.9% boys) aged between 12 and 19 years old (M = 14.99; SD = 2.23). The results confirm the adequate psychometric properties of the CYRM-32 scale. From the original scale, 4 items were eliminated, 5 were reformulated presenting very low saturations. Meanwhile, 6 items were added to the cultural adaptation phase, resulting in a 32-item scale. The confirmatory analysis confirms the 3 factors expected in the CYRM-32 scale with good reliability indexes (Cronbach's α total scale 0.88, family interaction 0.79, interaction with others 0.72 and individual skills 0.78). The scale has convergent and discriminant validity in relation to the Brief Resilient Coping Scale, Coping Scale for Adolescents and Self-Concept. Significant differences were found in the scores of the CYRM-32 scale for the ethnic variable [F(71. 358) = 1.714, p < 0.001], while no differences appear according to age and gender. This finding confirms the importance of culture in the resiliency processes. The CYRM-32 scale has good psychometric properties and is a new alternative for measuring resilience in Spanish at-risk youth.

Evidence for the interpretation of Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) scores: An argument-based approach to screener validation

In accordance with an argument-based approach to validation, the purpose of the current study was to yield evidence relating to Social, Academic, and Emotional Behavior Risk Screener (SAEBRS) score interpretation. Bifactor item response theory analyses were performed to examine SAEBRS item functioning. Structural equation modeling (SEM) was used to simultaneously evaluate intra- and inter-scale relationships, expressed through (a) a measurement model specifying a bifactor structure to SAEBRS items, and (b) a structural model specifying convergent and discriminant relations with an outcome measure (i.e., Behavioral and Emotional Screening System [BESS]). Finally, hierarchical omega coefficients were calculated in evaluating the model-based internal reliability of each SAEBRS scale. IRT analyses supported the adequate fit of the bifactor model, indicating items adequately discriminated moderate and high-risk students. SEM results further supported the fit of the latent bifactor measurement model, yielding superior fit relative to alternative models (i.e., unidimensional and correlated factors). SEM analyses also indicated the latent SAEBRS-Total Behavior factor was a statistically significant predictor of all BESS subscales, the SAEBRS-Academic Behavior predicted BESS Adaptive Skills subscales, and the SAEBRS-Emotional Behavior predicted the BESS Internalizing Problems subscale. Hierarchical omega coefficients indicated the SAEBRS-Total Behavior factor was associated with adequate reliability. In contrast, after accounting for the total scale, each of the SAEBRS subscales was associated with somewhat limited reliability, suggesting variability in these scores is largely driven by the Total Behavior scale. Implications for practice and future research are discussed.

Posttraumatic Growth Inventory (PTGI): Adaptação e Validade Fatorial no Nordeste Brasileiro

Resumo O presente estudo objetivou verificar os parâmetros psicométricos do Posttraumatic Growth Inventory - PTGI, apresentando evidências de validade fatorial, consistência interna e etapas da sua adaptação transcultural. A amostra foi composta por 205 participantes, sua maioria do sexo feminino (59,03%), com idades variando entre 18 e 86 anos (M = 29,54; DP = 11,43). Estes responderam ao PTGI, Life Stressor Checklist - Revised e perguntas demográficas. Nas análises fatoriais confirmatórias, observa-se o modelo pentaforial como mais adequado para o PTGI, sendo estatisticamente superior ao tri e ao unifatorial. A consistência interna de seus fatores (alfa de Cronbach) variou de 0,70 a 0,86, com alfa geral de 0,92, valores considerados aceitáveis. Conclui-se que essa medida, apresentando evidências de validade de construto, pode ser usada adequadamente em pesquisas no contexto em que foi adaptada, entretanto, recomenda-se o uso do instrumento em amostras mais heterogêneas e a realização de outras análises, observando sua invariância fatorial.

Posttraumatic growth inventory: factor structure in Spanish-speaking people living with HIV

This cross-sectional study analyzed the factorial structure of the Posttraumatic Growth Inventory (PTGI) in a sample of 304 Spanish-speaking HIV-positive adults. Participants completed the PTGI and a socio-demographic questionnaire. Exploratory factor analysis (EFA) was carried out through structural equations modeling, with a Varimax rotation. Factors with eigenvalues greater than 1 were extracted, and items with loadings higher than .5 on a factor and lower than .4 on the rest were retained. Two confirmatory factor analyses (CFA) were performed to test a hierarchical model and a bifactor model. Reliability analyses were conducted. EFA suggested a three-factor model keeping 11 of the original 21 items. The three factors that emerged were changes in philosophy of life, in the self and in interpersonal relationships. CFAs suggested that only the bifactor model fitted the data. The three factors as well as the global scale showed good reliability. The factor structure of PTGI's scores in our data is consistent with the three dimensions theorized by Tedeschi and Calhoun, which speaks in favor of the construct validity of this measure.

The Posttraumatic Growth Inventory: Factor Structure and Invariance in a Sample of Breast Cancer Patients and in a Non-Clinical Sample

The Posttraumatic Growth Inventory (PTGI) is frequently used to assess positive changes following a traumatic event. The aim of the study is to examine the factor structure and the latent mean invariance of PTGI. A sample of 205 (M age = 54.3, SD = 10.1) women diagnosed with breast cancer and 456 (M age = 34.9, SD = 12.5) adults who had experienced a range of adverse life events were recruited to complete the PTGI and a socio-demographic questionnaire. We use Confirmatory Factor Analysis (CFA) to test the factor-structure and multi-sample CFA to examine the invariance of the PTGI between the two groups. The goodness of fit for the five-factor model is satisfactory for breast cancer sample (χ2(175) = 396.265; CFI = .884; NIF = .813; RMSEA [90% CI] = .079 [.068, .089]), and good for non-clinical sample (χ2(172) = 574.329; CFI = .931; NIF = .905; RMSEA [90% CI] = .072 [.065, .078]). The results of multi-sample CFA show that the model fit indices of the unconstrained model are equal but the model that uses constrained factor loadings is not invariant across groups. The findings provide support for the original five-factor structure and for the multidimensional nature of posttraumatic growth (PTG). Regarding invariance between both samples, the factor structure of PTGI and other parameters (i.e., factor loadings, variances, and co-variances) are not invariant across the sample of breast cancer patients and the non-clinical sample.

Applying Bifactor Statistical Indices in the Evaluation of Psychological Measures

The purpose of this study was to apply a set of rarely reported psychometric indices that, nevertheless, are important to consider when evaluating psychological measures. All can be derived from a standardized loading matrix in a confirmatory bifactor model: omega reliability coefficients, factor determinacy, construct replicability, explained common variance, and percentage of uncontaminated correlations. We calculated these indices and extended the findings of 50 recent bifactor model estimation studies published in psychopathology, personality, and assessment journals. These bifactor derived indices (most not presented in the articles) provided a clearer and more complete picture of the psychometric properties of the assessment instruments. We reached 2 firm conclusions. First, although all measures had been tagged "multidimensional," unit-weighted total scores overwhelmingly reflected variance due to a single latent variable. Second, unit-weighted subscale scores often have ambiguous interpretations because their variance mostly reflects the general, not the specific, trait. Finally, we review the implications of our evaluations and consider the limits of inferences drawn from a bifactor modeling approach.