Invariance Of Factor Loadings Research Articles

Evaluating the measurement invariance of the parenting practices scale in the Caribbean

The purpose of this study was to assess the factor structure and measurement invariance of the three-factor (nurturance, monitoring, discipline) 29-item Parenting Practices Scale across four Caribbean islands—Jamaica, St. Kitts and Nevis, The Bahamas, and St. Vincent and the Grenadines—with data from 1948 adolescent Caribbean grade 10 students. Exploratory factor analysis and confirmatory factor analysis were conducted, and the findings supported the original three-factor model, and factor loading invariance was found across the four Caribbean islands. These findings suggest that this parenting measure may be used to compare perceptions of parental behaviors among adolescents in the English-speaking Caribbean with some limitations that are discussed.

Modeling Cluster-Level Constructs Measured by Individual Responses: Configuring a Shared Approach

When multiple items are used to measure cluster-level constructs with individual-level responses, multilevel confirmatory factor models are useful. How to model constructs across levels is still an active area of research in which competing methods are available to capture what can be interpreted as a valid representation of cluster-level phenomena. Moreover, the terminology used for the cluster-level constructs in such models varies across researchers. We therefore provide an overview of used terminology and modeling approaches for cluster-level constructs measured through individual responses. We classify the constructs based on whether (a) the target of measurement is at the cluster level or at the individual level and (b) the construct requires a measurement model. Next, we discuss various two-level factor models that have been proposed for multilevel constructs that require a measurement model, and we show that the so-called doubly latent model with cross-level invariance of factor loadings is appropriate for all types of constructs that require a measurement model. We provide two illustrations using empirical data from students and organizational teams on stimulating teaching and on conflict in organizational teams, respectively.

Brief emotional eating scale: A multinational study of factor structure, validity, and invariance

Emotional eating or the tendency to eat in response to emotional states can be assessed using self-report measures. The Emotional Eating Scale-II is a commonly used and reliable instrument that measures the desire to eat in response to a range of unpleasant and pleasant emotions. The current study aimed to corroborate the validity of the EES-II and expand its utility by investigating its dimensionality and testing its measurement invariance in samples from English-speaking and non-English-speaking countries. Convergent and predictive validity in respect of food craving, eating, and health indicators were also examined. This cross-national study included a total of 2485 adult participants recruited from Finland, North America, Philippines, United Kingdom, China, Italy, Spain, and South Korea, who completed the EES-II in six different languages. Factor analyses supported a four-factor structure including valence (pleasant, unpleasant) and activation (high, low) for a 12-item English version and slightly modified non-English adaptations. The model exhibited good fit in all samples, and convergent validity was demonstrated. Full invariance of factor loadings and partial invariance of factor loading, intercepts, and error variances was established across samples. Structural equation models revealed that high activation (pleasant and unpleasant) states predicted food cravings and reported eating. Overall findings across multiple samples and countries supported the factorial structure, reliability, invariance, and validity of the resulting Brief Emotional Eating Scale (BEES).

Daily living skills scale: Development and preliminary validation of a new, open-source assessment of daily living skills.

Autistic individuals and individuals with a range of other neurodevelopmental conditions (NDD) often present with lower levels of daily living skills (DLS) when compared to their neurotypical peers. Importantly, lower levels of DLS have been linked to a range of negative outcomes, including lower rates of post-secondary education, lower employment rates, and higher daily support needs across autism and NDD. However, there are currently no open-source informant-reported instruments for capturing key aspects of DLS. This study describes the development, refinement, and initial psychometric evaluation of a new, relatively brief (53-item). Daily Living Skills Scale (DLSS) in a sample of 1,361 children aged 2-17 years, Confirmatory Factor Analysis demonstrated an excellent fit of unidimensional model to the data (CFI = 0.953, TLI = 0.951, RMSEA = 0.073 [95% CI: 0.071-0.074]). The single-factor CFA model showed evidence of measurement invariance of factor loadings, thresholds, and residual variance (strict invariance) across sex, age, race, and ethnicity. Model reliability and internal consistency were excellent (ω = 0.98; α = 0.97). Conditional reliability estimates indicated very good reliability (= 0.80) for the total DLS scale from very low (θ = -4.2) to high (θ = +2.4) scores. Conceptually derived self-care, homecare, and community participation subscales also showed strong reliability and internal consistency. With further replication, the EFS has excellent potential for wide adoption across research and clinical contexts.

Measurement invariance of the empowering and disempowering motivational climate questionnaire-coach in youth sport.

The purpose of this study was to test the measurement invariance (across five languages, two time points, and two experimental conditions) of the empowering and disempowering motivational climate questionnaire-coach (EDMCQ-C; Appleton et al., 2016) when completed by 9256 young sport participants (M age = 11.53 years, SD = 1.39 years; 13.5% female). Exploratory Structural Equation Modeling was used to test the validity of a 2-factor (empowering and disempowering) model running a multiple group analysis without any equality constraint (configural invariance) followed by measurement invariance of factor loadings and thresholds (scalar invariance). Findings provided support for partial invariance across languages and scalar invariance across time and experimental groups. The factors were interpretable across the analyses, and items loaded as intended by theory except for item 15. This study provides further evidence regarding the psychometric properties of the EDMCQ-C and suggests this scale (minus item 15) can be used to provide meaningful latent mean comparisons (Marsh et al., 2013) of empowering and disempowering coach-created climates across athletes speaking the five targeted languages, across time, and across experimental groups.

Validity and reliability of the Chinese version of the core extrusion schema-revised for high school students in China.

This study evaluated the validity and reliability of the Chinese version of the Core Extrusion Schema-Revised (CES-R) for assessing high school students and measures invariance across gender and grade parameters. A sample of 1,334 high school students in Wuhan, China, participated in the study for item analysis, internal consistency tests, and measurement invariance tests of the CES-R. Additionally, 1745 high school students in Zhejiang Province, China. provided data for questionnaire validation. The results of the confirmatory factor analysis showed that the two-dimensional model fit the data well [chi-squared discrepancy = 113.989; degrees of freedom = 26; Tucker-Lewis index (TLI) = 0.949; comparative fit index (CFI) = 0.963; standardized root mean square residual = 0.072]. The Chinese CES-R scores were positively correlated with both the Adolescent Avoidance and Integration Questionnaire scores (r = 0.63, p < 0.01) and the Adolescent Social Anxiety Questionnaire scores (r = 0.70, p < 0.01). The internal consistency coefficient of the questionnaire was 0.94, and the split-half reliability was 0.90. The factor structure invariance, factor loading invariance, and intercept invariance of the Chinese CES-R across gender and grade groups (ΔCFI <0.01, ΔTLI <0.01, ΔRMSEA <0.01) indicated equivalence across gender and grade groups. The Chinese version of CES-R has good validity and reliability for evaluating high school students and acceptable measurement invariance across genders and grades.

Measurement Invariance and Latent Mean Differences in the Nurses' Emotional Labour Scale.

The measurement invariance and latent mean differences in emotional labor across different hospital and monthly salary levels among registered nurses have never been confirmed for the Emotional Labour Scale. These issues may influence the application and efficacy of this scale in practice. This study was developed to evaluate the factor structure of the nurses' Emotional Labour Scale and to examine the measurement invariance and latent mean differences for this scale across different hospital and monthly salary levels. Data were collected from 461 registered nurses working in four general hospitals and 12 long-term care hospitals. Confirmatory factor analysis and a multigroup confirmatory factor analysis were performed to determine the internal structure and measurement invariance of the Emotional Labour Scale. The results of the confirmatory factor analysis indicate that the factor structure model proposed by the original scale fits well with our data as well as configural invariance, factor loading invariance, intercept invariance, and uniqueness invariance. Moreover, factor variance/covariance invariance across two hospital levels as well as configural invariance, factor loading invariance, and intercept invariance across two monthly salary levels were supported. The mean score for emotional control effort in the profession of general hospital nurses was lower than that for long-term care hospital nurses. No statistically significant latent mean differences were found across monthly salary levels. The findings show the Emotional Labour Scale to be a valid and reliable tool for assessing registered nurses and also comparing the mean score for emotional labor across hospital and monthly salary levels to be feasible. The scale may contribute to the development of human resource strategies.

Measurement equivalence of the NACC UDS neuropsychological battery across race/ethnic groups

AbstractBackgroundThe National Alzheimer’s Coordinating Center (NACC) maintains a national database of clinical and cognitive data collected under a standard protocol set by the National Institute on Aging (NIA) called the Uniform Data Set (UDS). Development of factor scores unbiased by race/ethnicity will allow for comparison of other lifestyle and psychosocial factors within the NIA health disparities framework. The present study examined the dimensional structure of the comprehensive neuropsychological test battery and factorial equivalence across racial/ethnic groups.Method43,999 participants (Table 1; Age: Mean = 71.6, Education: Mean = 15.8; Latinx: N = 3549; Asian: N = 1141; Black: N = 5989; White: N = 32832) were assessed at baseline and included in the present study. Clinical status varied from cognitively normal to dementia. The sample was divided into learning and cross‐validation samples; the best fitting model was developed in the learning sample and tested in the cross‐validation sample. Multiple group confirmatory factor analysis (CFA) was used to evaluate measurement equivalence across race/ethnic groups. Measurement invariance models developed in the learning sample were tested in the cross‐validation sample.ResultResults from the full sample identified a best fitting four‐factor model (Figure 1; episodic memory, attention, executive function, language). Multiple group analyses confirmed the presence of metric invariance (Table 2; invariant factor loadings). Results supported partial scalar invariance—all domains had invariant intercepts but also non‐invariant intercepts. Most memory factor indicators had invariant intercepts (5/7). Attention and language had more non‐invariant intercepts. Category fluency, which loaded onto language and executive function factors, was particularly non‐invariant.ConclusionResults showed that the UDS neuropsychological battery measures the same four factors across race/ethnic groups. Crucially, there are important differences in measurement parameters across race/ethnic groups that must be accounted for in studies using these neuropsychological tests as outcomes. The four‐factor model effectively summarizes the comprehensive neuropsychological test battery and could provide a useful tool for studies of cognitive aging and Alzheimer’s disease and related dementias. Importantly, these cognitive factor scores can be used to clarify the influence of lifestyle and psychosocial factors on cognition across these groups.

How does neighbourhood environment influence loneliness in later life in Urban China? The role of financial status.

This study aimed to examine whether older adults' financial status moderated the association between neighbourhood environment (i.e. physical and social environment) and loneliness among older adults in urban China. A cross-sectional survey was collected from urban communities of Shanghai in mid-2020. The final analytic sample was 459 older adults (age range=60-91 years; proportion of women: 55.8%). Multiple group analysis was applied to test the hypothesised model. A measurement model of community social capital (i.e. cognitive and structural dimensions of social capital), a crucial indicator of neighbourhood social environment, was first established in both high-income and low-income groups. Factor loading invariance was established in these two groups. The results show that structural social capital (i.e. organisation memberships, volunteering, social participation and citizenship activities) was negatively associated with loneliness among older respondents from the high-income group only, whereas better community security was significantly associated with lower levels of loneliness among low-income older respondents only. The findings imply that both structural social capital and household income should be considered as important indicators in needs assessment among lonely older adults. Future social policies and interventions should pay attention to enhancing the role of both social and physical neighbourhood environment among older adults.

Validation and measurement invariance of the Arabic Health Literacy Questionnaire

Health literacy plays a key role in empowering individuals and enabling them to make health-related decisions. Despite the advances in health literacy research, there are gaps in the literature that require further inquiry, and establishing comprehensive and valid measurements is one of them. Thus, this research was conducted to examine the psychometric properties of the Arabic Health Literacy Questionnaire (HLQ), including the reliability, validity, and measurement invariances of the nine HLQ scales. A cross-sectional design was used in this study. A sample of university students (N = 1011) was recruited, the mean of age was 21.1 years old (SD = 2.28). The Arabic HLQ and a demographics questionnaire were completed by the participants. Confirmatory factor analyses (CFA) and measurement invariances were performed for each HLQ scale. The values of Cronbach's α and composite reliability were above .70 for all HLQ scales. The CFA analyses showed that all HLQ scales meet the criteria that were set a priori: RMSEA ≤.07, CFI ≥.95, and Chisq/df < 5. In addition, all standardized factor loadings were above .50. Regarding the measurement invariance, the results supported the equal form measurement invariance for all HLQ scales. The equality of factor loadings measurement invariance across gender was also supported for all HLQ scales. Measurement invariance of factor loadings and equality of indicator intercepts was partially supported. These results show that the internal consistency, convergence, and factor structure of the HLQ are all supported. The Arabic HLQ is a reliable, valid tool to measure health literacy among Arabic-speaking populations.

Development of the Psychological Capital Scale for Male Nursing Students in Taiwan and Testing Its Measurement Invariance between Genders.

The aims of this study were to develop a psychological capital (PsyCap) scale for male nursing students and to compare the scores with those of female nursing students. Few past studies have focused on male nursing students to understand their PsyCap relative to female nursing students. We recruited 384 male nursing students in Taiwan to construct the PsyCap Scale with 16 items and four factors based on the relevant literature: hope, optimism, resiliency, and self-efficacy. The scale showed good model fit in confirmatory factor analysis with factor loadings from 0.62 to 0.78. Cronbach’s alpha coefficients ranged from 0.75 to 0.83 for the four subscales and 0.91 for the total scale. We also conducted measurement invariance tests with data from 402 female nursing student volunteers in Taiwan. The invariance of factor loadings and intercepts of the established scale (i.e., with the same unit and origin between genders) indicated that the male nursing students had higher PsyCap in optimism and resiliency than the females. We developed a 16-item-scale to make administration rapid and convenient and applied advanced statistical methods for reliable and valid comparisons between sexes. The results may help the government to create education programmes or policies supporting male nursing students.

Measuring Invariance of Theory of Planned Behavior Model on Online Fitness Program Participation During the COVID-19 Pandemic

Theory of Planned Behavior (TPB) is one of the most frequently cited and most influential models to explain and predict human intentions and behaviors (Ajzen, 1991, 2011; Kim &amp; James, 2016), which include physical activity and exercise. However, the dimensionality of TPB has not been examined in the context of online fitness program (OFP) participation during the COVID-19 pandemic. The purpose of this study was to examine the TPB measurement parameters of the factorial models and determine the generalizability of the psychological constructs of the TPB model on gender groups and whether COVID-19 affected annual income groups. The participants were 18 years or older adults in U.S.A. and self-identified as OFP participants during the COVID-19 pandemic. They were recruited using Amazon Mechanical Turk. TPB was used to examine OFP participation behavior with four constructs: Attitudes toward a behavior (AB), subjective norm (SN), perceived behavioral control (PBC), and participation intention (PI) along with an additional construct role identity (RI). Data were collected through Qualtrics and analyzed in RStudio-1.4.1106. Multiple group confirmatory factor analyses (CFA) were conducted to investigate measurement invariance on gender (male or female) and COVID-19 impact (yes or no), respectively. Final data for analyses included 724 respondents (52.5% males; 47.9% reported no). The CFA results supported unidimensionality of the modified TPB scale. Invariance tests were conducted at all levels of AB, SN, PBC, PI, and RI measures for both male and female groups and COVID-19 impacted groups: Dimensional (equal number of latent factors), configural (equal factor structure), weak (equal factor loadings), strong (equal indicator intercepts), and strict (equal indicator residuals), respectively. The results showed that each of the equal indicator residual models had an overall satisfactory fit to the OFP participation data for both male and female groups as well as the two COVID-19 impacted groups. Comparing with the equal indicator intercept solution regarding the groups in both gender and COVID-19 impact, each of the equal indicator residual models for AB and SN did not result in a significant degradation in model-data fit. But PBC, PI, and RI had significant chi-square changes and the changes of their CFIs were greater than 0.01. Results showed that the adapted TPB scale is valid for measuring OFP participation intention constructs during the COVID-19 pandemic. Since invariant factor loadings and indicator intercepts of TPB measures have achieved, it has confirmed that it is valid to be used in group comparison of latent scores.

Testing the measurement invariance of the Korean clinical learning environment, supervision and nurse teacher (CLES+t) scale

BackgroundIn 2018, the Korean version of the Clinical Learning Environment, Supervision, and Nurse Teacher scale was evaluated for validity and reliability. ObjectivesThis study aimed to test the instrument's measurement invariance and to compare the latent means of groups. DesignThis was a cross-sectional study. SettingsNursing departments in four metropolitan cities and five regions of Korea. The study sample comprised 507 nursing students. ParticipantsBachelor's-level nursing students in their third and fourth years who have experienced clinical practicum. MethodsData were collected from November 11 to December 24, 2018 using the Korean Clinical Learning Environment, Supervision, and Nurse Teacher scale. Confirmatory factor analysis and multi-group confirmatory factor analysis were conducted. Measurement invariance of the Korean Clinical Learning Environment, Supervision, and Nurse Teacher scale was tested in the following order: configural invariance, factor-loading invariance, intercept invariance, factor variance/covariance invariance, and residual invariance, by student year, hospital grade (tertiary or general hospital) and assignment of a nurse instructor (or not). ResultsThe measurement invariance of the Korean Clinical Learning Environment, Supervision, and Nurse Teacher scale by student year and hospital grade were confirmed by configural invariance, factor-loading invariance, intercept invariance, factor variance/covariance invariance, and residual invariance. The measurement invariance of the scale by assignment of a nurse instructor (or not) was also confirmed for configural invariance, factor-loading invariance, partial intercept invariance, partial factor variance/covariance invariance, and partial residual invariance. Comparing latent mean values, there was a statistically significant difference in the mean of the sub-dimensions of the Korean Clinical Learning Environment, Supervision, and Nurse Teacher scale by student year, hospital grade, and nurse assignment (or not). ConclusionsThe Korean Clinical Learning Environment, Supervision, and Nurse Teacher scale is an appropriate instrument for measuring the clinical learning environment regardless of student year, hospital grade, or nurse assignment.

Transcultural validation of a scale in English, Portuguese and Spanish to assess rural extension agents’ beliefs about extension and innovation

Rural extension and innovation approaches have been extensively studied. However, we currently lack a validated quantitative instrument to assess those approaches at a subjective level. Landini and Beramendi (2019) developed a psychometric scale to access rural extension agents' beliefs about extension and innovation (BExIn scale) and validated it in Argentina. In this paper, a transcultural validation of this scale is conducted using samples from Argentina (n = 608), Brazil (n = 279), Chile (n = 196), Mexico (n = 1727), and Nigeria (n = 121). The analysis was conducted using Unweighted Least Squares extraction method and MPLUS software. The results show satisfactory indexes of goodness of fit and internal consistency, evidencing configural invariance and invariance of factor loadings. This implies that the scale assesses the same construct in all cases and that the structure of meanings that organizes these beliefs is essentially the same in different countries (differences between countries and individuals only refer to different ways of valuing the elements within the same general structure). The scale can be used to assess in English, Portuguese and Spanish extension agents’ beliefs about extension and innovation, to compare between countries and institutions, to make human resources decisions, to evaluate the impact of specific academic degrees or educational courses on extension and innovation beliefs, and to analyze strategies aimed at addressing beliefs that contribute to the persistence of a transfer of technology approach. The results suggest that the acknowledgment of otherness contributes to participatory and horizontal extension practices based on bi-directional communication, and that a self-critical attitude reduces the beliefs that shape a transfer of technologies approach.

Community social capital and cognitive function among older adults in rural north-east China: The moderator role of income.

This study investigated the moderating role of income in the relationship between community social capital and cognitive function among community-dwelling older adults in rural China. Data were derived from a community survey conducted in Dongliao county, Jilin province, China, in 2019. Trained interviewers completed face-to-face interviews with 458 respondents. Multiple group analysis was applied to examine the proposed model. The latent constructs of cognitive social capital and structural social capital were established in low-income and high-income groups in rural Chinese contexts. Factor loading invariance of social capital constructs was established across the two income groups. The results showed that income has moderating effects on the relationship between social capital constructs and cognitive function. Social capital that was significantly associated with cognitive function was statistically significant in low-income group only. The findings highlight the important role of income in understanding the mechanism linking social capital to cognitive function in a rural Chinese context. Social policies and interventions should pay particular attention to older adults with low economic status. Policy and intervention implications are discussed.

Stability of the Data-Model Fit over Increasing Levels of Factorial Invariance for Different Features of Design in Factor Analysis

The aim of this study is to provide an empirical evaluation of the influence of different aspects of design in the context of factor analysis in terms of model stability. The overall model stability of factor solutions was evaluated by the examination of the order for testing three levels of Measurement Invariance (MIV) starting with configural invariance (model 0). Model testing was evaluated by the Chi-square difference test (Δx2) between two groups, and Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Tucker-Lewis Index (TLI). Factorial invariance results revealed that the stability of the models was varying over increasing levels of measurement as a function of Variable-To-Factor (VTF) ratio, Subject-To-Variable (STV) ratio, and their interactions. There were invariant factor loadings and invariant intercepts among the groups indicating that measurement invariance was achieved. For VTF ratios 4:1, 7:1, and 10:1, the models started to show stability over the levels of measurement when the STV ratio was 4:1. Yet, the frequency of stability models over 1000 replications increased (from 77% to 91%) as the STV ratio increased. The models showed more stability at or above 32:1 STV.

Finding Clusters of Groups with Measurement Invariance: Unraveling Intercept Non-Invariance with Mixture Multigroup Factor Analysis

ABSTRACT Comparisons of latent constructs across groups are ubiquitous in behavioral research and, nowadays, often numerous groups are involved. Measurement invariance of the constructs across the groups is imperative for valid comparisons and can be tested by multigroup factor analysis. Metric invariance (invariant factor loadings) often holds, whereas scalar invariance (invariant intercepts) is rarely supported across many groups. Scalar invariance is a prerequisite for comparing latent means, however. One may inspect group-specific intercepts to pinpoint non-invariances, but this is a daunting task in case of many groups. This paper presents mixture multigroup factor analysis (MMG-FA) for clustering groups based on their intercepts. Clusters of groups with scalar invariance are obtained by imposing cluster-specific intercepts and invariant loadings whereas unique variances, factor means, and factor (co)variances can differ between groups. Thus, MMG-FA ties down the number of intercepts to inspect and generates clusters of groups wherein latent means can be validly compared.

The Causal Model of Public Acceptance of Genetically Modified Food: An Invariance Analysis

Measurement invariance refers to the equivalence of measurement instrument in different groups. Research on social science often involves comparing different groups, such as whether the relationship between two variables is the same in male and female groups. Measurement invariance is a prerequisite of these studies because if the measurement tools are not equivalent, we cannot distinguish the difference between the degree of measurement tools and the empirical results. The causal model proposed by Michael Siegrist is one of the baseline models for studying public acceptance of genetically modified food, but only a few studies have tested the invariance of the causal model. Thus, it is difficult for researchers to judge the reliability of some conclusions about group comparison, such as whether the risk perception of men is lower than that of women. In this study, we use sample data about China (N = 1091) to test the invariance of the causal model among groups with different genders and knowledge levels. The test results show that the model has full invariance across gender, and only factor loading invariance has no measurement error invariance across knowledge levels. The results of this study show that the conclusion about group comparison on gender in previous studies is credible, but the reliability of the measurement of the differences between knowledge level groups needs to improve before meaningful comparison can be made.

Testing Measurement Invariance of the Positive and Negative Affect Schedule (PANAS) in American and Arab University Students

Affect describes any feelings, emotions, or moods that a person experiences and is generally divided into two broad dimensions—positive affect and negative affect. The most widely used measure of affect, the Positive and Negative Affect Schedule (PANAS), has recently been translated to Arabic (see Appendix), yet the psychometric equivalence of this adapted measure is not fully understood. Using a series of multigroup confirmatory factor analyses, the current study examined measurement invariance of the English and adapted Arabic versions of the PANAS among 979 American and 1470 Arab university students. Although the two-factor structure of the 20-item PANAS was observed in both groups (configural variance), results did not support full invariance of factor loadings (metric invariance). A partial metric invariance model, however, revealed invariant loadings for all positive affect items and all but four negative affect items; dissimilar factor loadings emerged between groups for irritable, nervous, scared, and jittery. Evidence did not support scalar invariance of the 16 metric-invariant items, with only ten items demonstrating equivalent intercepts across groups. Finally, tests for strict invariance indicated nine of the ten scalar-invariant items had equivalent residual variances across groups. All told, results suggest that the PANAS is partially invariant in American and Arab groups.

Exhausted parents in Japan: Preliminary validation of the Japanese version of the Parental Burnout Assessment.

We examined the factorial structure and validity of a Japanese version of the Parental Burnout Assessment, the PBA‐J, with 1,500 Japanese parents. The Parental Burnout Assessment measures burnout using four dimensions: exhaustion in one's parental role, contrast in parental self, feelings of being fed up, and emotional distancing. Confirmatory factor analysis on the PBA‐J supported a four‐factor model. Multiple‐group structural equation modeling with parent participants was supported for the factor‐loading invariance model. Mothers had higher parental burnout scores than fathers. We found moderate‐to‐strong correlation coefficients between the PBA‐J and the Parental Burnout Inventory (PBI‐J; the comparative burnout measure), and weak‐to‐moderate correlation coefficients between the PBA‐J and job burnout, neuroticism, co‐parenting disagreement, and family disorganization. The PBA‐J was correlated with parental perfectionism, particularly with concern over mistakes rather than sociodemographic variables. Overall, our findings provide initial evidence for the validity of the PBA‐J.