Valid Instrument Research Articles

Best practices for your confirmatory factor analysis: A JASP and lavaan tutorial.

Confirmatory factor analysis (CFA) is a fundamental method for evaluating the internal structural validity of measurement instruments. In most CFA applications, the measurement model serves as a means to an end rather than an end in itself. To select the appropriate model, prior validity evidence is crucial, and items are typically assessed on an ordinal scale, which has been used in the applied social sciences. However, textbooks on structural equation modeling (SEM) often overlook this specific case, focusing on applications estimable using maximum likelihood (ML) instead. Unfortunately, several popular commercial SEM software packages lack suitable solutions for handling this 'typical CFA', leading to confusion and suboptimal decision-making when conducting CFA in this context. This article conceptually contributes to this ongoing discussion by presenting a set of guidelines for conducting a typical CFA, drawing from recent empirical research. We provide a practical contribution by introducing and developing a tutorial example within the JASP and lavaansoftware platforms. Supplementary materials such as videos, files, and scripts are freely available.

Living with long-term conditions: validation of a new instrument for family caregivers in a Spanish-speaking population

IntroductionOptimising the management of chronicity has been a global challenge for decades. Individuals with long-term conditions (LTCs) and their families live with them for years. Thus, it is necessary to...

A computer tool for Aiken's coefficients calculation: Applications in clinical and research settings

AbstractRationaleIn clinical and research settings, the validity and reliability of measurement instruments are crucial for reliable results. Current methods for computing validation metrics like Aiken's coefficients are often complex and error‐prone, highlighting the need for a standardized computational tool to simplify and enhance this process.Aims and ObjectivesThe objective of this study was to develop AikenCalc, a tool created to automate the calculation of Aiken coefficients. This tool provides a quantitative method for examining the validity and reliability of consensus among expert judges.MethodAikenCalc was developed with Shiny app, an R library that allows an easy‐to‐use interface and improved computational efficiency. It was validated using a convergence method by comparing the manual calculations with those obtained using AikenCalc. Additionally, to examine usability and interface, six experts evaluated their experience using AikenCalc and provided improvement feedback.ResultsAikenCalc demonstrated good convergent validity, closely aligning with the results obtained manually, and the six experts gave favorable ratings regarding the usability and interface of AikenCalc. Finally, it was shown that AikenCalc significantly reduced the time required for calculations, thanks to its user‐friendly interface.ConclusionAikenCalc represents a significant improvement in the validation of measurement instruments by automating and simplifying the calculation of Aiken's coefficients through a Shiny web application. Additionally, it fills a knowledge gap, as there is currently no similar calculator available in the field of research.

Development and validation of the infodemic scale

ABSTRACT Infodemic is closely related to all healthcare professionals. Nurses take the lead in health professions that spend a long time with the society and try to present accurate information due to their roles. Infodemic is the massive spread of false or unreliable information in times of crisis. This study aims to develop a valid and reliable tool that identifies individuals’ approaches to infodemic. This study was methodological. The sample consisted of 504 people (N = 504). Data were collected using the Information Form and the Infodemic Scale. The sample was divided into two for the explanatory factor analysis (EFA) and the confirmatory factor analysis (CFA). The scale was developed using the scale development process in health and social research, which consists of three steps. The EFA revealed 14 items under two factors, which are awareness and literacy. Item factor loadings were found to range between 0.334 and 0.907. The CFA confirmed the two-factor scale structure. The total Cronbach’s alpha of the scale was 0.87, and the composite reliability value was 0.89. The intra-class correlation coefficient (ICC) value was found to be 0.857. According to psychometric evaluations, the Infodemic Scale is a valid and reliable instrument that can make consistent measurements.

Sensory Reactivity Through the Lived Experiences of Parents of Children with Autism Spectrum Disorder: An Exploratory Phenomenological Qualitative Study

Background: The current sensory assessment measures for autism spectrum disorder (ASD) have issues related to cultural and clinical applicability, which makes them difficult to apply in the Indian context consistently. The current study aimed to explore locally relevant themes for sensory reactivity in children with ASD. Methods: This exploratory phenomenological qualitative study was carried out on 15 parents of children with ASD visiting the child guidance clinic. An in-depth interview (IDI) guide was prepared on the conceptual framework based on Dunn, as well as, Miller’s models, which was then further refined based upon the inputs from the experts (psychiatrists, child psychologists, speech-language pathologists, and occupational therapists) working with children with ASD. IDIs were conducted with parents of children with ASD. The data was recorded in audio and video format. It was transcribed and translated from Hindi to English. Coding was done manually, and themes were extracted. Results: The findings identified four superordinate themes: sensory hyperreactivity, sensory hyporeactivity, sensory seeking, and socio-emotional response. Conclusion: The lived experience of parents aids in identifying and describing dimensions of sensory reactivity in children with ASD. It will help further in developing a valid and reliable instrument for the assessment of sensory reactivity in children with ASD.

Dataset on the Validation and Standardization of the Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu)

This dataset shows the original validation and standardization of the Questionnaire for the Self-Assessment of Service-Learning Experiences in Higher Education (QaSLu). The QaSLu is the first instrument to measure university service-learning (USL), validated following a strict qualitative and quantitative process by a sample of experts in USL and generating rating scales for different profiles of professors. The Delphi method was used for the qualitative validation by 16 academic experts, who evaluated the relevance and clarity of the items. After two consultation rounds, 45 items were qualitatively validated, generating the QaSLu-45. Then, 118 instructors from 43 universities took part as the sample in the quantitative validation procedure. Quantitative validation was carried out through goodness-of-fit measures using confirmatory factor analysis and the final configuration optimized using one-factor robust exploratory factor analysis, determining the most optimal version of the questionnaire under the law of parsimony, the QaSLu-27, with only 27 items and better psychometric properties. Finally, rating scales were calculated to compare different profiles of USL professors. These findings offer a valid, strong, and trustworthy instrument. The QaSLu-27 may be helpful for the design of USL experiences, in addition to facilitating the assessment of such programs to enhance teaching and learning processes.

The Effectiveness of Exercise Programs on Balance, Functional Ability, Quality of Life, and Depression in Progressive Supranuclear Palsy: A Case Study

Progressive supranuclear palsy is a form of atypical Parkinsonism. People living with Progressive Supranuclear Palsy have various symptoms, such as movement and cognitive disorders, which mainly affect balance and functional ability with an increased risk of falls, dexterity, and dementia. The role of exercise at the early stage of progressive supranuclear palsy remains unclear. The aim of the present study was to examine the effectiveness of an exercise program at the early stage of progressive supranuclear palsy. A patient with a diagnosis of progressive supranuclear palsy within the past year followed a supervised 12-week exercise program (two times per week) by a physiotherapist, with a session lasting about 40 min at a private physiotherapy clinic. Functional status, balance, quality of life, anxiety, and depression were assessed four times with valid instruments and tests. The results from the timed-up-and-go test demonstrated an improvement in performance (MCID value = 3.4). Improvements were observed in the scores of the Parkinson’s Disease Questionnaire-39 (MCID value = 0.6). Finally, an improvement was reported in the score of the anxiety factor of the hospital anxiety and depression scale (MCID value = 1.5). Physiotherapy appears to improve functional capacity, quality of life, and mental health. Further research is needed to confirm these results with a large sample size in combination with other complementary therapies such as mental imagery.

The Autism Program Environment Rating Scale in Swedish Primary School: Cultural Adaptation and Content Validation.

There is a recognized need to improve inclusive learning environments for autistic children in primary school settings in Sweden. This study aimed to translate, cross-culturally adapt, and assess the content validity of the Swedish primary school version of the Autism Program Environment Scale (APERS), originally developed to evaluate autism program quality in educational settings in the United States. Following the translation into Swedish and the first cultural adaptation of the APERS, a content panel group of 14 professionals rated its content validity. Four of the content panel members also participated in individual interviews that provided a qualitative evaluation of the instrument's content validity. Finally, the authors piloted the APERS in 10 Swedish primary school classrooms to assess its feasibility. The ratings and qualitative information from the content panel members indicated a substantial need for the Swedish APERS in primary school, resulting in the culturally adapted APERS-Primary-Sweden (SE). The instrument demonstrated a high level of cross-cultural content validity for assessing the quality of the learning environment for students with autism in Swedish primary school settings. The pilot testing of the instrument resulted in further cultural adaptations. In conclusion,APERS-Primary-SE is a comprehensive scale that can be used to assess the quality of primary school learning environments for children with autism in Sweden. Further research is needed to evaluate the adapted instrument's effectiveness in improving the learning environment in Swedish primary school classrooms.

Measures Teachers’ Perceptions of Differentiated Instruction : A Combination of Guttman Scale and Item Response Theory

This study aims to develop an instrument for teachers’ perceptions of differentiated instruction by adopting Oriondo and Antonio's instrument development model. This study involves three stages of development: instrument planning, pilot testing, and measurement. The respondents involved were 152 subject teachers at the secondary school level. The instrument developed contains differentiated instruction principles: learning environment, quality curriculum, responsive teaching, continuous assessment, and leadership and routines. A combination of the Guttman Scale and Item Response Theory was used to measure teachers' perceptions, which gave significant results. The analysis results show that most instrument items follow the model used, but some items require adjustment. The implication of this study is the importance of developing valid and reliable instruments to measure teachers' perceptions of differentiated instruction. The findings can contribute to improving classroom learning practices and student learning outcomes. Thus, this study provides a strong foundation for the development of teacher professionalism and the overall improvement of education quality.

Health literacy in adolescents and young adults in Benin: French translation and validation of the health literacy measure for adolescents (HELMA)

BackgroundThe Health Literacy Measure for Adolescents (HELMA) is a self-assessment validated tool used to measure health literacy in adolescents. This study aims to evaluate the psychometric properties of the French translation of the Health Literacy Measure for Adolescents (F-HELMA).MethodsThe HELMA questionnaire was translated according to the World Health Organization's (WHO) recommendation for translation and adaptation of instruments. It was pre-tested with 30 students. Subsequently, 495 adolescents and young adults from five senior secondary high schools in Benin completed the questionnaire. A sample of 44 participants completed the questionnaire twice over a 2-week period to determine the test-retest reliability. Construct validity was evaluated using confirmatory factor analysis (CFA) and convergent validity was analyzed the Health Literacy Assessment Tool.Results and discussionThe F-HELMA—French translation of the Health Literacy Measure for Adolescents, showed moderate to good psychometric properties. CFA showed good fit indices for a seven-factor model. Reliability figures fell within an acceptable range; Cronbach's alpha ranged from 0.64 (moderate) to 0.89 (good) across the different subscales, and the intraclass coefficient (ICC) ranged from 0.82 to 0.96, indicating good test-retest reliability. Pearson correlation with HLAT-8 showed good convergent validity (r = 0.54, p < 0.001). This study provides support for the use of the F-HELMA, as a valid and reliable instrument to measure health literacy in adolescents and young adults in West African French speaking countries.

Psychometric validation of the Chinese version of the dry eye-related quality-of-life score questionnaire.

To psychometrically validate the Chinese version of the dry eye-related quality-of-life score questionnaire (DEQS-CHN) among Chinese patients with dry eye. This study involved 231 participants, including 191 with dry eye disease (DED) comprising the dry eye disease group, and 40 healthy participants forming the control group. Participants were required to complete the DEQS-CHN, and Chinese dry eye questionnaire and undergo clinical tests including the fluorescein breakup time (FBUT), corneal fluorescein staining (CFS), and Schirmer I test. To assess the internal consistency and retest reliability, Cronbach's α and the intraclass correlation coefficient (ICC) were employed. Content validity was assessed by item-level content validity index (ICV) and an average scale-level content validity index (S-CVI/Ave). Construct validity was assessed by confirmatory factor analysis. The concurrent validity was assessed by calculating correlations between DEQS-CHN and Chinese dry eye questionnaire. Discriminative validity was evaluated through non-parametric tests, with receiver operating characteristic (ROC) curve serving as conclusive indicators of the questionnaire's distinguishing capability. The Cronbach's α coefficients for frequency and degree of ocular symptoms, impact on daily life, and summary score were 0.736, 0.704, 0.811, 0.818, 0.861, and 0.860, respectively, and the ICC were 0.611, 0.677, 0.715, 0.769, 0.711, and 0.779, respectively. All I-CVI scores ranged from 0.833 to 1.000, with an S-CVI/Ave of 0.956. Confirmatory factor analysis results exhibited a well-fitting model consistent with the original questionnaire [χ 2/df=2.653, incremental fit index (IFI)=0.924, comparative fit index (CFI)=0.924, Tucker-Lewis index (TLI)=0.909, and root mean square error of approximation (RMSEA)=0.065]. There was a moderate positive correlation between the DEQS-CHN and the Chinese dry eye questionnaire (r 2=0.588). The dry eye group demonstrated significantly higher scores compared to the control group, and the area under the curve (AUC) value was 0.8092. The DEQS-CHN has been demonstrated as a valid and reliable instrument for assessing the impact of dry eye disease on the quality of life among Chinese individuals with DED.

Validation of the Japanese version of Algoplus® for the assessment of acute postoperative pain in older patients with cancer.

This study aimed to validate a Japanese version of the Algoplus® tool by assessing postoperative pain in older Japanese patients with cancer and examining the scale's psychometric properties. After translating Algoplus® into Japanese, we conducted a cross-sectional study of patients aged 65 years or older who underwent surgery to remove malignant tumors. Two registered nurse-certified investigators used the Numerical Rating Scale, the Japanese version of Algoplus®, and the Japanese version of the Abbey Pain Scale before and after analgesic use on postoperative days 3 and 5 to evaluate response to pharmacologic therapy. Validity was tested by a correlation analysis between the Japanese version of Algoplus®, two pain scales, and nine hypotheses related to demographic variables and surgical invasions. The Kuder-Richardson-20 test and Cohen's Kappa coefficient were used for internal consistency and inter-rater reliability, respectively. The total score of the Japanese version of Algoplus® showed strong to moderate correlations with the two pain scales. Demographic characteristics were not associated with the total score of the Japanese version, but significant correlations with operative time and postoperative analgesia administration existed. The scale demonstrated good internal consistency (Kuder-Richardson-20 α: .70) and inter-rater reliability (Kappa coefficient .72). The total score of the Japanese version decreased significantly after analgesic use in both postoperative assessments. The Japanese version of Algoplus® is a reliable and valid instrument for nurses to easily assess acute postoperative pain in older Japanese patients with cancer and shows good responsiveness for detecting the change in pain status.

Development of an E-Handbook Based on Research on the Medicinal Plant Premna serratifolia as The Natural Resources of West Kalimantan for High School Students

This research aims to develop a comprehensive e-handbook, containing research-based information on the medicinal plant Premna serratifolia as the natural resources of West Kalimantan for high school students. This research used a research and development (R&D) method with an ADDIE model and was conducted in three high schools in West Kalimantan. Research instruments include validation instruments and student response questionnaires. The research data were analyzed using quantitative data analysis. Expert validators in content, media, and language assessed the e-Hanbook, resulting in validation percentages of 85.4% for content, 82.6% for media, and 81.5% for language. The practicality of the e-Hanbook was tested through initial and final field trials, achieving percentages of 80.8% and 87.2% respectively. Consequently, the research suggests that the e-Hanbook on Premna serratifolia medicinal plants is highly suitable and practical for high school students.

Development of Flipbook-Based E-Module Integrated with External Features to Facilitate Student Self-Learning

This study aims to develop a flipbook-based E-Module integrated with external features to facilitate student self-learning. This research uses a Research and Development (R&D) method with an ADDIE model, which consists of five stages, i.e., analyze, design, develop, implement, and evaluate. The needs analysis of teaching material development was conducted through surveys, interviews, and observations. The validity test used a validation instrument filled out by three experts. Practicality was measured using the results of a questionnaire filled out by students as respondents. The data collected were then analyzed quantitatively. The results showed that the flipbook-based E-Module integrated with external features was categorized as very valid with a percentage of 91.09% and very practical with a score of 90.14%. Flipbook-based E-Module facilitated student self-learning in accordance with its character, namely self-instructional, self-contained, stand-alone, adaptive, and user-friendly characteristics.

Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study.

Depressive disorders have substantial global implications, leading to various social consequences, including decreased occupational productivity and a high disability burden. Early detection and intervention for clinically significant depression have gained attention; however, the existing depression screening tools, such as the Center for Epidemiologic Studies Depression Scale, have limitations in objectivity and accuracy. Therefore, researchers are identifying objective indicators of depression, including image analysis, blood biomarkers, and ecological momentary assessments (EMAs). Among EMAs, user-generated text data, particularly from diary writing, have emerged as a clinically significant and analyzable source for detecting or diagnosing depression, leveraging advancements in large language models such as ChatGPT. We aimed to detect depression based on user-generated diary text through an emotional diary writing app using a large language model (LLM). We aimed to validate the value of the semistructured diary text data as an EMA data source. Participants were assessed for depression using the Patient Health Questionnaire and suicide risk was evaluated using the Beck Scale for Suicide Ideation before starting and after completing the 2-week diary writing period. The text data from the daily diaries were also used in the analysis. The performance of leading LLMs, such as ChatGPT with GPT-3.5 and GPT-4, was assessed with and without GPT-3.5 fine-tuning on the training data set. The model performance comparison involved the use of chain-of-thought and zero-shot prompting to analyze the text structure and content. We used 428 diaries from 91 participants; GPT-3.5 fine-tuning demonstrated superior performance in depression detection, achieving an accuracy of 0.902 and a specificity of 0.955. However, the balanced accuracy was the highest (0.844) for GPT-3.5 without fine-tuning and prompt techniques; it displayed a recall of 0.929. Both GPT-3.5 and GPT-4.0 demonstrated relatively reasonable performance in recognizing the risk of depression based on diaries. Our findings highlight the potential clinical usefulness of user-generated text data for detecting depression. In addition to measurable indicators, such as step count and physical activity, future research should increasingly emphasize qualitative digital expression.

The Effect of Task-Based Language Teaching On Speaking Abilities of Iraqi Intermediate EFL Learners and Their Attitudes Towards English

In the last couple of decades, language educators have focused on the development of communicative language teaching approaches, which emphasize teaching language through communication. Among these approaches, Task-Based Language Teaching (TBLT) has gained popularity, and it is believed that TBLT can contribute to the development of speaking ability among learners. This study aims to investigate the effectiveness of TBLT in developing speaking ability among intermediate level Iraqi students. This quasi-experimental study included 50 individuals from a public school in Iraq. Students in the experimental group were taught using TBLT, whereas those in the control group were taught conventionally. The research data were acquired using two instruments of tests (pre- and post-test) to assess the students' speaking performance before and after treatment, as well as a questionnaire to determine their attitudes toward English. The validity and reliability of the study instruments were confirmed. The results of the research were analyzed using ANCOVA and MANCOVA. The data revealed that TBLT greatly enhances students' speaking abilities, and they have positive sentiments concerning its use in their speaking classes.

Fibromyalgia in patients with non-psychotic mental disorders: Prevalence, associated factors and validation of a brief screening instrument.

Fibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established. We aimed to investigate the prevalence of FM in a representative sample of inpatients with non-psychotic mental disorders. Additionally, we aimed to assess the psychometric properties of the Fibromyalgia Rapid Screening Tool (FiRST) in the Russian-speaking population of people with mental disorders. Consecutive inpatients admitted to the Moscow Research and Clinical Center for Neuropsychiatry for treatment of non-psychotic mental disorders were evaluated for FM by a neurologist and completed the FiRST, Beck Depression Inventory (BDI), and State and Trait Anxiety Inventory (STAI). Of the 1168 patients evaluated 9.0% met the diagnostic criteria for FM. FM was associated with being female, having a diagnosis of unipolar depression, and having higher total scores on the BDI and STAI. The psychometric properties of the FiRST were good (McDonald's omega 0.79, corrected item-total correlation greater than 0.45). An optimal cut-off point with the highest Yuden's index (J = 0.75) was >3 (AUC of 0.89). FM is a common comorbidity in people with non-psychotic mental disorders, associated with being female, having a diagnosis of unipolar depression, and having more severe anxiety and depression. The FiRST can be used for the FM screening with its cut-off >3 in people with non-psychotic mental disorders. It is the first study to determine the prevalence of FM in people with non-psychotic spectrum mental disorders. The study design included a consecutive sample in a real-life setting to avoid bias. In addition, we evaluated the psychometric properties of the FM screening instrument in a population of people with mental disorders and established the cut-off. The specificity of this subpopulation is explained by both the high prevalence of pain symptoms and the overlap of some psychiatric and FM symptoms.

Design and Psychometric Evaluation of Nurses' Mobile Health Device Acceptance Scale (NMHDA-Scale): Application of the Expectation-Confirmation Theory.

The use of mobile tools in nursing care is indispensable. Given the importance of nurses' acceptance of these tools in delivering effective care, this issue requires greater attention. This study aims to design the Mobile Health Tool Acceptance Scale for Nurses based on the Expectation-Confirmation Theory and to evaluate it psychometrically. Using a Waltz-based approach grounded in existing tools and the constructs of the Expectation-Confirmation Theory, the initial version of the scale was designed and evaluated for face and content validity. Construct validity was examined through exploratory factor analysis, concurrent validity, and known-group comparison. Reliability was assessed using measures of internal consistency and stability. The initial version of the scale consisted of 33 items. During the qualitative and quantitative content validity stage, 1 item was added and 1 item was removed. Exploratory factor analysis, retaining 33 items, identified 5 factors that explained 70.53% of the variance. A significant positive correlation was found between the scores of the designed tool and nurses' attitudes toward using mobile-based apps in nursing care (r=0.655, P<.001). The intraclass correlation coefficient, Cronbach α, and ω coefficient were 0.938, 0.953, and 0.907, respectively. The 33-item scale developed is a valid and reliable instrument for measuring nurses' acceptance of mobile health tools.

Psychometric properties of the social determinants of health questionnaire (SDH-Q): development and validation

BackgroundThe influence of social determinants of health (SDH) on sustainable development goals (SDG) has gained attention in recent years. However, there is a scarcity in the availability of valid and reliable instruments to assess the multiple aspects of SDH. Hence, this study was conducted to develop a brief self-reported measure for assessing SDH.MethodA cross-sectional survey was conducted among university undergraduate students in Nigeria. The study consisted of 300 participants in the EFA (males 55.7%, females 44.3%) and 430 participants in the CFA (males 54.0%, females 46.0%). Participants were selected using a convenience sampling approach to assess their perceptions regarding SDH. Content Validity Index (CVI), Face Validity Index (FVI), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Composite Reliability (CR), Average Variance Extracted (AVE), Cronbach’s alpha, and Intraclass Correlation Coefficient (ICC) were computed to determine the psychometric properties of the newly developed SDH scale.ResultsIn the EFA, two factors were extracted (structural determinants of SDH and intermediary determinants of SDH), with all 20 items retained. The total variance explained by the EFA model was 61.8%, and the factor correlation was 0.178. The Cronbach’s alpha values of the two factors were 0.917 and 0.939. In the CFA, the initial model did not fit the data well based on fit indices. After several re-specification of the model, the final re-specified measurement model demonstrated adequate fit factor structure of the SDH scale with two factors and 20 items (CFI = 0.943, TLI = 0.930, SRMR = 0.056, RMSEA = 0.053, RMSEA p-value = 0.220). The CR was 0.797 for structural determinants of SDH and 0.794 for intermediary determinants of SDH. The ICC was 0.938 for structural determinants of SDH and 0.941 for intermediary determinants of SDH.ConclusionThe findings indicate that the SDH scale has adequate psychometric properties and can be used to assess the perceived level of SDH. We recommended that this tool be tested in other populations with diverse age groups and other demographic characteristics.

Assessment of forgiveness in couple relationships: Adaptation of the Marital Offense-Specific Forgiveness Scale (MOFS) to a Spanish sample.

Forgiveness plays an important role in couple relationships, as it is essential in overcoming interpersonal offenses and related to the well-being of the relationship. To date, no valid instruments are available for Spanish populations to evaluate forgiveness within marital relationships. This study aims to adapt and evaluate the Marital Offense-Specific Forgiveness Scale (MOFS), comparing the behavior of the scale in two cultural contexts: Spain and the United States. Two studies were conducted: the first with 389 participants to evaluate the behavior of the scale and to explore the dimensionality of the Spanish version of the MOFS using exploratory factor analysis (EFA); the second study used a sample of 361 Spanish and 119 American participants, conducting a confirmatory factor analysis (CFA) and an invariance factor analysis. The EFA revealed two factors: Avoidance-Resentment and Benevolence. Using CFA, the factorial structure of the MOFS was confirmed, with results indicating that the proposed model presents a similar fit to the original version.