Multigroup Confirmatory Factor Analysis Research Articles

Properties of the modified self-forgiveness dual-process scale in populations at risk for moral injury.

Despite theory suggesting that self-forgiveness facilitates recovery from moral injury, no measure of self-forgiveness has been validated with individuals exposed to potentially morally injurious events (PMIEs). Military veterans, healthcare workers, and first responders who reported PMIE exposure (n=924) completed the Self-Forgiveness Dual-Process Scale, which assesses two dimensions of the self-forgiveness process. The first dimension, value affirmation, refers to appraising personal responsibility and being willing to make amends for one's involvement in a PMIE. The second dimension, esteem restoration, refers to accepting oneself as valuable and capable of growth despite one's failures and imperfections. Exploratory and Confirmatory Factor Analyses replicated the original scale's two-factor structure in 10 items modified to apply to the diverse contexts in which PMIEs occur. Next, we found that the factor structure, item loadings, and item intercepts were fully or partially invariant across professions, genders, races, ages, and religious affiliations in a series of Multi-Group Confirmatory Factor Analyses. Finally, diverging patterns of associations between value affirmation and esteem restoration with moral distress, posttraumatic stress, depression, insomnia, functional impairment, and posttraumatic growth provide evidence of convergent and discriminant validity between the subscales. The modified self-forgiveness dual process scale is the first measure of self-forgiveness to be validated with individuals exposed to a PMIE. Researchers and clinicians can use the scale to examine how self-forgiveness (or difficulties with forgiving oneself) relates to moral injury.

Gaming disorder test: Assessing psychometric properties, prevalence, temporal stability, and invariance using a Czech two-time-point longitudinal sample

In 2019, Gaming Disorder (GD) was acknowledged as an official diagnosis by the World Health Organization. The Gaming Disorder Test (GDT) is the most widely used tool to measure GD; however, due to its novelty, various measurement properties are still unexplored, and the number of validated language variants is still limited. The present study is the first to assess the psychometric properties of the Czech version of the GDT. Further, it focuses on its temporal prevalence and stability, gaming genre invariance, and criterion validity. A large-scale sample of adult Czech gamers collected at two points within nine months was analysed – T1 N = 5356; T2 N = 6077; longitudinal sample N = 1430. Confirmatory factor analysis (CFA), structural equation modelling (SEM), and multigroup CFA were employed to assess the measurement invariance. The study confirmed the one-factor structure of the GDT and showed that it is invariant across preferred gaming genres and the time of data collection. It showed a negative relationship with life satisfaction and a positive relationship with anxiety, even when controlling for their mutual relationships. The prevalence in the longitudinal sample was equal to or below 1.9% in each wave, but only 0.5% in the longitudinal sample (hence n = 7 participants fulfilled in both waves the criteria for GD). The study suggests that the Czech version of the GDT has good psychometric properties, including temporal stability and invariance across gaming genres, so it is suitable for the survey type and epidemiological investigation of the ICD-11's Gaming Disorder.

The development and cross-cultural validation of a Student Online Learning Experience Scale

ABSTRACT A growing body of research has explored the effects of Covid-19-induced online learning on students’ experiences. However, there is a lack of validated tools that measure the perceived online learning experiences of domestic and international students in various national and cultural contexts. To address this gap, this article aims to develop the Student Online Learning Experience Scale (SOLE-S). We conceptualised four potential dimensions of students’ perceptions of their online learning experiences: online interactions with students, teachers, university, and technology (i.e. students’ capacity to participate in online learning). Confirmatory factor analysis determined three distinct factors: online interactions with students, the university (including teachers), and technology. Based on multiple validation studies reported in this article, the 10-item SOLE-S demonstrated sound internal consistency, discriminant validity, and convergent validity. Multigroup confirmatory factor analysis on data from domestic and international students transitioning from conventional classroom learning to online learning during the COVID-19 pandemic in Italy, France, Poland, and the UK showed a stable factor structure across different cultural contexts. Bivariate and point-biserial correlation analyses revealed that the SOLE-S is associated with students’ adjustment, performance, satisfaction, and loyalty to the university. This tool will assist higher education institutions in monitoring students’ online learning experiences and developing relevant support structures to enhance their academic experience and well-being during the pandemic and post-pandemic online learning.

Adaptation to Turkish of the Career Exploration and Decision Self‐Efficacy Scale

AbstractThe aim of this study was to validate the Turkish version of the Career Exploration and Decision Self‐Efficacy (CEDSE) Scale with Turkish undergraduate students. Results show that with the sample of Turkish undergraduate students (N = 202) the Turkish CEDSE Scale had a two‐factor structure with 12 items. The CEDSE Scale's two‐factor structure was validated by a sample of Turkish undergraduate students (N = 255). Multigroup confirmatory factor analysis verified the measurement invariance of the CEDSE Scale across gender groups. The Turkish CEDSE Scale produced positive relations with measures of vocational outcome expectations and career decidedness as well as strong positive correlations with career decision‐making self‐efficacy. The CEDSE Scale scores produced statistically significant beta coefficients predicting vocational outcome expectations and career decidedness. The results support the concurrent and criterion‐related validity of the CEDSE Scale. Calculations of Cronbach's alpha, McDonald's omega, and stability coefficients yielded evidence for the CEDSE Scale's reliability.

The Athlete Psychological Well-Being Inventory: Factor Equivalence with the Sport Injury-Related Growth Inventory

Until now, research on growth following sport injury has relied exclusively on retrospective reports and nomothetic measures drawn from other fields of research. Therefore, to more objectively explore growth following sport injury pre- and post-injury, rather than retrospectively, this study adapts and examines the psychometric properties of the Athlete Psychological Well-Being Inventory (APWBI), which can be used throughout the sport injury process (i.e., prior to and following sport injury). A sample of 164 athletes free from injury (71.3% men; M age = 19.7 years, SD = 2.1) were compared to a sample of 168 athletes with history of previous injury (73.2% men; M age = 19.7 years, SD = 2.1). Multigroup Confirmatory Factor Analysis demonstrated the measurement and factor equivalence between the APWBI and a retrospective measure, the Sport Injury-Related Growth Inventory (SIRGI). The APWBI also showed satisfactory to excellent internal consistency reliability for all its sub-dimensions (“sense of mastery”, “positive relations with others”, “responsibility for one’s health”, “self-awareness”, “emotional ability”, “purpose in life”, “purpose in sport”, and “body awareness”) and for the total score. Analysis of the relationships with other self-report measures (i.e., the Positive Functioning Inventory, the Rosenberg’s Self-Esteem Scale, and the Lie Scale) provided convergent and discriminant evidence to support the construct validity of the instrument. To conclude, the APWBI is a valid and reliable instrument for use within English-speaking athletes of various competitive levels (from local/county to international level).

Validating the Chinese version of short‐form foreign language classroom anxiety scale

AbstractThis three‐phase study utilized item response theory (IRT) and both exploratory and confirmatory factor analysis (EFA and CFA) approaches to validate the short‐form foreign language classroom anxiety scale (S‐FLCAS) for measuring Chinese college students' foreign language classroom anxiety (FLCA). The sample consisted of 855 Chinese college students. Phase 1 was conducted within the EFA and CFA frameworks to investigate the construct validity of the S‐FLCAS. Phase 2 was conducted within IRT frameworks to assess the reliability of this scale. Lastly, Phase 3 adopted multi‐group confirmatory factor analysis (MGCFA) to explore the measurement invariance across gender and second language (L2) learner groups. The findings revealed that the Chinese version of S‐FLCAS is a reliable and valid instrument, exhibiting unidimensional characteristics. Configural, metric, and scalar invariance were identified across gender groups, while configural, partial metric, and partial scalar invariance were observed across L2 groups. This study further discussed the reasons for some suboptimal performance of the S‐FLCAS and practical implications for researchers and university educators.

A Causal Framework for the Comparability of Latent Variables

Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent review showed that MI is rarely investigated in practice. We argue that one reason might be that the results of MG-CFA are uninformative as to why MI does not hold between groups. Consequently, under this framework, it is difficult to regard the study of MI as an interesting and constructive step in the modeling process. We show how directed acyclic graphs (DAGs) from the causal inference literature can guide researchers in reasoning about the causes of non-invariance. For this, we first show how DAGs for measurement models can be translated into path diagrams used in the linear structural equation model (SEM) literature. We then demonstrate how insights gained from this causal perspective can be used to explicitly model encoded causal assumptions with moderated SEMs, allowing for a more enlightening investigation of MI. Ultimately, our goal is to provide a framework in which the investigation of MI is not deemed a “gateway test” that simply licenses further analyses. By enabling researchers to consider MI as an interesting part of the modeling process, we hope to increase the prevalence of investigations of MI altogether.

Assessing the patient’s affective perception of their psychotherapist: validation of the in-Session Patient Affective Reactions Questionnaire

BackgroundPsychotherapists need effective tools to monitor changes in the patient’s affective perception of the therapist and the therapeutic relationship during sessions to tailor therapeutic interventions and improve treatment outcomes. This study aims to evaluate the factor structure, reliability, and validity of the in-Session Patient Affective Reactions Questionnaire (SPARQ), a concise self-report measure designed for practical application in real-world psychotherapy settings.MethodsValidation data was gathered from (N = 700) adult patients in individual psychotherapy. These patients completed the SPARQ in conjunction with additional measures capturing sociodemographic details, characteristics of therapeutic interventions, individual personality traits, mental health symptom severity, elements of the therapeutic relationship, and session outcomes. This comprehensive approach was employed to assess the construct and criterion-related validity of the SPARQ.ResultsThe SPARQ has a two-factor structure: Positive Affect (k = 4, ω total = .87) and Negative Affect (k = 4, ω total = .75). Bifactor confirmatory factor analysis (CFA) yielded the following fit indices: X2[df] = 2.53, CFI = .99; TLI = .98; RMSEA = .05; and SRMR = .02. Multi-group CFAs demonstrated measurement invariance (i) across patients who attended psychotherapy sessions in person versus in remote mode, and (ii) across patients with and without psychiatric diagnoses confirmed metric invariance. Furthermore, the SPARQ showed meaningful correlations with concurrently administered measures.DiscussionThe SPARQ proves to be a valuable instrument in clinical, training, and research contexts, adept at capturing patients’ session-level affective responses towards their therapist and perceptions of the therapeutic alliance. Comprehensive descriptive statistics and a range of score precision indices have been reported, intended to serve as benchmarks for future research.

Gender Differences: Confirmatory Factor Analysis of the ADOS-II.

Recent research has suggested that autism may present differently in girls compared to boys, encouraging the exploration of a sex-differential diagnostic criteria. Gender differences in diagnostic assessments have been shown on the ADOS-II, such that, on average, females score significantly lower than males on all scales and are less likely to show atypicality on most items related to social communicative difficulties. Yet, gender differences in the latent structure of instruments like the ADOS-II have not been examined systematically. As such, this secondary data analysis examined 4,100 youth diagnosed with autism (Mage = 9.9, 813 female & 3287 male) examined item response trends by gender on the ADOS-II Module 3. Multi-Group Confirmatory Factor Analysis results show that the factor loadings of four ADOS-II items differ across the genders. One SCD item and one RRB item are strongly related to the latent factor in the female group, while two RRB items have larger factor loadings in the male group. The assumption of an identical latent factor structure for the ADOS-II Module 3 for males and females might not be justifiable. Possible diagnostic implications are discussed.

Validating the Stanford Gender-Related Variables for Health Research (SGVHR) in a Canadian population.

In addition to biological sex, the impact of gender on health outcomes is now well-recognized. Gender norms are changing rapidly, demanding contemporary gender assessment tools. This study sought to validate the recent US-based Stanford Gender-Related Variables for Health Research (SGVHR) scale in Canada. We also aimed to improve gender prediction by including socio-demographic information on education, income and occupations. We recruited 2445 Canadian online participants (~50% female; mean age: 49.3). Multigroup confirmatory factor analyses confirmed the SGVHR factor structure in our sample, indicating its generalizability beyond the USA. Regression analyses indicated that the SGVHR subscales were moderately predictive of self-reported gender. Incorporating socio-demographic factors Significantly enhanced gender prediction via the SGVHR. This study underscores the SGVHR's applicability in diverse Western populations and encourages the inclusion of easily accessible sociodemographic variables to approximate a gender metric. Future studies should test the health-relevance of such indicators along with the SGVHR.

From everyday life to measurable problematic smartphone use: The development and validation of the Smartphone Use Problems Identification Questionnaire (SUPIQ).

Problematic smartphone use (PSU) has gained attention, but its definition remains debated. This study aimed to develop and validate a new scale measuring PSU-the Smartphone Use Problems Identification Questionnaire (SUPIQ). Using two separate samples, a university community sample (N = 292) and a general population sample (N = 397), we investigated: (1) the construct validity of the SUPIQ through exploratory and confirmatory factor analyses; (2) the convergent validity of the SUPIQ with correlation analyses and the visualized partial correlation network analyses; (3) the psychometric equivalence of the SUPIQ across two samples through multigroup confirmatory factor analyses; (4) the explanatory power of the SUPIQ over the Short Version of Smartphone Addiction Scale (SAS-SV) with hierarchical multiple regressions. The results showed that the SUPIQ included 26 items and 7 factors (i.e., Craving, Coping, Habitual Use, Social Conflicts, Risky Use, Withdrawal, and Tolerance), with good construct and convergent validity. The configural measurement invariance across samples was established. The SUPIQ also explained more variances in mental health problems than the SAS-SV. The findings suggest that the SUPIQ shows promise as a tool for assessing PSU. Further research is needed to enhance and refine the SUPIQ as well as to investigate its clinical utility.

Item Response Theory Analysis and Measurement Invariance Testing of the Cultural Humility and Enactment Scale

Objective This study aimed to validate the Cultural Humility and Enactment Scale (CHES) through (a) examining its factor structure with multiple samples; (b) employing item response theory (IRT) analysis to examine its item-level characteristics; (c) reducing potential redundancies among items; and (d) conducting measurement invariance (MI) testing. Method The sample included a total of 610 individuals with diverse demographic backgrounds recruited from Mturk. Analyses included exploratory factor analysis (EFA), IRT analysis, confirmatory factor analysis (CFA), and multi-group CFA. Results We replicated the three-factor structure and retained the 21-item CHES (CHES-21), which showed equivalent information coverage and superior model fit compared to the original 29-item version. We also obtained evidence for MI of the CHES-21 between White and nonwhite clients and between male and non-male clients. Conclusion Evidencing reliability and validity with a sample of adult clients, the CHES-21 can be effectively incorporated into counseling practice and counselor training.

Psychometric Properties of a Short Academic Motivation Scale (SAMS) in Medical Students.

Background: Medical education represents a complex field of study, influenced by various psychological, demographic, and contextual factors. Academic motivation, essential for educational success, has been linked to critical decisions in medical careers and can be modulated by contextual elements such as socioeconomic and geographical environments. The theory of self-determination has provided a solid framework for understanding the multidimensional nature of motivation. Objective: To evaluate the psychometric properties of a Spanish version of the Short Scale of Academic Motivation among Peruvian medical students. Methods: Using an instrumental design, the factorial structure, reliability, and gender invariance of the SAMS-S were assessed. A confirmatory factor analysis (CFA) was conducted to validate the scale's structure based on seven dimensions. Additionally, reliability was assessed through Cronbach's alpha coefficient and omega coefficient, and gender invariance was determined through multi-group confirmatory factor analysis. Results: The Peruvian version of the SAMS-S showed a good fit in the CFA with satisfactory goodness-of-fit indices. However, challenges in discriminant validity among certain dimensions were detected, suggesting the presence of a second-order factor. The proposed second-order model yielded an adequate fit (χ2 = 198.26, df = 70, CFI = 0.92, TLI = 0.90, RMSEA = 0.08 [90% CI: 0.07-0.1], SRMR = 0.07), validating the factorial structure of the SAMS-S. The scale's reliability and its subscales were within acceptable ranges. Furthermore, the gender invariance of the SAMS-S was confirmed at all levels, from configural to strict. Conclusions: The second-order model of the SAMS-S presents as a valid and reliable tool for measuring academic motivation among medical students in Peru. Its robustness and adaptability make it relevant for future research in similar educational contexts and can serve as a basis for interventions aimed at improving academic motivation in this specific group.

The Dimensionality, Consistency, and Structural Validity of an Instrument Used to Measure Obesogenic Attitudes in Parents from Southern Spain (The PRELSA Scale).

(1) Background: We aimed to analyze the dimensionality, internal consistency, and structural validity of the Preschool Eating, Lifestyle, and Sleeping Attitudes Scale (PRELSA Scale), which is an instrument that was designed to measure obesogenic behaviors. (2) Methods: We carried out an observational study by means of an online survey. The PRELSA Scale consists of 13 dimensions and 60 items relating to the most common obesogenic behaviors and attitudes. Additionally, we obtained sociodemographic characteristics and concrete habits from the sample. We obtained the responses of 791 parents and caregivers of preschool children between 2 and 6 years of age in Andalusia (southern Spain). We analyzed dimensionality through an Exploratory Factor Analysis (EFA), consistency through Cronbach's Alpha, structural validity through a Confirmatory Factor Analysis (CFA), and measurement invariance with multigroup CFA models. (3) Results: The EFA showed a 14-dimensional structure with 48 items. The internal consistency was acceptable in all dimensions (Cronbach's Alpha range of 0.72 to 0.97). The structure was confirmed in the CFA with good fit indices (CFI and TLI > 0.9 and RMSEA < 0.05). We ensured that the scale had measurement invariance regarding education, income, and marital status. (4) Conclusions: The PRELSA Scale shows promising properties that have the potential to measure obesogenic behaviors in Spain, which could be the basis for future interventions associated with the prevention of childhood obesity in healthcare and educational settings.

The Brazilian version of the Inventory of Depression and Anxiety Symptoms-Expanded Version: Internal structure, invariance by sex and race, and associations with pathological personality traits.

The Inventory of Depression and Anxiety Symptoms-Expanded version (IDAS-II) is one of the few tools designed to assess internalizing symptoms based on dimensional models. We conducted two studies, the first testing internal validity aspects of the IDAS-II and the second testing the external validity of the scales. In the first study we adapted the IDAS-II to Brazilian Portuguese and tested its internal structure, including a higher order factorial solution coherent with the internalizing spectrum, the stability of the factor structure, and its measurement invariance for sex and racial groups. Participants were 2,379 Brazilian adults. In the second study, we investigated the IDAS-II scales' associations with broad pathological personality traits in Brazilian (N = 245) and North American (N = 402) samples. The results of the first study indicated that the IDAS-II scales are grouped into three first-order factors (Distress, Obsessions/Fear, and Positive Mood), replicating Wester et al. (2022) and Petre et al. (2023). Our results also suggested the plausibility of an internalizing second-order factor for the IDAS-II Brazilian version. The multigroup confirmatory factor analysis shows that this scale is invariant for males and females and for White and Black/Brown people. In the second study, the IDAS-II scales demonstrated mostly coherent associations with broad domains of pathological personality traits. Besides the internal validity of the Brazilian IDAS-II, our results also provide information about its external validity and expand its nomological network, as it is the first study reporting its associations with broad domains of pathological personality traits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Face as a multidimensional construct: Cross‐cultural validation of the Loss of Face Scale in Taiwan and the United States

AbstractFace culture is a crucial facet of East Asia. The most common self‐report measure for face concern is the unidimensional Loss of Face Scale. In this study, we examined the dimensionality, factor structure, and validity of the Loss of Face Scale in two samples. Sample 1 (N = 602) consisted of 303 Taiwanese mothers and 299 U.S. mothers. Sample 2 (N = 602) was an independent sample from Sample 1, consisting of 294 Taiwanese mothers and 308 U.S. mothers. We proposed a modified 15‐item four‐dimensional factor structure to better capture the complexity of face. Four sub‐domains emerged from the results of exploratory structural equation modelling: Low‐Profile, Over‐Preparation, Harmony Seeking, and Non‐Aggression. Multigroup confirmatory factor analysis indicated configural and metric invariance but failed to establish full scalar invariance across countries. Convergent validity was supported by positive correlations with other Asian cultural values. While all four domains of face showed small to moderate correlations with depression in the U.S., only Low‐Profile was associated with depression in Taiwan, suggesting that not all aspects of face concern are non‐adaptive in East Asian contexts. Future studies should consider the multidimensional nature of face as well as how different dimensions affect mental and social well‐being across cultures.

The physical activity and social support scale: a translation and psychometric validation study in a Chinese college student sample.

This study aims to evaluate the reliability and validity of the Chinese version of the Physical Activity Social Support Scale (PASSS-C) and its measurement invariance across different gender groups in a Chinese college student sample. A total of 1,689 Chinese college students participated in the study. We assessed the internal consistency of PASSS-C using Cronbach's alpha and McDonald's omega. A Confirmatory Factor Analysis (CFA) was conducted to test its five-factor model. Multi-group CFA was used to examine measurement equivalence between male and female groups. Convergent and criterion-related validity were assessed using Pearson correlation coefficients. The overall internal consistency of PASSS-C was good with a Cronbach's alpha of 0.952, and the subscales showed acceptable consistency. The CFA results supported the five-factor structure of PASSS-C in the college student sample, with values of CFI = 0.932, TLI = 0.917, RMSEA = 0.048, 90% CI [0.043 0.053], SRMR = 0.047. Scalar invariance was also supported across different gender groups, with ΔCFI = -0.003, ΔTLI = 0, ΔRMSEA = 0. PASSS-C demonstrated good convergent and criterion-related validity. PASSS-C exhibits satisfactory psychometric properties and is a valid and reliable tool for assessing the perceived level of social support for physical activity among college students.

The short version of the Sexual Distress Scale (SDS-3): Measurement invariance across countries, gender identities, and sexual orientations

BackgroundThe three-item Sexual Distress Scale (SDS-3) has been frequently used to assess distress related to sexuality in public health surveys and research on sexual wellbeing. However, its psychometric properties and measurement invariance across cultural, gender and sexual subgroups have not yet been examined. This multinational study aimed to validate the SDS-3 and test its psychometric properties, including measurement invariance across language, country, gender identity, and sexual orientation groups. MethodsWe used global survey data from 82,243 individuals (Mean age=32.39 years; 40.3 % men, 57.0 % women, 2.8 % non-binary, and 0.6 % other genders) participating in the International Sexual Survey (ISS; https://internationalsexsurvey.org/) across 42 countries and 26 languages. Participants completed the SDS-3, as well as questions regarding sociodemographic characteristics, including gender identity and sexual orientation. ResultsConfirmatory factor analysis (CFA) supported a unidimensional factor structure for the SDS-3, and multi-group CFA (MGCFA) suggested that this factor structure was invariant across countries, languages, gender identities, and sexual orientations. Cronbach's α for the unidimensional score was 0.83 (range between 0.76 and 0.89), and McDonald's ω was 0.84 (range between 0.76 and 0.90). Participants who did not experience sexual problems had significantly lower SDS-3 total scores (M = 2.99; SD=2.54) compared to those who reported sexual problems (M = 5.60; SD=3.00), with a large effect size (Cohen's d = 1.01 [95 % CI=-1.03, -0.98]; p < 0.001). ConclusionThe SDS-3 has a unidimensional factor structure and appears to be valid and reliable for measuring sexual distress among individuals from different countries, gender identities, and sexual orientations.

Analysing mixed-mode effects of computer assisted telephone and personal interviews: A case study based on survey data from the international social survey programme module on environment

Due to Covid-19 restrictions, surveys often could not be conducted in originally planned face-to-face mode, and switched to online modes or used different mixed-mode designs. A combination of CATI and CAPI was used for the Austrian ISSP survey on Environment 2020/2021 (N=1.261), which in the past had always been conducted face-to-face. Mixed-mode surveys facilitate field access in pandemic times and show potential to reduce non-response and coverage errors (desired selection effect). However, the combination of different modes comes along with a series of risks such as mode-effects causing bias due to measurement effects. From an analytical perspective, the challenge arising is to disentangle selection and measurement effects. Thus, we analyse differences in the factorial structure and response distributions of two social constructs using Bayesian multigroup confirmatory factor analysis and linear regression. These represent institutional trust and the willingness to sacrifice for environmental protection. The findings show support for scalar invariance and therefore the absence of CAPI vs. CATI mode-effects on the factorial structure for both constructs. However, despite adjusting for differences in sample composition we observe a higher average willingness within the CATI sample. Based on these results, we discuss implications for the interpretation of mode effects in mixed mode surveys.

Measurement Invariance of Achievement Motives Model: PISA 2018 Turkey Sample

This study aims to find out whether the achievement motives model, constructed by attitudes towards competition, motivation to master tasks, and fear of failure scales, has measurement invariance in the PISA 2018 student questionnaire concerning gender and school type in Turkey sample, containing 6442 students. According to the results, the model's fit levels with the data were within acceptable levels across gender groups and school-type groups. Then, the measurement invariance across gender and school type was tested by multigroup confirmatory factor analysis including a sequence of tests of four nested hierarchical models which are configural, metric, scalar, and strict invariance. The fit indices of models and the differences of indice values between models were examined to decide whether measurement invariance is established. It is found that the full measurement invariance is met according to gender and school type since the values of the indices for each invariance step are acceptable values. It means that it will be appropriate and meaningful to compare the students based on the scores obtained from the measurement tool within the framework of the achievement motives model.