Recently, students have become more anxious in their education process due to increasing competitive conditions and rising academic expectations. The pressure from the environment, family, or school stakeholders to get high grades...
moreRecently, students have become more anxious in their education process due to increasing competitive conditions and rising academic expectations. The pressure from the environment, family, or school stakeholders to get high grades increases the stress on the student with the fear of failure. Test anxiety refers to the feelings of fear, worry, and tension that students may experience in relation to their academic performance, school loads, and expectations from students (Chamberlain, Daly, and Spalding, 2011; Putwain and Daly, 2014). In other words, test anxiety describes the change in students' stress and anxiety levels due to the exams or studies they perform at school. The main triggers of test anxiety can be factors such as fear of failure, pressure from high demands, competition with peers, or lack of self-confidence (Ringeisen & Raufelder, 2015; Tan & Pang, 2023). There is a broad consensus in the literature that test anxiety is related to academic achievement (Ali & Mohsin, 2013; Crişan & Copaci, 2015; von der Embse, Jester, Roy, & Post, 2018). von der Embse et al. (2018) reported that test anxiety has a negative effect on many educational performance indicators in their meta-analysis of 238 studies on test anxiety since 1988. In addition, there are studies showing that test anxiety is closely related to many psychological symptoms such as depressive symptoms, stress, and emotional balance disorders (Augner, 2015; von der Embse, Barterian, & Segool, 2013). Test anxiety can also lead to different physical symptoms such as heart palpitations, rapid pulse, rapid breathing, sweating, headache, abdominal pain or nausea, sleep problems, and fatigue (Mashayekh & Hashemi, 2011; Chishti & Rana, 2021). In addition, it is also stated in the literature that test anxiety can have future-oriented effects such as skipping classes, delaying or giving up academic goals (Pekrun, 2006; Lowe et al., 2008). Therefore, it can be said that test anxiety will have negative effects on students' academic performance, mental health and overall quality of life if it is not given due importance. 15 Test Anxiety Any attempt to measure students' academic development in which academic performance is evaluated brings to mind the concept of test anxiety, which in a sense causes students to react with anxiety (Hodapp, Glanzmann, & Laux, 1995). Test anxiety is the mental, psychological, or physical behavioral reactions that occur due to the worry of the possible negative consequences of failing an exam or an assessment (Zeidner, 1998). School assignments, exams, pressure to get high grades, and fear of getting low grades are seen as the most prominent causes of test anxiety (McDonald, 2001; Yakıcı and Kandemir, 2021; Demir, 2022). Some students develop anxiety when they cannot solve tasks at school, when they have problems with homework, when they are preparing for an exam or when they feel that they will take an exam (Zeidner, 2007). Anxiety is expected to be higher in students with low levels of confidence in themselves or their abilities or in students with high levels of parental expectations. Students with test anxiety are more likely to underperform, be absent frequently, or drop out of school completely (Cortina, 2008; Ramirez & Beilock, 2011). Anxiety can affect students' motivation and disrupt their learning strategies (Varasteh, Ghanizadeh, & Akbari, 2016). In addition, anxiety has many effects on mental, psychological, physical or quality of life (Lohiya et al., 2021; Chen et al., 2023). Gender Differences in Test Anxiety There are many studies reporting that there is a gender difference in test anxiety between male and female groups. In self-reported test anxiety, it is generally seen that girls have more test anxiety than boys (Hembree, 1988; Seipp & Schwarzer, 1996; von der Embse et al., 2018). Donati et al. (2020) stated that girls have higher test anxiety than boys in the German Test Anxiety Inventory. Devine, Fawcett, 16 Szűcs, and Dowker (2012) examined the relationships between mathematics performance, mathematics anxiety and test anxiety by gender and found that girls have higher test anxiety than boys. Robson, Johnstone, Putwain, and Howard (2023), in a meta-analysis of articles written on test anxiety in the last 20 years, report that girls show higher test anxiety than boys. In general, there are many studies in the literature indicating that girls have higher test anxiety than boys. Some studies have also been conducted on why girls may have higher levels of test anxiety than boys. In these studies, it is stated that women may be more prone to anxiety, stress or depression due to coping style, socialization, or genetic factors (Goodwin & Gotlib, 2004; Olatunji et al., 2013). Women show their emotions more easily and therefore, in terms of socialization practice, women are more likely to have higher levels of anxiety (Chaplin, 2015). Therefore, a higher anxiety tendency may lead to higher test anxiety (McLean et al., 2011). On the other hand, gender differences in test anxiety may also stem from the sub-dimensions of test anxiety. It can be seen that this difference is sometimes higher in the emotionality and anxiety components of test anxiety (Putwain, 2007) and sometimes only in the emotionality component (Zeidner & Nevo, 1992). On the other hand, the self-report method of measuring test anxiety may also be a variable in explaining the gender difference. As a result, it is thought that new studies should be conducted to better determine the difference in test anxiety. Measurement Invariance Large-scale international assessments play an important role in comparing the qualifications of individuals across countries. The Programme for International Student Assessment (PISA) provides data on students' academic achievement for cross-country comparisons. In such large-scale assessments, the precondition for making comparisons 17 between groups is to ensure statistical equivalence between groups (Millsap & Olivera-Ogilar, 2012). While test adaptation takes place before data collection, assessment of the measurement invariance of scores takes place after data collection to decide on score equivalence between groups. Measurement invariance indicates that the item parameters of a scale are equivalent across groups (Vandenberg & Lance, 2000). Scores meet the condition of measurement invariance if individuals with similar characteristics are equally likely to choose a particular item response, regardless of group membership. In the development of each measurement tool, it is assumed as a basic principle that it measures the same trait in each group to which it is applied. However, in practice, the results may differ according to the groups to which they are applied. If the results obtained from the groups do not have equivalent psychometric qualities, it would not be correct to compare the results between the groups (Başusta & Gelbal, 2015; Yiğiter, 2023). Therefore, the measurement tool should measure the same construct in the same way in each subgroup. With measurement invariance, showing that the factor loadings, inter-dimensional correlations and error variances of a measurement model are the same in each group shows that the measurement tool has the same structure in different groups (Jöreskog & Sörbom, 1993). Researchers obtain evidence on whether the scale measures the same construct in subgroups (Millsap & Olivera-Ogilar, 2012). If measurement invariance cannot be ensured, a validity problem occurs for the measurement tool. Therefore, the interpretations to be obtained from group comparisons based on the scores obtained from this measurement tool may also be incorrect (Vandenberg & Lance, 2000). Measurement invariance also provides evidence of the validity of the instrument. He et al. (2019), in their research on cross-cultural comparability with TIMSS and PISA data, state that comparisons made without examining measurement invariance may lead to 18 incorrect results, hence the importance of testing measurement invariance. If measurement invariance is not ensured, it is not possible to know whether the difference between the scores to be obtained from the measurement tool is due to a real difference in construct or scale items (Horn & McArdle, 1992).