What is the association between schoolwork-related anxiety and science literacy proficiency? A comparison between Southeast Asia and Northwest Europe

Grabau, Lawrence; Galand, Benoît; Lafontaine, Dominique; Lavonen, Jari; Ólafsson, Ragnar F.; Trudel, Louis; Yoon, SaeYeol

doi:10.3389/feduc.2024.1414423

Article (Scientific journals)

What is the association between schoolwork-related anxiety and science literacy proficiency? A comparison between Southeast Asia and Northwest Europe

Grabau, Lawrence; Galand, Benoît; Lafontaine, Dominique et al.

2024 • In Frontiers in Education, 9

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10.3389/feduc.2024.1414423

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Keywords :

inverse U-shaped response; Northwest Europe; schoolwork-related anxiety; science literacy proficiency; Southeast Asia; Education

Abstract :

[en] What is the shape of the association between schoolwork-related anxiety (SRA; sometimes referred to as “test anxiety”) and science literacy proficiency (SLP)? Prior results in some areas (e.g., Flanders) have showed an inverse linear relationship between SRA and SLP. Intriguingly, academic anxiety showed an inverse “U-shaped” association with academic performance in Taiwan. Data for six southeast Asian (SEA; Hong Kong, Japan, Korea, Macao, Singapore, Taiwan) and six northwest European (NWE; Belgium, Estonia, Finland, Iceland, Ireland, the Netherlands) nations/entities were drawn from PISA 2015, the most recent science-focused iteration of OECD’s (Organization for Economic Cooperation and Development) triennial PISA (Programme for International Student Assessment) evaluations. Mean SRA and SLP, respectively, were 0.34 and 532 across the selected SEA representatives (aggregate n = 35711) and −0.21 and 515 across the identified NWE nations (n = 34601). We sorted each nation’s/entity’s dataset into five SLP levels (utilizing PISA’s own criteria) and placed students into SLP levels based on an average of ten plausible values for each individual student). ANOVA results showed Taiwan, Japan, and Korea, (with some qualified evidence for SEA as a region) to have an inverse U-shaped relationship between SRA and SLP; Finland, and Iceland (along with modest evidence for NWE as a region) had a negative linear relationship between SRA and SLP. Multilevel modeling (MLM; within nations/entities only) partially confirmed our parallel ANOVA results: an inverse U-shaped relationship for Taiwan, and the negative linear relationship for Finland and Iceland. Our Belgian MLM also showed negative linearity. Thus, our results confirmed the earlier observation of an inverse U-shaped relationship between student anxiety measures and academic performance in Taiwan (extending that finding to a science context—and further extending that finding for science to Japan and Korea). We discuss possible classroom interventions aimed at mitigating non-adaptive anxieties among students at intermediate SLP levels.

Disciplines :

Education & instruction

Author, co-author :

Grabau, Lawrence; Department of Plant and Soil Sciences, University of Kentucky, Lexington, United States

Galand, Benoît; Faculty of Psychology and Educational Sciences, Université Catholique de Louvain, Louvain-la-Neuve, Belgium

Lafontaine, Dominique ^✱; Université de Liège - ULiège > Département des Sciences de l'éducation

Lavonen, Jari ^✱; Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland

Ólafsson, Ragnar F. ^✱; Directorate of Education, Reykjavík, Iceland

Trudel, Louis ^✱; Faculty of Education, University of Ottawa, Ottawa, Canada

Yoon, SaeYeol ^✱; Department of Education, Delaware State University, Dover, United States

^✱ These authors have contributed equally to this work.

Language :

English

Title :

What is the association between schoolwork-related anxiety and science literacy proficiency? A comparison between Southeast Asia and Northwest Europe

Publication date :

2024

Journal title :

Frontiers in Education

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2504-284X

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Frontiers

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Peer reviewed :

Peer Reviewed verified by ORBi

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https://www.frontiersin.org/articles/10.3389/feduc.2024.1414423/full

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Bibliography

Agarwal P. K. D. Antonio L. Roediger H. L. McDermott K. B. McDaniel M. A. (2014). Classroom-based programs of retrieval practice reduce middle school and high school students’ test anxiety. J. Appl. Res. Mem. Cogn. 3 131–139. 10.1016/j.jarmac.2014.07.002
Altun A. Kalkan ÖK. (2021). Cross-national study on students and school factors affecting science literacy. Educ. Stud. 47 403–421. 10.1080/03055698.2019.1702511
Anderson C. J. Kim J.-S. Keller B. (2014). “Multilevel modeling of categorical response variables,” in Handbook of international large-scale assessment: Background, technical issues, and methods of data analysis, eds Rutkowski L. von Davier M. Rutkowski D. (New York, NY: Taylor & Francis Group), 10.1201/b16061
Ang R. P. Klassen R. M. Chong W. H. Huan V. S. Wong I. Y. F. Leo L. S. et al. (2009). Cross-cultural invariance of the academic expectations stress inventory: Adolescent samples from Canada and Singapore. J. Adolesc. 32 1225–1237. 10.1016/j.adolescence.2009.01.009 19232705
Appel M. Weber S. Kronberger N. (2015). The influence of stereotype threat on immigrants: Review and meta-analysis. Front. Psychol. 6:900. 10.3389/fpsyg.2015.00900 26217256
Aronson J. Fried C. B. Good C. (2002). Reducing the effects of stereotype threat on African American college students by shaping theories of intelligence. J. Exp. Soc. Psychol. 38 113–125. 10.1006/jesp.2001.1491
Bandura A. (2005). “The evolution of social cognitive theory,” in Great minds in management, eds Smith K. G. Hitt M. A. (Oxford: Oxford University Press), 9–35.
Benlloch-Pla M. Solaz-Portolés J. J. Sanjosé-López V. (2019). Ansiedad ante las ciencias y pruebas de evaluación científicas: Efectos del nivel académico y genero. [Science and science assessment test anxiety: Gender and academic level effects.]. Rev. Científica 34 20–33. 10.14483/23448350.13542
Britner S. (2008). Motivation in high school science students: A comparison of gender differences in life, physical, and earth science classes. J. Res. Sci. Teach. 45 955–970. 10.1002/tea.20249
Brownlow S. Jacobi T. Rogers M. (2000). Science anxiety as a function of gender and experience. Sex Roles 42 119–131. 10.1023/A:1007040529319
Burns E. C. Martin A. J. Kennett R. K. Pearson J. Munro-Smith V. (2021). Optimizing science self-efficacy: A multilevel examination of the moderating effects of anxiety on the relationship between self-efficacy and achievement in science. Contemp. Educ. Psychol. 64:101937. 10.1016/j.cedpsych.2020.101937
Cardozo L. T. de Lima P. O. Morais Carvalho M. S. Casale K. R. Bettioli A. L. Ramoset al. (2023). Active learning methodology, associated to formative assessment, improved cardiac physiology knowledge and decreased pre-test stress and anxiety. Front. Physiol. 14:1261199. 10.3389/fphys.2023.1261199 37745242
Cardozo L. T. Ramos, de Azevedo M. A. Morais Carvalho M. S. Costa R. de Lima P. O. et al. (2020). Effect of an active learning methodology combined with formative assessments on performance, test anxiety, and stress of university students. Adv. Physiol. Educ. 44 744–751. 10.1152/advan.00075.2020 33205996
Carey E. Devine A. Hill F. Szücs D. (2017a). Differentiating anxiety forms and their role in academic performance from primary to secondary school. PLoS One 12:e0174418. 10.1371/journal.pone.0174418 28350857
Carey E. Hill F. Devine A. Szücs D. (2017b). The modified abbreviated math anxiety scale: A valid and reliable instrument for use with children. Front. Psychol. 8:11. 10.3389/fpsyg.2017.00011 28154542
Cassady J. C. Johnson R. E. (2002). Cognitive test anxiety and academic performance. Contemp. Educ. Psychol. 27 270–295. 10.1006/ceps.2001.1094
Chao T.-Y. Sung Y.-T. (2019). An investigation of the reasons for test anxiety, time spent studying, and achievement among adolescents in Taiwan. Asia Pac. J. Educ. 39 469–484. 10.1080/02188791.2019.1671804
Chao T.-Y. Sung Y.-T. (2023). Testing the uncertainty-of-stress model: Developing the adolescent uncertainty scale for Taiwanese adolescents. Asia Pac. Educ. Res. 32 531–544. 10.1007/s40299-022-00674-1
Chao T.-Y. Sung Y.-T. Tseng F.-L. (2024). High-stakes test anxiety among Taiwanese adolescents: A longitudinal study. Cogent Educ. 11:2321019. 10.1080/2331886X.2024.2321019
Chen H. (2012). Impact of parent’s socioeconomic status on perceived parental pressure and test anxiety among Chinese high school students. Int. J. Psychol. Stud. 4 235–245. 10.5539/ijps.v4n2p235
Cohen J. (1988). Statistical power analysis for the behavioral sciences, 2nd Edn. Hillsdale, NJ: Lawrence Erlbaum.
Cooper K. M. Downing V. R. Brownell S. E. (2018). The influence of active learning practices on student anxiety in large-enrollment college science classrooms. Int. J. STEM Educ. 5:23. 10.1186/s40594-018-0123-6 30631713
Daniel K. L. (2016). Impacts of active learning on student outcomes in large-lecture biology courses. Am. Biol. Teach. 78 651–655. 10.1525/abt.2016.78.8.651
Dávila-Acedo M. A. Airado-Rodríguez D. Cañada-Cañada F. Sánchez-Martín J. (2021). Detailed emotional profile of secondary education students toward learning physics and chemistry. Front. Psychol. 12:659009. 10.3389/fpsyg.2021.659009 34421714
Downing V. R. Cooper K. M. Cala J. M. Gin L. E. Brownell S. E. (2020). Fear of negative evaluation and student anxiety in community college active-learning science courses. CBE Life Sci. Educ. 19:ar20. 10.1187/cbe.19-09-0186 32453679
England B. J. Brigati J. R. Schussler E. E. (2017). Student anxiety in introductory biology classrooms: Perceptions about active learning and persistence in the major. PLoS One 12:e0182506. 10.371/journal.pone.0182506
Eshet Y. Steinberger P. Grinautsky K. (2021). Relationship between statistics anxiety and academic dishonesty: A comparison between learning environments in social sciences. Sustainability 13:1564. 10.3390/su13031564
Everson H. Millsap R. E. Browne J. (1989). Cognitive interference or skills deficit: An empirical test of two competing theories of test anxiety. Anxiety Res. 1 313–325. 10.1080/08917778908248728
Foley A. E. Herts J. B. Borgonovi F. Guerriero S. Levine S. C. Beilock S. L. (2017). The math anxiety-performance link: A global phenomenon. Curr. Dir. Psychol. Sci. 26 52–58. 10.1177/0963721416672463
Fung D. (2020). The impacts of effective group work on social and gender differences in Hong Kong science classrooms. Int. J. Sci. Educ. 42 372–405. 10.1080/09500693.2020.1713419
Gherasim L. R. Butnaru S. (2012). The effort attribution, text anxiety, and achievement in sciences: The moderating effect of parental behavior. Int. J. Learn. 18 283–294. 10.18848/1447-9494/CGP/v18i10/47671
Govorova E. Benitez I. Muñiz J. (2020). How schools affect student well-being: A cross-cultural approach in 35 OECD countries. Front. Psychol. 11:431. 10.3389/fpsyg.2020.00431 32269538
Grabau L. J. (2022). “Antecedents and associations of test anxiety in the context of science literacy,” in Proceedings of the APA annual meeting proceedings, (Minneapolis, MN).
Grabau L. J. Ma X. (2017). Science engagement and science achievement in the context of science instruction: A multilevel analysis of U.S. students and schools. Int. J. Sci. Educ. 39 1045–1068. 10.1080/09500693.2017.1313468
Grabau L. J. Van Damme J. (2023). School stratification and science climate in early secondary education in Ireland and Flanders: Associations with students’ science dispositions and science literacy. Int. J. Sci. Maths. Educ. 10.1007/s10763-023-10439-x [Epub ahead of print].
Grabau L. J. Lavonen J. Juuti K. (2021). Finland, a package deal: Disciplinary climate in science classes, science dispositions and science literacy. Sustainability 13:13857. 10.3390/su13241.3857
Grabau L. J. Trudel L. Ma X. (2022). Associations between science dispositions and science literacy: A comparison of the United States and Canada. Int. J. Sci. Educ. 44 1440–1461. 10.1080/09500693.2022.2080887
Hembree R. (1988). Correlates, causes, effects, and treatment of test anxiety. Rev. Educ. Res. 58 47–77. 10.3102/00346543058001047 38293548
Holm M. E. Hannula M. S. Bjorn P. M. (2017). Mathematics-related emotions among Finnish adolescents across different performance levels. Educ. Psychol. 37 205–218. 10.1080/01443410.2016.1152354
Hong Z.-R. (2010). Effects of a collaborative science intervention on high achieving students’ learning anxiety and attitudes towards science. Int. J. Sci. Educ. 32 1971–1988. 10.1080/09500690903229304
Jerrim J. (2023). Test anxiety: Is it associated with performance in high-stakes examinations? Oxford Rev. Educ. 49 321–341. 10.1080/03054985.2022.2079616
Jerrim J. Zieger L. (2024). How robust are socio-economic achievement gradients using PISA data? A case study from Germany. Br. Educ. Res. J. 50 438–353. 10.1002/berj.3934
Jerrim J. Lopez-Agudo L. A. Marcenaro-Guitierrez O. D. Shure N. (2017). What happens when econometrics and psychometrics collide? An example using PISA data. Econ. Educ. Rev. 61 51–58. 10.1016/j.econedurev.2017.09.007
Jia B. Zhu Z. Gao H. (2021). International comparative study of statistics learning trajectories based on PISA data on cognitive diagnostic models. Front. Psychol. 12:657858. 10.3389/fpsyg.2021.657858 34354630
Keller J. (2007). Stereotype threat in classroom settings: The interactive effect of domain identification, task difficulty and stereotype threat on female students’ Maths performance. Br. J. Educ. Psychol. 77 323–338. 10.1348/000709906X113662 17504550
King R. B. Cai Y. Elliot A. J. (2024). Income inequality is associated with heightened test anxiety and lower academic achievement: A cross-national study in 51 countries. Learn. Instruct. 54:101825. 10.1016/j.learninstruc.2023.101825
Kuo Y.-R. Tuan H.-L. Chin C. C. (2020). The influence of inquiry-based teaching on male and female students’ motivation and engagement. Res. Sci. Educ. 50 549–572. 10.1007/s11165-018-9701-3
Kurbanoğlu N. I Nefes F. K. (2015). Effect of context-based questions on secondary school students’ test anxiety and science attitude. J. Baltic Sci. Educ. 14 216–226. 10.33225/jbse/15.14.216
Kurbanoğlu N. I. Akin A. (2015). Development of a scale to measure organic chemistry anxiety level of university students. J. Baltic Sci. Educ. 14 391–400. 10.33225/jbse/15.14.391
Kurbanoğlu N. I. Nefes F. K. (2016). Context-based questions in science education: Their effects on test anxiety and science achievement in relation to the gender of secondary school students. J. Baltic Sci. Educ. 15 382–390. 10.33225/jbse/16.15.382
Kurbanoğlu N. I. Takunyaci M. (2017). Development and evaluation of an instrument measuring anxiety towards physics laboratory classes among university students. J. Baltic Sci. Educ. 16 592–598. 10.33225/jbse/17.16.592
Lafontaine D. Dupont V. Jaegers D. Schillings P. (2019). Self-concept in reading: Factor structure, cross-cultural invariance and relationships with reading achievement in an international context (PIRLS 2011). Stud. Educ. Eval. 60 48–89. 10.1016/j.stueduc.2018.11.005
Lau K.-C. Lam T. Y.-P. (2017). Instructional practices and science performance of 10 top-performing regions in PISA 2015. Int. J. Sci. Educ. 39 2128–2149. 10.1080/09500693.2017.1387947
Lau N. T. T. Hawes Z. Tremblay P. Ansari D. (2022). Disentangling the individual and contextual effects of math anxiety: A global perspective. Proc. Natl. Acad. Sci. U.S.A. 119:e21125855119. 10.1073/pnas.2115855119 35131942
Lee M. Larson R. (2000). The Korean examination hell: Long hours of studying, distress, and depression. J. Youth Adolesc. 29 249–272. 10.1023/A:1005160717081
Leonard N. R. Gwadz M. V. Ritchie A. Linick J. L. Cleland C. M. Elliot L. et al. (2015). A multi-method exploratory study of stress, coping, and substance use among high school youth in private schools. Front. Psychol. 6:1028. 10.3389/fpsyg.2015.01028 26257685
List M. K. Schmidt F. T. C. Mundt D. Föste-Eggers D. (2020). Still green at fifteen? Investigating environmental awareness of the PISA 2015 population: Cross-national differences and correlates. Sustainability 12:2985. 10.3390/su12072985
Liu Y. He W. Zhao L. (2022). Effects of inquiry learning with different task orders on fifth graders’ individual and situational interest and concept achievement in science education. J. Baltic Sci. Educ. 21 849–861. 10.33225/jbse/22.21.849
Lotz C. Sparfeldt J. R. (2017). Does test anxiety increase as the exam draws near?—Students’ state test anxiety recorded over the course of one semester. Pers. Individ. Differ. 104 397–400. 10.1016/j.paid.2016.08.032
Mallow J. V. (1978). A science anxiety program. Am. J. Phys. 46:862. 10.1119/1.11409
Mallow J. V. (1994). Gender-related science anxiety: A first binational study. J. Sci. Educ. Technol. 3 227–238. 10.1007/BF01575898
Mallow J. V. Kastrup H. (2023). Fear of physics: And how to help students overcome it. Bristol: IOP, 10.1088/978-0-7503-4866-9ch15
Megreya A. M. Szücs D. Moustafa A. A. (2021). The abbreviated science anxiety scale: Psychometric properties, gender differences and associations with test anxiety, general anxiety and science achievement. PLoS One 16:e0245200. 10.1371/journal.pone.0245200 33577578
Ministry of Education and Culture, Finland [MECF] (2024). Finnish education system. Available online at: https://okm.fi/en/education-system (accessed June 1, 2024).
Minor S. W. Gold S. R. (1985). Worry and emotionality components of test anxiety. J. Pers. Assess. 49 82–85.
Molin F. Cabus S. Haelermans C. Groot W. (2021). Toward reducing anxiety and increasing performance in physics education: Evidence from a randomized experiment. Res. Sci. Educ. 51 S233–S249. 10.1007/s1165-019-9845-9
Munz D. C. Costello C. T. Korabik K. (1975). A further test of the inverted-U hypothesis relating achievement anxiety to academic test performance. J. Psychol. 38 39–47. 10.1080/00223980.1975.9923904 1123805
National Center for Education Statistics [NCES] (2023). Methodology and technical notes, PISA 2015, proficiency levels. Washington, DC: National Center for Education Statistics [NCES].
Núñez-Peña M. I. Suárez-Pellicioni Bono R. (2016). Gender differences in test anxiety and their impact on higher education students’ academic achievement. Proc. Soil Behav. Sci. 228 154–160. 10.1016/j.sbspro.2016.07.023
OECD (2016a). PISA 2015 database. Paris: OECD Publishing.
OECD (2016b). Science performance among 15-year-olds, PISA 2015 results (Volume I): Excellence and equity in education. Paris: OECD Publishing.
OECD (2016c). Student questionnaire, PISA 2015. Paris: OECD Publishing.
OECD (2017a). PISA 2015 technical report. Paris: OECD Publishing.
OECD (2017b). Schoolwork-related anxiety, PISA 2015 results (Volume III): Students’ well-being. Paris: OECD Publishing, 10.1787/9789264273856-8-en 38483583
OECD (2018a). PISA 2015 results in focus. Paris: OECD Publishing.
OECD (2018b). PISA for development assessment and analytical framework: Reading, mathematics and science. Paris: OECD Publishing, 10.1787/9789264305274-en 38483583
Ólafsson R. F. Hansen B. (2022). Characteristics of the authority basis of Icelandic compulsory school principals in comparison to other TALIS countries. Educ. Sci. 12:219. 10.3390/educsci12030219
Putwain D. Daly A. L. (2014). Test anxiety prevalence and gender differences in a sample of English secondary school students. Educ. Stud. 40 554–570. 10.1080/03055698.2014.953914
Raudenbush S. W. Bryk A. S. Congdon R. (2011). HLM 7 for windows. [Computer software]. Skokie, IL: Scientific Software International, Inc.
Ronkainen R. Kuusisto E. Eisenschmidt E. Tirri K. (2023). Purposeful teachers and teaching in Finland and Estonia. Teach. Teach. 10.1080/13540602.2023.2287080
Roo A. K. Ardasheva Y. Newcomer S. N. Vidrio Magaña M. (2020). Contributions of tracking, literacy skills, and attitudes to science achievement of students with varied English proficiency. Int. J. Biling. Educ. Biling. 23 1108–1124. 10.1080/12670050.2018.1434125
Rutkowski L. Svetina D. (2014). Assessing the hypothesis of measurement invariance in the context of large-scale international surveys. Educ. Psychol. Meas. 74 31–57. 10.1177/0013164413498257
Sahranavard M. Hassan S. A. Elias H. Abdullah M. C. (2013). Comparison of scores in psychological measurement tools of 8th grade Iranian students from various income levels. Asia Life Sci. 22 61–73.
Scanlon C. L. Del Toro J. Wang M.-T. (2020). Socially anxious science achievers: The roles of peer social support and social engagement in the relation between adolescents’ social anxiety and science achievement. J. Youth Adolesc. 49 1005–1016. 10.1007/s10964-020-01224-y 32206958
Schunk D. E. DiBenedetto M. K. (2020). Motivation and social cognitive theory. Contemp. Educ. Psychol. 60:101832. 10.1016/j.cedpsych.2019.101832
Scientific Software International [SSI] (2019). HLM 8 for windows. Baltimore, MD: Scientific Software International [SSI].
Seo E. Lee Y.-K. (2021). Stereotype threat in high school classrooms: How it links to teacher mindset climate, mathematics anxiety, and achievement. J. Youth Adolesc. 50 1410–1423. 10.1007/s10964-021-01435-x 33913043
Shields N. (2001). Stress, active coping, and academic performance among persisting and nonpersisting college students. J. Appl. Biobehav. Res. 6 65–81. 10.1111/j.1751-9861.2001.tb00107.x
Sommer M. Arendasy M. E. (2014). Comparing different explanations of the effect of test anxiety on respondents’ test scores. Intelligence 42 115–127. 10.1016/j.intell.2013.11.003
Sommer M. Arendasy M. E. (2015). Further evidence for the deficit account of the test anxiety-test performance relationships from a high-stakes admission testing setting. Intelligence 53 72–80. 10.1016/j.intell.2015.08.007
Spencer S. J. Steele C. M. Quinn D. M. (1999). Stereotype threat and women’s math performance. J. Exp. Soc. Psychol. 35 4–28. 10.1006/jesp.1998.1373
Stoet G. Bailey D. H. Moore A. M. Geary D. C. (2016). Countries with higher levels of gender equality show larger national sex differences on mathematics anxiety and relatively lower parental mathematics valuation for girls. PLoS One 11:e0153857. 10.1371/journal.pone.0153857 27100631
Struthers C. W. Perry R. P. Menec V. H. (2000). An examination of the relationship among academic stress, coping, motivation, and performance in college. Res. High. Educ. 41 581–592. 10.1023/A:1007094931292
Stupurienė G. Jevsikova T. Juškevičienė A. (2022). Solving ecological problems through physical computing to ensure gender balance in STEM education. Sustainability 14:4924. 10.3390/su14094924
Sung Y.-T. Chao T.-Y. (2015). Construction of an examination stress scale for adolescent students. Meas. Eval. Couns. Dev. 48 44–58. 10.1177/0748175614538062
Sung Y.-T. Chao T.-Y. Tseng F.-L. (2016). Reexamining the relationship between test anxiety and learning achievement: An individual-differences perspective. Contemp. Educ. Psychol. 46 241–252. 10.1016/j.cedpsych.2016.07.001
Tobias S. (1985). Test anxiety: Inference, defective skills, and cognitive capacity. Educ. Psychol. 20 135–142. 10.1207/s15326985ep2003_3
Udo M. K. Ramsey G. P. Mallow J. V. (2004). Science anxiety and gender in students taking general education science courses. J. Sci. Educ. Technol. 13 435–446. 10.1007/s10956-004-1465-z
von der Embse N. Jester D. Roy D. Post J. (2018). Test anxiety effects, predictors, and correlates: A 30-year meta-analytic review. J. Affect. Disord. 227 483–493. 10.1016/j.jad.2017.11.048 29156362
Wan Z. H. Lee J. C. K. (2017). Hong Kong secondary school students’ attitudes towards science: A study of structural models and gender differences. Int. J. Sci. Educ. 39 507–527. 10.1080/09500693.2017.1292015
Wang C. Zhao H. (2020). The impact of COVID-19 on anxiety in Chinese university students. Front. Psychol. 11:1168. 10.3389/fpsyg.2020.01168 32574244
Wigfield A. Eccles J. S. (1989). Test anxiety in elementary and secondary school students. Educ. Psychol. 24 159–183. 10.1207/s15326985ep2402_3
Wissmann M. Toutenburg H. Shalabh. (2007). Role of categorical variables in multicollinearity in the linear regression model. Technical report No. 008. Munich: University of Munich.
Xin S. Wang Y. Sheng L. (2020). Impact of social changes and birth cohort on anxiety in adolescents in mainland China (1992-2017): A cross-temporal meta-analysis. Child. Youth Serv. Rev. 116:105159. 10.1016/j.childyouth.2020.105159
Yaremych H. E. Preacher K. J. Hedeker D. (2023). Centering categorical predictors in multilevel models: Best practices and interpretation. Psychol. Methods 28 613–630. 10.1037/met0000434 34914468
Yildirim S. (2012). Teacher support, motivation, learning strategy use, and achievement: A multilevel mediation model. J. Exp. Educ. 80 150–172. 10.1080/00220973.2011.596855