Cultural Capital and Its Impact on Academic Achievement: Sustainable Development of Chinese High School Students
Abstract
:1. Introduction
2. Literature Review
2.1. Cultural Capital Theory
2.2. Cultural Capital and Academic Achievement
2.2.1. The Institutionalized State
2.2.2. The Objectified State
2.2.3. The Embodied State
2.3. The Present Study
- What effect does family cultural capital have on high school students’ academic achievement?
- How does family cultural capital impact high school students’ academic success by region?
- How does family cultural capital affect high school students’ academic success by gender?
3. Materials and Methods
3.1. Participants
3.2. Measures
3.2.1. Dependent Variable
3.2.2. Independent Variable
3.2.3. Controls
3.3. Model Setting
4. Results
4.1. The Relationship between Family Cultural Capital and Academic Performance
4.2. The Influence of Family Cultural Capital on the Academic Achievement
4.3. The Influence of Family Cultural Capital on the Academic Achievement in Different Regions
4.4. The Effect of Family Cultural Capital on the Academic Achievement for Females and Males
5. Discussion
5.1. The Influence of Family Cultural Capital on Students’ Academic Achievement
5.1.1. Institutionalized State Had a Significant Effect on Students’ Academic Achievement
5.1.2. Embodied State Had a Significant Effect on Students’ Academic Achievement
5.1.3. Objectified State Had No Significant Effect on Students’ Academic Achievement
5.2. The Influence of Family Cultural Capital on Students’ Academic Achievement in Different Regions
5.2.1. Fathers’ Education Had a Significant Effect on the Overall Scores of Beijing Students
5.2.2. Mothers’ Education Had a Significant Effect on Shandong Students’ Math, English and Total Scores
5.2.3. Embodied State Had a Significantly Negative Effect on Beijing Students
5.2.4. Embodied State Had a Significant Effect on Shandong Students
5.3. The Influence of Family Cultural Capital on Students’ Academic Achievement for Different Genders
5.3.1. The Father’s Education and Students’ Personal Talent Had a Positive Effect on the Academic Achievement of Female Students
5.3.2. The Institutionalized State and Embodied State Had Different Effect on Male Students’ Academic Achievement
6. Conclusions
7. Limitations and Future Work
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- UN. The Sustainable Development Goals. Available online: https://www.un.org/sustainabledevelopment/education/ (accessed on 2 May 2022).
- Sachs, J.; Kroll, C.; Lafortune, G.; Fuller, G.; Woelm, F. Sustainable Development Report 2022; Cambridge University Press: Cambridge, UK, 2022. [Google Scholar]
- Sachs, J.; Kroll, C.; Lafortune, G.; Fuller, G.; Woelm, F. Sustainable Development Report 2021; Cambridge University Press: Cambridge, UK, 2021. [Google Scholar]
- UNESCO. The Education 2030 Framework for Action. Available online: https://en.unesco.org/news/education-2030-framework-action-be-formallyadopted-and-launched (accessed on 12 March 2022).
- Parolin, Z.; Lee, E.K. Large socio-economic, geographic and demographic disparities exist in exposure to school closures. Nat. Hum. Behav. 2021, 5, 522–528. [Google Scholar] [CrossRef] [PubMed]
- Bourdieu, P.; Passeron, J.-C. Reproduction in Education, Society and Culture; Sage: New York, NY, USA, 1990; Volume 4. [Google Scholar]
- Bourdieu, P. Distinction a social critique of the judgement of taste. In Inequality Classic Readings in Race, Class, and Gender; Routledge: London, UK, 2018; pp. 287–318. [Google Scholar]
- Breinholt, A.; Jæger, M.M. How does cultural capital affect educational performance: Signals or skills? Br. J. Sociol. 2020, 71, 28–46. [Google Scholar] [CrossRef] [PubMed]
- Byun, S.-Y.; Schofer, E.; Kim, K.-K. Revisiting the Role of Cultural Capital in East Asian Educational Systems:The Case of South Korea. Sociol. Educ. 2012, 85, 219–239. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- DiMaggio, P. Social stratification, life-style, social cognition, and social participation. In Social Stratification; Routledge: London, UK, 2019; pp. 542–552. [Google Scholar]
- DiMaggio, P. Cultural capital and school success: The impact of status culture participation on the grades of US high school students. Am. Sociol. Rev. 1982, 47, 189–201. [Google Scholar] [CrossRef]
- Jiao, S.; Wang, J.; Ma, X.; You, Z.; Jiang, D. Motivation and Its Impact on Language Achievement: Sustainable Development of Ethnic Minority Students’ Second Language Learning. Sustainability 2022, 14, 7898. [Google Scholar] [CrossRef]
- Jiao, S.; Liang, F. Sustainable Development of High School English Learners in China: Motivation and Its Impact on Their English Achievement. Sustainability 2022, 14, 12619. [Google Scholar] [CrossRef]
- Bourdieu, P. The Logic of Practice; Stanford University Press: Redwood City, CA, USA, 1990. [Google Scholar]
- Jæger, M.M.; Karlson, K. Cultural capital and educational inequality: A counterfactual analysis. Sociol. Sci. 2018, 5, 775–795. [Google Scholar] [CrossRef] [Green Version]
- Bourdieu, P. Cultural Reproduction and Social Reproduction; Routledge: London, UK, 1973; p. 178. [Google Scholar]
- Halsey, A.H.; Lauder, H.; Brown, P.; Wells, A.S. Education: Culture, Economy and Society; Oxford University Press: Oxford, UK, 1997. [Google Scholar]
- Bourdieu, P. The forms of capital. (1986). Cult. Theory Anthol. 2011, 1, 81–93. [Google Scholar]
- Bourdieu, P. The forms of capital. In The Sociology of Economic Life; Routledge: London, UK, 2018; pp. 78–92. [Google Scholar]
- Jæger, M.M.; Møllegaard, S. Cultural capital, teacher bias, and educational success: New evidence from monozygotic twins. Soc. Sci. Res. 2017, 65, 130–144. [Google Scholar] [CrossRef]
- Kingston, P.W. The unfulfilled promise of cultural capital theory. Sociol. Educ. 2001, 74, 88–99. [Google Scholar] [CrossRef]
- Sieben, S.; Lechner, C.M. Measuring cultural capital through the number of books in the household. Meas. Instrum. Soc. Sci. 2019, 1, 1–6. [Google Scholar] [CrossRef] [Green Version]
- Tan, C.Y.; Peng, B.; Lyu, M. What types of cultural capital benefit students’ academic achievement at different educational stages? Interrogating the meta-analytic evidence. Educ. Res. Rev. 2019, 28, 100289. [Google Scholar] [CrossRef]
- Jæger, M.M. Does cultural capital really affect academic achievement? New evidence from combined sibling and panel data. Sociol. Educ. 2011, 84, 281–298. [Google Scholar] [CrossRef]
- Bourdieu, P. Outline of a Theory of Practice; Routledge: London, UK, 2020. [Google Scholar]
- Mikus, K.; Tieben, N.; Schober, P.S. Children’s conversion of cultural capital into educational success: The symbolic and skill-generating functions of cultural capital. Br. J. Sociol. Educ. 2020, 41, 197–217. [Google Scholar] [CrossRef]
- Castellanos-Simons, D.; Pérez-Pacheco, K.M.; Hernández-Padilla, E. Psychological Well-Being and Its Relations to School Trajectory and Family Educational Capital in High Intellectual Ability Adolescents. Sustainability 2020, 12, 9190. [Google Scholar] [CrossRef]
- Hampden-Thompson, G.; Johnston, J. Variation in the Relationship between Non School Factors and Student Achievement on International Assessments; US Government Printing Office: Washington, DC, USA, 2006. [Google Scholar]
- Kraaykamp, G.; van Eijck, K. The Intergenerational Reproduction of Cultural Capital: A Threefold Perspective. Soc. Forces 2010, 89, 209–231. [Google Scholar] [CrossRef] [Green Version]
- Chiang, T.-H.; Toh, C.-W.; Zhang, R.; Thurston, A.; MacKenzie, A. The embeddedness of visionary agency within the economic-cultural-capital formation: A case of Sino-Malaysian high school graduates. Int. J. Educ. Res. 2022, 112, 101946. [Google Scholar] [CrossRef]
- Xie, C.; Ma, Y. The mediating role of cultural capital in the relationship between socioeconomic status and student achievement in 14 economies. Br. Educ. Res. J. 2019, 45, 838–855. [Google Scholar] [CrossRef]
- Tan, C.Y.; Liu, D. What is the influence of cultural capital on student reading achievement in Confucian as compared to non-Confucian heritage societies? Comp. J. Comp. Int. Educ. 2018, 48, 896–914. [Google Scholar] [CrossRef] [Green Version]
- Dumais, S.A. Cultural capital, gender, and school success: The role of habitus. Sociol. Educ. 2002, 75, 44–68. [Google Scholar] [CrossRef]
- Kloosterman, R.; Notten, N.; Tolsma, J.; Kraaykamp, G. The effects of parental reading socialization and early school involvement on children’s academic performance: A panel study of primary school pupils in The Netherlands. Eur. Sociol. Rev. 2011, 27, 291–306. [Google Scholar] [CrossRef]
- De Graaf, N.D.; De Graaf, P.M.; Kraaykamp, G. Parental Cultural Capital and Educational Attainment in the Netherlands: A Refinement of the Cultural Capital Perspective. Sociol. Educ. 2000, 73, 92–111. [Google Scholar] [CrossRef]
- Tan, C.Y. What PISA and ASPIRES studies tell us about the nuanced influence of cultural capital on student learning: Construct complexity, student outcomes and contexts. Br. Educ. Res. J. 2020, 46, 1338–1356. [Google Scholar] [CrossRef]
- Purhonen, S.; Gronow, J.; Rahkonen, K. Highbrow culture in Finland: Knowledge, taste and participation. Acta Sociol. 2011, 54, 385–402. [Google Scholar] [CrossRef]
- Van Hek, M.; Kraaykamp, G. Cultural consumption across countries: A multi-level analysis of social inequality in highbrow culture in Europe. Poetics 2013, 41, 323–341. [Google Scholar] [CrossRef]
- Liu, J.; Peng, P.; Luo, L. The relation between family socioeconomic status and academic achievement in China: A meta-analysis. Educ. Psychol. Rev. 2020, 32, 49–76. [Google Scholar] [CrossRef]
- Wang, J.; Rao, N. What do Chinese students say about their academic motivational goals—Reasons underlying academic strivings? Asia Pac. J. Educ. 2020, 42, 245–259. [Google Scholar] [CrossRef]
- Zou, W.; Li, J.; Shu, Z. Urban Quality of Life and Production Amenity in Chinese Cities. Sustainability 2022, 14, 2434. [Google Scholar] [CrossRef]
- DiMaggio, P. Social structure, institutions, and cultural goods: The case of the United States. In Social Theory for a Changing Society; Routledge: London, UK, 2019; pp. 133–166. [Google Scholar]
- Ng, F.F.-Y.; Pomerantz, E.M.; Deng, C. Why Are Chinese Mothers More Controlling Than American Mothers? “My Child Is My Report Card”. Child Dev. 2014, 85, 355–369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Crede, J.; Wirthwein, L.; McElvany, N.; Steinmayr, R. Adolescents’ academic achievement and life satisfaction: The role of parents’ education. Front. Psychol. 2015, 6, 52. [Google Scholar] [CrossRef] [Green Version]
- Hill, N.E. Including fathers in the picture: A meta-analysis of parental involvement and students’ academic achievement. J. Educ. Psychol. 2015, 107, 919. [Google Scholar]
- Rollè, L.; Gullotta, G.; Trombetta, T.; Curti, L.; Gerino, E.; Brustia, P.; Caldarera, A.M. Father involvement and cognitive development in early and middle childhood: A systematic review. Front. Psychol. 2019, 10, 2405. [Google Scholar] [CrossRef] [PubMed]
- Lara, L.; Saracostti, M. Effect of Parental Involvement on Children’s Academic Achievement in Chile. Front. Psychol. 2019, 10, 1464. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sasson, I. The role of informal science centers in science education: Attitudes, skills, and self-efficacy. JOTSE J. Technol. Sci. Educ. 2014, 4, 167–179. [Google Scholar] [CrossRef] [Green Version]
- Whitesell, E.R. A day at the museum: The impact of field trips on middle school science achievement. J. Res. Sci. Teach. 2016, 53, 1036–1054. [Google Scholar] [CrossRef]
- Saredakis, D.; Szpak, A.; Birckhead, B.; Keage, H.A.; Rizzo, A.; Loetscher, T. Factors associated with virtual reality sickness in head-mounted displays: A systematic review and meta-analysis. Front. Hum. Neurosci. 2020, 14, 96. [Google Scholar] [CrossRef] [Green Version]
- Coley, R.L.; Kruzik, C.; Votruba-Drzal, E. Do family investments explain growing socioeconomic disparities in children’s reading, math, and science achievement during school versus summer months? J. Educ. Psychol. 2020, 112, 1183. [Google Scholar] [CrossRef]
- Van Geel, J. Conflicting framings: Young Ghanaians’ and Dutch education professionals’ views on the impact of mobility on education. Crit. Stud. Educ. 2022, 63, 163–179. [Google Scholar] [CrossRef] [Green Version]
- Campillo-Ferrer, J.M.; Miralles-Martínez, P. Effectiveness of the flipped classroom model on students’ self-reported motivation and learning during the COVID-19 pandemic. Humanit. Soc. Sci. Commun. 2021, 8, 176. [Google Scholar] [CrossRef]
- Wang, M.; Zhao, X.; Gong, Q.; Ji, Z. Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China. Sustainability 2019, 11, 280. [Google Scholar] [CrossRef] [Green Version]
- Lichand, G.; Doria, C.A.; Leal-Neto, O.; Fernandes, J.P.C. The impacts of remote learning in secondary education during the pandemic in Brazil. Nat. Hum. Behav. 2022, 6, 1079–1086. [Google Scholar] [CrossRef] [PubMed]
- UN. Global Education Coalition. Available online: https://en.unesco.org/covid19/educationresponse/globalcoalition (accessed on 6 May 2022).
- Ali, W. Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. High. Educ. Stud. 2020, 10, 16–25. [Google Scholar] [CrossRef]
- Angrist, N.; Bergman, P.; Matsheng, M. Experimental evidence on learning using low-tech when school is out. Nat. Hum. Behav. 2022, 6, 941–950. [Google Scholar] [CrossRef]
- Han, X.; Shen, Y.; Zhao, B. Winning at the starting line: The primary school premium and housing prices in Beijing. China Econ. Q. Int. 2021, 1, 29–42. [Google Scholar] [CrossRef]
- Qin, P.; Wang, L. Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing. Transp. Policy 2019, 81, 331–339. [Google Scholar] [CrossRef]
- Li, Z.; Qiu, Z. How does family background affect children’s educational achievement? Evidence from Contemporary China. J. Chin. Sociol. 2018, 5, 13. [Google Scholar] [CrossRef]
- Li, X.; Yang, Z.; Chen, S.; Ma, S. Research on A Machine Scoring Method of Role-Play Section in English Oral Test. In Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne, Australia, 14–17 December 2021; Association for Computing Machinery: New York, NY, USA, 2021; pp. 380–386. [Google Scholar]
- Sheng, X. Cultural capital and gender differences in parental involvement in children’s schooling and higher education choice in China. Gend. Educ. 2012, 24, 131–146. [Google Scholar] [CrossRef]
- Guo, X.; Lv, B.; Zhou, H.; Liu, C.; Liu, J.; Jiang, K.; Luo, L. Gender Differences in How Family Income and Parental Education Relate to Reading Achievement in China: The Mediating Role of Parental Expectation and Parental Involvement. Front. Psychol. 2018, 9, 783. [Google Scholar] [CrossRef] [Green Version]
- Wong, B.; Kemp, P.E.J. Technical boys and creative girls: The career aspirations of digitally skilled youths. Camb. J. Educ. 2018, 48, 301–316. [Google Scholar] [CrossRef] [Green Version]
- Makarova, E.; Aeschlimann, B.; Herzog, W. The Gender Gap in STEM Fields: The Impact of the Gender Stereotype of Math and Science on Secondary Students’ Career Aspirations. Front. Educ. 2019, 4, 60. [Google Scholar] [CrossRef]
- Tisza, G.; Papavlasopoulou, S.; Christidou, D.; Voulgari, I.; Iivari, N.; Giannakos, M.N.; Kinnula, M.; Markopoulos, P. The role of age and gender on implementing informal and non-formal science learning activities for children. In Proceedings of the FabLearn Europe 2019 Conference, Oulu, Finland, 28–29 May 2019; Association for Computing Machinery: New York, NY, USA, 2019; p. 10. [Google Scholar]
- Jiao, S.; Jin, H.; You, Z.; Wang, J. Motivation and Its Effect on Language Achievement: Sustainable Development of Chinese Middle School Students’ Second Language Learning. Sustainability 2022, 14, 9918. [Google Scholar] [CrossRef]
- Ryan, R.M.; Deci, E.L. Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemp. Educ. Psychol. 2020, 61, 101860. [Google Scholar] [CrossRef]
Variable | Factors | The Variable Name | Description and Coding |
---|---|---|---|
Dependent variable | Academic achievement | Score in Chinese, Math, English, and total score | Scores of the three subjects and the total score |
Independent variable | Institutionalized state | Father’s education | 1 = primary school and below, 2 = junior high school, 3 = senior high school/vocational high school, 4 = vocational college, 5 = bachelor’s degree, 6 = master’s degree, 7 = doctor’s degree |
Mother’s education | 1 = primary school and below, 2 = junior high school, 3 = senior high school/vocational high school, 4 = vocational college, 5 = bachelor’s degree, 6 = master’s degree, 7 = doctor’s degree | ||
Objectified state | Family collection of books | 1 = 0–10 books, 2 = 11–20 books, 3 = 21–50 books, 4 = 51–100 books, 5 = 101–200 books, 6 = 201–300 books, 7 = 301 books or more | |
Embodied state | Personal talent | 1 = no talent, 2 = 1 talent, 3 = 2 talents, 4 = 3 talents, 5 = 4 talents, 6 = 5 talents, 7 = 6 or more talents | |
Frequency of museum/art gallery visits | 1 = never, 2 = once every 1–2 years, 3 = once a year, 4 = once every 3–6 months, 5 = once every 1–2 months, 6 = at least once a month, 7 = at least once a week | ||
Frequency of visits to science museums | |||
Frequency of attending concerts/plays | |||
Frequency of traveling within the city | |||
Frequency of traveling outside the city | |||
Frequency of oversea travels | |||
Control variable | -- | Gender | 1 = boy, 2 = girl |
Grade | 1 = grade 10, 2 = grade 11, 3 = grade 12 | ||
Area | 1 = Beijing, 2 = Shandong | ||
Family income | 1 = extremely low, 2 = relatively low, 3 = moderate, 4 = relatively high, 5 = extremely high | ||
Number of children in family | 1 = one child, 2 = two children, 3 = three or more children |
Variable | Minimum | Maximum | Mean | SD |
---|---|---|---|---|
Gender | 1 | 2 | 1.50 | 0.500 |
Grade | 1 | 3 | 1.89 | 0.827 |
Area | 1 | 2 | 2.39 | 0.487 |
Family income | 1 | 5 | 2.87 | 1.163 |
Number of children in family | 1 | 3 | 1.88 | 0.798 |
Father’s education | 1 | 7 | 3.68 | 1.672 |
Mother’s education | 1 | 7 | 3.40 | 1.764 |
Family collection of books | 1 | 7 | 4.25 | 2.049 |
Personal talent | 1 | 7 | 3.09 | 1.794 |
Frequency of museum/art gallery visits | 1 | 7 | 2.44 | 1.256 |
Frequency of visits to science museums | 1 | 7 | 2.03 | 1.124 |
Frequency of attending concerts/plays | 1 | 7 | 1.92 | 1.265 |
Frequency of traveling within the city | 1 | 7 | 3.73 | 1.819 |
Frequency of traveling outside the city | 1 | 7 | 2.53 | 1.149 |
Frequency of oversea travels | 1 | 7 | 1.55 | 0.870 |
Chinese score | 11.00 | 150.00 | 101.687 | 14.926 |
Math score | 14.00 | 150.00 | 88.038 | 35.556 |
English score | 20.00 | 150.00 | 97.450 | 31.071 |
Total score | 100.00 | 450.00 | 287.175 | 72.540 |
Variable | Total Score | Chinese | Math | English |
---|---|---|---|---|
Father’s education | 0.646 ** | 0.427 ** | 0.601 ** | 0.616 ** |
Mother’s education | 0.665 ** | 0.427 ** | 0.626 ** | 0.630 ** |
Family collection of books | 0.525 ** | 0.356 ** | 0.470 ** | 0.517 ** |
Personal talent | 0.406 ** | 0.300 ** | 0.365 ** | 0.386 ** |
Frequency of museum/art gallery visits | 0.528 ** | 0.379 ** | 0.473 ** | 0.509 ** |
Frequency of visits to science museums | 0.521 ** | 0.355 ** | 0.480 ** | 0.497 ** |
Frequency of attending concerts/plays | 0.464 ** | 0.333 ** | 0.433 ** | 0.428 ** |
Frequency of traveling within the city | 0.153 ** | 0.098 ** | 0.134 ** | 0.156 ** |
Frequency of traveling outside the city | 0.339 ** | 0.207 ** | 0.315 ** | 0.331 ** |
Frequency of oversea travels | 0.403 ** | 0.263 ** | 0.391 ** | 0.367 ** |
Variable | Total Score | Chinese | Math | English |
---|---|---|---|---|
Region | 77.886 *** (0.522) p = 0.000 | 10.315 *** (0.336) p = 0.000 | 36.628 *** (0.501) p = 0.000 | 30.943 *** (0.484) p = 0.000 |
Grade | −0.323 (−0.004) p = 0.878 | 3.321 *** (0.184) p = 0.000 | −5.617 *** (−0.131) p = 0.000 | 1.973 ** (0.053) p = 0.038 |
Gender | −4.717 (−0.033) p = 0.191 | 3.250 *** (0.109) p = 0.001 | −11.963 *** (−0.168) p = 0.000 | 3.996 ** (0.064) p = 0.014 |
Mother’s education | 4.834 ** (0.117) p = 0.029 | 0.417 (0.049) p = 0.472 | 2.454 ** (0.122) p = 0.030 | 1.963 ** (0.111) p = 0.049 |
Personal talent | 3.640 *** (0.090) p = 0.002 | 0.771 ** (0.093) p = 0.013 | 1.391 ** (0.070) p = 0.021 | 1.477 *** (0.085) p = 0.006 |
Frequency of visits to science museums | 5.303 * (0.082) p = 0.050 | 1.084 (0.082) p = 0.127 | 1.226 (0.039) p = 0.375 | 2.992 ** (0.108) p = 0.014 |
Frequency of traveling outside the city | −4.687 ** (−0.074) p = 0.020 | −1.044 ** (−0.080) p = 0.048 | −1.983 * (−0.064) p = 0.053 | −1.660 * (−0.061) p = 0.067 |
R2 | 0.573 | 0.305 | 0.538 | 0.526 |
Adjusted R2 | 0.565 | 0.293 | 0.529 | 0.518 |
ΔR2 | 0.034 | 0.031 | 0.024 | 0.032 |
F | 72.966 | 23.907 | 63.221 | 60.376 |
ΔF | 6.661 | 3.796 | 4.307 | 5.661 |
Beijing | Shandong | |||||||
---|---|---|---|---|---|---|---|---|
Variable | Total Score | Chinese | Math | English | Total Score | Chinese | Math | English |
Grade | −4.084 (−0.095) p = 0.117 | 1.871 ** (0.135) p = 0.025 | −5.900 *** (−0.235) p = 0.000 | −0.055 (−0.004) p = 0.954 | −0.291 (−0.004) p = 0.924 | 3.821 *** (0.223) p = 0.000 | −6.372 *** (−0.180) p = 0.000 | 2.247 (0.069) p = 0.119 |
Gender | −5.204 (−0.071) p = 0.258 | 3.288 ** (0.138) p = 0.026 | −9.016 *** (−0.209) p = 0.001 | 0.524 (0.019) p = 0.757 | −2.346 (−0.021) p = 0.648 | 3.840 *** (0.139) p = 0.002 | −13.162 *** (−0.231) p = 0.000 | 6.991 *** (0.132) p = 0.004 |
Family income | 0.726 (0.014) p = 0.825 | −1.204 (−0.071) p = 0.254 | 1.023 (0.033) p = 0.579 | 0.907 (0.047) p = 0.453 | 1.509 (0.030) p = 0.534 | −0.224 (−0.018) p = 0.704 | 0.502 (0.020) p = 0.676 | 1.303 (0.056) p = 0.259 |
Number of children in family | −2.272 (−0.030) p = 0.630 | −0.241 (−0.010) p = 0.873 | −2.491 (−0.056) p = 0.347 | 0.460 (0.016) p = 0.791 | 6.390 * (0.076) p = 0.095 | 0.804 (0.039) p = 0.389 | 3.829 ** (0.090) p = 0.043 | 1.748 (0.044) p = 0.334 |
Father’s education | 4.333* (0.121) p = 0.091 | 0.907 (0.079) p = 0.269 | 2.341 (0.112) p = 0.103 | 1.085 (0.083) p = 0.249 | 1.199 (0.023) p = 0.726 | −0.245 (−0.019) p = 0.769 | 0.832 (0.031) p = 0.623 | 0.617 (0.025) p = 0.703 |
Mother’s education | −1.715 (−0.047) p = 0.519 | −0.560 (−0.048) p = 0.512 | −0.870 (−0.041) p = 0.560 | −0.285 (−0.022) p = 0.771 | 9.121 *** (0.178) p = 0.006 | 0.917 (0.073) p = 0.252 | 5.101 *** (0.196) p = 0.002 | 2.992 * (0.124) p = 0.056 |
Personal talent | 1.206 (0.060) p = 0.361 | 0.364 (0.056) p = 0.390 | 0.578 (0.049) p = 0.435 | 0.264 (0.036) p = 0.587 | 6.724 *** (0.183) p = 0.000 | 1.343 ** (0.136) p = 0.033 | 2.373 ** (0.127) p = 0.010 | 2.996 *** (0.173) p = 0.001 |
Frequency of museum/art gallery visits | 2.272 (0.071) p = 0.397 | −0.484 (−0.047) p = 0.574 | 1.872 (0.100) p = 0.214 | 0.884 (0.076) p = 0.371 | 4.410 (0.068) p = 0.286 | 2.158 *** (0.148) p = 0.003 | 0.407 (0.012) p = 0.842 | 1.766 (0.058) p = 0.368 |
Frequency of visits to science museums | 1.898 (0.054) p = 0.513 | 0.570 (0.050) p = 0.540 | 0.501 (0.024 p = 0.758 | 0.826 (0.064) p = 0.439 | 8.030 * (0.120) p = 0.067 | 1.191 (0.072) p = 0.265 | 2.146 (0.063) p = 0.322 | 4.485 ** (0.142) p = 0.033 |
Frequency of traveling outside the city | −1.366 (−0.036) p = 0.608 | 0.192 (0.016) p = 0.822 | 0.105 (0.005) p = 0.944 | −1.664 * (−0.119) p = 0.091 | −7.828 *** (−0.150) p = 0.005 | −1.981 *** (−0.155) p = 0.004 | −3.303** (−0.125) p = 0.017 | −2.480 * (−0.101) p = 0.061 |
R2 | 0.042 | 0.051 | 0.120 | 0.033 | 0.137 | 0.151 | 0.184 | 0.131 |
Adjusted R2 | −0.002 | 0.008 | 0.080 | −0.012 | 0.113 | 0.127 | 0.162 | 0.104 |
ΔR2 | 0.026 | 0.014 | 0.023 | 0.030 | 0.118 | 0.076 | 0.081 | 0.096 |
F | 0.964 | 1.174 | 2.976 | 0.734 | 5.672 | 6.342 | 8.073 | 4.964 |
ΔF | 0.868 | 0.469 | 0.832 | 0.964 | 7.042 | 4.629 | 5.099 | 5.105 |
Males | Females | |||||||
---|---|---|---|---|---|---|---|---|
Variable | Total Score | Chinese | Math | English | Total Score | Chinese | Math | English |
Grade | 0.583 (0.007) p = 0.848 | 2.221 *** (0.124) p = 0.006 | −3.776 ** (−0.097) p = 0.011 | 2.139 (0.057) p = 0.127 | −1.777 (−0.020) p = 0.543 | 4.522 *** (0.252) p = 0.000 | −8.112 *** (−0.175) p = 0.000 | 1.812 (0.049) p = 0.161 |
Region | 76.575 *** (0.496) p = 0.000 | 8.464 *** (0.262) p = 0.002 | 32.280 *** (0.457) p = 0.000 | 35.831 *** (0.525) p = 0.000 | 89.093 *** (0.618) p = 0.000 | 15.147 *** (0.530) p = 0.000 | 45.268 *** (0.613) p = 0.000 | 28.678 *** (0.485) p = 0.000 |
Number of children in family | 6.838 (0.065) p = 0.180 | −0.069 (−0.003) p = 0.959 | 4.207 * (0.088) p = 0.088 | 2.700 (0.058) p = 0.249 | 2.013 (0.025) p = 0.578 | 1.030 (0.064) p = 0.273 | 0.527 (0.013) p = 0.787 | 0.456 (0.014) p = 0.775 |
Father’s education | 1.826 (0.041) p = 0.609 | −0.146 (−0.016) p = 0.876 | 1.607 (0.079) p = 0.352 | 0.365 (0.019) p = 0.824 | 5.041 * (0.119) p = 0.070 | 1.106 (0.131) p = 0.126 | 1.982 (0.091) p = 0.186 | 1.953 (0.112) p = 0.112 |
Personal talent | 4.101 ** (0.104) p = 0.014 | 1.033 ** (0.124) p = 0.018 | 1.634 ** (0.090) p = 0.042 | 1.434 * (0.082) p = 0.060 | 3.181 * (0.077) p = 0.074 | 0.571 (0.069) p = 0.215 | 0.622 (0.029) p = 0.515 | 1.987 ** (0.116) p = 0.012 |
Frequency of visits to science museums | 9.689 ** (0.155) p = 0.023 | 1.603 (0.122) p = 0.152 | 3.492 * (0.122) p = 0.090 | 4.594 ** (0.166) p = 0.019 | −1.381 (−0.021) p = 0.702 | −0.455 (−0.034) p = 0.627 | −1.602 (−0.047) p = 0.410 | 0.676 (0.025) p = 0.672 |
Frequency of traveling outside the city | −8.677 *** (−0.140) p = 0.004 | −1.839 ** (−0.142) p = 0.020 | −3.677 ** (−0.130) p = 0.012 | −3.160 ** (−0.116) p = 0.022 | −0.223 (−0.003) p = 0.934 | −0.401 (−0.031) p = 0.568 | −0.016 (0.000) p = 0.991 | 0.194 (0.007) p = 0.871 |
R2 | 0.551 | 0.296 | 0.497 | 0.514 | 0.616 | 0.344 | 0.576 | 0.556 |
Adjusted R2 | 0.535 | 0.271 | 0.480 | 0.497 | 0.603 | 0.321 | 0.561 | 0.541 |
ΔR2 | 0.065 | 0.072 | 0.055 | 0.048 | 0.017 | 0.014 | 0.011 | 0.027 |
F | 35.026 | 11.977 | 28.232 | 30.145 | 46.733 | 15.249 | 39.455 | 36.462 |
ΔF | 5.925 | 4.216 | 4.526 | 4.037 | 1.911 | 0.928 | 1.123 | 2.586 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Jin, H.; Ma, X.; Jiao, S. Cultural Capital and Its Impact on Academic Achievement: Sustainable Development of Chinese High School Students. Sustainability 2022, 14, 14976. https://doi.org/10.3390/su142214976
Jin H, Ma X, Jiao S. Cultural Capital and Its Impact on Academic Achievement: Sustainable Development of Chinese High School Students. Sustainability. 2022; 14(22):14976. https://doi.org/10.3390/su142214976
Chicago/Turabian StyleJin, Hui, Xu Ma, and Shi Jiao. 2022. "Cultural Capital and Its Impact on Academic Achievement: Sustainable Development of Chinese High School Students" Sustainability 14, no. 22: 14976. https://doi.org/10.3390/su142214976
APA StyleJin, H., Ma, X., & Jiao, S. (2022). Cultural Capital and Its Impact on Academic Achievement: Sustainable Development of Chinese High School Students. Sustainability, 14(22), 14976. https://doi.org/10.3390/su142214976