Family Environment and Learning Motivation Through MABA: Predicting Elementary Students’ Communication Skills
Abstract
This study aims to examine whether family environment and learning motivation measured within a MABA (Majalah Bahasa Indonesia)-supported learning context are associated with fourth-grade students’ communication skills in Indonesian language learning. Using a quantitative, non-experimental, cross-sectional ex-post facto design, the study involved the entire Grade 4 cohort at SD Negeri 1 Krangganharjo, Central Java (n = 12), selected through saturated sampling. Family environment and MABA-context motivation were measured using structured questionnaires, while communication skills were assessed separately; the data were analyzed using exploratory multiple linear regression with 95% confidence intervals and model-fit statistics. The results showed that family environment was positively associated with communication skills (B = 0.170, 95% CI [0.021, 0.319], β = .540, p = .030), as was MABA-context learning motivation (B = 0.348, 95% CI [0.063, 0.633], β = .578, p = .023). The overall model was statistically significant, F(2, 9) = 6.817, p = .016, explaining 60.2% of the observed variance (R² = .602; adjusted R² = .514). These findings provide preliminary support for the view that home learning conditions and motivational engagement may function as complementary correlates of communication performance. However, the very small single-school sample, cross-sectional design, possible construct overlap, and incomplete psychometric evidence limit causal and population-level inference. Future studies should replicate the model with larger, diverse samples and validated, clearly differentiated measures.
References
Adam, P., Droop, M., Kleemans, T., & Segers, E. (2025). Parental language and literacy and not the home literacy environment predict language and early literacy in Indonesian low SES kindergartners. Reading & Writing Quarterly, 41(6), 461–478. https://doi.org/10.1080/10573569.2025.2469241
Anderson, S. F. (2021). Using prior information to plan appropriately powered regression studies: A tutorial using BUCSS. Psychological Methods, 26(5), 513–526. https://doi.org/10.1037/met0000366
Anggraini, R. F. (2026). Analisis kemampuan berkomunikasi lisan siswa sekolah dasar dalam pembelajaran Bahasa Indonesia. Pendas: Jurnal Ilmiah Pendidikan Dasar, 11(2), 278–289. https://doi.org/10.23969/jp.v11i02.54475
Arens, A. K., & Möller, J. (2025). The importance of intrinsic reading motivation goes beyond the reading domain: Relations to school performance and motivation in the language domain. Journal of Research in Reading, 48(3), 220–239. https://doi.org/10.1111/1467-9817.70005
Bai, Z., Qi, T., Zhang, Y., Gao, D., Geng, X., Liu, Y., & Liu, L. (2025). Home literacy environment, literacy interest and emergent literacy in China: A person-oriented approach. Current Psychology, 44, 6155–6169. https://doi.org/10.1007/s12144-025-07634-0
Baumgartner, H., Weijters, B., & Pieters, R. (2021). The biasing effect of common method variance: Some clarifications. Journal of the Academy of Marketing Science, 49(2), 221–235. https://doi.org/10.1007/s11747-020-00766-8
Bronfenbrenner, U., & Morris, P. A. (2006). The bioecological model of human development. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Vol. 1. Theoretical models of human development (6th ed., pp. 793–828). Wiley. https://doi.org/10.1002/9780470147658.chpsy0114
Colognesi, S., Coppe, T., & Lucchini, S. (2023). Improving the oral language skills of elementary school students through video-recorded performances. Teaching and Teacher Education, 128, Article 104141. https://doi.org/10.1016/j.tate.2023.104141
Coventry, W. L., Farraway, S., Larsen, S. A., Enis, T. P., Forbes, A. Q., & Brown, S. L. (2023). Do student differences in reading enjoyment relate to achievement when using the random-intercept cross-lagged panel model across primary and secondary school? PLOS ONE, 18(6), Article e0285739. https://doi.org/10.1371/journal.pone.0285739
de Bondt, M., Willenberg, I. A., & Bus, A. G. (2020). Do book giveaway programs promote the home literacy environment and children’s literacy-related behavior and skills? Review of Educational Research, 90(3), 349–375. https://doi.org/10.3102/0034654320922140
De Smedt, F., Rogiers, A., Heirweg, S., Merchie, E., & Van Keer, H. (2020). Assessing and mapping reading and writing motivation in third to eight graders: A self-determination theory perspective. Frontiers in Psychology, 11, Article 1678. https://doi.org/10.3389/fpsyg.2020.01678
Dong, Y., & Chow, B. W.-Y. (2022). Home literacy environment and English as a second language acquisition: A meta-analysis. Language Learning and Development, 18(4), 485–499. https://doi.org/10.1080/15475441.2021.2003197
Dowdall, N., Melendez-Torres, G. J., Murray, L., Gardner, F., Hartford, L., & Cooper, P. J. (2020). Shared picture book reading interventions for child language development: A systematic review and meta-analysis. Child Development, 91(2), e383–e399. https://doi.org/10.1111/cdev.13225
Emilda, T., & Susanti, D. (2026). Testing the mediating role of student engagement: Self-efficacy, learning motivation, and examination performance in Indonesian vocational high schools. JPI: Jurnal Pustaka Indonesia, 6(2), 471–493. https://doi.org/10.62159/jpi.v6i2.2713
Engler, L., & Westphal, A. (2024). Teacher autonomy support counters declining trend in intrinsic reading motivation across secondary school. European Journal of Psychology of Education, 39(4), 4047–4065. https://doi.org/10.1007/s10212-024-00842-5
Esmaeeli, S. (2024). A model of the home literacy environment and family risk of reading difficulty in relation to children’s preschool emergent literacy. Journal of Learning Disabilities, 57(3), 181–196. https://doi.org/10.1177/00222194231195623
Flake, J. K., & Fried, E. I. (2020). Measurement schmeasurement: Questionable measurement practices and how to avoid them. Advances in Methods and Practices in Psychological Science, 3(4), 456–465. https://doi.org/10.1177/2515245920952393
Flora, D. B. (2020). Your coefficient alpha is probably wrong, but which coefficient omega is right? A tutorial on using R to obtain better reliability estimates. Advances in Methods and Practices in Psychological Science, 3(4), 484–501. https://doi.org/10.1177/2515245920951747
Furenes, M. I., Kucirkova, N., & Bus, A. G. (2021). A comparison of children’s reading on paper versus screen: A meta-analysis. Review of Educational Research, 91(4), 483–517. https://doi.org/10.3102/0034654321998074
Grolig, L. (2020). Shared storybook reading and oral language development: A bioecological perspective. Frontiers in Psychology, 11, Article 1818. https://doi.org/10.3389/fpsyg.2020.01818
Ha, C., & Roehrig, A. D. (2022). Contribution of children’s reading motivation and prosocial efficacy to reading growth. Learning and Individual Differences, 97, Article 102163. https://doi.org/10.1016/j.lindif.2022.102163
Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But…. Communication Methods and Measures, 14(1), 1–24. https://doi.org/10.1080/19312458.2020.1718629
Hidayah, N., & Sodikin, S. (2026). Explainable AI, academic confidence, and decision-making quality in physics learning. Digital Learning, Social Science, and Life-course Studies, 2(1), 28–45. https://doi.org/10.70211/disolife.v2i1.777
Jang, E., Seo, Y. S., & Brutt-Griffler, J. (2023). Building academic resilience in literacy: Digital reading practices and motivational and cognitive engagement. Reading Research Quarterly, 58(1), 160–176. https://doi.org/10.1002/rrq.486
Knief, U., & Forstmeier, W. (2021). Violating the normality assumption may be the lesser of two evils. Behavior Research Methods, 53(6), 2576–2590. https://doi.org/10.3758/s13428-021-01587-5
Lakens, D. (2021). The practical alternative to the p value is the correctly used p value. Perspectives on Psychological Science, 16(3), 639–648. https://doi.org/10.1177/1745691620958012
Lakens, D. (2022). Sample size justification. Collabra: Psychology, 8(1), Article 33267. https://doi.org/10.1525/collabra.33267
Lee, J., & Moussa, W. (2024). The role of home environments in children’s literacy skills in Ghana: Parents, siblings, and books. International Journal of Educational Development, 107, Article 103037. https://doi.org/10.1016/j.ijedudev.2024.103037
Li, H., Lam, S. M., Zhang, X., & Bao, M. (2024). Home literacy environments and Chinese preschool children’s literacy trajectories: Examining the unique contributions of fathers versus mothers. Learning and Individual Differences, 113, Article 102489. https://doi.org/10.1016/j.lindif.2024.102489
Li, L., Zhang, J., & Li, Y. (2026). From family socioeconomic status to vocabulary: The mediating roles of traditional and digital home literacy environment in Chinese preschoolers. Early Childhood Research Quarterly, 76, 367–377. https://doi.org/10.1016/j.ecresq.2026.04.008
Maier, M., & Lakens, D. (2022). Justify your alpha: A primer on two practical approaches. Advances in Methods and Practices in Psychological Science, 5(2). https://doi.org/10.1177/25152459221080396
McNeish, D. (2022). Limitations of the sum-and-alpha approach to measurement in behavioral research. Policy Insights from the Behavioral and Brain Sciences, 9(2), 196–203. https://doi.org/10.1177/23727322221117144
Miyamoto, A., Murayama, K., & Lechner, C. M. (2020). The developmental trajectory of intrinsic reading motivation: Measurement invariance, group variations, and implications for reading proficiency. Contemporary Educational Psychology, 63, Article 101921. https://doi.org/10.1016/j.cedpsych.2020.101921
Nag, S., Vagh, S. B., Dulay, K. M., Snowling, M., Donolato, E., & Melby-Lervåg, M. (2024). Home learning environments and children’s language and literacy skills: A meta-analytic review of studies conducted in low- and middle-income countries. Psychological Bulletin, 150(2), 132–153. https://doi.org/10.1037/bul0000417
Rokhman, R., Diana, N., Etek, Y., Koderi, K., & Sufian, M. (2024). The development of a scientific-based academic supervision management model. AL-ISHLAH: Jurnal Pendidikan, 16(2), 1383–1398. https://doi.org/10.35445/alishlah.v16i2.4626
Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14. https://doi.org/10.1177/1094428120968614
Rosellini, A. J., & Brown, T. A. (2021). Developing and validating clinical questionnaires. Annual Review of Clinical Psychology, 17, 55–81. https://doi.org/10.1146/annurev-clinpsy-081219-115343
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, Article 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
Schiefele, U., Stutz, F., & Schaffner, E. (2016). Longitudinal relations between reading motivation and reading comprehension in the early elementary grades. Learning and Individual Differences, 51, 49–58. https://doi.org/10.1016/j.lindif.2016.08.031
Sénéchal, M., & LeFevre, J.-A. (2014). Continuity and change in the home literacy environment as predictors of growth in vocabulary and reading. Child Development, 85(4), 1552–1568. https://doi.org/10.1111/cdev.12222
Shimada, D., & Katahira, K. (2023). Sequential dependencies of responses in a questionnaire survey and their effects on the reliability and validity of measurement. Behavior Research Methods, 55, 3241–3259. https://doi.org/10.3758/s13428-022-01943-z
Sijtsma, K., & Pfadt, J. M. (2021). Part II: On the use, the misuse, and the very limited usefulness of Cronbach’s alpha: Discussing lower bounds and correlated errors. Psychometrika, 86, 843–860. https://doi.org/10.1007/s11336-021-09789-8
Silverman, R. D., Johnson, E. M., Keane, K., & Khanna, S. (2020). Beyond decoding: A meta-analysis of the effects of language comprehension interventions on K–5 students’ language and literacy outcomes. Reading Research Quarterly, 55(S1), S207–S233. https://doi.org/10.1002/rrq.346
Stutz, F., Schaffner, E., & Schiefele, U. (2016). Relations among reading motivation, reading amount, and reading comprehension in the early elementary grades. Learning and Individual Differences, 45, 101–113. https://doi.org/10.1016/j.lindif.2015.11.022
Sundqvist, A., Majerle, N., Heimann, M., & Koch, F.-S. (2024). Home literacy environment, digital media and vocabulary development in preschool children. Journal of Early Childhood Research, 22(4), 570–583. https://doi.org/10.1177/1476718X241257337
Suwidiyanti, Mumthaza, S., Auladi, B. R., & Musrifah, A. (2026). Safe Exam Browser (SEB) in digital examinations: Supporting students’ academic integrity in secondary education. Digital Learning, Social Science, and Life-course Studies, 2(1), 14–27. https://doi.org/10.70211/disolife.v2i1.736
Tegmark, M., Alatalo, T., Vinterek, M., & Winberg, M. (2022). What motivates students to read at school? Student views on reading practices in middle and lower-secondary school. Journal of Research in Reading, 45(1), 100–118. https://doi.org/10.1111/1467-9817.12386
Toste, J. R., Didion, L., Peng, P., Filderman, M. J., & McClelland, A. M. (2020). A meta-analytic review of the relations between motivation and reading achievement for K–12 students. Review of Educational Research, 90(3), 420–456. https://doi.org/10.3102/0034654320919352
Vaknin-Nusbaum, V. (2023). Reading motivation, well-being and reading achievement in second grade students. Journal of Research in Reading, 46(1), 64–85. https://doi.org/10.1111/1467-9817.12414
von Suchodoletz, A., Leyva, D., Ren, L., Li, Y., Zhang, Z., Yu, D., & Ng, F. F.-Y. (2025). How Chinese grandmothers and mothers share books with toddlers and relations with toddlers’ verbal contributions. Developmental Psychology. Advance online publication. https://doi.org/10.1037/dev0001997
Wang, X., & Cheng, Z. (2020). Cross-sectional studies: Strengths, weaknesses, and recommendations. Chest, 158(1S), S65–S71. https://doi.org/10.1016/j.chest.2020.03.012
Wirth, A., Ehmig, S. C., & Niklas, F. (2022). The role of the home literacy environment for children’s linguistic and socioemotional competencies development in the early years. Social Development, 31(2), 372–387. https://doi.org/10.1111/sode.12550
Yuan, H., Kleemans, T., & Segers, E. (2024). The role of the traditional and digital home literacy environment in Chinese kindergartners’ language and early literacy. Early Childhood Research Quarterly, 67, 67–77. https://doi.org/10.1016/j.ecresq.2023.11.009
Zhang, Q., Morshedi, G., & Jiang, K. (2025). The effect of home literacy environment on preschool children’s learning dispositions. European Early Childhood Education Research Journal, 33(6), 1028–1045. https://doi.org/10.1080/1350293X.2024.2446920
Zhang, S. Z., Inoue, T., & Georgiou, G. K. (2024). Is there a genetic confound in the relation of home literacy environment with children’s reading skills? A familial control method approach. Reading Research Quarterly, 59(3), 408–423. https://doi.org/10.1002/rrq.553
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