Bayesian Statistics in Psychological Research
Abstract
Keywords
References
Abdelkader, M. (2020, April 25). Bayesian linear regression. Retrieved March 4, 2021, from https://modelingwithr.rbind.io/bayes/Bayesian-linear-regression/
Altman, N., & Krzywinski, M. (2017). Interpreting P values. Nature Methods, 14, 213-214. https://doi.org/10.1038/nmeth.4210
Andrews, M., & Baguley, T. (2013). Prior approval: the growth of Bayesian methods in psychology. British Journal of Mathematical and Statistical Psychology, 66(1), 1-7. https://doi.org/10.1111/bmsp.12004
Az Zahra, S., & Caninsti, R. (2017). Hubungan antara kepuasaan pernikahan dengan spiritualitas pada istri bekerja yang berada dalam tahap pernikahan Families With School Children. Jurnal Psikogenesis, 4(2), 215-223. https://doi.org/10.24854/jps.v4i2.351
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. SPINE, 25(24), 3186-3191. https://doi.org/10.1097/00007632-200012150-00014
Becker, C., Kirchmaier, I., & Trautmann, S. T. (2019). Marriage, parenthood and social network: Subjective well-being and mental health in old age. PLOS ONE, 14(7), e0218704. https://doi.org/10.1371/journal.pone.0218704
Bolstad, W. M., & Curran, J. M. (2017). Introductions to Bayesian statistics (3rd ed.). Hoboken, New Jersey: John Wiley & Sons, Inc. https://doi.org/10.1002/9781118593165
Buaton, R., & Astuti, S. (2014). Perancangan sistem pakar tes kepribadian dengan menggunakan metode Bayes. METHODA, 4(1), 1-16.
Bürkner, P. C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80, 1-28.
Chen, M., & Shao, Q. (1999). Monte Carlo estimation of Bayesian credible and HPD intervals. Journal of Computation and Graphical Statistics, 8(1), 69-92. https://doi.org/10.2307/1390921
Demšar, J., Repovš, G., & Štrumbelj, E. (2020). bayes4psy—An open source R package for Bayesian statistics in psychology. Frontiers in Psychology, 11, 947. https://doi.org/10.3389/fpsyg.2020.00947
Depaoli, S., Clifton, J. P., & Cobb, P. R. (2016). Just Another Gibbs Sampler (JAGS): Flexible software for MCMC implementation. Journal of Educational and Behavioral Statistics, 41(6), 628-649. https://doi.org/10.3102/1076998616664876
Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction With Life Scale. Journal of Personality Assessments, 49(1), 71-75.
Dienes, Z. (2011). Bayesian versus orthodox statistics: Which side are you on? Perspectives on Psychological Science, 6, 274-290.
Ekström, R. J., Lunn, D., Jackson, C., Best, N., & Thomas, A. (2013). The BUGS Book: A practical introduction to Bayesian analysis. New York: CRC Press.
Etz, A., & Vandekerckhove, J. (2018). Introduction to Bayesian inference for psychology. Psychonomic Bulletin and Review, 25, 5-34. https://doi.org/10.3758/s13423-017-1262-3
Gabry, J., & Modrák, M. (2021, January 11). Visual MCMC diagnostics using the bayesplot package. Retrieved March 4, 2021, from https://mc-stan.org/bayesplot/articles/visual-mcmc-diagnostics.html
Gelman, A., & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statistical Science, 7, 457-472.
Gelman, A., Lee, D., & Guo, J. (2015). Stan: A probabilistic programming language for Bayesian inference and optimization. Journal of Educational and Behavioral Statistics, 40(5), 530-543. https://doi.org/10.3102/1076998615606113
Head, M. L., Holman, L., Lanfear, R., Kahn, A. T., & Jennions, M. D. (2015). The extent and consequences of p-hacking in science. PLoS Biology, 13(3), e1002106. https://doi.org/10.1371/journal.pbio.1002106
Johnson, H. A., Zabriskie, R. B., & Hill, B. (2006). The contributions of couple leisure involvement, leisure time, and leisure satisfaction to marital satisfaction. Marriage & Family Review, 40(1), 69-91. https://doi.org/10.1300/J002v40n01_05
Johnson, M. D., Cohan, C. L., Davila, J., Lawrence, E., Rogge, R. D., Karney, B. R., . . . Bradbury, T. N. (2005). Problem-solving skills and affective expressions as predictors of change in marital satisfaction. Journal of Consulting and Clinical Psychology, 73(1), 15-27. https://doi.org/10.1037/0022-006X.73.1.15
Kim, A., Lee, J. A., & Park, H. S. (2018). Health behaviors and illness according to marital status in middle-aged Koreans. Journal of Public Health, 40(2), e99-e106. https://doi.org/10.1093/pubmed/fdx071
Krawczyk, M. (2015). The search for significance: A few peculiarities in the distribution of p values in experimental psychology literature. PLoS ONE, e0127872. https://doi.org/10.1371/journal.pone.0127872
Kruschke, J. K. (2014). Doing Bayesian data analysis: A tutorial with R, JAGS, and Stan. New York, NY: Academic Press.
Law, J. (2019, June 14). Bayesian statistics and functional programming: Bayesian linear regression with Gibbs sampling in R. Retrieved March 4, 2021, from https://jonnylaw.rocks/posts/2019-06-14-Bayesian-linear-regression/
Lunn, D., Thomas, A., Best, N., & Spiegelhalter, D. (2000). WinBUGS — a Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing, 10, 325-337.
Makowski, D., Ben-Shachar, M. S., & Lüdecke, D. (2019). bayestestR: Describing effects and their uncertainty, existence and significance within the Bayesian framework. Journal of Open Source Software, 4(40), 1541. https://doi.org/10.21105/joss.01541
Marsman, M., & Wagenmakers, E.-J. (2017). Bayesian benefits with JASP. European Journal of Developmental Psychology, 14(5), 545-555. https://doi.org/10.1080/17405629.2016.1259614
Nurmansyah, W., & Hartati, S. (2013). Prototipe sistem pakar penentu jenis gangguan psikologi klinis menggunakan Forward Chaining dan Formula Bayes. Berkala MIPA, 23(2), 149-160.
Otero, M. C., Wells, J. L., Chen, K.-H., Brown, C. L., Connelly, D. E., Levenson, R. W., & Fredrickson, B. L. (2020). Behavioral indices of positivity resonance associated with long-term marital satisfaction. Emotion, 20(7), 1225-1233. https://doi.org/10.1037/emo0000634
Penny, W. D., Mattout, J., & Trujillo-Barreto, N. (2007). CHAPTER 35-Bayesian model selection and averaging. In K. Friston, J. Ashburner, S. Kiebel, T. Nichols, & W. Penny (Eds.). Academic Press. https://doi.org/10.1016/B978-012372560-8/50035-8
Plummer, M., Best, N., Cowles, K., & Vines, K. (2006). CODA: Convergence Diagnosis and Output Analysis for MCMC. R News, 6(1), 7-11.
Rouder, J. N., Speckman, P. L., Sun, D., Morey, R. D., & Iverson, G. (2009). Bayesian t tests for accepting and rejecting the null hypothesis. Psychonomic Bulletin & Review, 16(2), 225-237. https://doi.org/10.3758/PBR.16.2.225
Sorokowski, P., Randall, A., Groyecka, A., Frackowiak, T., Cantarero, K., Hilpert, P., . . . Sorokowska, A. (2017). Marital satisfaction, sex, age, marriage duration, religion, number of children, economic status, education, and collectivistic values: Data from 33 countries. Frontiers in Psychology, 8, 1199. https://doi.org/10.3389/fpsyg.2017.01199
St. John, P. C., Strutz, J., Broadbelt, L. J., Tyo, K. E., & Bomble, Y. J. (2019). Bayesian inference of metabolic kinetics from genome-scale multiomics data. PLOS Computational Biology, 15(11), e1007424. https://doi.org/10.1371/journal.pcbi.1007424
Sturtz, S., Ligges, U., & Gelman, A. (2005). R2WinBUGS: A package for running WinBUGS from R. Journal of Statistical Software, 12(3), 1-16.
Surijah, E. A., & Prakasa, D. Y. (2020). Kepuasan pernikahan dan bias harapan sosial. Jurnal Ilmiah Psikologi MIND SET, 11(01), 14-25. https://doi.org/10.35814/mindset.v11i01.1269
Van de Schoot, R. (2015). Latent trajectory studies: The basics, how to interpret the results, and what to report. European Journal of Psychotraumatology, 6, 27514. http://dx.doi.org/10.3402/ejpt.v6.27514
van de Schoot, R. D., Kramer, B., Märtens, K., Tadesse, M. G., Vannucci, M., Gelman, A., . . . Yau, C. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers, 1, 1. https://doi.org/10.1038/s43586-020-00001-2
van de Schoot, R., & Miočević, M. (Eds.). (2020). Small sample size solutions: A guide for applied researchers and practitioners (1 ed.). Routledge. https://doi.org/10.4324/9780429273872
van de Schoot, R., Winter, S. D., Ryan, O., Zondervan-Zwijnenburg, M., & Depaoli, S. (2017). A systematic review of Bayesian articles in psychology: The last 25 years. Psychological Methods, 22(2), 217-239. http://dx.doi.org/10.1037/met0000100
van Ravenzwaaij, D., Cassey, P., & Brown, S. (2018). A simple introduction to Markov Chain Monte–Carlo sampling. Psychonomic Bulletin and Review, 25, 143-154. https://doi.org/10.3758/s13423-016-1015-8
Wagenmakers, E. J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., . . . Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25, 35-57. https://doi.org/10.3758/s13423-017-1343-3
Watson, D., Clark, L. A., & Carey, G. (1988). Positive and negative affectivity and their relation to anxiety and depressive disorders. Journal of Abnormal Psychology, 97(3), 346-353. https://doi.org/10.1037/0021-843X.97.3.346
Yau, C. (n.d.). Bayesian inference using OpenBUGS. Retrieved March 4, 2021, from R Tutorial: http://www.r-tutor.com/Bayesian-statistics/openbugs
Zevon, M. A., & Tellegen, A. (1982). The structure of mood change: An idiographic/nomothetic analysis. Journal of Personality and Social Psychology, 43, 111-122.
DOI: 10.15408/jp3i.v10i2.20185
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Edwin Adrianta Surijah
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.