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Wang, W.-C., Pina, M. de F. A. de., Pestana, M. H. de A. P. e. & Liu, Y.-T. (2026). Integrating ANOVA and logistic regression for treatment comparison: A methodological illustration with simulated data. International Journal of Management Studies and Social Science Research, 8(4), 371?382. https://doi.org/10.56293/IJMSSSR.2026.6326

WanChen-Wang et al.,  "Integrating ANOVA and logistic regression for treatment comparison: A methodological illustration with simulated data", in Int. Journal of Management Studies and Social Science Research, vol. 8, no. 4, pp. 371-382, 2026

@article{wanchen-wang2026_1790104501235,
	author = "Wang, W.-C. and Pina, M. de F. A. de. and Pestana, M. H. de A. P. e. and Liu, Y.-T.",
	title = "Integrating ANOVA and logistic regression for treatment comparison: A methodological illustration with simulated data",
	journal = "International Journal of Management Studies and Social Science Research",
	year = "2026",
	volume = "8",
	number = "4",
	doi = "10.56293/IJMSSSR.2026.6326",
	pages = "371-382",
	url = "http://www.ijmsssr.org"
}

TY  - JOUR
TI  - Integrating ANOVA and logistic regression for treatment comparison: A methodological illustration with simulated data
T2  - International Journal of Management Studies and Social Science Research
VL  - 8
IS  - 4
AU  - Wang, W.-C.
AU  - Pina, M. de F. A. de.
AU  - Pestana, M. H. de A. P. e.
AU  - Liu, Y.-T.
PY  - 2026
SP  - 371-382
SN  - 2582-0265
DO  - 10.56293/IJMSSSR.2026.6326
UR  - http://www.ijmsssr.org
AB  - Anxiety disorders impair daily functioning and well-being. CBT and MBCT are established treatments whose comparative effectiveness is often examined through a single analytic lens. This didactic study uses simulated data (N = 60; CBT n = 30; MBCT n = 30) to illustrate complementary statistical approaches to between-group differences in post-treatment anxiety, assessed by the Beck Anxiety Inventory (BAI). One-way ANOVA indicated a strong group effect, F(1, 58) = 24.8, p = 6.07×10⁻⁶, Cohen’s d = 1.29, with MBCT showing lower anxiety (M = 18.5, SD = 4.9) than CBT (M = 25.0, SD = 5.2). Binary logistic regression showed each one-point BAI increase was associated with 23% lower odds of MBCT membership (OR = 0.77), with good discrimination (AUC = 0.819) and 76.7% accuracy. These analyses demonstrate that significance testing, effect-size estimation, and classification performance answer complementary questions. Data are fully simulated; findings are not intended for clinical generalization.
ER  -