Citation	Study Type	Sample Size	Data Analysis or Analyses
Hamadani et al. (2010)	Longitudinal	801	Correlations, frequency distributions, regression (covariates: age, household assets, education)
Jaggy et al. (2023)	Randomized, experimental, pre-test–post-test design	211	Descriptives, correlations, Latent Neighbour Change Model
Jaruchainiwat et al. (2024)	Pre-test–post-test quasi-experimental design	50	T-tests
Lehman (2014)	Cross-sectional	148	MANCOVA, multiple ANOVA, regressions (covariates: disability, age, gender, income)
Liddell and Masilela (1992)	Cross-sectional, observational	Not reported	ANOVA
Lloyd and Howe (2003)	Cross-sectional	72	Frequencies, partial correlations, T-tests (partial corrections controlling for age, sex)
Luo (2023)	Cross-sectional, observational	1642	Correlation and regression (structural equation modelling) (covariates: gender, age, family income)
Lysyuk (1998)	Cross-sectional (grouped by age)	166	Chi-Square, frequencies
Maker et al. (2023)	Cross-sectional, observational	917	Percentages
Malone et al. (1994)	Cross-sectional, randomized	22	Correlational analysis
Masek et al. (2024)	Cross-sectional, within-subjects	42	Logistic regression (covariates: parent age, parent education, toddler age, toddler gender)
McCabe et al. (1996)	Study a and b: Cross-sectional within subjects	Study a: 24 Study b: 24	Study a and a: Multivariate repeated measures ANOVA (MANOVA)
McCabe et al. (1999)	Randomized, quasi-controlled	24	MANOVA
Morgante (2013)	Cross-sectional (dyads by gender)	36	Repeated measures ANOVA
Morrissey (2014)	Non-randomized, longitudinal	21	Frequencies, group comparison across sessions
O’Connor and Stagnitti (2011)	Quasi-experimental design	35	Non-parametric tests, ANCOVA (covariates: baseline age)
Pepler and Ross (1981)	Study a and b: Cross-sectional, experimental	Study a: 64 Study b: 72	Study a and b: Frequencies, ANOVA (covariates: age, sex)
Rogers (1984)	Cross-sectional, grouped by age	49	Pearson Correlation Coefficients
Saracho (1992)	Cross-sectional (over three months)	300	MANOVA (covariates: cognitive style, sex, age)
Thepsuthammarat et al. (2012)	Cross-sectional	4116	Multiple linear regression (covariates: parent factors were age, education, marital status, and income; child factors were sex, weight, height, gestational age, birth weight, breastfed, hospital admission, mother’s attachment, family size, number of siblings, iodine consumption, and life events)
Tizard et al. (1976)	Cross-sectional	109	Correlational, percentages
Tomopoulos et al. (2006)	Longitudinal cohort study	73	Pearson correlations, multiple linear regressions
Trawick-Smith (1990)	Cross-sectional, observational	32	Regression (covariates: sex, age)
Vieillevoye and Nader-Grosbois (2008)	Quasi-controlled experiment	80	Correlations, cluster analysis, multiple regressions (covariate: mental age)
Wolfgang and Stakenas (1985)	Cross-sectional	30	Regression (covariates: age, SES, sex)