% 95 per cent ci 95 per cent confidence interval 95 percent confidence interval 95% ci 95% confidence interval := "=" anova as-if randomisation average causal effect average component marginal effect average treatment effect bayesian best model binomial binomial regression bootstrap bootstrapped bootstrapping causal model Chi square Chi squared Chi-square Chi-squared clustered errors clustered standard errors coefficient coefficients cohen's d compiled by the author compiled by the authors confidence interval confidence measure confounder confounders conjoint experiment control group control unit control variable control variables correlation coefficient covariate balance covariates cumulative mean cumulative sum Data and Methodology data and methods data collection data methods dependent variable diff-in-diff diff-in-diffs difference-in-difference difference-in-differences dv Entropy balancing estimation strategy estimator explanatory variable factor analysis f statistic f-statistic fixed effects frequency generalised linear model generalised linear models geocomputation geocomputational analysis geospatial geospatial analysis glm glmm glmms glms h1 h2 h3 h4 h5 heteroskedasticity hesteroskedastic hierarchical model histogram hypothesis test identification strategy independent variable instrumental variable intercept interest variable J-test J test kurtosis linear model linear models linear regression log logit logit estimation main variable main variables manova marginal effect marginal effects maximum likelihood mean frequency mean number mean score measurement error median min missing data mixed effects model fit model performance model weights multi-level model multilevel model multinomial multivariate analyses multivariate analysis n = n ¼ n= natural experiment natural log negative binomial new dataset non-linear model non-parametric regression nonlinear model nonparametric regression novel data novel data-set novel dataset n¼ obs. ols operationalisation operationalise operationalization operationalization strategy operationalize operationsalisation strategy ordinal ordinary least squares original data original data set original data-set original database original dataset outcome variable parameter estimate parameters percentage point estimate poisson polity iv posterior probabilit power analysis predicted probabilit predictor preregister preregistered preregistration probit probit analysis quasi-experimental R r ¼ r2 r= random sample randomized control trial regression regression discontinuity regression model regression models representative sample residuals response variable robustness robustness check r¼ sample size simulation skewness slopes upward spatial analysis SSD standard clustered errors standard deviation standard errors stata statistical power statistical significance statistically significant std. dev. Student t test Student t tests Student t-test Student t-tests subsamples sum curve sum plot survey experiment t model t test t-test time series time series data treated unit treatment assignment treatment effect treatment variable variable vignette experiment weights x-axis x-y y-axis z axis zero-altered zero-truncated ± χ2 ≈ ≤ ≥ quadratic polynomial p < 0.001 p < 0.01 p < 0.05 p value p-value p<0.001 p<0.01 p<0.05 p< p < p < p> p > p > p¼ p ¼ p ¼ * ** ***