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Cluster-robust standard errors and hypothesis tests in panel data models1 years ago
Effects of changing the minimum legal drinking age | Unweighted OLS | Unweighted "within" estimation | Population-weighted estimation | Random effects estimation | Robust Hausman test | References
clubSandwich 0.7.0.9000James E. Pustejovskypanel-data-CRVE.Rmd
Basic effect sizes calculations using SingleCaseES2 years ago
Individual effect size functions | Inputting data | Using the A_data, B_data inputs | Using the condition, outcome inputs | Direction of improvement | Standard error and confidence intervals | Other non-overlap indices | Further options for SMD() | Further options for log response ratios (LRRi() and LRRd()) | Outcome scale | Additional arguments | Further options for LOR() | calc_ES() | Further arguments | Long vs. wide format | batch_calc_ES() | Data organization | McKissick | Schmidt (2007) | Main arguments of batch_calc_ES() | Using grouping variables | Aggregating across replications | Dealing with outcome scales. | Output format | Suppressing warnings | Arguments to individual effect size functions | Order of observations | Specifying a baseline phase | Confidence levels | References
SingleCaseES 0.7.4Daniel M. Swan, James E. Pustejovsky, and Paulina GrekovUsing-SingleCaseES.Rmd
Effect size definitions and mathematical details3 years ago
Notation | Non-overlap measures | NAP | Estimation | Standard errors | Confidence interval | PND | PEM | PAND | IRD | Tau | Confidence intervals | Tau-U | Tau-BC | Standard errors and confidence intervals | Parametric effect sizes | SMD | Baseline SD | Pooled SD | LRR | LRR-decreasing and LRR-increasing | LOR | LRM | PoGO | References
SingleCaseES 0.7.4James E. Pustejovsky, Daniel M. Swan, and Man ChenEffect-size-definitions.Rmd
Estimating design-comparable standardized mean differences with scdhlm4 years ago
Lambert, Cartledge, Heward, & Lo (2006) | Anglesea, Hoch, & Taylor (2008) | Saddler, Behforooz, & Asaro (2008) | Laski, Charlop, & Schreibman (1988) | Schutte, Malouff, & Brown (2008) | Varying intercepts, fixed treatment effect, fixed trends | Varying intercepts, fixed treatment effect, varying trends | Varying intercepts, varying trends, varying treatment-by-time interactions | References
scdhlm 0.7.4.9999James E. PustejovskyEstimating-effect-sizes.Rmd
Meta-analysis with cluster-robust variance estimation4 years ago
robumeta model | metafor model | References
clubSandwich 0.7.0.9000James E. Pustejovskymeta-analysis-with-CRVE.Rmd
Wald tests of multiple-constraint null hypotheses4 years ago
The Wald test function | Testing treatment effects | constrain_zero() | constrain_equal() | Testing an interaction | Lists of constraints | Pairwise t-tests | Remark | References
clubSandwich 0.7.0.9000James E. PustejovskyWald-tests-in-clubSandwich.Rmd
Information matrices for fitted lme() and gls() models6 years ago
Notation | Hierarchical linear models | Estimation | Fixed effect estimation | Variance parameter estimation | Sampling variance of variance parameters | Restricted maximum likelihood | Full maximum likelihood | References
lmeInfo 0.3.2Man Chen Information-matrices-for-fitted-LME-models.Rmd
Direct observation recording: Algorithms used in ARPobservation7 years ago
Simulating the behavior stream | Generating distributions | Initial conditions | Direct observation recording procedures | Event counting | Continuous recording | Momentary time sampling | Partial interval recording | Whole interval recording
ARPobservation 1.2.2James E. PustejovskyObservation-algorithms.Rmd