assess_range_of_bias |
Assess the range of possible bias based on specified assumptions about how nonrespondents differ from respondents |
calculate_response_rates |
Calculate Response Rates |
chisq_test_ind_response |
Test the independence of survey response and auxiliary variables |
chisq_test_vs_external_estimate |
Test of differences in survey percentages relative to external estimates |
get_cumulative_estimates |
Calculate cumulative estimates of a mean/proportion |
involvement_survey_pop |
Parent involvement survey: population data |
involvement_survey_srs |
Parent involvement survey: simple random sample |
involvement_survey_str2s |
Parent involvement survey: stratified, two-stage sample |
predict_outcome_via_glm |
Fit a regression model to predict survey outcomes |
predict_response_status_via_glm |
Fit a logistic regression model to predict response to the survey. |
rake_to_benchmarks |
Re-weight data to match population benchmarks, using raking or post-stratification |
stepwise_model_selection |
Select and fit a model using stepwise regression |
t_test_by_response_status |
t-test of differences in means/percentages between responding sample and full sample, or between responding sample and eligible sample |
t_test_of_weight_adjustment |
t-test of differences in estimated means/percentages from two different sets of replicate weights. |
t_test_resp_vs_elig |
t-test of differences in means/percentages between responding sample and full sample, or between responding sample and eligible sample |
t_test_resp_vs_full |
t-test of differences in means/percentages between responding sample and full sample, or between responding sample and eligible sample |
t_test_vs_external_estimate |
t-test of differences in means/percentages relative to external estimates |
wt_class_adjust |
Adjust weights in a replicate design for nonresponse or unknown eligibility status, using weighting classes |