itt_for_kling: Basic Kling Model Function

In skirmer/skpack: Personal package of functions I use regularly.

Description

This function computes the kling regressions for dividing the effect size of two different years of treatment. Your block variable must be factor, and your dataset must omit records with a missing outcome or a missing treatment assignment.

Usage

itt_for_kling(outcome, participation1, participation2, grouping, sizefile,
  weight, number_to_crop, sourcefile, weight_final, omit_type)

Arguments

number_to_crop

should equal the number of grouping categories you have. It's for selecting the interactions only out of the model.

Examples

School Level MTO
itt_for_kling(outcome = "mathxil_z_post2", participation1 = "treat_post1_single", participation2 = "treat_post2",
grouping = "schlid", sizefile = schoolsizes, weight = "mtoweight_calculation", number_to_crop = 12,
sourcefile = master_dataset_1_math15_no2531, weight_final = "stderr_scores_weight", "omits")

# Block level MTO
itt_for_kling(outcome = "mathxil_z_post2", participation1 = "treat_post1_single", participation2 = "treat_post2",
grouping = "blocknum", sizefile = blocksizes, weight = "mtoweight_calculation", number_to_crop = 42,
sourcefile = master_dataset_1_math15_no2531, weight_final = "stderr_scores_weight", "omits")

skirmer/skpack documentation built on May 30, 2019, 1:06 a.m.