This is STATA software code for analysis on publicly available NHANES data

Data and stata code for a research article .

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Dataset and Stata code

The syntax code has the purpose of assessing interrater reliability for various variables based on a random 10% sample from all survey programs encoded in the dataset SDCCP 1 - Survey Design and Data Quality During the Covid-19 Pandemic (doi:https://doi.org/10.7802/2652).

Stata “do-file” containing the code used to run the analyses in the manuscript using the data from “S1 Dataset.”

Dataset

This dataset was created by iFinance Tutor

Contents

This repository contains datasets and analysis code accompanying the paper "An Empirical Evaluation of Chinese College Admissions Reforms Through A Natural Experiment" by Chen, Jiang, and Kesten. The datasets contain the college admission data for a county in China's Sichuan Province for year 2008 and 2009. These include students' submitted rank-ordered lists of colleges and admission results. All variables are recoded to remove any identifiable information (including college and high school code). The analysis code can be used to replicate the tables and figures in the paper.

Dataset

This dataset was created by Maxim Oschepkov

Contents

This document links the STATA 18 data (dta data files) and STATA 18 codes (do files) with the tables and figures in the paper.

Here you find Stata code, which is used for the development and validation of measurement instruments (questionnaires, tests, items, scales) for the social sciences. The description of the analyses carried out with the code can be found in the appendices A1 to A5 of the ZIS Publication Guide. Each code includes comments to guide users through the code. We provide the data set “example1” to run the code.

We provide:
Code for testing the dimensionality of scales comprises exploratory factor analysis, principal component analysis, and confirmatory factor analysis (tau-congeneric and tau-equivalent). For the description of the analyses, see appendices A1 to A2 of the ZIS Publication Guide.
Code used to estimate reliability comprises the estimation of split-half reliability, retest reliability, reliability coefficients for single-factor models (Cronbach’s Alpha, McDonald’s Omega/Raykov’s Rho, AVE [Average Variance Extracted]), and bi-factor models (Omega-H, ECV [Explained Common Variance]). For the description of the analyses, see appendix A3 of the ZIS Publication Guide.
Code for measurement invariance testing within SEM. For the description of the analyses see appendix A5 of the ZIS Publication Guide.

Using a two-armed cluster randomised controlled trial, CHARM2 (Counselling Husbands to Achieve Reproductive health and Marital equity), a 5-session gender equity and family planning intervention for couples in rural India, showed an impact on family planning outcomes in primary trial analyses. This study examines its effects on gender-equitable attitudes, intimate partner violence, reproductive coercion, and marital quality. We used multilevel mixed-effects models to assess the intervention impact on each outcome. Both male (aIRR at 9 months: 0.64, C.I.: 0.45,0.90; aIRR at 18 months: 0.25, C.I.: 0.18,0.39) and female (aIRR at 9 months: 0.57, C.I.: 0.46,0.71; aIRR at 18 months: 0.38, C.I.: 0.23,0.61) intervention participants were less likely than corresponding control participants to endorse attitudes accepting physical IPV at 9- and 18-month follow-ups. Men in the intervention, compared to those in the control condition, reported more gender-equitable attitudes at 9- and 18 months (ß at 9 months: 0.13, C.I.: 0.06,0.20; ß at 18 months: 0.26, C.I.: 0.19,0.34) and higher marital quality at the 18-month follow-up (ß: 0.03, C.I.: 0.01,0.05). However, we found no effects on women’s experiences of IPV, reproductive coercion, or marital quality. CHARM2 shows promise in improving men’s and women’s attitudes towards gender equality and male perceptions of marital quality. Still, IPV and reproductive coercion reductions may require more intensive programming than that provided within this 5-session model focused on family planning.

This is Stata code to conduct APIM analyses using NSCH datasets. Non-weighted, weighted, and sex-specific code is provided.

This dataset and code archive accompanies the paper "Gambling on Crypto Tokens?" by Chava, Hu, and Paradkar (2024), forthcoming in the Journal of Financial and Quantitative Analysis. It includes:

CSV files containing the raw and processed data used in the analysis

Stata DO files with clearly documented code replicating the regression results from the study

In-code descriptions and comments outlining variable definitions and linking specific code segments to published tables and figures

The study explores speculative trading behaviors and financial patterns in cryptocurrency markets, drawing parallels with gambling activities. This resource enables full replication and supports further research on digital finance and market psychology.

Subjects: Business and Management; Social Sciences License: Creative Commons CC0 1.0 Universal (Public Domain Dedication) DOI: https://doi.org/10.7910/DVN/HC97UC

This is a dataset underlying article "Relational Work and Its Pitfalls: Nonprofits’ Participation in Government-Sponsored Voluntary Accreditation" published by Journal of Public Administration Research and Theory

This is Stata Code written by Eleanor Brindle to calculate Spearman Correlations and Frequency analysis for this publication.

Stata Codes for Quantitative Analysis

State analysis code for GEE Model

Stata code for Diagnosing Expertise: Decision Making and Performance Among Physicians', forthcoming in Journal of Labor Economics, January 2017.

Here is the programme used to produce the analyses and graphs for the "Cross-sectional and longitudinal associations of obesity with disability between age 50 and 90 in the SHARE study" paper. This programme includes STATA v17 codes.