This Hurdle_README_20180601.txt file was generated on 20180601 by John F. Hurdle Links to Publication Field updated 20211209 TK ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset/Code: SAS Code to Calculate GPQI-2016 Total and Component Scores 2. Author Information Principal Investigator Contact Information Name: John F. Hurdle, MD, PhD Institution: Dept. of Biomedical Informatics, University of Utah Address: 421 Wakara Way, Ste. 140 Salt Lake City, UT 84108 Email: john.hurdle@utah.edu Associate or Co-investigator Contact Information Name: Patricia M. Guenther, PhD, RD Institution: Dept. of Nutrition and Integrative Physiology Address: 250 South 1850 East Salt Lake City, UT 84112 Email: patricia.guenther@utah.edu Alternate Contact Information Name: N.A. Institution: Address: Email: 3. Date of data collection (single date, range, approximate date): 2018 4. Geographic location of data collection (where was data collected?): University of Utah 5. Information about funding sources that supported the collection/creation of the data/code: USDA National Institute of Food and Agriculture Award No. 2015-67001-24290, Multi-Disciplinary Methods for Effective, Sustainable, and Scalable Evaluations of Nutrition Education Programs -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data/code: © 2018 Philip J. Brewster, John F. Hurdle and Patricia M. Guenther This code is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 2. Links to publications that cite or use the data/code: Brewster PB, Durward CM, Hurdle JF, Guenther PM. The Grocery Purchase Quality Index-2016 performs similarly to the Healthy Eating Index-2015 in a national survey of household food purchases. Journal of the Academy of Nutrition and Dietetics. https://doi.org/10.1016/j.jand.2018.08.165 Brewster, Philip J., Patricia M.Guenther, Kristine C.Jordan, John F.Hurdle. The Grocery Purchase Quality Index-2016: An innovative approach to assessing grocery food purchases. Journal of Food Composition and Analysis. https://doi.org/10.1016/j.jfca.2017.07.012 3. Links to other publicly accessible locations of the data/code: N.A. 4. Links/relationships to ancillary data sets: N.A. 5. Was data derived from another source? No If yes, list source(s): 6. Recommended citation for the data/code: Brewster PJ, Hurdle JF, and Guenther PM. 2018. SAS Code to Calculate GPQI-2016 Total and Component Scores. Version 1.0 [computer program]. [URL goes here.] --------------------- DATA & FILE OVERVIEW --------------------- 1. File List: A. Filename: 20180601 README for SAS code to calculate GPQI.txt Short description: An introduction, license, and instructions for using the code B. Filename: 20180601 GPQI_2016 SAS code.txt Short description: The purpose, developer, contact, and license information followed by the code to run the Grocery Purchase Quality Index-2016. C. Filename: Short description: 2. Relationship between files: File A is a README file for the code in File B. 3. Additional related data collected that was not included in the current data package: N.A. 4. Are there multiple versions of the dataset/code? No, not yet but it may be updated in the future. If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for generation of the data/code: see Brewster et al., 2017, Journal of Food Composition and Analysis 64(1):119-126. 2. Methods for processing the data: N.A. 3. Instrument- or software-specific information needed to interpret the data: N.A. 4. Standards and calibration information, if appropriate: N.A. 5. Environmental/experimental conditions: N.A. 6. Describe any quality-assurance procedures performed on the data: N.A. 7. People involved with collection, processing, analysis and/or submission: This code was written by Philip J. Brewster with assistance from John F. Hurdle and Patricia M. Guenther. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: NA ----------------------------------------- 1. Number of variables: N.A. 2. Number of cases/rows: N.A. 3. Variable List: N.A. A. Name: [variable name] Description: [description of the variable] Value labels if appropriate B. Name: [variable name] Description: [description of the variable] Value labels if appropriate 4. Missing data codes: N.A. Code/symbol Definition Code/symbol Definition 5. Specialized formats of other abbreviations used: N.A.