RESEARCH AND DEVELOPMENT SURVEY (RANDS) DURING COVID-19 ROUND 1 NON-PROBABILITY SAMPLE PUBLIC USE DATA RELEASE WARNING! DATA USE RESTRICTIONS Read Carefully Before Using NCHS Public Use Survey Data The National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), conducts statistical and epidemiological activities under the authority granted by the Public Health Service Act (42 U.S.C. § 242k). NCHS survey data are protected by Federal confidentiality laws including Section 308(d) Public Health Service Act [42 U.S.C. 242m(d)] and the Confidential Information Protection and Statistical Efficiency Act or CIPSEA [Pub. L. No. 115-435, 132 Stat. 5529 § 302]. These confidentiality laws state the data collected by NCHS may be used only for statistical reporting and analysis. Any effort to determine the identity of individuals and establishments violates the assurances of confidentiality provided by federal law. Terms and Conditions NCHS does all it can to assure that the identity of individuals and establishments cannot be disclosed. All direct identifiers, as well as any characteristics that might lead to identification, are omitted from the dataset. Any intentional identification or disclosure of an individual or establishment violates the assurances of confidentiality given to the providers of the information. Therefore, users will: 1. Use the data in this dataset for statistical reporting and analysis only. 2. Make no attempt to learn the identity of any person or establishment included in these data. 3. Not link this dataset with individually identifiable data from other NCHS or non-NCHS datasets. 4. Not engage in any efforts to assess disclosure methodologies applied to protect individuals and establishments or any research on methods of re-identification of individuals and establishments. By using these data you signify your agreement to comply with the above-stated statutorily based requirements. Sanctions for Violating NCHS Data Use Agreement Willfully disclosing any information that could identify a person or establishment in any manner to a person or agency not entitled to receive it, shall be guilty of a class E felony and imprisoned for not more than 5 years, or fined not more than $250,000, or both. INTRODUCTION The Research and Development Survey (RANDS) is a series of cross-sectional surveys from probability-sampled commercial survey panels. As part of a special iteration of RANDS that focuses on COVID-19, RANDS during COVID-19 Round 1 is the first round of a three-round survey. In addition to the probability sample in RANDS during COVID-19 Round 1, the questionnaire was administered to the Dynata non-probability online opt-in sample by NORC at the University of Chicago (NORC) from June 9, 2020 to June 30, 2020. The RANDS during COVID-19 Round 1 Non-Probability Sample does not have a known survey sampling design and cannot be used to produce nationally or sub-nationally representative estimates. RANDS DURING COVID-19 ROUND 1 NON-PROBABILITY SAMPLE FILES AND DOCUMENTATION The files listed below comprise the Research and Development Survey (RANDS) during COVID-19 Round 1 Non-Probability Sample public use data release. File Name File Description Format RANDS_COVID_1_np.csv Data file CSV RANDS_COVID_1_np.txt Data file TXT RANDS_COVID_1_np_codebook.pdf Codebook PDF RANDS_COVID_1_np_questionnaire.pdf Questionnaire PDF RANDS_COVID_1_np_technical_documentation.pdf Survey documentation PDF SAS, R, STATA AND SPSS INPUT STATEMENTS A sample SAS input statement program is provided for the data file. File Name File Description Format RANDS_COVID_1_np_read.sas SAS program TXT RANDS_COVID_1_np_formats.sas SAS program TXT Alternatively, the CSV data file can be loaded directly into different environments such as SAS, R, Stata, SPSS, etc. Steps on how to do this are shown below. SAS: SAS can read CSV files directly with the import procedure (PROC IMPORT) that is part of Base SAS. The command to read the CSV data file to a dataset called RANDS is: proc import datafile="C:\RANDS\RANDS_COVID_1_np.csv" out= RANDS dbms=csv replace; getnames=YES; run; R: R can read data from CSV files using the user interface or by the read.csv() function. The command to read the CSV data file into a data frame called RANDS is: RANDS=read.csv("C:/RANDS/RANDS_COVID_1_np.csv", header=TRUE) Stata: Stata can import CSV data files using the Graphical User Interface (Select File-> Import->Text data created by a spreadsheet, type in the path to the file and choose comma-delimited as the delimiter). The corresponding command to read the CSV data file in Stata is: insheet using "C:\RANDS\RANDS_COVID_1_np.csv", comma clear SPSS: SPSS can import CSV data using the text input wizard. In the text input wizard, indicate that the file is delimited and that variable names are included in the top of the file. CAUTION The RANDS data file may contain some observations with extreme values that are likely implausible. These extreme values may represent errors in data entry. Researchers should determine how to handle these types of values when utilizing the RANDS data. The RANDS during COVID-19 Round 1 Non-Probability Sample does not have a known survey sampling design and cannot be used to produce nationally or sub-nationally representative estimates. STATEMENT OF AUTHENTICITY This material has been cleared for public distribution by CDC/ATSDR and will be authentic if obtained directly from the National Center for Health Statistics (NCHS). CDC/ATSDR makes all effort to assure the authenticity of electronically distributed documents. However, in all instances where the electronic and official agency record differ, the authenticity of the official agency record is controlling.