MOON Data File Components

Slides:



Advertisements
Similar presentations
Multiple Indicator Cluster Surveys Data Entry and Processing.
Advertisements

MICS Data Processing Workshop Overview. Data Processing Design Data processing is organized around clusters There is one set of data files for each cluster.
MICS4 Data Processing Workshop Multiple Indicator Cluster Surveys Data Processing Workshop Overview of Data Processing System.
Forthcoming events in MICS3 MICS3 Data Analysis and Report Writing Workshop.
Maintaining data quality: fundamental steps
Preventing and Resolving Reporting Errors Using Monitor Data Checking Software (MDC) Louis Nichols Clean Air Markets Division.
Automating Result Verification
1 QUANTITATIVE DESIGN AND ANALYSIS MARK 2048 Instructor: Armand Gervais
Child Count To check Child Count, run the Pre Cut-Off Student Roster by Teacher (Reports ->Special Education Data -> Student Data -> Pre.
July 2014 Submission Presented by: Jill Budny Phone: New Special Ed Data
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
Documentation Tools in the Survey Lifecycle. Outline What is NSFG Webdoc? Instrument documentation != Survey documentation Data Cleaning/Processing in.
Data Management: Documentation & Metadata Types of Documentation.
Quantifying Data.
MELISSA PICO SUMMER 08 Data Storage & Retrieval: Access instead of Excel.
Learning Objective Chapter 13 Data Processing, Basic Data Analysis, and Statistical Testing of Differences CHAPTER thirteen Data Processing, Basic Data.
Survey Methodology Survey data entry/cleaning EPID 626 Lecture 10.
Cms 2 YE Closing+ tm Preparation & Closing Job Cost.
Farm Household Surveys DATABASE ORGANISATION AND DATA CLEANING Glwadys Aymone GBETIBOUO C4ECOSOLUTIONS, CAPE TOWN Economics analyses of climate change.
STAT 3130 Statistical Methods II Missing Data and Imputation.
Year End Processing Financial Management 1Freedom Systems - Year End Processing Webinar WELCOME TO THE YEAR END PROCESSING WEBINAR WE WILL BE WITH YOU.
Chapter Sixteen Starting the Data Analysis Angel Gillis & Winston Jackson Research for Nurses: Research for Nurses: Methods and Interpretation.
Coding for Excel Analysis Optional Exercise Map Your Hazards! Module, Unit 2 Map Your Hazards! Combining Natural Hazards with Societal Issues.
Performance Measures 101 Presenter: Peggy Ketterer, RN, BSN, CHCA Executive Director, EQRO Services Health Services Advisory Group June 18, :15 p.m.–4:45.
MAIL MERGE Designing Documents with. Terms Mail Merge: A process that inserts variable information into a standardized document to produce a personalized.
Copyright 2010, The World Bank Group. All Rights Reserved. Data Processing and Tabulation, Part I.
Research Methodology Lecture No : 21 Data Preparation and Data Entry.
King Fahd University of Petroleum & Minerals Department of Management and Marketing MKT 345 Marketing Research Dr. Alhassan G. Abdul-Muhmin Editing and.
Grant Brown.  AIDS patients – compliance with treatment  Binary response – complied or no  Attempt to find factors associated with better compliance.
Data File Structure and Content Joe Larson 5 / 6 / 09.
Become an EDExpress Direct Loan Release 2.0 Super User! Bob Berry Doug Baldwin Session 24.
DATA PREPARATION: PROCESSING & MANAGEMENT Lu Ann Aday, Ph.D. The University of Texas School of Public Health.
Chapter Fifteen Chapter 15.
RESEARCH METHODS Lecture 29. DATA ANALYSIS Data Analysis Data processing and analysis is part of research design – decisions already made. During analysis.
Dr. Michael R. Hyman, NMSU Data Preparation. 2 File, Record, and Field.
Data Verification and Validation
0 / Database Management. 1 / Identify file maintenance techniques Discuss the terms character, field, record, and table Describe characteristics.
1 PEER Session 02/04/15. 2  Multiple good data management software options exist – quantitative (e.g., SPSS), qualitative (e.g, atlas.ti), mixed (e.g.,
Public Libraries Survey Data File Overview. What We’ll Talk About PLS: Public Libraries Survey State level data Public library data (Administrative Entities)
Data Processing, Fundamental Data Analysis, and the Statistical Testing of Differences Chapter Twelve.
Coding Preparing The Research for Data Entry. Coding (defined) Coding is the process of converting questionnaire responses into a form that a computer.
Student Financial Assistance. Session 21-2 Session 21 Quality Analysis Tool: The Sharpest Tool in the Shed.
How Good is Your SDTM Data? Perspectives from JumpStart Mary Doi, M.D., M.S. Office of Computational Science Office of Translational Sciences Center for.
Research Documentation Betty Wilson, CIP, MS Senior Compliance Manager MU IRB Lori Wilcox, EdD Director of Academic Compliance, Corporate Compliance.
Input, Output and Processing.. What data needs to be input into the system? Identify the sources – i.e. where does the data come from? What is the volume.
Data Entry, Coding & Cleaning SPSS Training Thomas Joshua, MS July, 2008.
Saving Everyone’s Time and Energy: Practical Tips for Database Design Cynthia Wilson Garvan PhD Statistics, MA Mathematics College of Nursing
DU REDCap Introduction
Data quality & VALIDATION
Y.-H. Chen International College Ming-Chuan University Fall, 2004
CHAPTER 13 Data Processing, Basic Data Analysis, and the Statistical Testing Of Differences Copyright © 2000 by John Wiley & Sons, Inc.
Greg Steffens Noumena Solutions
CMIP5 Questionnaire Roadmap – beta
MIS 322 – Enterprise Business Process Analysis
Dale Rhoda & Mary Kay Trimner Stata Conference 2018
Basic Marketing Research Customer Insights and Managerial Action
2018 NM Community Survey Data Entry Training
Validation and Quality Assessment of Data
SQL for Cleaning Data Farrokh Alemi, Ph.D.
Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine
Web Usage in a Business Panel Survey
Database Design Hacettepe University
Use of PROC TABULATE Out File to Customize Tables
Data Management – Processing
Generic Statistical Business Process-Censuses
Data Processing, Basic Data Analysis, and the
Data Preparation (Click icon for audio) Dr. Michael R. Hyman, NMSU.
PA430 - Data coding March 7/8, 2000.
By A.Arul Xavier Department of mathematics
Discrepancy Management
Presentation transcript:

MOON Data File Components Personal Information Entry Evaluation – Kler Patient Questionnaire Physical Exam Multi-Dimensional Health Assessment Patient Knee Injury Questionnaire (R474) Operative Information

Preliminary Cleaning Tasks Required for Each MOON Data Component Converted each MS Access table to SAS using Proc Import: PROC IMPORT OUT = EVAL1 DATATABLE = "moon_evaluation_entry" DBMS = ACCESS2000 REPLACE; DATABASE = "H:\Projects\Sports Medicine\11-17-03.MDB"; RUN;

Specific Component Issues Skip patterns Missing, blank, zero, 9, 99, 999..... Not collected? Not entered when it should be? Entered when it shouldn't be? Entered but wrong value? Out of range values Innappropriate values in/out of skip patterns Valid SSNs

Recoding Independent vs. Dependent Variables Independent – variables that are not part of a skip pattern. Dependent – variables that are part of a skip pattern (dependent on the lead variable).

Finalizing File Components Q/A programs were run on each component to flag errors. Changes were hard-coded into the Q/A program. Q/A programs were re-run to assure all errors had been resolved.

Final File Component Q/A Frequencies and/or cross-tabs were run on every variable in each file component. All values were hand-checked to verify range validity of file elements compared to Data Dictionary.

Files Merged into One All files merged by SSN, Surgery Date, and Knee(L or R). Problematic Not all files had Surgery Date and/or Knee. Certain files were pre-merged. SSNs had been hand-entered and had numerous mistakes across file components. A renamed SSN was placed on each component. All components merged by SSN. Renamed SSN printed from each component. Hand-checked to spot errors - majority ruled.

Final File Creation Kept only unilateral ACLs for analysis file. Any individuals not meeting the criteria defined internally as unilateral ACL reconstruction were dropped. IF ACL_RECON ≠ 1; /*Form 5* From Kler and physical exams there were multiple variables which had to be used in combination to indicate non-unilateral ACL.

Final File 2002 MOON file consists of 479 subjects who had unilateral ACL reconstructive surgery. Available in beta release pending final changes.