Answer keys for Assignment 16: Principles of data collection

Similar documents
WHO STEPS Surveillance Support Materials. STEPS Epi Info Training Guide

The NIH Collaboratory Distributed Research Network: A Privacy Protecting Method for Sharing Research Data Sets

Harmonizing the data collection and data entry applications for longitudinal and cross-sectional surveys in social science: A metadata driven approach

WHO STEPS Surveillance Support Materials. Mapping and Transforming Your Materials to Use the Generic STEPS Tools

Preparing for Data Analysis

HANDWRITTEN FORMS WILL NOT BE ACCEPTED APPLICATION MUST BE SINGLE SIDED DO NOT STAPLE. Directions for Completion of the IRB Application Form

CPRD Aurum Frequently asked questions (FAQs)

Acknowledgments. Acronyms

CTT: CAI Testing Tool

CPRD Aurum Frequently asked questions (FAQs)

Product Catalog. AcaStat. Software

Preparing for Data Analysis

Ebola Monitoring Tutorial November 2014

PSS weighted analysis macro- user guide

Green Data Center. Approach. Sybrand de Vries Aernoud van de Graaff IBM Corporation

Data Partnerships to Improve Health Frequently Asked Questions. Glossary...9

Auditing in an Automated Environment: Appendix E: System Design, Development, and Maintenance

The Six Principles of BW Data Validation

Pooling Clinical Data: Key points and Pitfalls. October 16, 2012 Phuse 2012 conference, Budapest Florence Buchheit

A Blaise Editing System at Westat. Rick Dulaney, Westat Boris Allan, Westat

Information backup - diagnostic review Abertawe Bro Morgannwg University Health Board. Issued: September 2013 Document reference: 495A2013

Blaise Questionnaire Text Editor (Qtxt)

Evaluation studies: From controlled to natural settings

Using PROC PLAN for Randomization Assignments

When the template is complete, the whole Project Initiation Document can be printed and approved.

Description of changes to SAVE LIVES: Clean Your Hands tools

Center for Surveillance, Epidemiology, and Laboratory Services Division of Health Informatics and Surveillance

Guidance for the format and content of the final study report of non-interventional post-authorisation safety studies

ABSTRACT. Keywords: User Satisfaction, User Participation, User Understanding

High Value Reports in HCT Status Update Feb 2016

Newborn Screening Technical assistance and Evaluation Program (NewSTEPs)

Chapter 17: INTERNATIONAL DATA PRODUCTS

CHAPTER 6 DATABASE MANAGEMENT SYSTEMS

NuStar Logistics, L.P.

Business Intelligence Roadmap HDT923 Three Days

BSIT 1 Technology Skills: Apply current technical tools and methodologies to solve problems.

Product Development for Medical, Life Sciences, and Consumer Health

REDCap Randomization Module

Security Governance and Management Scorecard

Human Research Ethics Application (HREA) Getting Started Guide 7 February 2017 Version 2.0

A step by step Guide to Searching the Cochrane database

Data 100. Lecture 5: Data Cleaning & Exploratory Data Analysis

MICS DATA PROCESSING WORKSHOP Dedeman Hotel, Istanbul, Turkey 4-14 May, 2015 AGENDA

REPORT 2015/149 INTERNAL AUDIT DIVISION

Maximizing Statistical Interactions Part II: Database Issues Provided by: The Biostatistics Collaboration Center (BCC) at Northwestern University

EBA 2017 EU wide transparency exercise dataset

Strengthening Surveillance: The TB Surveillance Checklist of Standards and Benchmarks Rationale and Development

Safety-enhanced Design EDIS 2014 R (a)(1) Computerized Provider Order Entry

Introduction to SURE

Assuring Certainty through Effective Regression Testing. Vishvesh Arumugam

Creating and Checking the PIRLS International Database

Management Information Systems Review Questions. Chapter 6 Foundations of Business Intelligence: Databases and Information Management

Data Basics for Research.

Administration Manual 1

Dataverse Usability Evaluation: Findings & Recommendations. Presented by Eric Gibbs Lin Lin Elizabeth Quigley

Ivy s Business Analytics Foundation Certification Details (Module I + II+ III + IV + V)

Introduction to Data Science

Usability evaluation in practice: the OHIM Case Study

Morningstar Advisor Workstation SM Quick Start Guide

Data Entry, Processing and Management

Sampling Error Estimation SORS practice

Evaluating Classifiers

Splitting the follow-up C&H 6

SPSS TRAINING SPSS VIEWS

Needs Assessment for a Web-Based IT Platform to Support the WHO Global Antimicrobial Resistance Surveillance System GLASS

AcaStat User Manual. Version 10 for Mac and Windows. Copyright 2018, AcaStat Software. All rights Reserved.

STEP 6 RAPID REVIEW REPORT GUIDE

WKU-MIS-B10 Data Management: Warehousing, Analyzing, Mining, and Visualization. Management Information Systems

Data Quality Assessment Tool for health and social care. October 2018

StatCalc User Manual. Version 9 for Mac and Windows. Copyright 2018, AcaStat Software. All rights Reserved.

IJESRT. (I2OR), Publication Impact Factor: (ISRA), Impact Factor: 2.114

Alignment matrix of unit standard

As a reference, please find a version of the Machine Learning Process described in the diagram below.

CHAPTER 7 CONCLUSION AND FUTURE WORK

Internal Audit Report DATA CENTER LOGICAL SECURITY

VivoSense. User Manual Batch Processing. VivoSense, Inc. Newport Beach, CA, USA Tel. (858) , Fax. (248)

New IT solutions for item list management and data validation. 4 th Inter-Agency Coordinating Group Meeting October 23-25, 2017 Washington, DC

SVM in Analysis of Cross-Sectional Epidemiological Data Dmitriy Fradkin. April 4, 2005 Dmitriy Fradkin, Rutgers University Page 1

Scenario Implementation as the R SubtypeDiscovery Package

Business Analysis for Practitioners - Requirements Elicitation and Analysis (Domain 3)

Advisor Workstation Quick Start Guide

ITIL 2011 Foundation Course

Data 100 Lecture 5: Data Cleaning & Exploratory Data Analysis

WITH MODIFICATIONS ), S, PHONE NUMBERS OR OTHER FORMS, PLEASE VISIT THE IRB S WEBSITE AT:

Managing Data Resources

Part A. EpiData Entry

Sparta Systems TrackWise Digital Solution

Standard Operating Procedure Title: Guideline for the Validation of Excel Spreadsheets

Facilities Master Plan Toronto Public Library Board Consultation

An Interactive GUI Front-End for a Credit Scoring Modeling System by Jeffrey Morrison, Futian Shi, and Timothy Lee

Ethical Review Manager. Applicant User Guide

Data Mining with Oracle 10g using Clustering and Classification Algorithms Nhamo Mdzingwa September 25, 2005

MODFLOW STR Package The MODFLOW Stream (STR) Package Interface in GMS

Modeling Factors Associated with Healthcare Data Breaches. Session #155, March 3, 2018 Dr. Alex McLeod, Dr. Diane Dolezel, Texas State University

MULTIPLE INDICATOR CLUSTER SURVEYS ROUND 4 (MICS4) UNICEF WCARO WORKSHOP DATA PROCESSING Dakar, Senegal July 2010 Agenda

Fast Calculation of Calendar Time-, Ageand Duration Dependent Time at Risk in the Lexis Space

Statistical and Computational Challenges in Combining Information from Multiple data Sources. T. E. Raghunathan University of Michigan

Brief Guide on Using SPSS 10.0

RD-Action WP5. Specification and implementation manual of the Master file for statistical reporting with Orphacodes

How Managers and Executives Can Leverage SAS Enterprise Guide

Transcription:

Answer keys for Assignment 16: Principles of data collection (The correct answer is underlined in bold text) 1. Supportive supervision is essential for a good data collection process 2. Which one of the following is the proper way of validating the data? a. Repetition of full data collection in the same population b. Data collection in a new population c. Repetition of data collection in a randomly selected subset in the same population d. Repeat data collection not required 3. Reliability denotes a. Precision b. Repeatability c. Reproducibility 4. This should not be done in data collection a. Training of staff members b. Review of collected data for quality and completeness c. Manipulation of data d. Validation 5. Who is mainly responsible to check the accuracy of data collected before leaving the data collection site? a. Field investigator b. Field supervisor c. Principle investigator d. Study participant 6. Which of the following is true about the training of data collection staff? a. Conduct on-site training b. Conduct mock training sessions c. Training is always optional d. a and b

7. Time pressure during data collection may result in dilution of the data quality 8. Roadmap of data collection is a. Question by question guide b. On site and off site training c. Pilot test d. Supportive supervision 9. Which of the following statement is true regarding data collection for an epidemiological study? a. Reliability refers to consistency of information b. Accuracy is the ability of a measurement to be correct on an average c. Feasibility is the ability of investigator to understand the data d. Both a and b 10. The collected data should be a. Complete b. Readable c. Consistent

Answer keys for Assignment 17: Data management (The correct answer is underlined in bold text) 1. Steps in data management include a. Defining a variable, creating a study database and dictionary b. Enter data, correct errors and create dataset for analysis c. Backup and archive data set 2. Data documentation includes information about the following items a. Structure (Name, number of records etc) alone b. Storage information (Media, location, backup information) c. Structure (Name, number of records etc),variables (Name, values, coding), History (Creation, modification) and Storage information (Media, location, backup information) d. Structure(Name, number of records etc) and Storage information(media, location, backup information) 3. The design of data collection instrument a. Data entry friendly b. Locally understandable language c. Auto coding function 4. The data dictionary is useful in the following situation a. When a database is shared with others b. When data is collected c. If the researcher has to get back to the database later d. a and c 5. When we are creating variable name it should be a. Clearly understandable and should refer to the questionnaire b. Long and can have spaces c. Consistent and without duplicates d. a and c

6. In order to avoid duplication in data entry we should mark each questionnaire as the data entry is completed 7. Key elements of data management a. Data structure and data entry b. Individual and aggregated databases c. Mother and daughter databases 8. The process of data entry gives us an opportunity for partial data cleaning 9. Identifier in the database is a. Unique b. Maintained by a computerized index c. Secured by quality assurance procedures 10. In a data management system each row represents a a. Variable b. Record c. Heading d. Appendix

Answer keys for Assignment 18: Overview of data analysis (The correct answer is underlined in bold text) 1. In the descriptive stage of analysis we use logistic regression models 2. We need to avoid spreadsheet for data management and analysis of any type and size 3. In which type of (i) research question and (ii) study outcome and (iii) disease condition (rare/frequent), we choose analytical cross sectional study design with prevalence ratio as the measure of association a. Descriptive type of research question - acute study outcomes-frequent disease condition b. Analytical type of research question chronic study outcomes - frequent disease condition c. Descriptive type of research question - acute study outcomes - rare disease condition d. Analytical type of research question chronic study outcomes - rare disease condition 4. We need to avoid the following while performing data analysis a. Post hoc analysis b. Data drenching c. Stratified data analysis d. Both a and b 5. Epi-Info is a software used for data entry and data analysis 6. Analysis plan depends on a. Objectives of the study b. Budget c. Study type (Descriptive or analytical) d. Both a and c 7. While examining the exposure and outcome association based on a priori hypotheses, we compare groups for frequency of exposures and outcomes using appropriate measure of association

8. The three stages of data analysis are in the following order a. Descriptive stage, analytical stage and recoding stage b. Recoding stage, descriptive stage and analytical stage c. Analytical stage, descriptive stage and recoding stage d. Descriptive stage, coding stage, recoding stage 9. If we are doing an analytical study and the study outcome is of acute nature and rare condition what is the appropriate (i)study design and (ii) measure of association? a. Cohort study -relative risk b. Case-control study odds ratio c. Cross sectional study-prevalence ratio d. Surveillance -Incidence 10. In case of descriptive studies, which of the following is wrong? a. We describe the study outcome for 1 group b. We compare the study outcome for 2 groups c. We calculate the incidence for cohort or surveillance data d. We calculate prevalence for cross sectional survey