Presentation is loading. Please wait.

Presentation is loading. Please wait.

The Missing Link: From Concepts to Questions in Economic Surveys

Published byGeraldine Webster Modified over 6 years ago

Similar presentations

Presentation on theme: "The Missing Link: From Concepts to Questions in Economic Surveys"— Presentation transcript:

1 The Missing Link: From Concepts to Questions in Economic Surveys
Ger Snijkers – Statistics Netherlands Diane K. Willimack – US Census Bureau 2nd European Establishment Statistics Workshop (EESW) September 2011, Neuchatel, Switzerland

2 From theory to data: in theory From theory to data: in practice
Overview From theory to data: in theory From theory to data: in practice Methods Iterative approach Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

3 From Theory to Data: How?
Empirical world: Theoretical world: ? X Theory Data file Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

4 From Theory to Data: in theory
Empirical world: Operationalisation Survey measurement Data processing Theoretical world: Conceptualisation Theory Data file Processing errors Response Concepts Measurement & Non-response errors Pre-testing Questionnaire Specification errors Operationalisation errors Attributes Question(s) Operational definition Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

5 From Theory to Data: in practice
Empirical world: Operationalisation Survey measurement Data processing Theoretical world: Conceptualisation Theory Data file Processing errors Response Concepts Measurement & Non-response errors Pre-testing Questionnaire Missing link! Specification errors Operationalisation errors Attributes Question(s) Operational definition Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

6 2. From Theory to Data: in practice
Consequences: Missing variables Measurement errors: variability and bias Non-response Response burden and trust Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

7 3. Conceptualisation and Operationalisation
Approaches: Top-down: 2. Bottom-up: - Theory driven - Data driven - Reasoning - Using observations (quantitative and qualitative; not only survey data) Empirical world Theoretical world Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

8 3.1 . Theory-driven approaches
Dimension/Attribute analysis Content Development Techniques Theoretical world: Conceptualisation Theory Concepts Attributes Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

9 3.2 . Data-driven approaches
Questionnaire Sampling Early-stage Scoping Interviews / Exploratory Focus Groups Concept Mapping Feasibility studies Accounting Expert Reviews Record Keeping Studies Exploring concepts and attributes, with increasing degree of specification Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

10 Iterative Approach Empirical world: Operationalisation
Theoretical world: Conceptualisation Theory Data file 1. Theory-driven methods Response 3. Relating Q to theory Concepts 4. Pre-testing Questionnaire 2. Theory-driven & Data-driven methods Attributes Question(s) Operational definition Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

11 Thank you Missing Link: Conceptualisation and Operationalisation EESW2011, 12 Sept 2011

Download ppt "The Missing Link: From Concepts to Questions in Economic Surveys"

Similar presentations

Click on the pictures for the details. introduction approach topic method questiondissertation Ismo M Kuhanen Getting Started Data Collection Literature.

Click on the pictures for the details. introduction approach topic method questiondissertation Ismo M Kuhanen Getting Started Data Collection Literature.
Research methods Basic concepts. Theoretical and technical research  Describe and formalise phenomenons mathematically  Make (non-trivial) proofs in.

Research methods Basic concepts. Theoretical and technical research  Describe and formalise phenomenons mathematically  Make (non-trivial) proofs in.
Methodology A preview. What is Methodology  Choosing a method of data collection  Structure of the research  Builds on and draws from problem statement.

Methodology A preview. What is Methodology  Choosing a method of data collection  Structure of the research  Builds on and draws from problem statement.
Chapter 10 Collecting Quantitative Data. SURVEY QUESTIONNAIRES Establishing Procedures to Collect Survey Data Recording Survey Data Establishing the Reliability.

Chapter 10 Collecting Quantitative Data. SURVEY QUESTIONNAIRES Establishing Procedures to Collect Survey Data Recording Survey Data Establishing the Reliability.
Problem Identification

Problem Identification
CITE Research Symposium 2002 6 July, 2002 MR. Dominic Kwok.

CITE Research Symposium July, 2002 MR. Dominic Kwok.
RESEARCH METHODS Lecture 19

RESEARCH METHODS Lecture 19
Research method2 Dr Majed El- Farra 1 Research methods Second meeting.

Research method2 Dr Majed El- Farra 1 Research methods Second meeting.
4 April 2007METIS Work Session1 Metadata Standards and Their Support of Data Management Needs Daniel W. Gillman Bureau of Labor Statistics Paul Johanis.

4 April 2007METIS Work Session1 Metadata Standards and Their Support of Data Management Needs Daniel W. Gillman Bureau of Labor Statistics Paul Johanis.
The MEMOBUST project Ágnes Andics 10.09.2013. EESW Nürnberg 1.

The MEMOBUST project Ágnes Andics EESW Nürnberg 1.
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 5.

MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 5.
Human Inquiry and Science Holographic Overview. Questions for Discussion What are the common errors of human inquiry? What are quantitative and qualitative.

Human Inquiry and Science Holographic Overview. Questions for Discussion What are the common errors of human inquiry? What are quantitative and qualitative.
Knowledge sharing and creation in a teachers’ professional virtual community Presenter: Che-Yu Lin Advisor: Min-Puu Chen Date: August 5,2008 1 Lin, F.,

Knowledge sharing and creation in a teachers’ professional virtual community Presenter: Che-Yu Lin Advisor: Min-Puu Chen Date: August 5, Lin, F.,
Audit Evidence Process

Audit Evidence Process
CONCEPT OF QUALITATIVE RESEARCH Nkoli Ezumah University of Nigeria, Nsukka (UNN) UNN-AuthorAID Workshop on Qualitative.

CONCEPT OF QUALITATIVE RESEARCH Nkoli Ezumah University of Nigeria, Nsukka (UNN) UNN-AuthorAID Workshop on Qualitative.
© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 1 Introduction to Research in Communication Research: –Process of asking questions.

© 2006 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Chapter 1 Introduction to Research in Communication Research: –Process of asking questions.
1. 2 Issues in the Design and Testing of Business Survey Questionnaires: Diane K. Willimack U.S. Census Bureau Economic Census 10 11 The International.

1. 2 Issues in the Design and Testing of Business Survey Questionnaires: Diane K. Willimack U.S. Census Bureau Economic Census The International.
Reasoning- The Thought process It is about argumentation: Explain Interpret Defend Challenge Explore meaning  Two approaches: Deduction (Theory to Data)

Reasoning- The Thought process It is about argumentation: Explain Interpret Defend Challenge Explore meaning  Two approaches: Deduction (Theory to Data)
DATA COLLECTION What is Data? Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things Data.

DATA COLLECTION What is Data? Data is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things Data.
MARKET RESEARCH Marketing Management Session 5 October 3, 1997.

MARKET RESEARCH Marketing Management Session 5 October 3, 1997.

Similar presentations

Ads by Google