Victimization Survey Methodology Corin Bailey Research Fellow. Sir Arthur Lewis Institute of Social and Economic Studies Cave Hill, Barbados.

Slides:



Advertisements
Similar presentations
Scope and method of pilot survey in China Yang kuan kuan Deputy director-general of office on Leading group of the Second National Economic Census under.
Advertisements

Jump to first page Workshop on Statistics on International Trade in Services 1 III. DATA COLLECTION STRATEGIES 1. OVERVIEW OF DATA SOURCES AND SURVEY METHODOLOGY.
Overview of Sampling Methods II
Outline Major programmes for collecting industrial statistics Decennial Census of Industries Annual survey of industries Survey of construction industries.
Economic Performance of Sri Lanka
Sampling Frames for Establishment Surveys International Workshop on Industrial Statistics Beijing, China, 8-10 July 2013.
ECONOMIC STATISTICS AND NATIONAL ACCOUNT IN ETHIOPIA By Sehin Merawi Central Statistical Agency of Ethiopia.
Presented by Magnus Ebo Duncan On 30 th April 2008 Revised GDP Estimates for 2008.
Sampling Strategy for Establishment Surveys International Workshop on Industrial Statistics Beijing, China, 8-10 July 2013.
Production of Statistics on Informal Sector Employment and Informal Employment in Namibia By Panduleni C Kali.
District Domestic Product compilation and its uses.
Regional Workshop for African Countries on Compilation of Basic Economic Statistics Addis Ababa, October 2007 The Role of an Economic Census in Zambia.
Economic Data for St Lucia: Preliminary Findings Ramesh Chaitoo International Trade Consultant fc Background Seminar.
Friday, May 7, Descriptive Research Week 8 Lecture 2.
AP Statistics C5 D2 HW: p.287 #25 – 30 Obj: to understand types of samples and possible errors Do Now: How do you think you collect data?
1 Transition of National Accounts of the Republic of Belarus to 2008 SNA Methodology and Cooperation between Producers of Official Statistics National.
Why sample? Diversity in populations Practicality and cost.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. How to Get a Good Sample Chapter 4.
16-1 COMPLETE BUSINESS STATISTICS by AMIR D. ACZEL & JAYAVEL SOUNDERPANDIAN 6 th edition (SIE)
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Murat EKŞİ September 2013 Ankara - Turkey.
Sample Design and Efficiency Considerations.  Sampling is a powerful statistical tool that can be used to provide good quality estimates at a lower cost.
June 13, 2011 SHRM Poll: Relief Efforts for Victims of the Japan Earthquake and Tsunami.
Lecture 30 sampling and field work
The implementation of tools to support the data quality of the survey frame Mario Ménard November 2008.
Sample Design.
United Nations Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Amman, Jordan,
INTERNATIONAL CONFERENCE ON MAINSTREAMING MIGRATION TO THE DEVELOPMENT AGENDA: SOUTH ASIAN EXPERIENCE Taj Samudra Hotel, Colombo, June 2013.
Copyright 2010, The World Bank Group. All Rights Reserved. Agricultural Census Sampling Frames and Sampling Section A 1.
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 13.
Sampling January 9, Cardinal Rule of Sampling Never sample on the dependent variable! –Example: if you are interested in studying factors that lead.
Definitions Observation unit Target population Sample Sampled population Sampling unit Sampling frame.
Fourth Lecture Importance of market research
Ch 2: Hong Kong’s Economy and Industrial Structure.
Distributive trade statistics in Egypt. The Methodology of statisticThe Methodology of statistic Distribution trade statistics is considered one of.
Copyright 2010, The World Bank Group. All Rights Reserved. Introduction to the System of National Accounts (SNA) Lesson 9 Data Sources for Estimating GDP.
1 Basic Scientific Research Topic 6: Sampling methods Dr Jihad ABDALLAH Source: Research Methods Knowledge Base
Sampling Distribution
Developing the Cayman Islands’ Official Statistics ESO Strategic Plan : An Overview.
PowerPoint Template - S TATISTICS I NDONESIA.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok,
1 COMPILING QGDP OF THE SERVICES SECTOR ACTIVITIES - DATA SOURCES AND METHODOLOGY Ramesh Kolli Additional Director General Central Statistical Organisation,
5-4-1 Unit 4: Sampling approaches After completing this unit you should be able to: Outline the purpose of sampling Understand key theoretical.
1 Experience of Thai NSO in ICT Statistics. Paper presented in Joint UNCTAD-ITU-UNESCAP Regional Workshop on Information Society Measurements in Asia-Pacific,
Census of Economic Establishments in Ethiopia Yasin Mossa Central Statistics Agency of Ethiopia July 2009.
Understanding Sampling
TURKISH STATISTICAL INSTITUTE Agricultural Statistics Department TURKISH STATISTICAL INSTITUTE Agricultural Statistics Department Agricultural Census Economic.
Non-observed economy in Kyrgyz Republic The National Statistical Committee of Kyrgyz Republic Sultanaliev M.K. – Leading specialist of the Department of.
Chapter 6: 1 Sampling. Introduction Sampling - the process of selecting observations Often not possible to collect information from all persons or other.
Towards the Creation of the Economic Census in Japan Shozo INAMI Statistical Research and Training Institute Ministry of Internal Affairs and Communications.
Regional Investment Climate Assessment 21 January 2015 Ankara, Turkey.
 When every unit of the population is examined. This is known as Census method.  On the other hand when a small group selected as representatives of.
ECONOMIC CENSUS IN EGYPT PREPARED BY : MOHAMED A.ELDESOKY DIRECTOR GENERAL OF CENSUS. Arab Republic of Egypt Central Agency For Public Mobilisation and.
1 Overview of Economic Statistics in Africa UNECA Andry Andriantseheno Regional Workshop on Basic Economic Statistics Addis-Ababa October 2007.
CASE STUDIES OF SOME SURVEYS IN SADC COUNTRIES Experience from Tanzania Household Surveys and Measurement of Labour Force with Focus on Informal Economy.
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Cenker Burak METİN September 2013 Ankara.
Assisting African countries to improve compilation of basic economic statistics: an outline of the UNSD strategy Vladimir Markhonko United Nations Statistics.
1. 2 DRAWING SIMPLE RANDOM SAMPLING 1.Use random # table 2.Assign each element a # 3.Use random # table to select elements in a sample.
RESEARCH METHODS Lecture 28. TYPES OF PROBABILITY SAMPLING Requires more work than nonrandom sampling. Researcher must identify sampling elements. Necessary.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Addis.
Sampling Design and Procedure
Sampling Chapter 5. Introduction Sampling The process of drawing a number of individual cases from a larger population A way to learn about a larger population.
Kenya Country Report Yaounde, September 14, AFRICA WORKING GROUP ON INFORMAL SECTOR.
EU membership - Economic implications. Summary - Trade Scotland like the majority of advanced economies has seen a shift from manufacturing to services.
Sampling Why use sampling? Terms and definitions
RESEARCH METHODS Lecture 28
CASE STUDIES OF SOME SURVEYS IN SADC COUNTRIES Experience from Tanzania Household Surveys and Measurement of Labour Force with Focus on Informal Economy.
A general look on the non-observed economy in Iran
Chapter 16 Sampling Methods
Maria Luiza Zacharias - IBGE, Brazil
Sampling: How to Select a Few to Represent the Many
Presentation transcript:

Victimization Survey Methodology Corin Bailey Research Fellow. Sir Arthur Lewis Institute of Social and Economic Studies Cave Hill, Barbados

Victimization Survey Methodology

Business Victimization Survey Refining of businesses for consideration  Focus on those businesses that had the greatest probability of being victimized.  Make the assumption that those businesses that have greater exposure to the public, will have greater levels of victimization.

Business Victimization Survey – distribution of sectors

Business Victimization Survey Next stage is to decide which businesses are to be excluded – Exclude those businesses that don’t fit the specified criteria. This leaves us with the following sampling frame Construction, mining, quarrying Wholesale and retail trade Hospitality (hotels, bars, nightclubs) Finance, insurance, real estate and business services General Services

Business Victimization Survey – revised distribution of sectors

Business Victimization Survey From this distribution, the various sector shares for sampling are as follows:  Mining and Quarrying/Construction: 10.51%  Manufacturing: 11.43%  Wholesale and Retail Trade and General Services: 62.45%  Tourism (Hotels, Restaurants, Bars and Nightclubs): 14.49%  Commercial Bank Branches: 1.12%

Business Victimization Survey Given this distribution, and the sampling limit of 300, the initial sample sizes were as follows:  Mining, quarrying and construction – 32  Manufacturing – 34  Wholesale, Retail Trade and General Services – 187  Tourism (Nightclubs, Bars, Hotels, Restaurants) – 44  Commercial bank Branches - 3

Business Victimization Survey Three issues affected the distribution that we ended up with. 1. The high level of heterogeneity expected in the wholesale and retail trade and general services 2. The high level of homogeneity expected in manufacturing businesses on the same estate 3. The need to have a greater spread of commercial banks

Business Victimization Survey – final distribution  Mining, quarrying and construction – 20  Manufacturing – 20  Wholesale, Retail Trade and general Services- 120  Tourism (Hotels, Restaurants, Bars, Nightclubs) - 40  Commercial Bank Branches - 10

Business Victimization Survey – sampling frame  Mining and Construction – 20  This sector was sampled utilizing entries in the Telephone Directory under the headings Building Contractors and Road Building Contractors.

Business Victimization Survey – sampling frame  Manufacturing – 20  This sector is sampled utilizing SALISES’ database of manufacturers and exporters.

Business Victimization Survey – sampling frame  Wholesale and Retail Trade and General Services – 210  Given the spread of these entities across the country, it is important to investigate the geographical distribution. Utilizing the Barbados Statistical Service’s Database we segmented the country into five regions with the following distribution observed

Business Victimization Survey – sampling frame

Of the 210 to be sampled from retail/general service and wholesale: – The total number of retailers/general service providers to be sampled is 200. These selected at random and stratified according to geographical location. – The wholesale element to be included is under the heading Wholesale- Grocers. Ten (10) enterprises selected at random from the Telephone Directory.

Business Victimization Survey – sampling frame  Tourism (restaurants, bars, nightclubs, hotels) – 40  From the Telephone Directory there were 136 hotels and guest houses, 233 restaurants and 72 bars and nightclubs. However, a large overlap was seen with restaurants and bars and nightclubs. The distribution for sampling was determined as 10 hotels and guest houses and 30 restaurants/bars/nightclubs.

Business Victimization Survey – sampling frame Commercial Bank Branches – 10 – Commercial Bank Branches (including the multi-branch Barbados Public Workers Cooperative Credit Union) were sampled are as follows: RBTT-1 Butterfield-1 Bank of Nova Scotia-2 First Caribbean-2 Barbados National Bank-2 Barbados Public Workers Cooperative Credit Union-1 Royal Bank of Canada-2

Business Victimization Survey – procedure  Managers/owners  Face-to-face interviews  Enumerators given two lists  For businesses with multiple locations – concern is with specific branch

Household Victimization Survey  Multi-stage sample design based on data from the 2000 population & housing census.  Stage one: The 11 parishes grouped into 4 homogenous strata. Then a set of enumeration districts (Eds) selected with the probability based on population size.  Stage two: 25 households from each ED sampled. Total of 1,125 households. (1.4% of total household population)

Household Victimization Survey – strata and allotment of EDs

Household Victimization Survey – canvassing  Upon arrival, the enumerator first locates the boundary of the ED with the help of an ED map.  He/she will then survey the ED to familiarize himself/herself with the area to be covered  The enumerator will then proceed to conduct the survey from the starting point shown on the ED map.

Household Victimization Survey – canvassing  The enumerator will canvass the area, moving to the left and enumerating all buildings found on the left hand side of the road/boundary in a sequential order. The specific households to be sampled will be based on the population of the ED and the interval computed to make the systematic selection.

THANK YOU