Conducting the eCRC Survey A Practical Guide The Asia Foundation, Dambulla, September 1-4, 2013.

Slides:



Advertisements
Similar presentations
Survey design. What is a survey?? Asking questions – questionnaires Finding out things about people Simple things – lots of people What things? What people?
Advertisements

Determining How to Select a Sample
SAMPLING.
MBF3C Lesson #1: Sampling Types and Techniques
Sections 2.3 – 2.6 Recap Unit Test on Tuesday, October 2, 2012.
Lesson Designing Samples. Knowledge Objectives Define population and sample. Explain how sampling differs from a census. Explain what is meant by.
Sample Design (Click icon for audio) Dr. Michael R. Hyman, NMSU.
sampling Dr Majed El-Farra
Who and How And How to Mess It up
Sampling.
Sampling and Sample Size Determination
Sampling Prepared by Dr. Manal Moussa. Sampling Prepared by Dr. Manal Moussa.
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
CHAPTER twelve Basic Sampling Issues Copyright © 2002
11 Populations and Samples.
Determining the Sample Plan
Course Content Introduction to the Research Process
Sampling Methods and Sampling Theory Alex Stannard.
Sampling Moazzam Ali.
Marketing Research Aaker, Kumar, Day Seventh Edition Instructor’s Presentation Slides.
Sampling Designs and Sampling Procedures
Lecture 30 sampling and field work
Sampling Methods and Sampling Theory
University of Central Florida
1 MARKETING RESEARCH Week 3 Session A IBMS Term 2,
Sampling. Concerns 1)Representativeness of the Sample: Does the sample accurately portray the population from which it is drawn 2)Time and Change: Was.
CHAPTER 12 – SAMPLING DESIGNS AND SAMPLING PROCEDURES Zikmund & Babin Essentials of Marketing Research – 5 th Edition © 2013 Cengage Learning. All Rights.
Overview of the Program : Understanding LEG, training plan and general instructions Training of Trainers (TOT) Program on Application of eCRC in Local.
WHO ARE KENYANS PREPARED TO VOTE FOR AS OF NOW? SPEC BAROMETER RESULTS November 9th 2007.
Planning Research Part 1 Method, Participants, Instruments & Ethics Kathy-ann Hernandez, Ph. D. Spring 2007.
7.1Sampling Methods 7.2Introduction to Sampling Distribution 7.0 Sampling and Sampling Distribution.
Learning Objectives Copyright © 2004 John Wiley & Sons, Inc. Basic Sampling Issues CHAPTER Ten.
Under the Guidance of Dr. ADITHYA KUMARI H. Associate Professor DOS in Library and Information Science University of Mysore Mysore By Poornima Research.
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 13 Collecting Statistical Data 13.1The Population 13.2Sampling.
Population vs. Sample The entire group of individuals that we want information about is called the population. A sample is a part of the population that.
CHAPTER 12 DETERMINING THE SAMPLE PLAN. Important Topics of This Chapter Differences between population and sample. Sampling frame and frame error. Developing.
Introduction Biostatistics Analysis: Lecture 1 Definitions and Data Collection.
Sampling Methods.
Sampling “Sampling is the process of choosing sample which is a group of people, items and objects. That are taken from population for measurement and.
DTC Quantitative Methods Survey Research Design/Sampling (Mostly a hangover from Week 1…) Thursday 17 th January 2013.
Sampling Design and Analysis MTH 494 Ossam Chohan Assistant Professor CIIT Abbottabad.
URBDP 591 A Lecture 11: Sampling and External Validity Objectives What is sampling? Types of Sampling –Probability sampling –Non-probability sampling External.
Chapter Ten Basic Sampling Issues Chapter Ten. Chapter Ten Objectives To understand the concept of sampling. To learn the steps in developing a sampling.
Sampling Chapter 1. EQT 373 -L2 Why Sample? Selecting a sample is less time-consuming than selecting every item in the population (census). Selecting.
Sampling Techniques 19 th and 20 th. Learning Outcomes Students should be able to design the source, the type and the technique of collecting data.
S AMPLING T ECHNIQUES. How is it possible that when survey’s come out, they can say that 23% of Canadians like to take long walks on the beach when no.
7.1Sampling Methods 7.2Introduction to Sampling Distribution 7.0 Sampling and Sampling Distribution.
Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. 1.1 Chapter Five Data Collection and Sampling.
Chapter Five Data Collection and Sampling Sir Naseer Shahzada.
AP STATISTICS Section 5.1 Designing Samples. Objective: To be able to identify and use different sampling techniques. Observational Study: individuals.
Chapter Eleven The entire group of people about whom information is needed; also called the universe or population of interest. The process of obtaining.
Part III – Gathering Data
Chapter 6: 1 Sampling. Introduction Sampling - the process of selecting observations Often not possible to collect information from all persons or other.
Sampling Techniques Governments, companies, and news agencies often want to know the public’s opinion on pertinent questions. Elections offer an excellent.
Sampling The complete set of people or objects that information is collected from is called the population. Information is normally taken from a small.
11 Basic Sampling Issues. Concept of Sampling Sampling: Process of obtaining information from subset (a sample) of a larger group (the universe or population).
Chapter Ten Copyright © 2006 John Wiley & Sons, Inc. Basic Sampling Issues.
1 Data Collection and Sampling Chapter Methods of Collecting Data The reliability and accuracy of the data affect the validity of the results.
LIS 570 Selecting a Sample.
Bangor Transfer Abroad Programme Marketing Research SAMPLING (Zikmund, Chapter 12)
Data Collection and Experimental Design. Data Collection Methods 1. Observational study 2. Experiment 3. Simulation 4. Survey.
1 Introduction to Statistics. 2 What is Statistics? The gathering, organization, analysis, and presentation of numerical information.
Probability Sampling. Simple Random Sample (SRS) Stratified Random Sampling Cluster Sampling The only way to ensure a representative sample is to obtain.
Population vs. Sample. Population: a set which includes all measurements of interest to the researcher (The collection of all responses, measurements,
Sampling. Census and Sample (defined) A census is based on every member of the population of interest in a research project A sample is a subset of the.
PRESENTED BY- MEENAL SANTANI (039) SWATI LUTHRA (054)
MATH Section 6.1. Sampling: Terms: Population – each element (or person) from the set of observations that can be made Sample – a subset of the.
AC 1.2 present the survey methodology and sampling frame used
NON -PROBABILITY SAMPLING
Presentation transcript:

Conducting the eCRC Survey A Practical Guide The Asia Foundation, Dambulla, September 1-4, 2013

DREAMERS LEARNERS DOERS DOUBTERS Meeting Expectations

SESSION 1 The Asia Foundation, Dambulla, September 1-4, 2013 Methodology of eCRC

The Key Steps… 1.Identifying services & issues– Which services and what to study? 2.Determining the sample – Whom to ask? 3.Designing the questionnaire – What to ask? 4.Conducting the survey – How to collect information? 5.Analyzing the information – What to report? 6.Using the information – How to use the findings to improve services? The Asia Foundation, Dambulla, September 1-4, 2013

What services are we looking at LG Regulatory Services (10) LG Common Services (10) Local Infrastructure (9) The Asia Foundation, Dambulla, September 1-4, 2013

1. Local Infrastructure What do we want to know? - meeting community priority - quality of construction - time taken to complete the work - availability of information - performance of the contractor - awareness & performance of SACs - community participation Whom do we ask? - Immediate beneficiaries The Asia Foundation, Dambulla, September 1-4, 2013

1. Local Infrastructure (Contd.) What type of information / analysis are we interested in? - variations of experiences across a. LAs b. GN Divisions (within a LA) c. Type of infrastructure d. Value of contract e. Contractors The Asia Foundation, Dambulla, September 1-4, 2013

2. LG Common Services What do we want to know? - Availability of service - Usage of service - Quality of service - Reliability of service - Satisfaction with service ` Whom do we ask? - Users (in a household) The Asia Foundation, Dambulla, September 1-4, 2013

2. LG Common Services (Contd.) What type of information / analysis are we interested in? - variations of experiences across a. LAs b. GN Divisions (within a LA) c. Gender d. Age e. Ethnicity f. Economic status g. Distance of residence from centre The Asia Foundation, Dambulla, September 1-4, 2013

3. LG Regulatory Services What do we want to know? - Availability of information - Ease of applying - Process time - Satisfaction with service ` Whom do we ask? - Users The Asia Foundation, Dambulla, September 1-4, 2013

3. LG Regulatory Services (Contd.) What type of information / analysis are we interested in? - variations of experiences across a. LAs b. GN Divisions (within a LA) c. Gender d. Ethnicity e. Economic status f. Distance of residence from centre The Asia Foundation, Dambulla, September 1-4, 2013

Understanding the Questionnaire Components of questionnaire Enumerator information Introduction Filter / qualifiers questions Demographics The body of the schedule - sections if needed - sub- schedules if required 12 The Asia Foundation, Dambulla, September 1-4, 2013

Ayubowan! I am ……… from the ……LA. This is my identity card. We are currently conducting a survey on the services provided by the LA. We are conducting interviews at over 1500 households and your house is one of them that was chosen by chance from this area. We would like to discuss your experiences with these services. Information from this interview will be used to study and improve the services and will not be used for any other purpose. Your identity will be kept confidential and your name will not be recorded here. This survey will take about 10 minutes. May I please talk with you or any other adult member in the family who can give me information on the services? Introduction*** The Asia Foundation, Dambulla, September 1-4, 2013

What not to do during an introduction! 14 In a previous CRC, an enumerator introduced himself by saying, “We are here to find out what problems you face when using services provided by the government.” This introduction immediately communicates a biased tone to the interview. Let the respondent tell you about their experience with service delivery—not the other way around! The Asia Foundation, Dambulla, September 1-4, 2013

Section 3 – Filter Questions “Have you, or anyone in your family, visited a Trade Licence Office in the past one year?” Yes [continue with interview] No [terminate interview] 15 Filters/ Qualifiers

Section 4 – Demographics Basic information about the household/respondent – age, gender, ethnicity, economic status, etc. 16

Sampling Population: The complete collection of individuals or objects that are of interest to us. Sample: A subset of the population which can help us study the population 17

Size of the sample has no meaning after a certain number Sample should be representative How? Sampling techniques: Ex: Simple Random Sampling Stratified sampling Cluster sampling etc… Some Simple Rules

Population – (People who live in the Eastern Province) Sampling (FOR COMMON SERVICES)

Simple Random Sampling (SRS) Randomly select 12 people Generate 12 random numbers between 1 – 30 11, 28, 4, 2, 21, 13, 19, 26, 16, 7, 23,30 Sample size - 12

Stratified Sampling Identify possible Strata

Strata Proportionately allocate people from strata ( 4 from each stratum). Then apply SRS Batti Ampara Kalmunai

How do we sample within a LA 2 methods a.Scientific Method – PPS b.Quick Method – Social Mapping 23 The Asia Foundation, Dambulla, September 1-4, 2013

What is PPS? Probability Proportionate to Size (PPS) -Selecting sample within a strata in the same proportion as they are represented in the population. -E.g., Ethnicity, location, 24 The Asia Foundation, Dambulla, September 1-4, 2013

How do we do a PPS selection a.First allocate the total sample for the LA (1500) across the GN Divisions using PPS b.Within each GND, select the sample on the basis of a pre determined criteria – ethnicity, location, economic status c.Randomly select households keeping the quotas in mind ….Let us see an example 25 The Asia Foundation, Dambulla, September 1-4, 2013

NUWARA ELIYA Municipal Council Ethnicity GN. DivisionsSinhalese SL Tamil Indian Tamil MoorOtherTotal Nuwara Eliya A - Magasthota B - Kalukele C - Kelegala D - Nuwara Eliya Central E - Sandathenna F - Hawaeliya West G - Hawaeliya North H - Hawaeliya East I - Bulu Ela K - Bambarakele L - Nuwara Eliya West M - Shanthipura N - Kalapura Total

Quick Method a.First allocate the total sample for the LA (1500) across the GN Divisions using PPS b.Within each GND, select the sample on the basis of a clusters (diversity) c.Select sample households randomly within each cluster 27 The Asia Foundation, Dambulla, September 1-4, 2013

SAMPLING (FOR REGULATORY) 3 Methods a.Census of HHs within GN Division b.Tracer Interviews c.Exit Interviews / Intercept Interviews 28 The Asia Foundation, Dambulla, September 1-4, 2013

1. Census of HHs in a LA a.Quick survey of all HHs to identify which HHs have used which of the 10 services. b.Target HHs where maximum number of services have been used. c.Proceed with the list till you get the required number for all services (50 respondents per service) 29 The Asia Foundation, Dambulla, September 1-4, 2013

2. Tracer Interviews a.Obtain a list of all users of a service who applied /interacted during the last 1 year. b.Generate a random list of 50 names from the list c.Carry out the interview for the identified names 30 The Asia Foundation, Dambulla, September 1-4, 2013

3. Exit/ Intercept Interviews a.Stand outside the centre/facility b.Interview persons coming out at a pre- determined frequency (every 3 rd person) – first determine the average number of transactions per day. c.Ensure that the quota is obtained (50) 31 The Asia Foundation, Dambulla, September 1-4, 2013