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Development Evaluation and Research

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# Development Evaluation and Research - PowerPoint PPT Presentation

CCIM Office 2 nd Sept, 2011. Development Evaluation and Research. Outlines. Steps for Evaluation and Research. 1. Objectives. 2. Focus &amp; S cope. 3. Select Indicators. 4. Chose Study design. 5. Data Collection Plan. 6. Data Enumerators Train. 7.

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CCIM Office

2nd Sept, 2011

### Development Evaluation and Research

Steps for Evaluation and Research

1

Objectives

2

Focus & Scope

3

Select Indicators

4

Chose Study design

5

Data Collection Plan

6

Data Enumerators Train

7

Data collection/Field Work

8

Data Cleaning & Verification

9

Data Processing & Aggregation

10

Data Analysing & Organization

11

Data Interpretation & Report

12

Data Use and Data Translation

Confidence and Precision
• Confidence Level: The standard confidence level is 95%. This means you want to be 95% certain that your sample results are an accurate estimate of the population as a whole.
• Precision: This is sometimes called sampling error or margin of error. We often see this when results from polls are reported.
• Confidence Interval: We can say that we are 95% certain (this is the confidence level) that the true population's average salary is between 1,800 and 2,200 (this is the confidence interval).
Sample size Calculation

N

n= ----------

1+(N(e)2

Sample size Calculation

N

n= ----------

1+(N(e)2

n: Sample Size

N: Population Study

e: Level of precision

Yamane (1960) formula assumes a degree of variability (i.e. proportion) of 0.5 and a confidence level of 95%.

Sample size Calculation

n= sample size

p = the approximate proportion you expect to find in the population

q = 1-p

e = the level of precision you can tolerate (plus or minus 10%, etc.)

z = the z-value from a table for the level of confidence you want

LOT5= 19

LQAS

• LQAS = Lot Quality Assurance Sampling
• Developed in the 1920’s
• In 1980’s, method was adapted to measure health program coverage:
• Immunization
• Malaria
• Neonatal tetanus elimination
• Leprosy elimination
• Family planning,
• HIV/AIDS prevention
• In Cambodia World Vision , CONCERN , ADRA, and other

LOT1= 19

LOT2= 19

LOT3= 19

1.

• Can be used locally
• Can provide an accurate measure of coverage ( benchmark)
• Can be used for quality assurance
• is a simple, low cost random sampling methodology
• Small sample
• Meet the quality standards
• Statistically determined sample size

LOT4= 19

LOT5= 19

Sample size for LQAS

where

n= sample size

p = the approximate proportion you expect to find in the population

q = 1-p

e = the level of precision you can tolerate (plus or minus 10%, etc.)

z = the z-value from a table for the level of confidence you want

n = (1.96)2 (0.5 x 0.5) / (0.1) 2

n = (3.84) (0.25)/(0.01)

n = 96

Sampling Techniques

we want to select 100 files from a population of 500?

youdo not have a complete list of everyone in the population of interest

Cluster sampling is a multi-step way or we may want to take a stratified sample of farmers at various distances from a major city

combinations of methods are used

Data Analyzing
• DATA ORGANIZATION
• DATA INTERPRETATION
• REPORTING
• DATA USE