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

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steps for 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 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 calculation1
Sample size Calculation

N

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

1+(N(e)2

sample size calculation3
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 calculation4
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

slide10

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

slide11

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