1 / 17

Development Evaluation and Research

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.

iona-clements
Download Presentation

Development Evaluation and Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CCIM Office 2nd Sept, 2011 Development Evaluation and Research

  2. Outlines

  3. 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

  4. Sample size Calculation

  5. 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).

  6. Sample size Calculation N n= ---------- 1+(N(e)2

  7. Sample size Calculation

  8. 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%.

  9. 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

  10. 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

  11. 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

  12. 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

  13. Systematic Random Sampling

  14. LQAS

  15. Data collection Methods

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

  17. Discussion

More Related