Why we need to do M&E Feedback mechanism (what works and what does not) Informing stakeholders Project Cycle Assessment and planning- implementation and monitoring- evaluation- adaption Outcome Monitoring (Impact Evaluation) vs. Process Monitoring (Implementation Evaluation) Monitoring Strategy Comparisons- comparing results of our project to some benchmarks: Comparing a group impacted by our project to itself (over time) Comparing a group impacted by our project to a group not impacted
Premium Sampling Stratified sampling Data collection
Procedures There are many sampling procedures that have been developed to make sure that a sample really represents the target population. Simple Random Sampling In simple random sampling‚ every individual in the target population has an equal chance of being part of the sample. This requires two steps: 1. Obtain a complete list of the population. 2. Randomly select individuals from that list for the sample. In a study where the unit of analysis is the student‚ the researcher must obtain a
Premium Stratified sampling Sampling Sample
hypothesis test for each sample at the .01 level of significance and determine what action‚ if any‚ should be taken. Provide the test statistic and the p-value for each test. At 0.01 level of significance │Zᾳ/2 │ = 2.58 Reject Ho when │Z│> │Zᾳ/2 │ Sample 1 Sample 2 Sample 3 Sample 4 SAMPLE MEAN 11.958 12.028 11.889 12.081 POPULATION MEAN 12 12 12 12 SAMPLE STANDARD DEVIATION 0.22 0.22 0.20 0.20 SAMPLE SIZE 30 30 30 30 Z -1.028 0.712 -2.935 2.161 RESULT ACCEPT ACCEPT REJECT ACCEPT Sample 3 is the only one
Premium Statistical hypothesis testing Arithmetic mean Statistics
author is that a presented interval brackets the true value in the population. With everyone measured‚ the true value would be known‚ unless of course there were measurement or calculation errors. When the true value in a population is estimated with a sample of persons‚ things get more complicated. Rather then just the mean or proportion‚ we need to derive the standard error for the variable of interest‚ used to construct a confidence interval. This chapter will focus on simple random sampling or persons
Premium Sample size Standard deviation Arithmetic mean
calculations wrong‚ if a random sample of 36 customer transactions gives a mean sample of $160? State your null and alternative hypotheses. 4. A random sample is obtained from a population with variance ‚ and the sample mean is computed. Test the null hypothesis versus the alternative hypothesis with . compute the critical value ̅ and state your decision rule for the following options: a) Sample size b) Sample size c) Sample size d) Sample size 5. A random sample of is obtained from a population
Premium Standard deviation Sample size Null hypothesis
margin of error? –What was the sample size? -What sampling design was used? –What was the response rate? –What was the frame that was used? -Who paid for the survey? –From the sample that was selected‚ what was the population? Ch. 7 Pr. 17 For each of the following three populations‚ indicate what the sampling distribution for samples of 25 would consist of: a. Travel expense vouchers for a university in an academic year. -The sampling distribution of a sample means is the distribution of means
Premium Normal distribution Standard deviation Sample size
for the Population Proportion‚ p Determining the Required Sample Size Copyright ©2012 Pearson Education Chap 8-2 Introduction Copyright ©2012 Pearson Education Estimation is the process of estimating the value of a parameter from information obtained from a sample. Chap 8-3 Point and Interval Estimates A point estimate is a specific numerical value of a parameter. The best point estimate of the population mean is the sample mean. Copyright ©2012 Pearson Education An interval estimate
Premium Normal distribution Confidence interval Sample size
Eulogio “Amang” Rodriguez Institute of Science and Technology Nagtahan‚ Sampaloc‚ Manila College of Education Doctor of Education Major: EDUCATIONAL MANAGEMENT Subject: Seminar in Project Development‚ Industrial Planning Design‚ Implementation and Evaluation Professor: Dr. Elidio T. Acibar Reporter: Evelyn L. Embate Topic: Sampling SAMPLING Measuring a small portion of something and then making a general statement about the whole thing. Advantages of sampling Sampling makes possible
Free Sampling Sample size
Population Sample Descriptive Statistic Inferential Statistics Parameter vs Statistics Variable a. Categorical Statistic estimates Parameter b. Quantitative estimates ‚ sample mean ‚ population i. Discrete mean s‚ sample standard estimates ‚ population ii. Continuous deviation standard deviation Random Variable estimates P‚ population ˆ p ‚ sample Sampling Distributions proportion proportion Parameter (Defines a population) Statistic (calculated from sample to estimate
Premium Normal distribution Standard deviation Sample size
from the health system (Makowski‚ Anna Christin and Christopher Kofahl 2014). The study took the sample in Hamburg by interviewing the Turkish people‚ face to face. The sample is almost evenly distributed by gender and the people have been chosen in two ways. The first method was by the doctor’s offices and the second one by word of mouth. The research stated that in this way they took a more random sample. The final number from 294 possible candidates‚ 108 participants were part of the program. The
Premium Germany Health care Diabetes mellitus