Barbara Geddes’ Argument for Program Evaluation
A brief explanation of the relevance of Barbara Geddes’ argument for program evaluation.
Evaluating a program is significant in the selection of cases for study since it enables one to compare and contrast several variables to help gather full information about the variables and get to know whether the factors identified are vital antecedents of the results of analysis. It also helps to avoid occurrences of mistaken inferences and avoid biases on the results of the statistics towards finding no relationship among the variables when indeed a relationship exists (Geddes, 2007). Effective evaluation of a program ensures that the outcomes provided are truthful and hence can provide a long-term basis for further studies.
Then, explain when a scenario of choosing cases solely on the dependent variable might be permissible.
If a researcher chooses a case which explains why some developing countries have grown so rapidly than the others, the use of dependent variables can be convenient since the researcher can select only a few newly successful mechanizing countries for their study. For example, some countries such as Brazil and Mexico, the governments wielded much control over labor and prevented expressions of worker dissatisfaction during the rapid development periods which causes the difference in growth rate compared with other developing countries (Geddes, 2007).
Provide a rationale for your explanations.
When a researcher uses different variables for different studies, a sense of biases can be created hence providing falsely conclusions. For example, if one study has “A” while the other has “B”, then the validity of the research is affected since the argument provided is only a half hence far from the truth. When comparing growth rate in the developing countries, the repression and discipline of labor can be used to measure its relationship and the contribution towards the rapid growth among various countries. Therefore, the analysts can agree and exhibit a common trait that the repression of labor causes the difference in the growth rate.