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The Most Significant Change Technique (MSC) is a monitoring and evaluation (M&E) method used for the monitoring and evaluating of complex development interventions. It was developed by Rick Davies as part of his PhD field work with the Christian Commission for Development in Bangladesh (CCDB) in 1994. [ 1 ]
Methods rooted in classical sociology and statistics have formed the basis for research in disciplines such as political science and media studies. They are also often used in program evaluation and market research .
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...
Blocking is used to remove the effects of a few of the most important nuisance variables. Randomization is then used to reduce the contaminating effects of the remaining nuisance variables. For important nuisance variables, blocking will yield higher significance in the variables of interest than randomizing. [10]
One of the most important requirements of experimental research designs is the necessity of eliminating the effects of spurious, intervening, and antecedent variables. In the most basic model, cause (X) leads to effect (Y). But there could be a third variable (Z) that influences (Y), and X might not be the true cause at all.
Theory of Change (ToC) is a multi-purpose tool that can be applied for the purpose of planning, managing, monitoring, and evaluating research, especially change-oriented research (e.g., research-for-development, transdisciplinary research, sustainability science). As in other applications, a research ToC describes the causal relationships ...
Animal research relies on carefully constructed methodologies, and these are species specific. A major obstacle to research on the innateness of memory is the scarcity of subjects with apparent superior memory quality to make up a sample from which statistically significant conclusions can be drawn.
Constituent Voice is akin to other recent innovations in measurement and project evaluation systems such as Outcome mapping, Utilisation-Focused Evaluation, and Most significant change technique in that it values measurement for its usefulness. It complements these and related approaches in its focus on measuring relationship quality ...