MONITORING AND EVALUATION

Stata - Beginner - Part2 (រៀន​ Stata))  

Stata - Beginner - Part1 (រៀន​ Stata)  

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 Basic Quantitative Analysis Methods This type of statistical analysis method sees how each person who responded in a certain way to a question responds to another question or the tendency of responses depending on the attribution. For instance, by creating a table (a cross-tabulation) composed of two variables: 1) the row variable is “practice of hand-washing”; and 2) the column variable is “the participation in the hygiene campaign,” we can estimate the frequency or the ratio of people who practice hand-washing based on whether they participated in the campaign. This method is useful for comparing a target group with a project and a control group without any project to examine the influences of a project on different groups. Another example is determining whether religious Blacks are more likely (or less likely) to be militant than nonreligious Blacks. Perhaps the most straightforward approach is to cross-tabulate militancy by religiosity, that is, to count the frequency of per...

Basic Quantitative Analysis Methods The basic quantitative analysis method deals with a single variable. This method is suitable for examining the degree of achievement or for comparing that achievement with target values. Although a simple method, it provides meaningful data and thus is useful for carrying out the evaluation. Types of analysis are described below. Frequency (e.g., the number of persons who answered “yes” and that of persons who answered “no”), Percentage distribution (e.g., the ratio of persons who responded per 100 persons), Central tendency (the mean, the mode, the median), Standard deviation (to see how far the values are distributed from the mean).

The term variable refers to each set of response categories and the associated codes. A machine-readable data set (whether stored on computer tape or computer disk) consists of codes for each individual in the sample corresponding to the response categories for the variables included in the data set. Suppose, for example, the earlier question on whether civil rights demonstrations have helped Negroes is the tenth variable in a survey. Suppose, also, that the first respondent in the sample had said that demonstrations “helped a little.” The data set would then include a “2” in the tenth location for the first individual. To know precisely what is included in a data set and wherein the data set is located, a codebook is prepared and used as a map of the data set. Here, it is sufficient to note that the rudimentary materials necessary to carry out the sort of analysis dealt with in this book are a data set, a codebook for the data set, and documentation that describes the sample; we will ...