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If the number of scores is even, calculate the mean of the middle two scores.

If the number of scores is odd, the median is the number that splits the distribution.Listing the scores in order and counting the number of scores.Median – the numerical middle point or score that cuts the distribution in half for a particular variable.Minimum and maximum values – the highest and lowest value for a particular variable.Mean – the numerical average of scores for a particular variable.To demonstrate each procedure we will use the example summer program student survey data presented in “ Enter, Organize, & Clean Data” section.Ī descriptive refers to calculations that are used to “describe” the data set. Moderate and advanced analytical methods.Data tabulation (frequency distributions & percent distributions).However, there are several procedures you can use to determine what narrative your data is telling. Due to sample size restrictions, the types of quantitative methods at your disposal are limited. Once you have identified your levels of measurement, you can begin using some of the quantitative data analysis procedures outlined below. This ratio hold true regardless of which scale the object is being measured in (e.g.For example – 10 inches is twice as long as 5 inches.Having an absolute zero enables you to meaningful say that one measure is twice as long as another.Ratio data – data is continuous, ordered, has standardized differences between values, and a natural zero Example: Items measured on a Likert scale – rank your satisfaction on scale of 1-5.You cannot say, for example, that one day is twice as hot as another day.Remember that ratios are meaningless for interval data.Interval data – data is continuous and has a logical order, data has standardized differences between values, but no natural zero Example: Military rank (from Private to General).Example: T-shirt size (small, medium, large).Ordinal data – data has a logical order, but the differences between values are not constant Each category is assigned an arbitrary value (male = 0, female = 1).There is no order associated with male nor female.Nominal data – data has no logical data is basic classification data

The level of measurement can influence the type of analysis you can use. Quantitative Analysis in Evaluationīefore you begin your analysis, you must identify the level of measurement associated with the quantitative data. You will also be provided with a list of helpful resources that will assist you in your own evaluative efforts. In this section, you will learn about the most common quantitative analysis procedures that are used in small program evaluation. Quantitative data can be analyzed in a variety of different ways. Quantitative data analysis is helpful in evaluation because it provides quantifiable and easy to understand results.