Question

How do you critically explain or appraise a study that is comparing the level of knowledge of a given phenomenon, between two groups conducted with a 40 item questionnaire that is answered with a ture or false analysed with a student t-test, f-test, test of normality and used descriptive statistics to measure central tendecy,frequencies and dispersion of demographic variables? Sample = 42 subjects. what are the dependent and indepedent variables? what can be the framework in this type of study?

Answer 1

Answer to the question)

There are two groups, they are compared for the variable "level of knoweldge"

There are 40 close ended questions to evaluate the knowledge level.

A T Test can help analyze the means of the two independent groups

It will let us know if the mean knowledge level of the two groups is significantly different or not

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F test is use to compare the variances of the two groups. So it will actually tell us which group has more or less the same knowledge level.

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The test of normality does not help in comparing the two groups. It simply tells us if each of the group knowledge levels are normally distribution. Normal distribution of knowledge level implies that very few people would be there who know nothing or know everything and majority of the people would be those who have average knowledge levels.

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Descriptive statistics: helsp to give an idea about the spread of the data, the range of knowledge level, the different measures of central tendency. It helps compare the overall groups scores in terms of mean and deviation as well.

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The dependent variable here is the group, and the independent variable is knowledge level

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The best framework for this study is conduct a two sample T test

If there are total 42 subject, they must be randomly assigned to two different groups and made to answer the questionnaire.