See (essay) attachment and provide a separate response to both. Your responses to others need to be more extensive than “I agree.” What about what they said do you agree or disagree and why? Are t

1. The dependent variable I will be measuring is moral concern. For this study, moral concern is a matter of interest pertaining to right and wrong behavior and killing of animals. The research design is a comparative between-subjects and within-subjects pre-post design. The purpose of the study is to compare males and females on their level of moral concern for animals used for consumption. The pre-post aspect of the design will allow for the dependent variable to me measured twice, once before treatment, and once after. After both levels of moral concern have been measured for both categories, they will be compared for differences using a paired samples t-test.

According to Gliner & Leech (2009), the levels of measurement (e.g., nominal, dichotomous, ordinal, normal) are more useful than the traditional measurement terms used for the selection and interpretation of statistics. Nominal have three or more unordered categories (e.g., single = 1, Married = 2, divorce = 3). There is no order or level of higher value for each (p. 138). Dichotomous has only two levels or categories (e.g., male or female, yes or no). Ordinal has three or more ordered categories or levels, but the frequency distribution of the scores is not normally distributed. Normal refers to, many or at least five ordered levels or scores in which the frequency distribution of these scores are approximately normally distributed in the population from which the sample was selected (p. 139).

It is important to know the level of measurements for your data so you can interpret the data from that specific variable. Knowing will also help you choose the right type of statistical analysis to use. For example, if a measure is dichotomous, you know the variable does not need to be averaged out.

Reference

Gliner, J. A., Morgan, G. A., & Leech, N. L. (2009). Research methods in applied settings: An integrated approach to designated analysis (2nd ed.). New York, NY: Routledge.

2. My research proposal takes a qualitative approach collecting data on how parents of children with autism spectrum disorder feel about sexual education. I will be conducting one-on-one interviews to collect these opinions then looking for themes in the responses. While there is no dependent variable, the responses collected can be described as such.

Gliner, Morgan, and Leech (2009, p. 138) state nominal, dichotomous, ordinal, and normal are the four levels of measurement. A nominal measurement is one that assigns numbers to each category without these numbers assigning any order (Gliner, Morgan, & Leech, 2009, p. 138). Next is the dichotomous variable in which there are only two categories which though these can be either ordered or unordered (Gliner, Morgan, & Leech, 2009, p. 138). Third is the ordinal variable, which means they are ordered but “the frequency of the scores is not normally distributed” (Gliner, Morgan, & Leech, 2009, p. 138). Lastly, the normal variable is when there are many ordered levels which are mostly normally distributed (Gliner, Morgan, & Leech, 2009, p. 138).

It is important to know the level of measurement for data to find the best way to analyze that data. The data I will be collecting will be nominal with each theme being numbered without an order. They will be numbered to find which themes arise the most but the numbers will simply be categories of responses.

Reference

Gliner, J. A., Morgan, G. A., & Leech, N. L. J. (2009). Research methods in applied settings: An integrated approach to design and analysis. York, NY: Routledge.