Four Types of Measurement Scales

2. Based on the scale of measurement for each variable listed below, which measure of central tendency is most appropriate for describing the data?

1. A Likert scale (/ˈlɪkərt/[1]) is a psychometric scale commonly involved in research that employs questionnaires. It is the most widely used approach to scaling responses in survey research, such that the term is often used interchangeably with rating scale, or more accurately the Likert-type scale. One of the most common scale types is a Likert scale. A Likert scale is commonly used to measure attitudes, knowledge, perceptions, values, and behavioral changes. A Likert-type scale involves a series of statements that respondents may choose from in order to rate their responses to evaluative questions

Refer as needed to the material in Chapters 12 and 13 of the textbook. Keep the following tips in mind as you research data, as well as organize, analyze, interpret, and illustrate these data:

a. Nominal: This is a measurement that has a number assigned to show something or someone else, an example of this would be one’s social security number.

A scale conversion is calculated and the measurements from each thermometer are examined to see how closely correlated they are. _M___

The data were analyzed by using the participants’ responses to the survey questions compared to DAP indicators and the total of the subscale of the E-TIP.

Interval-Level: Indicates the levels between categories, ranks them and specifies the amount between each rank; does not have a true zero (Ex: IQ

Nominal data is the most basic level of measurement. It is also known as categorical. The numbers do not imply an order. Basically nominal data is used for frequency and the only number property of the nominal scale of measurement is identity. An everyday example of the use of nominal data would be classifying people according to gender is a common application of the nominal scale. When you first meet someone, an observation is generally made on the specific gender of the person you are meeting for the first time.

“1. The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental)”

Without designed or determined variables, a research cannot be conducted. As denoted in Meyers et al. (2013) “As a rather conceptual but important characterization, a variable is an obstruction or construct that can take on different values.” The values of variables could be numbers expressing quantitative meaning (Meyers et al., 2012). “Quantitative” relates to numerical values, it may also justify the weight or variability of any population; it also can be anything represented by numerical values. Some values may be represented by names of people or animals. Such values are used to determine “qualitative” or categorical differences between cases (Meyers et al., 2013). In terms of measurement, I have apprehended that there are five scales of measurements. There are as follows: Ordinal, Nominal, Summative response, Interval, and Ratio scales (GCU, 2012). From the PSYC 845, I have also recall of learning about the ANOVA research design. As noted by Santayana (2011): “Measurement is at the core of doing

13. Distinguish between quantitative and qualitative data. Which type would be presented in a data

Determine which level of measurement— nominal, ordinal, interval, or ratio—is used in the following examples.

The following are examples of nominal, ordinal, interval and ratio levels variables with explanations of why. Examples of nominal level data would include different medications classifications such as ACE or ARB inhibitors, hypoglycemic agents, neuroleptics, antibiotics, etc. They are considered nominal because they cannot be placed in an order different categories, there is no measureable distance between them and there is no relationship in list order (Marateb, et al., 2014). An example of ordinal level data would include Likert-type scale variables, pain level scales, or social status. They are considered ordinal because they indicate a direction as well as provide nominal information (Marateb, et al., 2014). Interval level data examples

4. What measurement scales would you have used on the survey that was part of the in-restaurant product tests?

The objective of this chapter is to describe the procedures used in the analysis of the data and present the main findings. It also presents the different tests performed to help choose the appropriate model for the study. The chapter concludes by providing thorough statistical interpretation of the findings.