Measuring The Respondent's Age At Last Birthday

In this case, the independent variable is the gender and the dependent variable is the

The first eight questions pertain to each participant’s personal information (e.g. age, gender, race, etc.) as well as their lifestyles (e.g. activity level, employment, etc.). The next question determines whether or not the participant will answer the next four questions or skip down to question thirteen and fourteen. This style of questionnaire is referred to as branching questionnaire and allows for the questionnaire respondent to move through the questions a different way depending on their answer

The independent variable is married status (single vs. divorced vs. married); the dependent variable is happiness measured on a scale from 1 to 50. This situation is inappropriate—there are more than 2 groups

Ann wants to describe the demographic characteristics of a sample of 25 individuals who completed a large-scale survey. She has demographic data on the participants’ gender (two categories), educational level (four categories), marital status (three categories), and community population size (eight categories).

Gender – whether there was a difference in performance between genders; used for comparison between male and female participants

The degree to which a construct is expressed by an individual is assessed through the use of variables. Variables are presented on 5 levels of measurement which are nominal scales, two types of ordinal scales, interval scales, and ratio scales. The variable are organized from least mathematically precise to the most precise. When using a nominal scales numbers are represented as names only, such as gender, blood group or psychiatric disorder. This type of data can only be used for counting. Ordinal scale type I includes data that exist in a rank order , is comparable between various scales and are not comprised of a mathematical system. Examples include horse race results, and US Army rankings. Ordinal scale type II include data that is averaged from an attitude/opinion scale such as movie rankings, grades, and opinion surveys.

The demographic characteristics entailed 52 statements and based off of a 5 point Likert-Type scale. 0 meaning “Not true to me at all” to 4 meaning “Extremely true to me” (). Five of the problems consisted of positive problem orientation, ten items were of negative problem orientation, twenty of the items consisted of rational problem solving, Impulsiveness/carelessness were ten of the items, and lastly seven of the items were avoidance style. (Eskin, Akyol, Yilmaz-Celik, Kadri-Gultekin, 2013, August, pp. 338) The demographic characteristics included questions about one’s “gender, age, civil status, children, number of children, work status, perceived family income, psychiatric family income, and education” (Eskin, Akyol, Yilmaz-Celik, Kadri-Gultekin, 2013, August, pp. 338-339).

The three variables each have their on unique aspect to them, but they are rather straight forward. Age and total family income are very concrete and definite answers given by a respondent, as the questions are straightforward. Should the government improve standard of living, on the other hand, is a little different. This variable, HELPPOOR, is based on attitude and must be though about a little more than the others. HELPPOOR is set up as a Likert scale. Using this scale, you determine where on the spectrum you

This section identifies and describes the traits of respondents which include age, sex, place of birth, occupation and the level of education.

These categories included questions such as age grouping, gender, and ethnicity. While data classification helps in clarifying information, one particular system does not fit all. For example, while the research team decided to classify the gathered data using demographics as a particular method, another research team may decide to classify in another way; no one method is right or wrong, but some methods are easier to understand than others. Along with questions to attain demographic identifiers, questions about what people think about their own insurance companies were obtained as well. The results of the demographic identifiers can be found in the Appendix, Figure 1A.

The variables that the survey will measure that could be considered quantitative are the questions asked in part 4.3, 4.4 and 4.5. Section 4.3 contains four questions, which means responses to these questions will all multiply together to create one variable. Section 4.3 will aim to understand how worried respondents are about particular crimes. Section 4.4 and 4.5 contain one question, which will correspond to a single variable. Section 4.4 will allow for an understanding of the level of confidence respondents have in local police. Whereas, section 4.5 will give us an overview of our survey respondents gender, allowing for an understanding of the spread of the sample population.

The purpose of the nominal scale is for identification and represents the lowest level of measurement. With a nominal scale, the researcher only names or categorizes responses (i.e. male/female, high/low, unemployed, employed, retired, student). Thus, nominal scale measures variables that are non-numeric or where the numbers have no value.

There are four measurement scales, or types of data, nominal, ordinal interval and ratio. These four measurements are simple ways to categorize different types of variables. This paper will discuss the usage of each scale.

Among a number of variables available in DB1B data, I have found few nominal and ordinal scale variables.

Multiple variables of data can be captured at a time as participants are required to provide detail information such as name, gender, address etc. while doing the survey.