What refers to the characteristic or attribute that can be measured or observed in a study?
Anything that is observed or conceptualized falls under the purview of data. In a somewhat restricted view, data is something that can be measured. Data represent facts or something that has actually taken place, observed and measured. Data may come out of passive observation or
active collection. Each data point must be rooted in a physical, demographical or behavioral phenomenon must be unambiguous and measurable. Data is observed in each unit under study and stored in an electronic device. Datadenotes a collection of objects and their attributes Attribute(feature, variable, or field) is a property or characteristic of an object Collection of Attributesdescribe an object
(individual, entity, case, or record) Often these attributes are referred to as variables. Attributes contain information regarding each unit of observation. Depending on how many different types of information are collected from each unit, the data may be univariate, bivariate or multivariate. Data can have varied forms and structures but in one criterion they are all the same – data contains information and characteristics that separate one unit or observation from the others. NominalQualitative variables that do not have a natural order, e.g. Hair color, Religion, Residence zipcode of a student OrdinalQualitative variables that have a natural order, e.g. Grades, Rating of a service rendered on a scale of 1-5 (1 is terrible and 5 is excellent), Street numbers in New York City IntervalMeasurements where the difference between two values is meaningful, e.g.
Calendar dates, Temperature in Celsius or Fahrenheit RatioMeasurements where both difference and ratio are meaningful, e.g. Temperature in Kelvin, Length, Counts In the hierarchy of
data, nominal is at the lowermost rank as it carries the least information. The highest type of data is ratio since it contains the maximum possible information. While analyzing the data, it has to be noted that procedures applicable to a lower data type can be applied for a higher one, but the reverse is not true. Analysis procedure for nominal data can be applied to interval type data, but it is not recommended since such a procedure completely ignores the amount of information an interval
type data carries. But the procedures developed for interval or even ratio type data cannot be applied to nominal nor to ordinal data. A prudent analyst should recognize each data type and then decide on the methods applicable.
Types of Sampling Methods - probability & non-probability
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Return to calendar/assignments What are the attributes in a research study?Attributes refer to the characteristics of the item under study, like the habit of smoking, or drinking. So 'smoking' and 'drinking' both refer to the example of an attribute. The researcher should note that the techniques involve statistical knowledge and are used at a wider extent in the theory of attributes.
What do we call the characteristic of the individual to be measured or observed?A variable is the characteristic of the individual to be measured or observed. For example, if we want to do a study about the people who have climbed Mt. Everest, then the individuals in the study are the actual people who made it to the top.
What is a measure that defines a characteristic of a sample known as?A statistic is a numerical measurement describing some characteristic of a sample.
What is an attribute measure?The attributes we measure come in two main types, quantitative and categorical. Quantitative attributes are attributes we measure using numbers. For example, your height is a quantitative attribute. On the other hand, a categorical attribute is something measured without using numbers.
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