This module describes quantitative data and examines common methods of data collection in quantitative studies.
Define quantitative data and its characteristics. Explain the difference between discrete and continuous data. List examples of quantitative data.
|Overview of Qualitative And Quantitative Data Collection Methods||But information is not something that is handed to anyone on a silver platter.|
|Quantitative Data - Center for Innovation in Research and Teaching||Quantitative and Qualitative Data collection methods The Quantitative data collection methods, rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize, compare, and generalize.|
|DATA COLLECTION METHODS||Quantitative and Qualitative Data collection methods The Quantitative data collection methods, rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories.|
|Quantitative and Qualitative Data collection methods||
Describe common methods of quantitative data collection. Quantitative data is data that can be counted or expressed numerically. Because it is numerical in nature, quantitative data is both definitive and objective. It also lends itself to statistical analysis and mathematical computations and therefore, is typically illustrated in charts or graphs.
There are two main types of quantitative data: Discrete data is described as having a finite number of possible values. For example, if a teacher gives an exam that has questions, the exam scores reflect the number of answers that were correct out of the possible questions.
Discrete data may also be defined as data where there is space between values on a number line, thus values must be a whole number. For example, if a study examined the number of vehicles owned by households in America, the data collected would be whole numbers.
Continuous data is defined as data where the values fall on a continuum and it is possible to have fractions or decimals. Continuous data is usually a physical measurement.
Examples may include measurements of height, age, or distance.
Quantitative data collection may include ANY method that will result in numerical values. Common examples of quantitative data collection strategies may include: The advantage of collecting quantitative data is that the numerical outcomes result in data that can be statistically analyzed that may be viewed as credible and useful in decision-making.
However, the disadvantage of quantitative data is that it may be superficial and fail to fully capture explanatory information. The following video, Quantitative vs.
Qualitative Data, defines quantitative data, discusses the types of quantitative data and describes how the data can be analyzed. Quantitative data analysis for social scientists rev. Planning, conducting, and evaluating quantitative. Qualitative, quantitative, and mixed methods approaches.
Measurement scales and statistics: Resurgence of an old misconception. Basics of social research.Quantitative research methods describe and measure the level of occurrences on the basis of numbers and calculations.
Moreover, the questions of “how many?” and “how often?” are often asked in quantitative studies. Accordingly, quantitative data collection methods are based on numbers and. COLLECTION METHODS 5.
DATA COLLECTION METHODS: SOME TIPS AND COMPARISONS In the previous chapter, we identified two broad types of evaluation supervision to yield trustworthy data. Some quantitative research methods can be mastered easily with the help of simple training manuals;.
Quantitative research is mostly conducted in social sciences using the statistical methods used above to collect quantitative data from the research study. In this research method, researchers and statisticians deploy mathematical frameworks and theories that pertain to the quantity under question.
Data Colection – Quantitative Research – This resources provides links to information relating to a variety of ways to collect quantitative data. Qualitative and Quantitative Data Collection Methods - The link below provides specific example of instruments and methods used to collect quantitative data.
The purpose of this page is to describe important data collection methods used in Research.. Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Quantitative Data Collection Methods Data can be readily quantified and generated into numerical form, which will then be converted and processed into useful information mathematically.
The result is often in the form of statistics that is meaningful and, therefore, useful.