All research is quantitative, because anything can be counted - even purely verbal responses, perhaps after sorting comments into similar groups. All research is qualitative, because answers to even the firmest numeric questions may conceal a variety of meanings. So the real difference between qualitative and quantitative is not so much the method, but the researcher's approach.
It is important to identify whether the data are quantitative or qualitative as this affects the statistics that can be produced. The number of times an observation occurs frequency for a data item variable can be shown for both quantitative and qualitative data. The graphs below arrange the quantitative and qualitative data to show the frequency distribution of the data.
Quantitative Data Qualitative Data As absolute frequencies can be calculated on quantitative and qualitative data, relative frequencies can also be produced, such as percentages, proportions, rates and ratios.
Statistics that describe or summarise can be produced for quantitative data and to a lesser extent for qualitative data. Qualitative quantitative quantitative data are always numeric they can be ordered, added together, and the frequency of an observation can be counted.
Therefore, all descriptive statistics can be calculated using quantitative data. As qualitative data represent individual mutually exclusive categories, the descriptive statistics that can be calculated are limited, as many of these techniques require numeric values which can be logically ordered from lowest to highest and which express a count.
Mode can be calculated, as it it the most frequency observed value. Medianmeasures of shapemeasures of spread such as the range and interquartile range require an ordered data set with a logical low-end value and high-end value. Variance and standard deviation require the mean to be calculated, which is not appropriate for categorical variables as they have no numerical value.
By making inferences about quantitative data from a sample, estimates or projections for the total population can be produced. Quantitative data can be used to inform broader understandings of a population, or to consider how that population may change or progress into the future.
For example, a simple income projection for an employee in may be inferred from the rate of change for data collected in, and Qualitative data are not compatible with inferential statistics as all techniques are based on numeric values.10/12/12 QUALITATIVE VERSUS QUANTITATIVE RESEARCH.
Criteria Qualitative Research Quantitative Research Purpose To understand & interpret social interactions. To test hypotheses, look at cause & effect. These are proteins that precipitate from blood at low temperatures. A precipitate from serum that forms overnight at 4°C and dissolves at 37°C is called a cryoglobulin.
Qualitative: Quantitative: Definitions: a systematic subjective approach used to describe life experiences and give them meaning: a formal, objective, systematic process for .
Qualitative Research Quantitative Research; Objective / purpose: To gain an understanding of underlying reasons and motivations; To provide insights into the setting of a problem, generating ideas and/or hypotheses for later quantitative research.
There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers.
Some examples of quantitative data are your height, your shoe size, and the length of your fingernails. This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The digit and digit formats both work.