Quantilative is where quantitative and qualitative data start to blur. You can ask a question in a quantitative fashion (survey question) but if you have a small sample size, then you need to interpret the data qualitatively (e.g., few, some, most) as opposed to quantitatively (e.g., 10%). it can go the other way as well. If you have a qualitative exercise (e.g., highlighter exercise) that you deploy to a large sample size, you can interpret that data quantitatively (e.g., % who selected a certain area of the image).
There are a number of ways to describe a research design. For example, a study may be either quantitative or qualitative, depending on the type of data that is collected and the degree of mathematical rigor to which it is subjected. A qualitative study generally consists of literature surveys and experience surveys. A literature survey is simply a search through available journals, newspapers, magazines, documents and other publications. This is usually a good place to begin your research. After all, if someone has already researched your question then it doesn't make sense to reinvent the wheel. The experience survey is comprised of interviews of people who are experienced in the area that you are researching. These types of interviews are generally informal and unstructured, but researchers often develop a set of questions to use as a guide. It is to your advantage to keep the interviews unstructured in order to allow the expert to elaborate their ideas and opinions. It's likely that this type of interview will generate more questions than answers. Quantitative studies provide numerical data that is used to describe your research topic. If you are conducting marketing research, you might be asked to describe characteristics of typical users of a product. Some quantitative data that you might consider collecting include age, sex and level of education. Other examples of quantitative data include the percentage of people who can recognize your logo. For other examples of quantitative research data that is used in marketing, please visit http://www.themarketinganalysts.com/en/pages/analytical-predictive-marketing-research.
The leading questions in a sample survey is the purpose of the survey and the expectations of the interviewees.
Statistics: Survey of an entire population, as opposed to a sample survey.
A sample survey is quicker and cheaper. If the survey is well designed then the results are likely to be close to their true values.
A survey may be both a qualitative or quantitative because it depends on the question you construct it. They may be qualitative (when you expect a answer by words ) or a quantitative (when you expect a answer by numbers)
For example, in qualitative research you resort to a case study approach, while in quantitative research you may resort to survey method. Quantitative research largely deals with volumes of data collected from primary or secondary sources. Qualitative research will focus on descriptions, contents, views, perspectives and its analysis.
quantitative market research (survey), qualitative market research (focus group, interviews, etc.)
Quantitative, if you're counting the numbers of males and females for any survey or question. It is qualitive if you are using it in the context "Jim is a male." That doesn't tell you how many. Instead it tells you what.
Qualitative measures can include interviews, observations, focus groups, and open-ended survey questions. These methods provide insights into attitudes, behaviors, and experiences that cannot be captured by quantitative data alone.
Quantitative observation describes number value while qualitative observation describes something specific without using numbers.
Assessing knowledge and practice in a cross-sectional survey is typically quantitative. This approach involves collecting numerical data through standardized questions to quantify the extent of knowledge and practice within a population at a specific point in time. Qualitative methods, on the other hand, focus on understanding experiences and meanings through non-numeric data such as open-ended responses or observations.
The difference between quantitative and qualitative observation is that a quantitative observation deals with numbers and qualitative observation deals with your sense's on like how something looks or the color that it has.
Quantitative research entails collecting and generating numerical data while qualitative research entails the generation of non-numerical data. Survey, questionnaires and measurements using various tools are common in quantitative research. Qualitative research often relies on verbal and theoretical data rather than measurements. Both research designs are used in the analysis and interpretation of a research topic.
qualitative data
Tools commonly used for quantitative observations include measuring instruments such as rulers, tape measures, thermometers, balances, and timers. Additionally, data collection devices like sensors and data loggers are used to collect precise numerical data for quantitative analysis.
Cross-sectional study can be either qualitative or quantitative or mix method, Cross-sectional surveys are used to gather information on a population at a single point in time. An example of a cross sectional survey would be a questionaire that collects data on how parents feel about Internet filtering, as of March of 1999. A different cross-sectional survey questionnaire might try to determine the relationship between two factors, like religiousness of parents and views on Internet filtering.Takes place at a single point in timeDoes not involve manipulating variablesAllows researchers to look at numerous things at once (age, income, gender)Often used to look at the prevalence of something in a given population.Hassan Elkatawnehحسان القطاونه