Discussion of implications — what is the meaning of your results. Sophisticated software removes much of the need for prolonged data analysis, especially with large volumes of data involved Antonius, Quantitative data can be interpreted with statistical analysis, and since statistics are based on the principles of mathematics, the quantitative approach is viewed as scientifically objective, and rational Carr, ; Denscombe, Quantitative experiments do not take place in natural settings.
How have the results helped fill gaps in understanding the research problem. Things to keep in mind when reporting the results of a study using quantitative methods: Of course, you could choose to restructure the question above so that you do not have to split the dependent variable into two parts.
Sometimes, the dependent variable needs to be broken into two parts around the group s you are interested in so that the research question flows. Again, the name of this dependent variable makes it easy for us to understand that we are trying to measure the often i. Theory is data driven, and emerges as part of the research process, evolving from the data as they are collected.
Methodology The methods section of a quantitative study should describe how each objective of your study will be achieved. THIRD Identify the group s you are interested in All descriptive research questions have at least one group, but can have multiple groups.
Doing quantitative research in the social sciences: This allows the researcher to find issues that are often missed such as subtleties and complexities by the scientific, more positivistic inquiries.
Data Analysis Statistics help us turn quantitative data into useful information to help with decision making. In addition, they do not allow participants to explain their choices or the meaning of the questions may have for those participants Carr, Methods used to obtain quantitative data Experiments typically yield quantitative data, as they are concerned with measuring things.
An integrated approach to research design, measurement and statistics. The results are based on larger sample sizes that are representative of the population. The design of the study evolves during the research, and can be adjusted or changed as it progresses.
Quantitatie and Qualitative Approaches. In the first example, the research question is not simply interested in the daily calorific intake of American men and women, but what percentage of these American men and women exceeded their daily calorific allowance. Group 1st; dependent variable 2nd: In the examples below, we have illustrated the name of the dependent variable and highlighted how it would be written out in the blue text.
How often do British university students use Facebook each week. Qualitative researchers want those who are studied to speak for themselves, to provide their perspectives in words and other actions. The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed.
Hypotheses can also be tested because of the used of statistical analysis Antonius, FOURTH Decide whether the dependent variable or group s should be included first, last or in two parts Sometimes it makes more sense for the dependent variable to appear before the group s you are interested in, but sometimes it is the opposite way around.
Often they must learn to construct and reference their own tables or graphs. When deciding whether the dependent variable or group s should be included first or last, and whether the dependent variable should be broken into two parts, the main thing you need to think about is flow: Thus, people and groups, are studied in their natural setting.
Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made.
Generally the script for a predictive question follows this formula: Therefore, when you think about constructing your descriptive research question, make sure you have included any words that provide greater context to your question.
Among the specific strengths of using quantitative methods to study social science research problems: FIFTH Include any words that provide greater context to your question Sometimes the name of the dependent variable provides all the explanation we need to know what we are trying to measure.
Genre, audience and purpose - Good writing assignments include a rhetorical context for authors: The contexts of inquiry are not contrived; they are natural.
Interpreting quantitative data with SPSS. The Good Research Guide: Quantitative data is more efficient and able to test hypotheses, but may miss contextual detail; Uses a static and rigid approach and so employs an inflexible process of discovery; The development of standard questions by researchers can lead to "structural bias" and false representation, where the data actually reflects the view of the researcher instead of the participating subject; Results provide less detail on behavior, attitudes, and motivation; Researcher may collect a much narrower and sometimes superficial dataset; Results are limited as they provide numerical descriptions rather than detailed narrative and generally provide less elaborate accounts of human perception; The research is often carried out in an unnatural, artificial environment so that a level of control can be applied to the exercise.
Always tell the reader what to look for in tables and figures. Writing Good Quantitative Research Questions Posted on October 19, by Gavin Davie Note: this is an excerpt from How to Write a.
The type of quantitative research question that you use in your dissertation (i.e., descriptive, comparative and/or relationship-based) needs to be reflected in the way that you write out the research question; that is, the word choice and phrasing that you use when constructing a research question tells the reader whether it is a descriptive.
Jun 12, · Reader Approved How to Develop a Questionnaire for Research. Three Parts: Designing Your Questionnaire Writing your questionnaire Distributing Your Questionnaire Community Q&A A questionnaire is a technique for collecting data in which a respondent provides answers to a series of questions.
To develop a questionnaire 91%(). Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
Quantitative research focuses on gathering. Formulating a quantitative research question can often be a difficult task.
When composing a research question, a researcher needs to determine if they want to describe data, compare differences among groups, assess a relationship, or determine if a set of variables predict another variable.
Here’s how we’re sharing the basics of writing a simple questionnaire that can become a valuable quantitative research tool. Work as a Partner. Align your research theme with your client’s overall business objectives so outcomes will complement the communications strategy.Writing a quantitative research questionnaire