Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results. A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained. An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables. Show
Introduction The introduction to a quantitative study is usually written in the present tense and from the third person point of view. It covers the following information:
Methodology The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem. The methods section should be presented in the past tense.
Results The finding of your study should be written objectively and in a succinct and precise format. In quantitative studies, it is common to use graphs, tables, charts, and other non-textual elements to help the reader understand the data. 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. Further information about how to effectively present data using charts and graphs can be found here.
Discussion Discussions should be analytic, logical, and comprehensive. The discussion should meld together your findings in relation to those identified in the literature review, and placed within the context of the theoretical framework underpinning the study. The discussion should be presented in the present tense.
Conclusion End your study by to summarizing the topic and provide a final comment and assessment of the study.
Black, Thomas R. Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics. London: Sage, 1999; Gay,L. R. and Peter Airasain. Educational Research: Competencies for Analysis and Applications. 7th edition. Upper Saddle River, NJ: Merril Prentice Hall, 2003; Hector, Anestine. An Overview of Quantitative Research in Composition and TESOL. Department of English, Indiana University of Pennsylvania; Hopkins, Will G. “Quantitative Research Design.” Sportscience 4, 1 (2000); "A Strategy for Writing Up Research Results. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper." Department of Biology. Bates College; Nenty, H. Johnson. "Writing a Quantitative Research Thesis." International Journal of Educational Science 1 (2009): 19-32; Ouyang, Ronghua (John). Basic Inquiry of Quantitative Research. Kennesaw State University. Which describes the characteristics of research where data are in a form of statistics?Descriptive statistics are used to describe the basic features of the data in a study.
Which of the following describes the characteristics of research where data are in form of statistics objective B numerical data C replication D large sample size?The correct answer is Option B, Numerical Data
The rest of the other options also are the characteristics of research where data are in form of statistics but it more emphasizes quantitative and numerical data.
Which of the following is a characteristics of research?Systematic - follows orderly and sequential procedure. Controlled - all variables except those that are tested/experimented upon are kept constant. Objective, Unbiased, & Logical - all findings are logically based on empirical.
Which characteristic of research is shown when all the data information is correct?Accuracy. As the name implies, this data quality characteristic means that information is correct. To determine whether data is accurate or not, ask yourself if the information reflects a real-world situation.
|