Statistics and research methodology
Us: 727-442-4290blogabout | academic solutions | academic research resources | dissertation consulting | dissertation consulting services | research scientific method—i. Specifically, in order to faithfully replicate your study, other researchers must know the who, what, where, when, and how of your study. In short, a methodology provides a blueprint for other researchers to follow, allowing them to conduct their own study while using your method to arrive at similar findings. The following excerpts provide a brief overview of how the two approaches to methodology formation differ.
Research the design and rationale of a quantitative study requires a written section, the nuts and bolts of the quantitative method consists of describing the participants in the study, the instruments used, the procedure used to administer the instruments to the participants, and the treatment of the data, or the data analysis plan. In the sampling procedure, the researcher must describe the process used to select participants from the population. In the instrument section, the researcher must cite the reliability and validity of the instrument used, typically from previous research studies that have used the instrument. Of course, the researcher must also base their sample size—typically much larger than in qualitative studies—on the statistical tests selected in the data analysis plan.
Furthermore, the researcher details in the data analysis plan any pre-analysis data screening, reliability of the scales, and the assumptions that will be tested for based upon the specific statistical analyses chosen. Lastly, ethical procedures include informed consent, data storage, and other ative research ch design and rationale is the how and why of data collection and analysis in qualitative approaches (yin, 2009). As such, the researcher plays an integral part when it comes to qualitative research methodology design. Specifically, how the samples are selected, including final selection of sample sizes used, and how the data are collected are all parts of the methodology.
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Ethical procedures, ramifications for choices that are made, the well-being of participants, and any risks to participants are described here, , if you’d like personalized help with developing your methodology—because the above descriptions outline a rather generic approach—feel free to fill out the contact request form and one of our dissertation specialists will be in touch for a free 30-minute consultation. Program al psychology ce learning and , podcasts, and or donate to utional dual spn ements of the usage ch methods and statistics links by below are links related to research methodology, human and animal research ethics, statistics, data analysis, and more. Tips and tools:Apa style, writing, and publication ch methodology:Measurement and ch ethics and institutional review:Ethical codes of professional tics and data analysis:Data sharing and , technologies, and statistics statistical onal statistics sional ch tips and tools for research in y research in psychology: finding it easily (from the apa). Ethics and institutional for human research of laboratory animal responsibility in medicine and research (prim&r).
For the accreditation of human research protection guidelines for ethical conduct in the care and use of guidelines (canadian council on animal care). On the phs policy on humane care and use of benefits and ethics of animal research (from scientific american). Council on measurement in al association of an statistical d measurement in d psychological or research methods (psychonomic society). Journal of mathematical and statistical ional and psychological l of educational and behavioral l of statistics ariate behavioral zational research logical assessment (apa journal).
The iv is and the dv is the amount of some experiments go are a number of events that can occur before, after an experiment that can have a negative impact on logical research study. Utility - we use statistics to determine the differences in the dv are large enough so we are are not due to chance. Descriptive statistics - these do not tell us probability but only allow us to take a large amount and put it in some understandable form. Inferential statistics - these are the tests to determine if groups differ significantly, that is, chance.