Northcentral University Library. (2019). NU Dissertation center [Web resource]. Northcentral University. https://commons.ncu.edu/group/33456/pages/research This site provides helpful information about developing a hypothesis to support a research problem and purpose.
Muijs, D. (2011). Experimental and quasi-experimental research. In Muijs, D. Doing quantitative research in education with SPSS (pp. 11-29). London: SAGE Publications Ltd doi: 10.4135/9781849203241 In this section (2.2.2) from the SPSS manual, you will find examples of how to write hypotheses.
Allen, M. (2017). The sage encyclopedia of communication research methods (Vols. 1-4, pp. 674-677). SAGE Publications, Inc. doi: 10.4135/9781483381411 This encyclopedia entry discusses what a hypothesis is and the various types of hypotheses.
King Ph.D., G. (Academic). (2017). The big deal about big data: A lecture by Gary King [Streaming video]. Retrieved from SAGE Research Methods. This video is important as it discusses the impact that big data has on research and how it is carried out.
Lawler, I., & Zimmermann, G. (2019). Misalignment between research hypotheses and statistical hypotheses: A threat to evidence-based medicine? Topoi: An International Review of Philosophy, 1. https://doi-org.proxy1.ncu.edu/10.1007/s11245-019-09667-0 A paper that highlights the importance of having your research hypotheses and statistical hypotheses going in the same direction.
Sil, A., Betkerur, J., & Das, N. (2019). P-Value demystified. Indian Dermatology Online Journal. 10(6), 745. If you need a refresher on what a p-value is and what it means, this paper is for you.
Hazra, A., & Gogtay, N. (2016). Biostatistics series module 2: Overview of hypothesis testing. Indian Journal of Dermatology, 61(2), 137–145. https://doi-org.proxy1.ncu.edu/10.4103/0019-5154.177775 This paper presents the basics of hypothesis testing.
