Research Hypothesis What is the hypothesis that you are testing?

To help you, click on the icons below to look at the research question and hypothesis in the two examples we are using as guides.

A statistical hypothesis is an examination of a portion of a population.

Ethnographic Interviewing
A research method in which face-to-face interviews with respondents are conducted using open-ended questions to explore topics in great depth. Questions are often customized for each interview, and topics are generally probed extensively with follow-up questions.


An Example of How to Write a Hypothesis.

Make sure your hypothesis is testable with research and experimentation.

Evaluation Research
The use of scientific research methods to plan intervention programs, to monitor the implementation of new programs and the operation of existing programs, and to determine how effectively programs or clinical practices achieve their goals.


Start by understanding just what a hypothesis is

In 1979, Laurel Mellin began developing a treatment program for obesity (19–20), aimed at decreasing the drive to overeat; the program has since evolved into a method of training adults and children in the skills of self-regulation (19-21) called Emotional Brain Training (EBT). Over time, the method was informed by emerging neuroscience research in the areas of neuroplasticity, emotion research, stress biology and attachment theory. The neuroscience of rewiring self-regulation utilized by EBT is based on physiologic brain states of stress. The skills used to rewire the stress response are based on four core concepts enumerated below.

Do you need to have multiple hypotheses to construct research ..

If you wanted to conduct a study on the life expectancy of Savannians, you would want to examine every single resident of Savannah. This is not practical. Therefore, you would conduct your research using a statistical hypothesis, or a sample of the Savannian population.

In research, what is a construct?

Intriguingly, Perrett et al. found that when a new group of participants were asked to rate the attractiveness of each of the 3 composite faces (the average of all 60 faces, the average of the 15 most attractive faces and the ‘hyper-attractive’ that had exaggerated attractive qualities) the hyper-attractive face was considered the most attractive of the 3. This is noteworthy because the hyper attractive face was mathematically the least average of all 3 composites. Because the hyper-attractive face was the least average of the 3 composites judged, but also the most attractive, this finding is very strong evidence that averageness is not necessarily the critical determinant of facial attractiveness. In other words, Perrett et al's findings are evidence against the Averageness Hypothesis of facial attractiveness (which proposes that ‘attractive faces are only average’) because the findings show that highly attractive faces deviate systematically from an average shape.