Developing Research Hypotheses: Step by Step Guide

Selecting the right statistical tool is not important for accurate results.

After statistical analysis, one must evaluate the results in the context of the alternative hypothesis.

Developing a hypothesis starts with asking a research question.

The quality of data collected has no impact on the credibility of study outcomes.

During research discussion, it is important to mention any limits of the study and propose ideas for future research.

Initial answer to a research question should not be based on existing knowledge about the topic.

Constructing a conceptual framework at the beginning of research helps in identifying variables and their relationships.

Operationalizing complex constructs is not necessary in the research process.

A hypothesis should be vague and unspecific to allow for various interpretations.

Phrasing a hypothesis in 'if...then' form helps in identifying the independent and dependent variables.

Hypotheses in academic research are commonly phrased in terms of causation.

Writing three different versions of a hypothesis helps in identifying potential outcomes of the research.

The null hypothesis states that there is no association between the variables.

The alternative hypothesis is written as H0 in statistical hypothesis testing.

Increasing apple consumption in over-60s will have no effect on the frequency of doctor's visits.

Low-cost and premium airlines are equally likely to have delays.

Employees who work fixed hours will report greater job satisfaction than employees with flexible working hours.

The number of lectures attended by first-year students has a positive effect on their final exam scores according to the null hypothesis.

Identifying the research problem is the first step in developing a research hypothesis.

Conducting a literature review is not necessary when developing a research hypothesis.

Developing and testing a hypothesis should be done before conducting a literature review.

Research questions should be vague and broad to cover various aspects of the topic.

Variables are the factors that you will study and manipulate to test your hypothesis.

The independent variable in a research design is the one being studied for its potential impact.

High school students who received sex education have lower rates of unplanned pregnancy compared to those who did not receive any sex education.

Daily use of social media has a negative impact on the attention span of under-16s.

High school sex education has no effect on teen pregnancy rates.

There is a negative correlation between time spent on social media and attention span in under-16s.

Hypothesis testing is a formal procedure used by scientists to test specific predictions that arise from theories.

In hypothesis testing, the final step is to collect data in a way designed to test the hypothesis.