Research Process
Research Methods
Data Collection Methods
100

True or False: A problem needs to be identified first in order for researchers to establish a research question.

False

100

Identifies select process and analyze information regarding a specific topic

research methodology
100

What are the two main types of collection methods in research?

Qualitative and quantitative methods.

200

True or False: Steps in the research process have to be followed in chronological order. 

False
200

Why is your "so what" important?

helps you discover research topics you are passionate about

200

What does quantitative method focus on?

Quantitative methods focuses on counts and measures relating to numbers

300

What step involves obtaining information to summarize the topic related to a research question?

Literature review

300

How is research methods related to public health?

confirming what is already know and identifying what has yet to be discovered
300

What does qualitative methods focus on?

Qualitative methods focuses on descriptive data, involving words and language. 

400

There is no relationship between work-related stress among clinicians and their
mental health. Is this a null hypothesis or alternative hypothesis?

null hypothesis

400

What 3 groups benefit from research methodology?

1. Researchers

2. Policymakers/Stakeholders

3. Members of the Community


400

What is the purpose of bivariate analysis in data collection?

Bivariate analysis is used to compare the association between two variables in a study.

500

After completing the research process, what are the last two important steps?

1. Disseminate findings with the community

2. Discuss next steps with your research team

500

Research methodology answers 2 basic questions

1. How was the data collected?

2. How was it analyzed?

500

What is the significance of developing codes based on frequent themes observed from data in qualitative research?

It helps to organize and analyze qualitative data systematically. It allows researchers to identify patterns and trends within the data.