Wiki Page, STEM | 12K | Research 1 | Practical Research 1: 2.5 Quantitative vs. Qualitative

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2021-09-24T13:47:00+08:00

Differences between Quantitative and Qualitative Research Designs

Qualitative | Quantitative
The aim is a complete detailed description of the topic | The aim is an accurate, reliable explanation by counting and classifying features and constructing statistical models and figures to explain what is observed.
Exploratory type of research | Conclusive type of research
To gain an understanding of underlying reasons and motivations | To quantify data and generalize results from a sample to the population of interest
To uncover prevalent trends in thought and opinion | To measure the incidence of various views and opinions in a chosen sample
Used when the researcher has no, or very little idea of what he/she is looking for. | Used when the researcher knows clearly in advance what he/she is looking for.
Used during earlier phases of research projects to provide insights into the setting of a problem, generating ideas and/or hypotheses for later quantitative research. | Sometimes followed by qualitative research which is used during latter phases of research projects for further explorations.
The design starts out quite loose and emerges as the study unfolds. | All aspects of the study are carefully designed before data is collected.

Qualitative | Quantitative

The researcher is the data gathering instrument.

Data-gathering strategies include individual in-depth interviews, structured and non-structured interviews, focus groups, narratives, content or documentary analysis, participant observation, and archival research.

The researcher uses tools, such as questionnaires, surveys, measurements, and other equipment to collect measurable or numerical data.

Data is in the form of words, images, or objects. | Data is in the form of numbers, statistics, and measurements.
Non-statistical. | Statistical data is usually in the form of tabulations (tabs). Findings are conclusive and usually descriptive in nature.
Qualitative data is more 'rich, time consuming, and less able to be generalized. | Quantitative data is more efficient, able to test hypotheses but may miss contextual detail.
Subjective - Results may be influenced by the researcher. | Objective - seeks precise measurement & analysis of target concepts
Usually a small number of non-representative cases. Respondents were selected to fulfill a given quota. | Usually a large number of cases representing the population of interest. Randomly selected respondents.

Exploratory and/or investigative. Findings are not conclusive and cannot be used to make generalizations about the population of interest. Develop an initial understanding and sound base for further decision-making.

Used to recommend a final course of action.

With the world and studies being complex, picking the right research topic can be tricky. In order for you to write a good and intriguing research paper, your choice of topic must be in your field of interest. In addition to choosing an engaging topic, your research topics related to your field of interest must be well-researched and backed up with facts, so that it grabs the attention of the reader. This is why so many students struggle or get nervous when it comes to the choice of topic. Below you will find a couple of popular research paper ideas, that would make an interesting topic if researched and presented properly.

Accountancy, Business Management (ABM)

1. Challenges of Small Enterprises

2. Business Leadership

3. Comparative of business ethics

4. Regulation of Workplace Diversity

5. The Word of Mouth Power in the Digital Era

6. Franchising VS Opening Your Own Business

7. Is Internet Advertising the Most Popular Means of Advertising

8. The Effect of Advertisement on Consumer Behavior

Humanities and Social Sciences (HUMSS)

1. What is the perception of aging in different cultures?

2. Ambient awareness and its connection to social media

3. What kind of people tend to form cliques in high school?

4. Mass media and fear of missing out: Millennials can’t live without updates

5. Does reading more books make people more or less social?

6. How do life values progress with the development of personality?

7. The most difficult ethical questions in the field of health care

8. Mind philosophy and the issues with dualism

Science, Technology, Engineering, and Mathematics (STEM)

1. DNA Fingerprinting

2. Ethics & Genetics

3. Humans & Wildlife

4. Malnutrition

5. Psychology of Plastic Surgery

6. Vaccines

7. Lying with Numbers

Hospitality and Tourism Management (HTM)

1. How to give hospitality to the clients of the organization: An Excellent Customer Service Approach

2. Role of the human resource management team towards the employees in giving hospitality services

3. How customer satisfaction through hospitality services

4. Effectiveness of Tourism Activities

5. Waste Management of Hotel and Restaurant Services

Information and Computer Technology (ICT)

1. Artificial Intelligence in Our Daily Life

2. AI in Medicine and Healthcare

3. Medical Applications and Their Safety

4. Kids and Internet: Should We Restrict Their Time Spent Online?

5. How Risky Digital Voting Is?

6. Augmented Reality: A New Way of Online Shopping