Primary vs. Secondary Research Quiz

Study Notes

Primary Research is data collected directly by researchers for a specific study, often gathered from the source.
When choosing a primary data collection source, consider the research's aim and target population.
Secondary Research is data generated by sources outside the organization conducting the research, often reusable with little further processing.
Internal secondary data is generated within the organization conducting the research. Examples are information routinely supplied by the management decision support system and sales invoices.
External secondary data is generated by sources outside the organization conducting the research. Examples are published materials, database information, syndicated services, and marketing research information.
Quantitative Data includes observations, surveys, and experiments.
Qualitative Data includes interviews, focus groups, and ethnography.

Secondary data can be categorized based on source: internal or external.
Internal secondary data is generated within the organization conducting the research.
External secondary data sources include local authorities, governments, non-profit organizations, and commercial publishers.
Syndicated Services: These are marketing research firms that collect and sell common pools of data, designed to serve information needs of clients.
Published Materials: Materials that are easily accessible and ready-to-use, including marketing research information.
Databases: Databases that contain information that is readily accessible in a computer-readable format, for electronic distribution.

This is a placeholder slide, likely meant to introduce a specific example of secondary data used at MBS.

StaBi refers to the Bavarian State Library.
Students can use these resources to access and collect secondary data relevant to their studies.

Primary research is data collected directly by the researcher conducting the study.

Quantitative Data: Quantitative data is measurable and focuses on numbers and statistics. It seeks to quantify and measure variables.
- Observations: Observing and counting things, such as the number of people in a store.
- Surveys: Asking questions and gathering responses from people.
- Experiments: Conducting controlled tests to examine the impact of certain variables.
Qualitative Data: Qualitative data is descriptive and focuses on understanding perspectives, opinions, and experiences.
- Interviews: Talking with people to get their perspectives and experiences on a topic.
- Focus Groups: Bringing together a group of people to discuss and share their views on a topic.
- Ethnography: Observing and understanding people in their natural environment.

This appears to be a continuation of the presentation referencing different data types.
It's likely that the next slides in the presentation would go into further detail about quantitative and qualitative data in the context of research.