Chapter 2 Research Design: Strategies of Inquiry

Which research approach involves data gathering from large numbers of individuals with the intention of extrapolating the results to a wider population?

Which research design involves identifying the characteristics, frequencies, trends, and categories of observed phenomena?

Which research design aims to study causal relationships?

Which research design helps determine the consequences or causes of differences already existing among or between different groups of people?

Which research design helps establish a relationship between two variables without the researcher controlling any of them?

Which approach is associated with numbers as the unit of analysis with the aim of measuring or describing phenomena?

What is the purpose of sampling in research?

What is a characteristic of good research design?

What is the primary focus of using primary data in research?

Which type of data is collected from sources like books, journals, and the internet?

What is the main advantage of using secondary data in research?

Which characteristic of research design ensures consistent measurements over repeated measures?

What does locale refer to in a research study?

What characterizes good sampling in research?

What is the main drawback of primary data collection?

What is the primary focus of using secondary data in research?

Research Approaches and Designs

Quantitative research involves data gathering from large numbers of individuals, aiming to extrapolate results to a wider population.
Descriptive research design identifies characteristics, frequencies, trends, and categories of observed phenomena.
Experimental research design studies causal relationships between variables.
Comparative research design determines consequences or causes of differences between different groups of people.
Correlational research design establishes relationships between two variables without researcher intervention.

Data and Sampling

Quantitative analysis is associated with numbers as the unit of analysis, focusing on measuring or describing phenomena.
Sampling is crucial in research to ensure representativeness of the population being studied.
Good research design is characterized by clarity, rigor, and a structured approach to investigation.
Primary data usage focuses on obtaining original, context-specific information directly from sources.

Data Sources and Types

Secondary data is collected from existing sources such as books, journals, and internet publications.
The main advantage of secondary data is cost-effectiveness and time efficiency since it avoids the need for primary data collection.

Measurement Consistency and Locale

Reliability in research design ensures consistent measurements over repeated measures.
Locale refers to the specific environment or context where the research study is conducted.

Sampling Quality and Data Collection Drawbacks

Good sampling in research is characterized by randomness and representativeness of the target population.
The primary drawback of primary data collection is the potential for high costs and time consumption associated with gathering new information.
Secondary data primarily focuses on utilizing existing information to analyze patterns or trends without original data collection.