Research Methods in Nutrition Science Quiz

Primarily describes characteristics of a population or phenomenon, rather than establishing cause-and-effect relationships.

Blinding helps prevent biases in assessing outcomes by keeping participants or researchers unaware of treatment assignments.

In-depth discussions with a small group to gather insights and opinions on nutrition-related topics.

Provide detailed information on the nutrient content of foods, essential for nutrition research.

Random assignment of participants to different treatment groups helps determine causal relationships between diet and health outcomes.

ANOVA assesses differences in means among groups to determine statistical significance.

Both participants and researchers are unaware, reducing bias in the study.

Divides the population into subgroups to ensure representation, then samples randomly from each subgroup.

Combines data from multiple studies to provide a comprehensive analysis and draw more robust conclusions.

Observational study tracking a group over time to assess the impact of dietary habits on health outcomes.

Pre-tests research methods and procedures to identify potential issues and refine the study protocol.

Self-reported methods depend on memory accuracy, which can introduce bias.

An extraneous variable that affects both the independent and dependent variables, leading to erroneous conclusions.

Measures the strength and direction of the linear relationship between two continuous variables.

Assesses how variations in study parameters or assumptions affect the results and conclusions.

Evaluates the extent to which study findings can be applied to populations or settings beyond the study sample.