Animal Health: Research Methods & Scientific Process (Research and Experiments)

Research Plan

A blueprint outlining the problem being addressed, predictions, outcome measurements, and control of bias and confounding factors.

Significance

The justification for studying a problem in animal health, often linked to welfare, productivity, zoonotic risk, and economic loss.

Purpose Statement

A concise statement detailing what you will do to address the identified problem in animal health research.

Null Hypothesis (H0)

A testable prediction stating no difference or association exists between groups.

Alternative Hypothesis (HA)

A testable prediction stating that a difference or association does exist between groups.

Independent Variable

The variable that is intentionally changed or manipulated in an experiment.

Dependent Variable

The variable that is measured to assess the outcome of an experiment.

Controlled Variables

Factors that are kept the same throughout an experiment to reduce unwanted variation.

Control Group

A baseline group that does not receive the experimental treatment for comparison purposes.

Negative Control

Group that receives no treatment or a placebo; helps determine what happens without intervention.

Positive Control

Group that receives a treatment known to work; used to confirm the study can detect an effect.

Experimental Design

A research method assigning independent variables to assess cause-and-effect relationships.

Observational Study

A research method that measures existing variables without assignment, often more susceptible to confounding.

Randomization

A method to assign subjects randomly to groups to balance confounders.

Blinding

A practice to keep evaluators unaware of group assignments to reduce bias.

Materials List

A comprehensive list of items needed for a research study to ensure it is executable and reproducible.

Sampling Method

The process by which subjects are selected from a population for inclusion in a study.

Population

The entire group of individuals that a study is concerned with.

Sample Size

The number of subjects included in a study or experiment; it should be large enough to detect meaningful effects.

Confidence Interval (CI)

A range of values that likely contains the population parameter based on sample data.

Correlation Coefficient (r)

A measure of the strength and direction of the relationship between two variables.

Scatterplot

A graphical representation used to visualize the relationship between two quantitative variables.

Significant Figures

The numbers in a measurement that carry meaning contributing to its accuracy.

Internal Validity

The extent to which a study can demonstrate cause-effect relationships.

External Validity

The degree to which study findings can be generalized to other settings or populations.

IMRaD Structure

The standard format for scientific reports: Introduction, Methods, Results, and Discussion.

Operational Definition

A precise description of how a variable will be measured or manipulated in a study.

Peer Review

The evaluation of scientific work by others in the field to ensure quality and accuracy before publication.