Quantitative Design
This design describes a population, situation, or phenomenon by observing and collecting data
Descriptive Design
States your predictions about what your research will find.
Hypothesis
The extent to which findings from a study can be applied to a broader population or context beyond the specific sample or setting where the research was conducted.
Generalizability
Systematic error or deviation from the truth that can occur at any stage of the research process, potentially leading to incorrect or misleading findings
Bias
In this sampling strategy the researcher randomly selects individuals from the population
Simple Random Sampling
This research design is a non-experimental and examines the relationship between two or more variables without manipulating or controlling them.
Correlational design
This is the statement that identifies the issue or question a study aims to address.
Research Question
A method of research that focuses on collecting numerical data and analyzing it to find patterns or relationships.
Quantitative Research
The process of minimizing or eliminating the influence of extraneous variables on the outcome of a study.
Control
In this sampling strategy, the researcher divides the population into subgroups and sampling from each subgroup
Stratified Sampling
This research design is used to explore the cause-and-effect relationship between two variables.
Experimental Research Design
Statement in a research paper clearly and concisely explains the overall aim or goal of the study
Purpose
Presenting findings without bias or personal opinion, focusing on facts and evidence to ensure reliable and trustworthy results.
Objectivity
The researcher's deliberate and systematic change or alteration of the independent variable (the factor being tested) to observe its effect on the dependent variable (the outcome being measured)
Manipulation
Selecting individuals based on availability
Convenience Sampling
This research design compares two or more groups that are already in existence rather than assigning participants randomly.
Quasi experimental Design
Identifying the _________- refers to the entire group you're interested in studying or drawing conclusions about.
Population
How accurately a study measures what it intends to measure, ensuring the results are meaningful and trustworthy.
Validity
Refers to the likelihood or chance of a specific outcome or event occurring,
Probability
Dividing the population into clusters and randomly selecting entire clusters
Cluster sampling
This design is used to test the effects of a treatment and compare the results to a group that did not receive the treatment.
Randomized Controlled Trial
Identifying these________- characteristics or attribute that can take on different values or be measured in some way.
Variables
Refers to the consistency and dependability of a measurement or method, meaning that repeated measurements under the same conditions should yield similar results.
Reliability
To prevent bias, participants, researchers, and sometimes data analysts are unaware of which group participants are in.
Blinding
In this sampling strategy, the researcher selects every nth individual
Systematic Sampling