[4.3] Technical Terms Used in Research
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- These are words or phrases that people use in a specific career field. These terms can be any word, phrase or acronym that has a specialized meaning within a particular field of expertise, such as words for equipment, personnel, software or processes.
- It states your predictions about what your research will find.
- In research, it simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way.
- It is the variable you manipulate, control, or vary in an experimental study to explore its effects.These aren't affected by any other variables that the study measures.
- It is the variable that changes as a result of the independent variable manipulation. It's the outcome you're interested in measuring, and it “depends” on your independent variable.
- It is a group in the experiment which a variable is not being tested, such as a test subject that does not receive any treatment.
- It is the group in an experiment that receives the variable being tested.
- It is the process of assigning participants to treatment and control groups, assuming that each participant has an equal chance of being assigned to any group.
- It refers to the entire group or set of individuals, objects, or events that possess specific characteristics and are of interest to the researcher. It represents the larger population from which a sample is drawn.
- It refers to the claim that a result from data generated by testing or experimentation is likely to be attributable to a specific cause. A high degree of statistical significance indicates that an observed relationship is unlikely to be due to chance.
- In study, it refers to how well the results among the study participants represent true findings among similar individuals outside the study.
- In research, it describes the degree that the results of a given study can be repeated or replicated under the same conditions.
- It is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and generalize results to wider populations.
- It involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences.
- It is the independent assessment of your research paper by experts in your field.
- When researching human subjects, minimize harms and risks and maximize benefits; respect human dignity, privacy, and autonomy. What technical term of research applies to this idea?
- It basically states that there are no statistically significant differences between two or more experimental or control groups.
- It is an opposing theory to the null hypothesis.
- It means how sure a researcher is that the results found are not accidental (not by chance).
- These affect other variables in a way that produces spurious or distorted associations between two variables.
- It is the expected outcome of the research.
- It cannot be affected by other factors.
- It can be affected by different factors.
- It erves as important benchmarks to compare the results of the experimental group, or the group that is being experimented on.
- A study design that randomly assigns participants into an experimental group or a control group.
- It means random assignment of treatments. This way we can eliminate any possible biases that may arise in the experiment.
- Let's say you're looking at the results of a customer satisfaction survey. If the results are ___ ___, they are unlikely to have occurred by chance alone.
- It is something that a researcher tries to disprove.
- It is lost if other researches do research of the same topic but have different outcomes.
- It does not stop after gathering data. This is present in your study if other researchers use it as a reference to theirs.
- It is a measure of the strength of the evidence that must be present in your sample before rejecting the null.