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Can you do an ANOVA with nominal data?
The independent variable in ANOVA must be categorical (either nominal or ordinal). The dependent variable must be scale (either interval or ratio). However, it is possible to recode scale variables to categorical and vice versa in order to perform ANOVA. While this is a common practice in many social sciences, it is controversial. I have also seen studies where ordinal data is treated as scale in ANOVA. Personally, I do not endorse either practice as they are tailoring the data to fit the test instead of the proper method of selecting a test that fits the data.
What does it mean if two variables have a negative correlation?
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
Who studies numbers today?
Acountance
What do you call a person that studies statistics?
A statistician
What is a pulicologist's area of expertise?
A person who studies Fleas.
What is the relationship between the dependent and independat variables?
The dependent variable is influenced by changes in the independent variable. The dependent variable's values depend on the values of the independent variable. This relationship is often explored through statistical analysis in research studies.
What are some kinds of independent variables?
The answer depends on the context. A variable can be independent in some studies but dependent in others. Time can be an independent variable in distance-time or speed-time studies but the time (to failure of a component) is a dependent variable. Perhaps confusingly, the same two variables can swap places depending upon the context. Suppose I believe that healthier people are taller (their growth is less likely to be stunted by illnesses) then my independent variable is some measure of their health and the dependent variable is their height. If instead, I believe that taller people are healthier (their parents must have had good genes) then the independent variable is height and the dependent is health.
What are variables in a qualitative study?
In qualitative studies, variables are the concepts or factors that are being studied. These variables are often abstract and subjective in nature, such as beliefs, experiences, or feelings. Researchers aim to understand the relationship or connections between these variables through in-depth analysis and interpretation.
What are mirror image studies in research methodology?
Mirror image studies in research methodology involve conducting two studies that are identical in every way, except for the independent and dependent variables being reversed. This design helps researchers control for potential confounding variables and evaluate the robustness of their findings. By comparing the results of both studies, researchers can enhance the internal validity of their conclusions.
Cause and effect conclusions can be drawn from what kind of studies?
Cause and effect conclusions can be drawn from experimental studies, where researchers manipulate an independent variable to observe its effect on a dependent variable. Correlational studies, on the other hand, can only show associations between variables but not causation.
Why are statistical procedures such as t-tests and analysis if variances not appropriate for use in qualitative studies?
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.
In a research study is one variable is changed to see how it affects behavior the study is most likely an?
experimental study. In experimental studies, researchers manipulate an independent variable to observe its effect on a dependent variable while controlling for other variables. This allows for making causal inferences about the relationship between the variables.
Why would a scientist need to identify variables?
Variables are the basis of a scientific experiment. When the scientist is carrying out his procedure, he is actually altering a variable, called the independent variable. Unless he just likes playing with chemicals, he is likely attempting to get a result, and he does this by using measurements of the dependent variable, which has changed because of the manipulation of the independent variable. Identifying the variables becomes very important when formulating more complicated studies, and becomes the bread and butter of psychological experiments.
What is the difference of quantitative studies and qualitative studies?
quantitative studies are for bulk while qualitative studies are more focused on the quality of the work. "quality" and "quantity" can be found within each of the words.
What is an independent variable and example?
Independent variables are values that can be changed in a given model or equation. They provide the "input" which is modified by the model to change the "output."A scientist studies how many days people can eat soup until they get sick. The independent variable is the number of days of consuming soup. The dependent variable is the onset of illness.The independent variable is what causes the results.
Studies based on interpretive observations not statistical analysis are called?
Qualitative studies
Are there variables involve in your area concern and defined or describe variables farther classified dependent or independent in radiation effect of human?
Isn't it both? It studies the Earth's atmosphere (it's structure and composition) and all meteorological (weather) phenomena that occur in our atmosphere. It deals with stuff like heating, gravity (air pressure), motion (wind), Corioli effect, evaporation, saturation, etc.
