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What else can I help you with?
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.
Are there independent or dependent variables in qualitative research?
In qualitative research, variables are typically not classified as independent or dependent as in quantitative research. Instead, qualitative research focuses on exploring complex phenomena through in-depth analysis of non-numerical data such as interviews, observations, and textual analysis. Researchers in qualitative studies aim to understand the relationships, meanings, and contexts within the data rather than test specific hypotheses with independent and dependent variables.
Does qualitative research have independent and dependent variables?
Qualitative research typically does not use independent and dependent variables in the same way that quantitative research does. Instead, it focuses on understanding phenomena through themes, experiences, or meanings derived from data, such as interviews or observations. The goal is to explore complex issues in depth rather than to measure relationships between specific variables. However, qualitative studies may still involve concepts that can inform or contextualize variables in a broader research framework.
Where can the independent and dependent variables be found?
Independent variables are typically found on the x-axis of a graph or table, as they are the factors that are manipulated or controlled in an experiment to observe their effect on the dependent variable. Dependent variables are found on the y-axis, representing the outcomes or responses that are measured as a result of changes in the independent variable. In research studies, the independent variable is what the researcher changes, while the dependent variable is what is measured to assess the impact of those changes.
How do independent and dependent variables relate to each other?
Independent variables are the factors that researchers manipulate or change to observe their effects, while dependent variables are the outcomes or responses that are measured. The relationship between them is foundational in experiments, as the independent variable is presumed to influence or cause changes in the dependent variable. By analyzing this relationship, researchers can draw conclusions about cause-and-effect dynamics within their studies.
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.
Is smoking a dependent variable?
No, smoking is not a dependent variable; it is typically considered an independent variable in research studies examining health outcomes. Dependent variables are the outcomes being measured, which can be influenced by smoking. For example, in a study looking at the effects of smoking on lung health, lung function would be the dependent variable, while smoking would be the independent variable.
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.
What factors or variables are being studies?
The factors or variables being studied typically include independent variables, which are manipulated to observe their effect, and dependent variables, which are measured to assess the impact of the independent variables. Researchers may also consider control variables to account for potential confounding factors and ensure that the results are valid. Additionally, contextual variables, such as participant demographics or environmental conditions, can influence the study's outcomes. Together, these variables help to establish relationships and draw conclusions from the research findings.
What conclusion can be drawn only from an experimental study?
An experimental study allows researchers to establish causal relationships between variables by manipulating one or more independent variables and observing the effect on a dependent variable. This control over variables enables conclusions about cause and effect that cannot be drawn from observational studies, where confounding factors may influence the results. Therefore, only from an experimental study can one confidently conclude that changes in the independent variable directly cause changes in the dependent variable.
