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Does quantitative research typically use independent and dependent variables?

Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).


How do you identify dependent and independent variables in research on corporate social responsibility and how it affects a firms reputation employee commitment and retention and customer satisfaction?

When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.


What are the possible variables?

Possible variables can include independent variables, which are manipulated in experiments, and dependent variables, which are measured outcomes. Other types include controlled variables, which are kept constant to ensure a fair test, and extraneous variables, which could unintentionally affect results. Additionally, categorical variables represent distinct groups, while continuous variables can take on a range of values. Identifying and managing these variables is crucial for accurate research and analysis.


What is meant by confounding?

Confounding refers to a situation in research where an outside variable influences both the independent and dependent variables, leading to a misleading association between them. This can obscure the true relationship being studied, making it difficult to determine causality. Confounding variables must be controlled or accounted for to ensure accurate interpretations of research findings.


Is religious affiliation a dependent or independent variable?

Religious affiliation is typically considered an independent variable, as it can influence various outcomes such as behavior, attitudes, and social interactions. In research, it is often used to examine its effects on dependent variables like mental health, political beliefs, or social cohesion. However, the classification can depend on the specific context of a study.

Related Questions

What are the two important variables in a research title?

Dependent and Independent variables


What are the 3 types of viriable?

The three types of variables commonly used in research and statistics are independent variables, dependent variables, and controlled variables. Independent variables are manipulated or changed to observe their effect, while dependent variables are the outcomes measured in response to the independent variables. Controlled variables are kept constant to ensure that the results are due to the independent variable alone. This framework helps clarify cause-and-effect relationships in experiments.


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 quantitative research typically use independent and dependent variables?

Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).


How many dependent variables are in an experiment?

The number of dependent variables in an experiment can vary depending on the research design and objectives. Typically, an experiment may focus on one primary dependent variable to measure the effect of an independent variable. However, researchers can include multiple dependent variables if they aim to assess various outcomes or effects. Ultimately, the specific number will depend on the goals of the study.


How do you identify dependent and independent variables in research on corporate social responsibility and how it affects a firms reputation employee commitment and retention and customer satisfaction?

When you do an experiment the variable you control is the independent variable, and the variable you measure is the dependent variable. The independent variable is controlled by the experimenter; the dependent variable is measured. In this case, corporate social responsibility is the independent variable, and the others are dependent variables.


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 is the relationship between Hypothesis and Variables?

A hypothesis is a testable statement or prediction about the relationship between variables in a research study. Variables are the elements that can change or vary, typically classified as independent (manipulated) and dependent (measured). The hypothesis often posits how changes in the independent variable will affect the dependent variable, guiding the research design and experimentation. Thus, the relationship between a hypothesis and variables is foundational for empirical investigation and analysis.


What is the difference between experimental and ex post facto research?

Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.


What is the difference between experimental and ex post facto research design?

Ex-post facto research measures the cause and effect relationship without manipulating the independent variable. While the experimental research starts from manipulating and controlling the independent variables and proceeds to observing the effect on the dependent variables.


What is history effect in research?

History Effect is an event that intervenes in the course of one's research and makes it difficult if not impossible to interpret the relations among independent and dependent variables.


Variables to study in thesis?

Variables to study in a thesis depend on the research question, but common ones include independent variables that impact the dependent variable. Examples include demographics, behavior, attitudes, and environmental factors. It's essential to specify these variables clearly to align with the research objectives.