Examples of 'relationships between variables' in a sentence
Meaning of "relationships between variables"
Relationships between variables refer to the connections, associations, or patterns that exist between different factors or quantities in a study or analysis. In various fields, such as statistics, economics, or psychology, researchers examine relationships between variables to understand how changes in one variable may influence or be influenced by changes in another. These relationships can be explored through statistical analyses, experiments, or observational studies
How to use "relationships between variables" in a sentence
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relationships between variables
Model of relationships between variables associated with sleep.
Correlations were also analyzed to identify relationships between variables.
The relationships between variables may be linear or curvilinear.
O positive or direct relationships between variables.
Relationships between variables are sometime conflicting and require investigation and interpretation.
O negative or inverse relationships between variables.
The relationships between variables.
Statistics are often applied to find relationships between variables.
Relationships between variables are often conflicting and difficult to define and measure.
Tabulations can be created or relationships between variables can be analysed.
This study was characterized as exploratory nature and sought to identify relationships between variables.
Statistical relationships between variables.
Scientific sociological studies often observe relationships between variables.
People expect that relationships between variables and outcomes will be linear.
Linear regression was used in order to assess the relationships between variables.
See also
PA may influence the relationships between variables in organizational research.
Regression methods are mainly used to try to determine relationships between variables.
A statistical technique used to find relationships between variables for the purpose of predicting future values.
Graphs are a particular set of figures that display quantitative relationships between variables.
In psychology, relationships between variables are called correlations.
Analytical model that provide a visual picture of the relationships between variables.
Relationships between variables are sometime conflicting and require investigation and interpretation . on the work.
Of equipment or of relationships between variables.
Experimental research is the best approach for determining causal relationships between variables.
Data is verified, inconsistencies resolved and relationships between variables established by straightforward investigations.
Structural equation modeling empirically tests a set of hypothesized linear relationships between variables.
Relationships between variables were examined by cross-tabulation and chi-square test followed by logistic regression analysis.
Analytical models that provide a written representation of the relationships between variables.
Relationships between variables were assessed by Pearson 's correlation coefficient.
Each variable was analyzed separately and by the relationships between variables when relevant.
The relationships between variables were analyzed by Spearman's correlation.
A causal diagram is a directed graph that displays causal relationships between variables in a causal model.
O Relationships between variables ( view ) Census at School.
Individuals belong to a representative sample through a standardised interrogation procedure to investigate relationships between variables.
A number of issues - including clarifying relationships between variables - remains to be solved.
The research is descriptive, aiming to describe certain population characteristics, establishing relationships between variables.
The results for the analysis of relationships between variables are shown in Table 4.
The second refers to the empirical study itself and examines the possible relationships between variables.
In Table 3, the quantitative relationships between variables are detailed.
A generalized linear model, using a linear link function, was used to assess relationships between variables.
Phase 3, Describing the relationships between variables.
Tools for covariance and factor analysis allow you to examine the relationships between variables.
They can summarize trends, patterns and relationships between variables.
Association rule learning methods extract rules that best explain observed relationships between variables in data.
I enjoy the process of conducting research studies, examining relationships between variables and sharing results.
An analysis of covariance ANCOVA was performed to evaluate relationships between variables.
Data matrices, types of variables, and relationships between variables.
Statistical models - Statistical models allow the researcher to develop statistical relationships between variables.
The arrows in the model Figure 3 represent the relationships between variables.
Regression, Learning machine programs are tasked with estimating and understanding relationships between variables.
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Variables are introduced in order to track such bequests
The plan of the variables is the following
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