Significance of Interaction term
Interaction term, in Health Sciences, describes the response changes when two factors are altered together. Similarly, in Religion, interaction term represents statistical terms evaluating if combining two variables leads to notably different results. Both definitions emphasize the combined effect of two variables or factors on an outcome. The core idea is assessing whether the impact of one variable depends on the value of another.
Synonyms: Relationship, Correlation, Connection, Interplay, Interface, Communication, Moderator, Effect modifier, Statistical interaction
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Interaction term in scientific sources
Interaction term refers to statistical assessments of combined variables yielding significantly different outcomes. It depicts response changes when two factors are simultaneously altered.
From: Sustainability Journal (MDPI)
(1) A specific variable created by multiplying two independent variables together, whose coefficient in Model 3 indicates whether one variable affects the relationship between the other two.[1] (2) A product of two variables included in the regression equation to test whether the effect of one variable, such as capital openness, changes depending on the level of another variable, like financial development.[2] (3) Combinations of two or more independent variables multiplied together to determine if their combined influence on the outcome is different from the sum of their individual effects.[3] (4) Interaction terms are sequentially included in the model to examine how government efficiency and innovation environment jointly moderate the established relationship between high-speed rail opening and overall economic growth.[4] (5) The interaction term between environmental information disclosure and financing constraints is found to be negatively correlated with corporate sustainability performance, supporting the hypothesis that lower financing constraints benefit the positive impact of disclosure.[5]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) This mathematical component, created by multiplying two variables together, was found to have a significant positive influence on the feeling of place, indicating that recreation benefits enhance the relationship between participation in leisure and the feeling of place.[6] (2) A component within the statistical analysis that quantifies the combined effect of two independent variables, such as face covering type and biological classification, on an outcome.[7] (3) The product of income volatility and the binary variable indicating co-residence, added to the regression to determine if the relationship between financial instability and depression is conditional on living with children.[8] (4) The P-values for the interaction term between segregation index and race/ethnicity are available in Table S 6, indicating whether the effect of segregation differs significantly across racial or ethnic groups.[9] (5) The interaction term, representing the product of the independent and moderating variables, was found to be insignificant in Model 8, leading to the rejection of Hypothesis H 3 a.[10]
From: Asian Journal of Pharmaceutics
(1) These terms (A-B) in the polynomial equations indicate the combined effect of different factors on the outcomes.[11] (2) These are represented by one factor and higher factor order coefficients.[12] (3) These show how the response changes when two factors are simultaneously changed.[13] (4) The interaction terms X 1 X 2 show how the dependent variable changes when two or more factors are simultaneously changed.[14] (5) These show how the response changes when two or three factors are changed simultaneously in the analysis of variance.[15]
From: Journal of Public Health in Africa
(1) Interaction terms in the log-linear model depict deviations from independence, indicating how the relationship between two undernutrition indicators varies at different levels of the third.[16]
From: Religions Journal (MDPI)
(1) The variables that are included of religious a ffi liation and residential status (urban and rural) to examine how an association with happiness may vary among respondents in urban and rural areas.[17] (2) The interaction term, created by the product of positive affect and negative affect measures, is used to test the balanced affect model and its impact on independent measures of burnout.[18] (3) The interaction terms in the regression models explore whether the effects of explanatory variables differ across religious groups, revealing nuanced relationships.[19] (4) Statistical terms used to assess whether the combination of two variables produces significantly different outcomes.[20]