Data analysis strategy (e.g., comparison or regression tests) Note that not all of these topics will necessarily be relevant for your study. For example, if you didn’t need to consider outlier removal or ways of assigning participants to different conditions, you don’t have to report these...
S. (2014). Applied multiple regression/correlation analysis for the behavioral sciences. Psychology press. Côté, S. (2005). A social interaction model of the effects of emotion regulation on strain. Academy of Management Review, 30(3), 509–530. Article Google Scholar Côté, S., & ...
Using multiple regression, we found that when people reported more stress at the onset of the pandemic, they reported feeling lower sexual desire for their partner. But, contrary to our predictions, when people reported more concern about the financial impact of COVID-19, they reported more sexu...
This is not uncommon when working with real-world data rather than textbook examples, which often only show you how to carry out a moderator analysis using multiple regression when everything goes well! However, don’t worry. Even when your data fails certain assumptions, there is often a ...
A quantitative methodology was employed in a study analyzing the relationship between physical activity and heart disease risk among adults. Researchers used a structured survey distributed to 10,000 participants and analyzed the data using logistic regression to identify significant predictors. The use of...
and further forms economic agglomeration, industrial structure transformation, and regional innovation at the macro level, which together have an impact on employment under the superposition of multiple effects. In addition, we further find that SCP can drive enterprises to undergo digital transformation,...
We preregistered to conduct Bayesian analyses on the effects of the training on food choice within each training condition, but did not specify how exactly so therefore we report them as additional analyses. As a robustness check, we also ran a Bayesian mixed logistic regression model with item...
1 Weighted linear combinations means that each variable has a different weight: the factor/component loading that determines how much or little each variable contributes to the composite. This is similar to multiple regression where a variable score is composed of different amounts (regression weights...
However, interacting with others on social media can generate favorable impacts on one's self-esteem when individuals experience a feeling of belonging and receive encouragement and assistance from their online connections. In the study by Apaolaza et al. [69], people socializing on social media ...
Meta-regression analysis (Hedges and Olkin1985; Lipsey and Wilson2001; Stanley and Jarrell1989) aims to investigate the heterogeneity among observed effect sizes by testing multiple potential moderators simultaneously. In meta-regression, the coded effect size is used as the dependent variable and is ...