Reporting Non-Significant Findings in Multiple Regression Analysis- An APA-Compliant Approach

How to Report Non-Significant Multiple Regression APA

In the realm of statistical analysis, multiple regression is a widely used technique to examine the relationship between a dependent variable and several independent variables. However, it is not uncommon to encounter situations where the regression model fails to produce significant results. This article aims to provide guidance on how to report non-significant multiple regression findings in accordance with the American Psychological Association (APA) style.

Introduction to Non-Significant Multiple Regression

Non-significant multiple regression occurs when the p-value associated with the regression model is greater than the chosen significance level (commonly 0.05). This indicates that the regression model does not provide sufficient evidence to reject the null hypothesis, which states that there is no relationship between the independent variables and the dependent variable.

Reporting Non-Significant Multiple Regression APA Style

When reporting non-significant multiple regression findings in APA style, it is essential to follow a structured format. Below are the key components to include in your report:

1.

Model Overview

Begin by providing a brief overview of the model, including the dependent variable and the independent variables. For example:

“The current study examined the relationship between age, gender, and income on job satisfaction. A multiple regression analysis was conducted to determine the extent to which these variables predict job satisfaction.”

2.

Model Results

Present the results of the regression analysis, focusing on the coefficients, standard errors, t-values, and p-values for each independent variable. Since the model is non-significant, you can highlight this by using italics or underlining the p-value, as follows:

“Results of the multiple regression analysis revealed that age (β = 0.12, SE = 0.05, t = 2.4, p = 0.08) and gender (β = -0.03, SE = 0.02, t = -1.5, p = 0.14) were not statistically significant predictors of job satisfaction.”

3.

Interpretation

Discuss the implications of the non-significant findings. It is important to acknowledge that the lack of significance does not necessarily imply that the variables are unrelated. Instead, it suggests that the model may not be capturing the underlying relationship between the variables. For example:

“Although age and gender were not found to be significant predictors of job satisfaction in the current study, it is possible that other variables, such as work experience or organizational culture, may play a more substantial role in influencing job satisfaction.”

4.

Limitations and Future Research

Acknowledge any limitations of the study and suggest potential avenues for future research. This can help to contextualize the findings and encourage further investigation. For example:

“Future research could explore the role of additional variables, such as organizational support or job autonomy, in predicting job satisfaction. Additionally, longitudinal studies may provide insights into the temporal relationships between variables.”

By following these guidelines, you can effectively report non-significant multiple regression findings in APA style, ensuring clarity and transparency in your research presentation.