Please I am trying to test wether there is significant variation in the level of SR disclosure among 35 industries over 10 years. I learned one-way ANOVA is suitable, please how can I run the analysis (ANOVA)?
A lot depends on the nature of your dependent variable, "level of SR disclosure" and how it is quantified. As well, if the "over 10 years" means that your data points are annual measures for a given case in your sample (as opposed to a single, aggregate value) will call for a different analysis (repeated measures anova) than if all observed scores are independent of one another.
I'd suggest that, ideally, you consult with someone at your university who has more training in statistics. Barring that, you might have a look at these links:
To test for significant variation in the level of SR (Social Responsibility) disclosure among 35 industries over 10 years using a one-way ANOVA, you can follow these steps:
Data Preparation: Organize your data in a tabular format where each row represents a specific observation or industry, and each column represents the SR disclosure level for a particular year. Ensure that you have the SR disclosure data for each industry across the 10 years.
Null and Alternative Hypotheses: Define your null and alternative hypotheses. The null hypothesis (H0) would be that there is no significant variation in the level of SR disclosure among the industries over the years. The alternative hypothesis (HA) would state that there is significant variation.
Conduct the ANOVA Analysis: Select the appropriate software for statistical analysis (e.g., SPSS, R, Excel). Input your data into the software and navigate to the analysis menu. Choose the one-way ANOVA option and specify the dependent variable (SR disclosure) and the independent variable (industry). Set the appropriate settings for the ANOVA analysis, including the significance level (typically 0.05). Run the analysis, and the software will calculate the relevant ANOVA statistics, such as the F-statistic, p-value, and effect size measures.
Interpret the Results: Examine the F-statistic and associated p-value. The F-statistic tests whether the variation between the means of different industry groups is significantly larger than the variation within each group. A significant p-value (typically p < 0.05) would indicate that there is evidence of significant variation in SR disclosure levels among the industries. If the ANOVA results are significant, you can perform posthoc tests (e.g., Tukey's HSD, Bonferroni) to identify specific differences between industry groups.
Report the Findings: Present the results clearly and concisely, including the ANOVA table, F-statistic, degrees of freedom, p-value, and any posthoc test results. Provide an interpretation of the findings, discussing the presence or absence of significant variation in SR disclosure among the industries over the years.
It is worth noting that assumptions of ANOVA, such as normality and homogeneity of variances, should be checked before conducting the analysis. Additionally, consulting a statistician or referring to the specific software documentation can provide more detailed guidance on running ANOVA in your chosen software package.