Relationship between assertiveness and the tendency to express anger openly
What are the means and standard deviations of the two variables, “rath” and “about”?
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For a total of 65 subjects, the mean for “rath” is 3.3902 with a standard deviation of.4330. On the other hand, 63 subjects had a mean of 2.1071 for “axout” with a standard deviation of.4276 (Table 1).
What is the Pearson r?
The Pearson correlation r between “rath” and “axout” is r =.286.
What is the p-value (“significance level”)? What does this p-value mean?
The 2-tailed significance value for this Pearson r is.023, which is less than.05, indicating that there is a significant relationship between “rath” and “axout”. It is therefore evident that there is a statistically significant relationship between assertiveness and the tendency to express anger openly (Table 2).
How does the n (sample size) of this sample affect the r and p values?
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Field (2009) explains that the larger the sample size, the more true the reflection of the strength of the relationship between two variables. As such, a larger sample size, n, is likely to increase the value of r perhaps to a figure that is greater than.5 thus indicating a strong relationship between “rath” and “axout”. At the same time, the p-value is deemed to reduce further below the significance level of.05, thus indicating a more statistically significant relationship. Reducing the sample size on the other hand reduces r and is likely to increase p values thus giving a false reflection of the relationship between the two variables.
Relationship between assertiveness and whether one holds anger “in”
R and it’s meaning
According to Table 4, there is a negative correlation between Crowne-Marlowe and axin, r = -.246. R is the correlation coefficient between the variables, in this case, the correlation between assertiveness and holding anger “in.” The R-value for this model is.246 indicating that there is a negative but weak relationship between the tendency to hold anger “in” and assertiveness. In other words, the correlation between assertiveness and holding anger “in” is.246 (Table 5).
R2 and it’s meaning
The R squared value for this model is.061 which indicates that 6.1 percent of holding anger “in” is contributed by the individual’s assertiveness (Table 5). This is because the R squared value is used to determine the proportion of variance explained by the model (predictor).
F and it’s meaning
The F-test value for this model is 4.073 and the F-test determines the statistical significance of the model whereby if the F-test is significant, then the model is termed as fit. In this model, the F value is significant p =.048 (Table 6) indicating that an individual’s assertiveness is a significant variable in predicting the individual’s tendency to hold anger “in.”
The F ratio (4.073) means that fitting in the model (i.e. considering assertiveness) leads to a 4.073 increase in the tendency to hold anger “in.” The p-value associated with the F value is.048 i.e. F (1, 63) = 4.073, p =.048). The p-value (significance value) indicates that the F value is statistically significant. In other words, there is a statistically significant change in holding anger “in” as a result of an individual’s assertiveness.
The standard coefficient for the variable axin is -.246. The standard coefficient for the variable axin is significant because the value is below.05, i.e. p =.048 (Table 7).
Significance means that the variables obtained from the computations can be relied upon to explain the relationship between the variables being examined. In other words, one unit change in axin causes a -.246 change on Crowne-Marlowe.
The standardized coefficients are the same as the Beta coefficients and it helps in the direct comparison of the strength of one variable against another variable. It is possible to do a comparison of a Beta (standardized) coefficient against another standardized coefficient since they are determined in standard deviations. However, with the unstandardized coefficients, it is impossible to give a direct comparison between two variables since these are not measured in standard deviations. Instead, it is only possible to state that a one-unit change in the predictor variables results in a given unit change in the outcome variable (Siegel, 2011).
The confidence interval (CI) for axin is 95% CI (-.083 -.000) indicating that the value of the regression coefficients in the population falls within -.083 and.000 (Table 7). The confidence intervals values produced for unstandardized regression coefficients help determine the likely value of the regression coefficients in the population.
From the above analyses and interpretations, it can be said that the more an individual is assertive, the less likely the individual is to hold anger “in.” In other words, assertive individuals tend to express anger more openly. Increased assertiveness leads to a decreased tendency to hold anger in.
Field, A. (2009). Discovering statistics using SPSS. California, SAGE Publications Ltd.
Siegel, S. (2011). Practical business statistics. Oxford: Academic Press.
Table 1: Mean and SD for “rath” and “axout”.
Table 2: Pearson Correlation for “rath” and “axout”.
|*. Correlation is significant at the 0.05 level (2-tailed).|
Table 3: Mean and Standard Deviation for Crowne-marlowe and Axin.
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Table 4: Correlation between Crowne-marlowe and Axin.
|Model||Variables Entered||Variables Removed||Method|
|a. All requested variables entered. |
b. Dependent Variable: crowne-marlowe
Table 5: Regression Analysis.
|Model||R||R Square||Adjusted R Square||Std. Error of the Estimate|
Predictors: (Constant), axin.
|Table 6: ANOVA Test and F-Statistic|
|Model||Sum of Squares||df||Mean Square||F||Sig.|
Predictors: (Constant), axin.
Dependent Variable: crowne-marlowe.
|Table 7: Unstandardized and Standardized Coefficients.|
|Model||Unstandardized Coefficients||Standardized Coefficients||t||Sig.||95.0% Confidence Interval for B|
|B||Std. Error||Beta||Lower Bound||Upper Bound|
|a. Dependent Variable: crowne-marlowe|