Statistical and SPSS expert to help me with a dissertation
Budget: $8 – $15 USD
I need a Statistical and SPSS Specialist to help me analyze the results of a dissertation.
You will have to perform the calculations I ask for and send me the charts and tables.
The work will be paid per hour and will be done via google meeting with screen sharing.
The freelancer must have SPSS installed on his computer.
The methodology used will be:
"In order to analyze the data to test hypotheses and understand the relationship between students' financial knowledge and personality factors, three parameter tests were used: Pearson's correlation coefficient, the T-test, and the mean difference test (ANOVA). These are necessary tests to meet the criteria of data analysis.
To assess the association of the Financial Knowledge Indicator (FCI) and the Psychological Factors in a sample of n=242 students the quantitative variables were presented by measures of central tendency and variance. Qualitative variables were presented by relative absolute frequency distributions. The normality of the variables was assessed by the D'Agostino-Pearson test. The evaluation of the ICF variable according to the psychological factors was performed by ANOVA when the variables presented a Gaussian distribution. When normality requirements were not met, the Kruskal-Wallis test was applied. Alpha error was previously set at 5% for rejection of the null hypothesis.
Finally, a multiple regression analysis was performed to understand whether changes in the independent variables of personality factors can predict changes in the dependent variable financial education."
You will have to perform the calculations I ask for and send me the charts and tables.
The work will be paid per hour and will be done via google meeting with screen sharing.
The freelancer must have SPSS installed on his computer.
The methodology used will be:
"In order to analyze the data to test hypotheses and understand the relationship between students' financial knowledge and personality factors, three parameter tests were used: Pearson's correlation coefficient, the T-test, and the mean difference test (ANOVA). These are necessary tests to meet the criteria of data analysis.
To assess the association of the Financial Knowledge Indicator (FCI) and the Psychological Factors in a sample of n=242 students the quantitative variables were presented by measures of central tendency and variance. Qualitative variables were presented by relative absolute frequency distributions. The normality of the variables was assessed by the D'Agostino-Pearson test. The evaluation of the ICF variable according to the psychological factors was performed by ANOVA when the variables presented a Gaussian distribution. When normality requirements were not met, the Kruskal-Wallis test was applied. Alpha error was previously set at 5% for rejection of the null hypothesis.
Finally, a multiple regression analysis was performed to understand whether changes in the independent variables of personality factors can predict changes in the dependent variable financial education."