WHAT MAKES Statistical and Educational Services, LLC exceptional? Look at Student Review or write one yourself! Click on Pic Above to read or write a review! I establish and operationalize your hypotheses and research questions providing ample instruction on the methods used providing assistance crafting and creating your methodology section inputting, organizing, and cleaning the data implementing the statistical analyses testing reliability (such as Cronbach's alpha, test-retest reliability, split-half reliability, and inter-rater reliability) and validity (such as content validity, construct validity, criterion validity, internal validity, and external validity) writing up all results, including APA tables and figures providing syntax and raw output file explaining the results so you can write the discussion section and defend them conducting two rounds of incidental statistics (i.e., if you or committee would like additional statistics) performing qualitative analysis providing expert editing services to you assisting you seeking dissertation writing help with your introduction and discussion chapters offering comprehensive dissertation writing help to you seeking creation or enhancement of your literature reviews preparing an effective power point Presentation supporting until project is complete DATA MANAGEMENT Data Management SPSS I am dedicated to detecting and correcting corrupt or inaccurate records from a record set, table, or database. The process of data cleaning includes data auditing, work flow specification, work flow execution, post-processing, and controlling. I use popular methods. Those include parsing, data transformation, duplicate elimination, and statistical methods. By analyzing the data using the values of mean, standard deviation, range, and clustering algorithms, we can find values that are unexpected and thus erroneous. I can examine any standardized residual greater than about 3 in absolute value, Hat element greater than 3p/n (p=k+1, k degrees of freedom), a Cook's distance > 1, and Mahalanobis's distance for case. We run Outlier Analysis such as a run-sequence plot, a scatter plot, a histogram, and a box plot.