
Academic Research
We provide expert consultation for professors and researchers. We provide free initial consultations to discuss your data and your analysis needs.
Our Services
We are happy to provide the help you need at any or all of the following steps in earning the data-based answers you request:
- establishing and operationalizing your hypotheses and research questions
- providing ample instruction on the methods used
- 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
- allowing unlimited e-mail and phone support to ensure that you completely understand the results of the analysis
- conducting two rounds of incidental statistics (i.e., if you would like additional statistics)
- preparing an effective PowerPoint Presentation
- supporting until project is complete.
Data Management
We are dedicated to detecting and correcting corrupt or inaccurate records from a record set, table, or database. The process of data cleaning includes data auditing, workflow specification, workflow execution, post-processing, and controlling.
We can 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.
We 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.
Tests for Reliability, Validity, and Power
We can test 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).
Data Analysis
We can design and perform the required statistical analyses. We are experts in statistical analysis such as t-test, ANOVA, traditional regression, logistic regression, MANCOVA, factor analysis, cluster analysis, survival analysis, time series analysis, canonical correlations, discriminant analysis, and more advanced statistical techniques such as structural equation modeling (SEM), hierarchical linear modeling (HLM), and path analysis.
We are experts in statistical programming languages such as SAS, SPSS, HLM, Mplus, and Access.
Confidentiality
We provide all of our prospective clients with a Non-Disclosure Agreement immediately upon contact. Statistical Consulting Group shall maintain in strict confidence, and not use or disclose except pursuant to written instructions from prospective clients, provided that the obligation to protect the confidentiality of any such information or data shall not be excused if such information or data ceases to qualify as a Trade Secret as a result of the acts or omissions of Statistical Consulting Group.
Samples of Our Work
Sample of a Quantitative Results Section
Sample of a Quantitative Methodology Section
Sample of a Discussion Section
Sample of a Literature Review Section
Sample of a PowerPoint Presentation for Final Defense
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