Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik (2003) various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of interest) from the noise (statistical fluctuations) present in the data”.

An essential component of ensuring data integrity is the accurate and appropriate analysis of research findings. Improper statistical analyses distort scientific findings, mislead casual readers (Shepard, 2002), and may negatively influence the public perception of research.

There are a number of issues that researchers should be cognizant of with respect to data analysis. These include:

Having the necessary skills to analyze
Selecting the best appropriate analysis technique
Providing honest and accurate analysis
Drawing unbiased inference
Following acceptable norms for disciplines
Manner of presenting data

Our highly skilled statisticians are always ready to provide you the best service with your data. Our statisticians are all highly qualified with solid background in both theoretical and applied statistics as well as experienced of working in numerous data analysis projects in diverse disciplines including social sciences, economics, engineering, medical sciences, public health, psychology, business, education, nursing etc. We are equally experienced in working on data analysis projects for clients from both academia and industry.

We guarantee to offer you analyses of your data sound in every aspect of quality. Our reputation and testimonies earned from clients of numerous projects we have completed in past give us confidence to request you to consider our service for your data analysis purpose.

Our comfort with virtually all higher-level quantitative methodologies and our expertise in applying these tools enables us to assist with virtually any of your data problem. Here is a sample of some of the analytical tools with which we are familiar:

• Various forms of Regression Analysis, including Non-Linear Regression and Ridge Regression
• Survival Analysis including Life Tables, Kaplan-Meier Analysis and Proportional Hazard Regression
• Time Series Analysis, including Vector Autoregression (VAR), Vector Error-correction Models (VECM), and GARCH and its variants (NGARCH, EGARCH, etc.)
• Panel Analysis
• Survey Development and Reliability/Validity testing of existing surveys
• Statistical Power Analysis for Sample Size determination
• Multivariate Analysis (with multiple outcome variables), such as MANOVA and MANCOVA.
• Qualitative analytical methods including Phenomenological Analysis and Grounded Theory
• Optimization methods such as Linear and Nonlinear Programming, Genetic Search, and Simulated Annealing
• Markov Chain Monte Carlo and similar methods
• Nonparametric Methods
• Zero-Inflated Count Models
• TURF, Thurstone Scaling, and Shapley Values (used often in marketing-related projects)
• Conjoint Analysis, Choice Modeling, and Maximum Difference Scaling (MaxDiff)
• Meta-Analysis
• Structural Equation Modeling (SEM), Confirmatory and Exploratory Factor Analysis (CFA and EFA), Multidimensional Scaling, and Path Analysis
• Neural Nets
• Data Mining, Machine Learning and Artificial Intelligence (AI)
• Parallel Computing to handle very large datasets and for problems that would otherwise take excessive computing time
• Various Bootstrapping and Jackknife techniques
• Spatial Analysis
• All statistical software packages including R, Matlab, SAS, Stata, MPLUS, LISREL, EQS, PASS, Maple, Mathematica, and SPLUS

For clients working with us on their data analysis, the procedure usually goes as follows:

We first review your methodology, survey instrument, and dataset in order to better understand your study and develop a plan of attack for the analysis and interpretation.
Next, we discuss your study with you via phone and/or email (whichever you prefer) to be sure that we are clear on what you wish to accomplish.
Depending on the state of your current dataset, and your software of choice for the analysis, we may or may not need to assist with data import and formatting. This is done completely free of charge, and typically takes less than a day.
Once all the preliminaries are taken care of, and we have a better idea of what exactly you need in the results, we will conduct the statistical analysis of the data. Unlike many other consulting service providers, we are proficient with virtually every statistical method and test, and various statistical software packages including SPSS, SAS, STATA, R, SPlus, MATLAB, EViews, MPlus, LISREL/AMOS/EQS for structural equation modeling, and many others.
We will then work with you to draft your results. This will include the outputs of our analysis (figures, tables, etc.), all in APA format (or any other format you require), along with a detailed summary of the findings. From the time we have the final/cleaned data set; we ordinarily can return a first draft of your results within 3-5 days.

From here, our job is not done. We will now work with you extensively to address any revisions you’d like, explain to you how to interpret the results, provide ample instruction on the methods used (and why) and what the results mean, suggest reading materials for you to greater understand the particular statistical methods used, and allow unlimited e-mail and phone support to ensure that you completely understand the results of the analysis and can discuss them freely. This also includes all revision requests from your committee. We take pride in our ability to coach you and hold your hand during this process, and will remain with you until the very end.

References
Shamoo, A.E., Resnik, B.R. (2003). Responsible Conduct of Research. Oxford University Press.
Shepard, R.J. (2002). Ethics in exercise science research. Sports Med, 32 (3): 169-183.