AMSTAT’s Expertise
All of our principals have PhDs in statistics at leading universities, including Harvard, Stanford, and Columbia. They include nationally renowned scholars. They have extensive backgrounds in statistics, biostatistics, and qualitative research. They have over 100 years of practical experience in quantitative and qualitative methods. They are experts in statistical programming languages such as SPSS, SAS, Stata, R, HLM, Mplus, SPSS Amos, SPSS Modeler, Azure, WinBUGS, Minitab, Match!3, and Access. They are experts in using qualitative data analysis software such as NVivo, Nud*ist, HyperResearch, and Atlas.
They are experts in statistical analysis (e.g., linear regression, logistic regression, hierarchical regression analysis, correlation analysis, chi-square test, t-test, ANOVA, MANOVA, structural equation modeling (SEM), multilevel SEM, confirmatory factor analysis (CFA), Multilevel CFA, factor analysis, principal components analysis, time series analysis, Cox regression, Kaplan-Meier survival analysis, hierarchical linear modeling (HLM), meta-analysis, predictive modeling, cluster analysis, Bayesian analysis, latent class analysis, longitudinal growth modeling, mixture model, linear mixed models, distribution analysis, ensemble analysis, de-identification, trend analysis, sensitivity analysis, negative binomial regression, interim analysis, decision tree, item analysis, nonparametric test, and advanced statistical analysis).
Our fees usually pale in comparison to the savings and additional profits that our work produces for our clients. Over 90% of our clients request our assistance more than once, as our clients are almost universally happy with our different brands of consulting. We are more reasonably priced than most other consultants offering statistical consulting. We offer personalized, comprehensive, and friendly support during and after your consultation with us. We offer ultra-fast turnaround times, often completing sections within 4-5 business days. We are members in good standing of the Statistical Consulting section of the American Statistical Association.
How we help clients
Statistical Consulting
AMSTAT has become nationally recognized for providing data management and statistical analysis.
Biostatistical Consulting
AMSTAT has become nationally recognized for providing data management and biostatistical analysis.
Dissertation Consulting
We provide students with dissertation services.
Qualitative Analysis
We can help researchers analyze the qualitative data.
Evaluation
AMSTAT provides reliable credential evaluation services for numerous state and federal government entities, schools, hospitals, non-profit organizations, and business clients.
Statistics Expert Witness
AMSTAT provides its consulting and expert testimony services to Fortune 500 companies, major law firms, government agencies, and small businesses.
Analytics
We help clients become analytics-driven organizations that achieve better performance through data.
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)eaning the data
Writing up all results, including tables and figures
Providing syntax and raw output file
Explaining the resultsdata
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
This list shows a sample of the past clients.
Read the latest posts
Banking Fees & Financial Performance
We measured the impact of banking fees on financial performance. The hypothesis was as follows: H1: Banking fees significantly affect financial performance. We performed a regression analysis to examine the hypothesis. Banking fees significantly and positively affected [...]
Relative Risk of Lung Cancer
We compared the difference in relative risk (RR) of lung cancer between the intervention and control groups. The hypothesis was as follows: H1: The intervention group will have an increase in relative risk (RR) of [...]
Blood Pressure
We examined the difference in blood pressure between patients with cancer and patients without cancer. The hypothesis was as follows: H1. There is a significant difference in blood pressure between patients with cancer and [...]
Internet Use & Perceived Performance
We measured the impact of internet use on perceived performance in technology companies and age differences in internet usage. The hypotheses were as follows: H1: Internet use significantly affects perceived performance in technology companies. [...]
Discover our PhD-level experts’ secret tutorials
Secret Tutorial: Linear Regression Analysis
A simple linear regression assesses the linear relationship between two continuous variables to predict the value of a dependent variable based on the value of an independent variable. More specifically, it will let you: [...]
Secret Tutorial: Independent Samples T-Test
The independent-samples t-test is used to determine if a difference exists between the means of two independent groups on a continuous dependent variable. More specifically, it will let you determine whether the difference between [...]
Secret Tutorial: Binomial Logistic Regression
A binomial logistic regression attempts to predict the probability that an observation falls into one of two categories of a dichotomous dependent variable based on one or more independent variables that can be either [...]
Secret Tutorial: One-Way ANOVA
If you want to determine whether there are any statistically significant differences between the means of two or more independent groups, you can use a one-way analysis of variance (ANOVA). For example, you could [...]
