AMSTAT Consulting’s Expertise

AMSTAT Consulting has become nationally recognized for providing its statistical consulting services to numerous state and federal government entities. Our successful clients cite these reasons for choosing to work with AMSTAT Consulting.

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 and 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, JMP, 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, 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, statistical and decision modeling, maxDiff, segmentation and cluster analysis, conjoint/discrete choice, predictive analytics, 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. We offer personalized, comprehensive, and friendly support during and after your consultation with us. We are members in good standing of the Statistical Consulting section of the American Statistical Association.

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.

Data Management and Test Results for Reliability and Validity

AMSTAT Consulting is dedicated to detecting and correcting corrupt or inaccurate records from a recordset, 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. We run Outlier Analysis such as a run-sequence plot,  a scatter plot, a histogram, and a box plot.

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).

Statistical Analysis

We can design and perform the required statistical analyses.  Here is a sample of some of the analytical tools with which we are familiar:

  • Correlation Analysis, T-test, Chi-square Test, Regression Analysis, Logistic Regression, Hierarchical Regression Analysis, Factor Analysis, Principal Components Analysis, One-way ANOVA/ANCOVA, One-way MANOVA/MANCOVA, Factorial ANOVA/ANCOVA, Repeated Measures ANOVA/ANCOVA, Repeated Measures MANOVA/MANCOVA, Nonparametric Test (Wilcoxon signed rank test, Friedman test, Kruskal-Wallis test, Mann-Whitney test, Spearman Rank Correlation), Structural Equation Modeling (SEM), Multilevel SEM, Confirmatory Factor Analysis (CFA), Multilevel CFA, Exploratory Factor Analysis, Mediation Analysis, Moderation Analysis, Time Series Analysis, Spatial Time-series Modeling, Cox Regression, Kaplan-Meier Survival Analysis, Trend Analysis, Sensitivity Analysis, Hierarchical Linear Modeling (HLM), Bayesian Analysis, Bayesian Cox Regression, Joint Hierarchical Bayesian Modeling, Latent Class Analysis, Longitudinal Growth Modeling, Mixed-Effects Regression Model, Meta-Analysis, Mixture Model, Linear Mixed Models, Distribution Analysis (e.g., Lognormal, Weibull, Gamma), Decision Tree, Ensemble Analysis, De-identification, Interim Analysis, Item Analysis, Discriminant Analysis, Binomial Test, Heterogeneity Test, Multidimensional Scaling, Tau-U Analysis, Negative Binomial Regression, Statistical and Decision Modeling, MaxDiff, Segmentation and Cluster Analysis, Conjoint/Discrete Choice, Predictive Analytics, and Advanced Statistical Analysis

We have expertise in virtually every statistical and qualitative software package, including but not limited to:

  • SPSS, SAS, Stata, HLM, Mplus, R, SPSS Amos, SPSS Modeler, Azure, JMP, NVivo, WinBUGS, Minitab, Match!3, and Access.

Impact Stories

Fight COVID-19

Analyzed a database of existing drug compounds and combinations that might prevent the virus.

Test your cybersecurity

Leveraged statistical analysis for threat intelligence.

Help Veterans Mental Health

Analyzed the impact of PTSD on suicide.

Identity and Access Management

Analyzed biometric data to identify an individual beyond doubt.

Examples of our work

Motivation & Mathematics Performance

November 20th, 2020|0 Comments

We developed and tested a model, based on Self-Determination Theory (SDT), describing the effects of motivational resources on mathematics performance. The model was tested using data from the Third International Mathematics and Science Study-Revised [...]

Energy Costs

November 16th, 2020|0 Comments

We examined the impact of solar panel installation on homeowners’ monthly energy costs. The following research question and hypothesis were used to guide this study: R1: How does solar panel installation predict homeowners’ monthly [...]

Depression

November 15th, 2020|0 Comments

We measured the impact of bullying on depression. The hypothesis was as follows: H1. Bullying significantly affects depression. We performed a regression analysis to examine the hypothesis. Bullying significantly and positively affected depression (β=.42, [...]

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Discover our PhD-level experts’ secret tutorials

Secret Tutorial: Linear Regression Analysis

November 23rd, 2020|0 Comments

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

November 22nd, 2020|0 Comments

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

November 20th, 2020|0 Comments

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

November 19th, 2020|0 Comments

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 [...]

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