An Innovative,

Research-Based,

Statistical Consultancy

Statistical Solutions Inc. offers basic and advanced statistical data consulting; trainings and seminars, statistical software demonstrations, software output analysis, reports and publication authoring, and one-on-one tutoring. 

 

Internationally Renowned

Our expertise is obtained by working on grant funded research projects, collaborating with top tier research institutions, publishing in peer-reviewed journals with high impact factors and presenting at international conferences. In addition, Statistical Solutions Inc has more than 10 years' experience teaching basic and advanced statistical analysis courses.

 

ABOUT US

Mariola Moeyaert founded Statistical Solutions Inc. to provide consultancy services for basic and advanced statistical data analysis techniques. Data is everywhere and statistical techniques are a powerful tool to describe & summarize data, make predictions and make evidence-based data driven decisions. As an Associate Professor of Statistics, Ms. Moeyaert ensures that the latest reliable & valid data analytic techniques are used. Statistical Solutions Inc. offers several services including trainings and teachings, software demonstrations (e.g., SAS, R, SPSS, JMP, Matlab, Stata), interpreting software output, writing reports and publications, and providing one-on-one tutoring. 

 

The specific research expertise of Ms. Moeyaert includes interrupted time series analysis, meta-analysis, advanced regression analysis and multilevel modeling. Click below to find more about her background, expertise and academic career: 

 
 

SERVICES

Statistical Solutions Inc offers a variety of personalized services to individuals, corporations and public services in need of statistical data consultancy. We can provide the consultancy in person or through videoconferencing or email. All latest methodological and statistical innovations are incorporated in the service.

 

Clients can choose between the following three options: 

  1. Hourly statistical consultancy

  2. Courses, lectures, workshops or webinars on specific statistical Topics

  3. Software demonstrations

Hourly Statistical Consultancy

The hourly consultancy offered by Statistical Solutions Inc can take on multiple forms:

Designing

a powerful experimental study

Running

statistical analysis techniques

Selecting

the best statistical analysis technique to quantify and summarize data

 

Demonstrating

how to run statistical analyses techniques using statistical software packages

Interpreting and explaining

results obtained by running statistical analysis techniques

Reporting

 the best statistical analysis technique to quantify and summarize data 

Courses, Lectures, Workshops or Webinars on Specific Statistical Topics

Depending on the individual needs, Statistical Solutions can organize courses, lectures, workshops or webinars of varying lengths (one day, multiple days, weekly, semester lengths) and varying difficulty levels. Topics include descriptive statistics, basics of inferential statistics (one sample t-test, two-sample t-test, ANOVA, MANOVA, chi2 testing, etc.), regression analysis, meta-analysis, multilevel modeling, hierarchical linear modeling, single-case experimental design analysis, etc.

Software Demonstrations

Statistical Solutions can give software demonstrations in SAS, R, Stata, Jmp, SPSS, and MPlus. During the demonstrations, Statistical Solutions can use the client’s data depending on the client’s preference.

ACCOMPLISHMENTS

Dr. Mariola Moeyaert is an expert methodologist in developing and validating statistical analysis techniques. She enhances the understanding of statistical data analysis techniques through funded research projects, international peer reviewed journal articles, applied illustrations, software demonstrations, and tutorials. She has published over 45 methodological and applied papers related to statistical analysis techniques in top tier international peer reviewed journals. 

Here you can find a summary of Dr. Mariola Moeyaert’s current funded research projects:

 

FUNDING AGENCY

Institute of Education Sciences

PROJECT TITLE

Assessing Generalizability and variability of single-case design effect sizes using multilevel modeling including moderators

ROLE

Principal Investigator

BRIEF SUMMARY

The goal of this research project is to contribute to evidence-based decisions, research and practice in education through designing hierarchical linear modeling of single-case data (Shadish & Rindskopf, 2007). This project can be organized according to three specific aims: (1) the first aim is the empirical validation of the multilevel meta-analytic model including moderators in order to explain variability among effect sizes at the case and at the study level, (2) the second aim is the development and empirical validation of power calculations to detect meaningful moderator effects and (3) the last aim is evaluating current What Works Clearinghouse (WWC) standards for combining studies (including moderators) and making recommendations based on the results of the empirical validation in aim 1 and aim 2. The underlying rationale for this proposed grant is to respond to practical questions about how to design a multilevel meta-analysis that is powerful enough to generalize treatment effects and explain variability in treatment effects by including moderators.

FUNDING AGENCY

Institute of Education Sciences

PROJECT TITLE

Multilevel modeling of single-subject experimental data: Handling data and design complexities    

ROLE

Co-Principal Investigator

BRIEF SUMMARY

Our research group was one of the first to propose, develop and promote the use of multilevel models to synthesize data across subjects, allowing for estimation of the mean treatment effect, variation in effects over subjects and studies, and subject and study characteristic moderator effects. The research that is proposed focuses on the multilevel modeling framework for the (meta-)analysis of single-case studies, both using raw data and effect sizes. We are looking at possible approaches for handling complexities, including (a) estimation of the variance components at the subject and study level, (b) heterogeneity in the covariance structure, (c) analysis of non-continuous outcome variables, (d) subject-specific external event effects, (e) response guided decisions, (f) complex functional forms, and (g) mixed designs 

FUNDING AGENCY

Foundation for Child Development

PROJECT TITLE

Estimating the direct and indirect effects preschool teachers’ outreach efforts on children’s academic and socio-emotional outcomes during the transition to elementary school  

ROLE

Consultant

BRIEF SUMMARY

In this project I estimate the direct and indirect effects of preschool teachers’ outreach efforts on children’s academic and socio-emotional outcomes during the transition to elementary school. I developed a moderated mediation model within the structural equation model framework to examine if these effects differ for children from economically disadvantaged backgrounds and whether these effects are mediated by way of increased parental involvement. 

FUNDING AGENCY

Health Resources and Services Administration (HRSA)

PROJECT TITLE

Effects of Augmentative and Alternative Communication Interventions on Speech Production in Individuals with Autism Spectrum Disorders and other Developmental Disabilities: A Systematic Review and Meta-Analysis

ROLE

Consultant

 

BRIEF SUMMARY

The goal of this project is to conduct a systematic review and meta-analysis summarizing the effects of augmentative and alternative communication interventions on speech production in individuals with autism spectrum disorders and other developmental disabilities. I am (a) providing feedback on the selection of appropriate effect size metrics for single-case experimental designs including hierarchical linear modeling and design comparable effect size, and (b) implementing meta-analysis specific statistical analyses including sensitivity analyses and moderator analyses. 

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