Stats Assistance is a statistical consulting firm with expertise in business, education, health care, and social science research. With a team of PhD-level professionals has expertise, Stats Assistances is able to provide you the following: psychometrics, reliability analysis, validity analysis, mean difference analysis, analysis of variance, growth modeling, latent analysis, factor analysis, and item analysis. Members of the Stats Assistance team have consulted members of the Department of Education, doctoral students, and university professors. We have worked with first-hand data and secondary data (i.e. government datasets).
BUSINESS SERVICES
The experience backing the statistical approach of Stats Assistance is centered on behavioral outcomes. Our staff members have used these skills to help business using customer behaviors, market trends, and product viability. We can also help business develop validity and reliable online surveys, and assistance to create and maintaining data need to predict further business.
EDUCATION SERVICES
Stats Assistance can help meet the needs of schools and school districts in assessing the effects of curriculum, interventions, and programs on the academic outcomes on student, classroom, and school levels. We can help in develop Value Adding Modeling approaches to understand the quality of instruction presented to students. We can also help in assessing to growth of students to meet standards beyond that required by NCLB.
HEALTHCARE SERVICES
Stat Assistance staff members have over three years of community healthcare research experiences. We can help healthcare organization develop clinic trials, develop and manage data, and develop quality control using program data. We can also we healthcare organizations analyze data, develop program evaluation outcome measures, and develop comprehensive reports.
SOCIAL SERVICES AND NON-PROFITS
Stats Assistance staff members have worked on various projects with social services and non-profit organizations. These experiences centered on grant partnerships. The staff at Stat Assistance can assist in developing the measurement and evaluation sections of a grant proposal. In additional, we can help organizations develop and maintain effective data collection systems, analyze data, and help develop data driven reports that are attractive to funding sources and policymakers.
Data Assistance
Stat Assistance staff have experience with two types of data sets, 1) first-hand and 2) secondary. First-hand data is data in which you collect and secondary data is data collect by an external orgnization.
First-hand data, Stats Assistance can provided the following services:
Input your data to create a data file in excel or SPSS
Manipulate your data by creating new variables, recoding variables, or merging data files.
Consultation on develping data files (excel or SPSS)
Secondary data, our staff have worked with various national data sets. Stats Assistance can help you by pulling variables from secondary data sources and create a SPSS, SAS, or STAT data file. Or Stats Assistance can consult you as you learn to use various secondary data sources.
Stats Assistance
For those interested statiscal analysis, our staff members are experienced in:
- Simple imputation of missing data
- Computing new variables
- Recoding variables
- Selecting subsets of data for further analysis
- Reordering the data
- Merging files
- Creating date files from secondary data systems
For those in need of statistical assistances, our staff members are experienced in a variety of statistical technique for simple to complex analysis.
Basic Analysis:-
Descriptive Analysis - Crosstbulation Analysis
- Chi-Square Tests
- Bivariate Correlations
- T-test
- Simple Correlation
- One-way ANOVA
- Two-way and three-way ANOVA
- Curvilinear Regression
- Multiple Regression Analysis
- Repeated Measures – ANOVA
- Reliability and Validity Analysis
- Path Analysis
- Confirmatory and Exploratory Factor Analysis
- Multiple Regression Analysis
- Structure Equation Modeling
- Hierarchical Linear Modeling
- Logistic Regression
- Growth Modeling
- Multi-level Analysis
- Mixture Modeling
- Latent Class Modeling
- Latent Transition Modeling
- Data Imputation of Missing Values
Various statistical analyses request different statistical analysis programs. Our staff members have the following statistical software experience:
- SPSS
- MPLUS
- HLM
- LISREL