Q-Q Research Consultants | Data Analysis
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Data Analysis

Data Analysis

 

Q-Q Research staff is experienced in entering large amounts of data, conducting data analysis, and participating in ongoing research and data collection for federally funded research projects. Using large raw data files, staff has prepared new datasets via import techniques in various statistical packages (e.g., SPSS, MPLUS, STATA). Additionally, staff has extensive experience in creating and maintaining large data sets, including merging data from various sources, conducting data integrity checks to limit data issues or anomalies, and compiling data to analyze, and generate reports and graphs. Staff has computed means, frequencies, cross tabulations, odds ratios, ANOVAs and regressions using these data. Moreover, they have an understanding of the appropriate handling of missing data using the multiple imputation expectation maximization strategies, as well as outlier robust analytic techniques. Staff has experience conducting multiple data analyses including, but not limited to:
  • Descriptive Analysis
  • General Linear Modeling
  • Regression Analysis
  • Structural Equation Modeling
  • Latent Class Analysis
  • Latent Transition Analysis
  • Survival Analysis
  • Hierarchal Linear Modeling
  • Factor Analysis
  • Multidimensional Scaling
  • Qualitative Analysis
OUR SERVICES IN ACTION
Q-Q Research has ample experience analyzing large data sets, including both quantitative and qualitative data types.

ed  fiu

  • Served as the evaluator for FIU’s Title V Gateway Program funded by the U.S. Department of Education
  • Analyzed, managed and securely stored large amounts of academic test data to determine the academic gains of students