Quantitative Data Analysis

CHASR offers the following quantitative data analysis services:

  • Descriptive and summary statistics
  • Visual exploratory data analysis
  • Associations and correlation statistical analyses
  • Dimension reduction analysis using principle component analysis, factor analysis, multidimensional scaling, and correspondence analyses
  • Differences between groups using a variety of techniques as needed (i.e., ANOVA, Chi-Square Test of Homogeneity, Wilcoxon-Mann-Whitney test)
  • Regression analyses using various techniques
  • Grouping and segmentation studies using hierarchical cluster analyses
  • Social network data analysis techniques, including summary statistics at network, sub-group and individual level, hypothesis testing, and exponential random graph modelling
  • Spatial analysis techniques, including overlay, proximity, and network analysis
  • Spatial statistics include spatial clustering techniques and geospatial prediction modeling, including spatial regression and local linear regression
  • CHASR also offer a variety of additional analysis support services:
    • Mapping a field of research through systematic literature reviews, bibliometric analysis, co-citation analysis, co-authorship analysis, leading researchers, research community detection, and topic modelling
    • Scientific collaboration network analyses with a focus on assessing transdisciplinary and interdisciplinary collaborations, and gender-based analyses
    • Patterns of community interactions using kinship and resource sharing networks
    • Scenario analysis of natural resource management and industrial development
    • Consensus analysis and identification of key informants
    • Consumer perceptions and market segmentation studies
    • Cost-benefit analyses of public and private accounts
    • Multi-criteria analyses and evaluations

CHASR staff possess a range of skills and experience in quantitative research methods and statistics. Our in-house resources allow us to support a broad spectrum of quantitative data curation, coding, and cleaning tasks. We have the expertise and capacity to support a variety of statistical tests and analyses, ranging from descriptive and inferential statistics to segmentation, clustering, and modeling. Our quantitative data analysis services are buttressed by the most recent tools, techniques, and technologies, and we custom develop a unique analysis plan for each project. We have the ability to support quantitative analysis across a variety of software packages, such as R, Python, Tableau, SPSS, STATA, ArcGIS, and others.

Qualitative Data Analysis

CHASR offers the following qualitative data analysis services:

  • Thematic analyses within-case and cross-case
  • Content analysis
  • Open-ended survey data analysis
  • Interpretive description
  • Coding by question
  • Creating visualizations and investigating for patterns in data through NVivo 12 Pro for Windows
  • Sub-group analyses as data warrants (investigating sub-group differences or lack thereof in qualitative/open-ended responses based on attribute data if it has been collected for each participant/case) 
  • Negative case analysis (looking for outliers)
  • Peer debrief/coding checks (having an analyst at CHASR check the codebook for efficacy across coders)
  • Team coding (having one or more analysts at CHASR code data alongside the researcher or client to establish inter-coder reliability) 

With an ability to look vertically (focus case by case) and horizontally across datasets (building themes applicable/common to multiple cases), we aim to extract and harness the richest insights possible out of each dataset. We reflect findings in an eloquent, clear, and compelling manner via experienced report writers that are familiar with writing for academic and non-academic audiences, and we are familiar with analyzing data with and without the use of qualitative data analysis software. Ethically minded, data will be kept safe throughout the process, and regular check-ins and meetings between CHASR and the researchers or clients are welcomed. We understand how important, time-consuming and complex this part of the research life cycle is, and we will do everything within our capabilities to ensure your needs are met.

Mixed Methods Analysis

CHASR offers the following mixed methods analysis services:

  • Analyzing both sets of data (quantitative and qualitative) separately and then merging to seek complementarity, triangulation, or expansion
  • Exploratory approaches in which qualitative data is used to develop further quantitative inquiry
  • Explanatory approaches in which qualitative data is used to explain quantitative results
  • Integrating results through various intermediate analytical approaches, such as quantifying qualitative data, qualitizing quantitative data, and joint displays
  • Quantitative analysis services in mixed methods: ANOVA, regression, factor analyses, and more
  • Qualitative analysis services in mixed methods: within-case and cross-cases analyses, process coding (Grounded Theory), thematic coding, values coding, and more
  • Fully integrated analysis services in mixed methods: Predictive modeling of observational (video) behavioural data and content analysis

Specialists at CHASR can combine and integrate your mixed methods research results with an ability to extract rich insights from qualitative datasets and clear interactions and associations with quantitative datasets. Mixed methods analysis projects have included program evaluation data, document data and meta-analyses, community-based observation data, patient-oriented studies, open-ended survey data integration, feasibility and usability studies, integrated Delphi, and other various exploratory and explanatory design data.


Findings can be summarized in thorough reports written by experienced CHASR report writers, and customized for audience, including lay descriptions, technical reports, and policy-focused reports.  We also provide technical notes as web reports that can be set to automatically update as the underlying datasets change.