The SAP when properly outlined, demonstrates how well you understand the data are to be collected and (later) analyzed. At Chi Square, we understand that includes specific aims, hypotheses, study design, data collection, analysis plan, and power estimation. Statistical analyses and table shells all are incorporated into the plan and performed before the data are…

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The dissertation journey is filled with complexities. Our experience also hails from a professor with over ten years of experience that includes not only teaching various courses but also has yielded an in-depth understanding of the dissertation process. We understand the challenges students often face while developing this unique and multi-faceted research project. Let us…

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Methods such as random forests (classification and regression models) and K-means (clustering and association) can take your data with appropriately framed questions deeper. We are experienced with the statistical software that can yield even more meaningful insights for your research data.

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We understand the same general research principles applied to primary data analyses apply to secondary data approaches. This includes the development of a clear and clinically relevant research question, study sample, appropriate measures, and thoughtful analytic methods.

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The literature review process can be long and time-consuming. This is a necessary step in the research journey and often not conducted correctly. Let our experienced team work with you during this exploration phase. For research studies desiring to gather multiple studies to yield statistical outcomes of interest, we specialize in producing high-quality meta-analyses for…

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We specialize in all forms of scientific writing. All written work is constructed with publication in mind, regardless of whether it actually is or not. Our talents include extensive experience in many recognized writing styles (e.g., APA and MLA).

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We acknowledge the high importance of selecting a sample that is truly representative (and in some instances as best representative as possible) of the population so that the inferences derived from that sample can be generalized back to the population of interest. Improper and biased sampling is the primary reason for often divergent and erroneous…

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We specialize in both the social and medical sciences. Theoretical (‘know-what’) and methodological (‘know-how’) lay the foundation in outlining logical inferences for constructing sound, reproducible research. It is of great importance to have a well-designed blueprint of activities to answer the formulated research questions developed during the exploration phase. This will include selecting a research…

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