2022 Introduction to Statistics in Research Mitchell 2nd ed

I N T R O T O R E S E A R C H : D A T A V I S U A L I Z A T I O N & C O M M O N S T A T T E S T S

Purposeful sampling example: Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and policy in mental health , 42 (5), 533 – 544.

Link to study: https://doi.org/10.1007/s10488-013-0528-y

Self-Assessment

Qualitative data deals with quantities, counts, or amounts. True or False The bigger the sample, the smaller the margin of error. True or False Replicating a study means failing to repeat it. True or False

Visualize, interpret, and present

One of the most important aspects of researching is exploring your data through visualizations. The nuts and bolts section only covers a few potential visualizations. More visualizations will be discussed in later chapters including how to use different applications to arrive at the best visualization for the scenario/data. Visualizations are the key to understanding your data.

Visualizations tell the story of the data. John Tukey has a similar quote to the one presented here. Tukey said, “ The greatest value of a picture is when it forces us to notice what we never expected to see. ”

Public Visualizations from studies One of the public datasets mentioned earlier is Global Preferences Survey conducted by the BRIQ Institute on Behavior & Inequality. You can actually select the characteristic(s) and the countries (76 countries participated in this study).

Figure 2: Global Preference Survey - Demonstration of Public Dashboard

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