Intellectus Statistics Meets School Administrator and Graduate Students Data Analyses and Report Writing Needs


Introduction

Over decades of statistical consulting, school administrators and graduate students consistently needed comprehensive quantitative analyses and quality reports without having to be statisticians. They needed the right tool to support their data management, selection of analyses, and understanding of the findings.

Market Drivers 

These individuals have a clear idea of their variables, research questions, and they need answers quickly. They need answers without having to have a degree in statistics. While their need for an easy to use program is great, the technology has not been available. Given limited staff, and time, to conduct analyses, they need a program that delivers a presentation-ready document with descriptive and sophisticated analyses, along with publication quality graphics.

Intellectus Statistics’ Solution

Intellectus Statistics is a technological innovation. This package is easy to use, allows for data management, offers common plots, interprets output in plain English, and downloads into Word. Intellectus also comes with live support of a statistician should additional questions about data plans, sample size, using the program, and understanding the output arise.

Benefits.  One benefit of Intellectus is in its automation. The software has built-in “skills.” For example, when an analysis is selected, the assumptions of that analysis is preloaded, if assumptions are violated, the non-parametric equivalent is automatically conducted. Appropriate tables and figure are automatically produced. The program guides you to use the right variables in the right analysis.

Time savings in the second big benefit of Intellectus. Many projects that typically take 2 weeks can be accomplished within 2-hours. This is accomplished because the program drafts the findings in English sentences in seconds. This helps administrators and students make decisions about their analyses quickly.

Money is the third big benefit. School districts’ administrators and students don’t have to hire out statisticians to conduct, interpret, and draft findings—it’s all part of the program.

Case study 1: Grant recipient Needed Analyses and Figures.  A grant recipient sought to describe English and Math scores of their institution and examine these scores by ethnicity and time to graduate. In less than 5 minutes, the following figures and analyses were generated.

Means produced by intellectus statistics

t-test APA table

mean chart Intellectus Statistics

Case study 2: Doctoral Candidate Needed a Moderation Analysis.  A dissertation student sought to examine whether gender moderated the relationship between Extraversion and Emotional Intelligence.

The following verbiage, table, and figure were generated in seconds.

“…Since Extraversion significantly predicted Emotional Intelligence in the simple effects model (condition 1) and the interaction model explained significantly more variance of Emotional Intelligence than the non-interaction model (condition 2), then moderation is supported…This suggests that moving from the Female to Male category of Gender will cause a 0.40 increase in the slope of Emotional Intelligence on Extraversion….”

moderation analysis APA table

Intellectus—SPSS Comparison

A 2015 study (Orfanou, Tselios, and Katsanos, 2015) reported that “perceived usability greatly affects students learning effectiveness and overall learning experience.” The System Usability Scale (SUS) is a widely used, well-researched survey for perceived usability evaluation. The SUS is a self-reported 10-item Likert scale questionnaire that measures overall perceived reliability. Bangor, Kortum, and Miller (2008) cited SUS as a highly robust tool for measuring perceived usability. The perceived usability scores range from zero to 100, where scores under 50 indicate unacceptable usability, 51 to 70 indicate marginal acceptability, and scores above 70 indicate acceptable usability (Albert, W., & Tullis, T, 2013).

In a recent study, Chen, Moran, Sun, and Vu (2018) compared SPSS to Intellectus Statistics (IS) overall Perceived Usability using the SUS scores. The findings indicated that participants rated IS significantly more usable compared to SPSS. The SUS scores for IS level of usability (M = 83.33, SD = 11.74) is considered acceptable, while the SUS scores for SPSS (M = 47.50, SD = 15.67) were statistically lower and considered unacceptable.

Conclusion

The goal is to enable every school administrator and graduate student to easy conduct analyses and have a deeper understanding of findings. Intellectus is a breakthrough technology that automates processes, saves time in drafting findings, saves money in outsourcing work, and has very high perceived usability.

Intellectus is Latin for comprehension. Intellectus Statistics is designed to support understanding, where administrators and students can make decisions from their data analyses in seconds.

References

Albert, W., & Tullis, T.: Measuring the user experience: collecting, analyzing, and presenting usability metrics. Newnes (2013).

Bangor, A., Kortum, P. T., & Miller, J. T.: An empirical evaluation of the system usability scale. Intl. Journal of Human–Computer Interaction, 24(6), 574-594 (2008).

Chen, A.C., Moran, S., Yuting Sun, Y., & Vu, K.L. (In press). Comparison of Intellectus Statistics and Statistical Package for the Social Sciences Differences in User Performance based on Presentation of Statistical Data. Proceedings of the 2018 Human Computer Interaction International conference.

Konstantina Orfanou, K., Tselios, N., & Katsanos, C. (2015). Perceived Usability Evaluation of Learning Management Systems: Empirical Evaluation of the System Usability Scale.  The International Review of Research in Open and Distributed Learning (Vol 16, No.2).

I have a quantitative analysis bias—I think everyone needs statistical literacy to function in society.  To be an intelligent consumer of news you must know about fractions and percentages; yet, unfortunately, many citizens do not have these basic skills.  That’s where educational technology comes into play.  Educational technology learning tools have evolved from the abacus, to whiteboards, to computers, with tons of technology in between and in front of us.  These technologies have allowed us to be more confident in what we’re doing, to learn with ease, to learn faster, and to learn less expensively.

Data science technology has evolved too. Statistical software over the past 40 years, particularly IBM SPSS and SAS, have dominated the education and business markets with smart, easy to use graphical display and quantitative analytics.  Other companies like Tableau have engaged us in data visualization, and Survey Monkey and Qualtrics have allowed us to create questionnaires, describe data, and create basic tables.

But data science is much more than graphical display and quantitative analytics.  I fear that too much time was spent learning the programs, interpreting the output, and presenting the findings, and less attention to thinking about the research methodology, examining the strengths and limitations of a study’s design, thinking about who is electing to be a respondent and who is electing to not participate, how attrition plays a role in the findings, and how to manage the data.  On the back-end, more time and energy should have been given to what the results mean for theory and practice, and how those results fit into the historical context of the subject, and what generalizations, if any, can be made.

If, as a mentor said, that educational technology is about extending human capabilities to be more effective and efficient, then there is a lot more that can be done on the cleaning, conducting, interpreting, and presenting of analyses, leaving more time for the front and back-end of the research enterprise.  Intellectus Statistics is playing a role in that effective and efficient technology.

Intellectus Statistics has a patent-pending process of cleaning the data, comprehensively assessing a tests’ assumptions, interpreting the data, then writing the findings in plain English all in about .125 milliseconds.  Effectiveness—doing the right things—is improved by having all of a test’s assumptions thoroughly assessed and analyses accurately conducted and interpreted, conducting post-hoc tests, interpretations with Bonferroni corrections, all parsimoniously written in English narrative, every time.  Efficiency—doing things with the least waste of time and effort—is improved by automating statistician-like decisions, automatically generating additional tests, tables, and figures, when necessary, and not having to copy, paste, edit, and format tables and figures.

I’m interested in your thoughts about educational technology, data science, Intellectus Statistics, and where the data science field might go from here.

Dr. James Lani, Founder/CEO


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