Episode #17: FUN with stats
In higher ed and academia we recognize that imposter syndrome is definitely a thing, but this can be tackled by doing the work, learning, and continuing to DO THE THINGS. One of the things we are working on and learning about these days are STATS! We talk about research and statistical prep on episode no. 17.
FUN with Stats
In higher ed and academia we recognize that imposter syndrome is definitely a thing, but this can be tackled by doing the work, learning, and continuing to DO THE THINGS. One of the things we are working on and learning about these days are STATS! That is, examining statistics in research methods we are reading about in empirical literature while we consider develop our own research design. Just because you have a terminal degree (PhD, EdD or MFA), you should not terminate your research methods learning! In this episode we chat about stats, research design, data analysis, and how we’re still learning about stats. We also think doing the work, critically looking at research methods and meaning, and applying these sounds statistical methods into practice is a PROCESS ... it takes time and effort. Keep at it! You can do it!
A few platforms we mentioned for data analysis:
- R Studio https://www.rstudio.com/ + Cookbook for R
- SAS OnDemand for Academics https://www.sas.com/en_us/software/on-demand-for-academics.html
- Python https://www.python.org/
- SPSS https://www.ibm.com/analytics/us/en/technology/spss/
The thing about correlation ... is not causation:
- Values of the Pearson R Correlation
- What a p-value tells you about statistical data
- What’s a t-test?
- Power and Sample Size calculator
- Inference for Means: Comparing Two Independent Samples
- Designing Clinical Research - Sample Size Calculators
We chat about our graduate prep in statistics (psssst... we learn more by doing), here are a few courses of formal study we experiences:
- Intro (Basic) to Statistics: Survey Development & Instrumentation
- Research Design
- Multiple Regression
- Structural Equation Modelling (SEM)
- Hierarchical Linear Modeling (HLM) - nested data
- Multivariate Analysis
- Ethnographic Methods
- Netnography & Virtual Ethnography
- Big Data & Data Analysis
- Latent Semantic Analysis (text mining)
@BreakDrink Stats Recommendations:
- Discovering Statistics (Formerly Statistics Hell) from Andy Field
- I Heart Stats: Learning to Love Statistics (Sociology) MOOC edx via NotreDameX
- Statistics and probability via Khan Academy
- Probability and Statistics - Self Paced Online Course via Stanford U
- Data Analysis & Statistics via edX MOOC platform
- Statistics and R for the Life Sciences via HarvardX
- Online Advanced Analytics in Higher Ed Grad Cert via ASU
- Data, Analytics, and Learning edX MOOC via UTArlingtonX
- Data Analysis & Presentation Skills via PwC Coursera (try for free)
@BreakDrinK Reads:
Research Design, 3rd Edition - Creswell
Designing and Conducting Mixed Methods Design - Creswell & Plano Clark
Constructing Grounded Theory - Charmaz
Designing & Conducting Ethnographic Research, 2nd - LeCompte & Schensul
Netnography: Redefined - Kozinets
Hamilton: The Revolution (audiobook)
Good Enough Now by Jessica Pettitt
@BreakDrink Podcast Listens/Watches
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