Channel Title: how2stats Channel Description: I have a *free* textbook called How2statsbook: www.how2statsbook.com. You can download the chapters (1 to 16) as PDF files. The textbook has approximately 400 YouTube videos that are hosted on my other YouTube channel: How2statsbook: https://www.youtube.com/channel/UClow2dWW7y1uO4kK4SxwsjA More chapters to come. How2stats is dedicated to helping people learn about statistics. Some of the videos are more lecture based, while others are relevant to using software for the purposes of conducting statistical analyses. I try to cover topics in a non-mathematical way, so that nearly anyone can understand. I usually try to go the extra mile, so that people can truly understand what the statistical analysis is doing and how it compares to alternative statistical procedures. Finally, I also point out some statistical mistakes that people often make, as well as some tips and tricks to help people get the best results. <video> Interaction Contrast Analysis - Mixed-Design ANOVA in SPSS Description: I demonstrate how to conduct an interaction contrast analysis for a 2x2 mixed-design ANOVA in SPSS. This approach to the analysis is more powerful, because it affords the opportunity to conduct the analysis with a one-tailed test. </video> <video> (Part 2) Confidence Interval Chart in R (Independent Means & CIs) Description: Part 1 of this video can be found here: https://youtu.be/UDbuzpJY5yc To learn more about the nature of confidence intervals, check out my free textbook (Chapter 3): http://www.how2statsbook.com/p/chapters.html Also, check out my textbook's companion YouTube channel: https://www.youtube.com/channel/UClow2dWW7y1uO4kK4SxwsjA </video> <video> Multiple R2 Confidence Intervals - SPSS Description: I demonstrate a procedure to estimate accurate 95% confidence intervals with a syntax file published by Smithson (2001). The procedure is based on the noncentral F-distribution, a distribution shown to procedure more accurate confidence intervals for squared values. https://sites.google.com/site/how2statsdata/Smithson%20%282001%29%20Correct%20confidence%20intervals%20via%20non-centrality%20parameter.sps?attredirects=0&d=1 https://sites.google.com/site/how2statsdata/Smithson%20%282001%29%20confidence%20intervals%20input%20file.sav?attredirects=0&d=1 My textbook can be found (and downloaded) here: www.how2statsbook.com The corresponding YouTube channel is 'how2statsbook': https://www.youtube.com/channel/UClow2dWW7y1uO4kK4SxwsjA </video> <video> Introducing How2statsbook Description: In this video, I introduce and describe my new (and free!) textbook: How2statsbook (online). The free version of the textbook is a series of downloadable PDF chapters with many embedded links to videos to help understand the content of the chapters. You'll find everything at this URL: www.how2statsbook.com </video> <video> Interaction Contrast Analysis - Between-Subjects - SPSS Description: I demonstrate how to perform an interaction contrast analysis in SPSS. This example is based on a 2x2 between-subjects ANOVA context. The main advantage of an interaction contrast is that you can specify the nature of the interaction on the basis of theory, which allows you, some would argue, to conduct a one-tailed interaction analysis - something that is not possible with a regular ANOVA. I describe the nature of interactions in an accessible way in my textbook (Chapter 9): www.how2statsbook. Additionally, you should check out this video: https://www.youtube.com/watch?v=VZeJg_ynfTc&feature=youtu.be </video> <video> Cronbach's Alpha: 95% CIs in SPSS Description: Learn how to estimate 95% confidence intervals for Cronbach's alpha (a.k.a., coefficient alpha) in SPSS. Actually, the procedure can calculate any confidence intervals you specify (e.g., 90%, 95%, 99%). The procedure is accomplished by estimating a two-way mixed model intraclass correlation coefficient, as that statistic is identical to Cronbach's alpha. Here are the two references I mention in the video: Baumgartner, T. A., & Chung, H. (2001). Confidence limits for intraclass reliability coefficients. Measurement in Physical Education and Exercise Science, 5(3), 179-188. Bravo, G., & Potvin, L. (1991). Estimating the reliability of continuous measures with Cronbach's alpha or the intraclass correlation coefficient: toward the integration of two traditions. Journal of clinical epidemiology, 44(4-5), 381-390. </video> <video> Cohen's Kappa: Guidelines for Interpretation Description: I present several published guidelines for interpreting the magnitude of Kappa, also known as Cohen's Kappa. Cohen's Kappa is a standardized measure of agreement between two raters. </video> <video> Guidelines for Interpreting Correlations Description: I discuss Cohen's guidelines for interpreting the magnitude of correlations, as well as newer, empirically derived guidelines for interpreting correlations. Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and individual Differences, 102, 74-78. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. </video> <video> What sample size is required for accurate and confident estimates? Description: I answer this common question in a general sense to help people evaluate the research they might come across online or in the news. This question can be asked in a more sophisticated way in relation to statistical power, as well, which I hope to cover in a series of other videos one day! </video> <video> Paired t-test in R Description: Get the csv (Excel) data file, the R command file, the Results write-up, and a video walking you through the Results write-up with this Buy Me a Coffee (bmc) Link: https://www.buymeacoffee.com/l/ouWPGq8pN In this video, I describe how to test the hypothesis of the difference between two related (paired) means in R. Additionally, I demonstrate how to evaluate the "sufficient" normality assumption associated with the paired samples t-test via skew and kurtosis of the difference scores. For more information on the test of the difference between two means, check-out my (free) How2statsbook (Chapter 6): http://www.how2statsbook.com </video> <video> Pearson Correlation in R Description: Get the csv (Excel) data file, the R command file, the Results write-up, and a video walking you through the Results write-up with this Buy Me a Coffee (bmc) Link: https://www.buymeacoffee.com/l/yUCS5VvNz In this video, I demonstrate how to test the hypothesis of an association between two continuously scored variables. In addition to estimating the Pearson correlation, I demonstrate how to evaluate the "sufficient" normality assumption associated with the Pearson correlation via skew and kurtosis. For more information on the test of the association between two continuously scored variables, check-out my (free) How2statsbook (Chapter 5): http://www.how2statsbook.com/p/chapters.html </video> <video> Independent t-test - R Description: Get the CSV (Excel) data file, the R command file, and the Results write-up with this Buy Me a Coffee (bmc) Link: https://www.buymeacoffee.com/l/0fliqLkcW In this video, I demonstrate how to test the difference between two independent group means with an independent samples t-test in R. In addition to the t-test, I demonstrate how to calculate skew and kurtosis across the groups. I also test the assumption of homogeneity of variance with the Fligner-Killeen test. For more information on the test between two means, check-out my How2statsbook (Chapter 6): http://www.how2statsbook.com/p/chapters.html </video> <video> Does the Flu Shot Work? Statistical Confusion Description: In this video, I try to explain the statistical confusion surrounding the effectiveness of the flu vaccine. </video> <video> Confidence Interval Chart in R (Independent Means & CIs) Description: Part 2 of this video is here: https://youtu.be/6xWji7D6cLw I demonstrate how to create an error-bar chart with 95% confidence intervals for independent means (independent t-test; one-way between-subjects ANOVA) on the basis of a set of two R functions originally created by Thom Baguley. You can download the function file I used in this video here: https://sites.google.com/site/how2statsdata/Mean%20and%2095%20Confidence%20Intervals%20Chart%20-%20Adapated.txt?attredirects=0&d=1 To learn more about the nature of confidence intervals, check out my free textbook (Chapter 3): http://www.how2statsbook.com/p/chapters.html Also, check out my textbook's companion YouTube channel: https://www.youtube.com/channel/UClow2dWW7y1uO4kK4SxwsjA This is the blog site that includes Thom Baguley's function: https://www.r-bloggers.com/independent-measures-between-subjects-anova-and-displaying-confidence-intervals-for-differences-in-means/ </video> <video> Bootstrapping Bug in SPSS - Fix Description: Use the URL below to get the SPPS Fix Pack: https://tinyurl.com/y2oso3xx Use the URL below to get the instructions to install the Fix Pack: https://tinyurl.com/y2rtdumm Here are the examples of the bootstrap syntax I used in the video: 1: Pearson Correlation: PRESERVE. SET RNG=MT MTINDEX=2000000. SHOW RNG. BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES INPUT=ease overall_quality /CRITERIA CILEVEL=95 CITYPE=BCA NSAMPLES=2000 /MISSING USERMISSING=EXCLUDE. CORRELATIONS /VARIABLES=ease overall_quality /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE. RESTORE. 2: Multiple Regression: PRESERVE. SET RNG=MT MTINDEX=2000000. SHOW RNG. BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES TARGET=overall_quality INPUT= interest ease hotness /CRITERIA CILEVEL=95 CITYPE=BCA NSAMPLES=2000 /MISSING USERMISSING=EXCLUDE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT overall_quality /METHOD=ENTER interest ease hotness. RESTORE. 3: Independent Samples t-test: DATASET ACTIVATE DataSet4. PRESERVE. SET RNG=MT MTINDEX=2000000. SHOW RNG. BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES TARGET=accuracy INPUT=group /CRITERIA CILEVEL=95 CITYPE=BCA NSAMPLES=2000 /MISSING USERMISSING=EXCLUDE. T-TEST GROUPS=group(1 2) /MISSING=ANALYSIS /VARIABLES=accuracy /CRITERIA=CI(.95). RESTORE. 4: Paired Samples t-test: DATASET ACTIVATE DataSet1. PRESERVE. SET RNG=MT MTINDEX=2000000. SHOW RNG. BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES INPUT=ratings interest /CRITERIA CILEVEL=95 CITYPE=BCA NSAMPLES=2000 /MISSING USERMISSING=EXCLUDE. T-TEST PAIRS=ratings WITH interest (PAIRED) /CRITERIA=CI(.9500) /MISSING=ANALYSIS. RESTORE. 5: Independent ANOVA with Games-Howell Multiple Comparisons PRESERVE. SET RNG=MT MTINDEX=2000000. SHOW RNG. BOOTSTRAP /SAMPLING METHOD=SIMPLE /VARIABLES TARGET=accuracy INPUT=group /CRITERIA CILEVEL=95 CITYPE=BCA NSAMPLES=2000 /MISSING USERMISSING=EXCLUDE. ONEWAY accuracy BY group /MISSING ANALYSIS /POSTHOC=GH ALPHA(0.05). RESTORE. </video>

Contacts and Links

Description

I have a *free* textbook called How2statsbook: www.how2statsbook.com. You can download the chapters (1 to 16) as PDF files.

The textbook has approximately 400 YouTube videos that are hosted on my other YouTube channel: How2statsbook:

https://www.youtube.com/channel/UClow2dWW7y1uO4kK4SxwsjA

More chapters to come.

How2stats is dedicated to helping people learn about statistics. Some of the videos are more lecture based, while others are relevant to using software for the purposes of conducting statistical analyses.

I try to cover topics in a non-mathematical way, so that nearly anyone can understand. I usually try to go the extra mile, so that people can truly understand what the statistical analysis is doing and how it compares to alternative statistical procedures.

Finally, I also point out some statistical mistakes that people often make, as well as some tips and tricks to help people get the best results.

Videos from channel