Uploaded October 2020 | Updated September 2026, 2 weeks ago
This video provides a general introduction to the basics of path analysis using manifest variables in AMOS. A copy of the Powerpoint referenced in the video can be downloaded here: drive.google.com/file/d/1U1ExQrBr_EOXioaYij85SKT-lLTXMiYr/view?usp=sharing
A copy of the SPSS data file can be downloaded here: drive.google.com/file/d/1RLAoOJjrF4jHFXHZTQ_3u5lWaYovFX5L/view
A copy of an .amw file with the path diagram can be found here: drive.google.com/file/d/1Tqqt2kaU0CW0Cz-6e5IDHC1xhd_GLRq1/view
For more AMOS videos and resources, see sites.google.com/view/statistics-for-the-real-world/contents/structural-equation-modeling
Location of original article referenced in video: journals.plos.org/plosone/article?id=10.1371/journal.pone.0157013
This video provides a general introduction to the basics of path analysis using manifest variables in AMOS. A copy of the Powerpoint referenced in the video can be downloaded here: drive.google.com/file/d/1U1ExQrBr_EOXioaYij85SKT-lLTXMiYr/view?usp=sharing
A copy of the SPSS data file can be downloaded here: drive.google.com/file/d/1RLAoOJjrF4jHFXHZTQ_3u5lWaYovFX5L/view
A copy of an .amw file with the path diagram can be found here: drive.google.com/file/d/1Tqqt2kaU0CW0Cz-6e5IDHC1xhd_GLRq1/view
For more AMOS videos and resources, see sites.google.com/view/statistics-for-the-real-world/contents/structural-equation-modeling
Location of original article referenced in video: journals.plos.org/plosone/article?id=10.1371/journal.pone.0157013




![Confidence interval around a sample proportion using SPSS (June, 2020)
This video demonstrates how you can easily obtain a confidence interval around sample proportions using SPSS. In this video I focus on demonstration of Clopper-Pearson exact confidence intervals. You can obtain a copy of the data used in the video here: https://drive.google.com/file/d/1OndJ2wuzxTJA0RaVqW7K3r2bXqX81nNs/view?usp=sharing
Note: Clopper-Pearson intervals are formed using the binomial sampling distribution (see https://en.wikipedia.org/wiki/Binomial_proportion_confidence_interval). An alternative method (not shown in the video, but sometimes shown in textbooks) is to use the z-distribution to construct a symmetric interval around the proportion (referred to as normal distribution approximation). That approach, however, is best used when the sample proportion is nearer to .50 [and not very close to 0 or 1] and/or your sample size is large. As your proportion gets closer to 0 or 1 (i.e., the boundaries for proportions), then larger and larger samples would be required to construct symmetric confidence intervals where one of the bounds does not end up falling outside the range of 0 and 1. A Powerpoint (https://drive.google.com/file/d/1IQWDl3OjZzLF8tgI3cNgYVZGb1JaguFy/view?usp=sharing) and Excel (https://drive.google.com/file/d/1eDIE9GDXpQ0vXnbMrz-xKJ3zVMF6Novk/view?usp=sharing) file can be downloaded that goes into more detail regarding using the normal distribution approximation. Confidence interval around a sample proportion using SPSS (June, 2020)](https://i.ytimg.com/vi/BHXS9CYloP0/mqdefault.jpg)



![Using Hayes Process macro with R Studio to test a parallel mediation model (August 2022)
In this video, I extend my discussion of how to perform mediation analysis using Hayes Process macro using R Studio - as begun in my previous video here: https://youtu.be/Id6zjPZoKvo
Specifically, I discussion how to test for parallel mediation using models that do and do not contain covariates using Hayes Process syntax. [Note: All discussion concerning how to find and download the Process macro and activate it is provided in my previous video: https://youtu.be/Id6zjPZoKvo ]
An Excel file (.xls, 1997-2003) containing the data can be downloaded here:
https://drive.google.com/file/d/1Adn0FP1E82v2moLupRAj8EZZ3O09CtaT/view
An Excel file (.xlsx) containing the data can be downloaded here:
https://drive.google.com/file/d/1a42FwMx3jn4RSAtuVgpbWdNAzqtPU7c4/view
A supplemental Powerpoint can be downloaded here:
https://drive.google.com/file/d/1YG3zccr1lP7c73zghrohrHNYrwQUo_wi/view Using Hayes Process macro with R Studio to test a parallel mediation model (August 2022)](https://i.ytimg.com/vi/D-ozA1va3Gw/mqdefault.jpg)

