Uploaded March 2022 | Updated September 2026, 2 weeks ago
This video is designed to provide a demonstration of an application of multivariate multilevel modeling based on an example provided by Heck et al. (2014; routledge.com/Multilevel-and-Longitudinal-Modeling-with-IBM-SPSS/Heck-Thomas-Tabata/p/book/9780415817110). In this example, I provide a demonstration of multilevel analyses based on survey responses (which are treated as repeated measures within person), where person-level (i.e., Level 2) and organizational level (Level 3) predictors are included as predictors of constructs measured by those survey items.
Note: This video is not intended to be exhaustive and cover all aspects of multilevel modeling strategy nor does it address areas of controversy/debate within the multilevel modeling community.
Here are links to the data and Powerpoint files referenced in the video:
SPSS data in wide format: drive.google.com/file/d/1Ep9WGRCYWmjUKnOA9av1jpzs5cWovWgH
SPSS data in long format: drive.google.com/file/d/1rjfjU5de_pRV3h7XUbUhUpSCRoEYfcPV
Supplemental powerpoint: drive.google.com/file/d/1p7mrM_MUO-i3H0v1wzOlAsEjCXTDIS0o
This video is designed to provide a demonstration of an application of multivariate multilevel modeling based on an example provided by Heck et al. (2014; routledge.com/Multilevel-and-Longitudinal-Modeling-with-IBM-SPSS/Heck-Thomas-Tabata/p/book/9780415817110). In this example, I provide a demonstration of multilevel analyses based on survey responses (which are treated as repeated measures within person), where person-level (i.e., Level 2) and organizational level (Level 3) predictors are included as predictors of constructs measured by those survey items.
Note: This video is not intended to be exhaustive and cover all aspects of multilevel modeling strategy nor does it address areas of controversy/debate within the multilevel modeling community.
Here are links to the data and Powerpoint files referenced in the video:
SPSS data in wide format: drive.google.com/file/d/1Ep9WGRCYWmjUKnOA9av1jpzs5cWovWgH
SPSS data in long format: drive.google.com/file/d/1rjfjU5de_pRV3h7XUbUhUpSCRoEYfcPV
Supplemental powerpoint: drive.google.com/file/d/1p7mrM_MUO-i3H0v1wzOlAsEjCXTDIS0o









![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)
