## Identifying Multivariate Outliers with Mahalanobis Distance in SPSS

This video demonstrates how to identify multivariate outliers with Mahalanobis distance in SPSS. The probability of the Mahalanobis distance for each case is ...

From Todd Grande

This video demonstrates how to identify multivariate outliers with Mahalanobis distance in SPSS. The probability of the Mahalanobis distance for each case is ...

From Todd Grande

Video examines techniques for detecting multivariate outliers in SPSS.

From Gregory Fulkerson

I describe and discuss the available procedure in SPSS to detect outliers. The procedure is based on an examination of a boxplot. SPSS can identify two ...

From how2stats

This video demonstrates how to identify outliers using SPSS. Two methods are used that generate slightly different results: interquartile range (IOR) and boxplots ...

From Todd Grande

This video explains Mahalanobis distance using SPSS, including calculating probabilities and critical values. Mahalanobis distances are used to identify ...

From Todd Grande

This is a quick tutorial on how to detect influential multivariate outliers in AMOS using the Mahalanobis d-squared value. However, I almost never address ...

From James Gaskin

A quick tutorial on screening for univariate outliers in SPSS.

From Siobhan O'Toole

From Siobhan O'Toole

Lecturer: Jessica Willis Missouri State University Fall 2015 This video covers how to run data screening in SPSS across a series of videos. Lecture materials and ...

From Statistics of DOOM

SPSS tutorial/guide How to remove outliers in SPSS How to select a part of the data to analyze in SPSS (proper term is selecting a subset, or selecting cases to ...

From Phil Chan

This video explains Cook's Distance using SPSS. Cook's Distance is a measure of influence for an observation in a linear regression. The relationship between ...

From Todd Grande

From Eric Schuler

Brief demonstration of detecting outliers for variables in SPSS, using boxplots.

From James Gaskin

A quick video explaining multivariate outliers :)

From New Age Analytics

I demonstrate arguably the most valid way to detect outliers in data that roughly correspond to a normal distribution: the outlier labeling rule. I also point out that ...

From how2stats

Multivariate normality, outliers, influentials in SPSS using cook's distance. BEWARE, there will ALWAYS be multivariate outliers, even after you have removed ...

From James Gaskin

Statistical Data Analysis using SPSS training at PACEgurus by Vamsidhar Ambatipudi on Identifying Outliers.

From Vamsidhar Ambatipudi

Basic intro to factor analysis. Important concepts discussed includes sample size, missing values, dealing with multivariate outliers, univariate and multivariate ...

From Vikas Agrawal

En este vídeo aprenderás paso a paso cómo detectar outliers utilizando el programa estadístico SPSS. Cosas que vas a aprender visualizando este vídeo: 1.

The boxplot serves up a great deal of information about both the center and spread of the data, allowing us to identify skewness and outliers, in a form that is ...

From RStatsInstitute

This video is about outlier detection using cook and leverage values for analyzing multivariate data.Do feel free to contact me on: emailofsony@gmail.com.

From Dr.Michael Sony

Identifying outliers in your data using the Outlier Labeling Technique. This technique is intended for normal distributions but it can be used for non-normal ...

This video demonstrates how to detect outliers using SPSS. Outliers are identified using the interquartile range (IQR) and a boxplot.

From Todd Grande

Detect Multivariate Outliers Using Mahalanobis And Robust-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated ...

Identifying univariate outliers using the 2 standard deviation method in SPSS.

From Math Guy Zero

SPSS programını kullanarak çok değişkenli uç (aykırı) değerleri (Outliers) nasıl bulabileceğinizi SPSS Uç Değer (Outlier) Bulma | Çok Değişkenli Uç Değerler ...

From OfisLab

Techniques fordealing with outliers that may be present in a data distribution. References: Duan, B. (1997). The robustness of trimming and Winsorization when ...

This video demonstrates how to conduct and interpret a multiple linear regression in SPSS including testing for assumptions. The assumptions tested include: ...

From Todd Grande

This video demonstrates how to calculate Mahalanobis distance critical values using Microsoft Excel. Mahalanobis distances are used to identify multivariate ...

From Todd Grande

How to detect outliers using SPSS?

From Dothang Truong

This video demonstrates how to calculate the Modified Z Score in SPSS. The Modified Z Score is calculated using an equation that includes the median ...

From Todd Grande

From how2stats

Ideas for how to handle outliers when fitting a linear regression model to a scatterplot.

From Jeremy Brocklehurst

This video demonstrates how to create and interpret boxplots using SPSS. Boxplots are used to analyze the distribution of scores in variables, including ...

From Todd Grande

From Edward Malthouse

This video demonstrates how to test data for normality using SPSS. The Kolmogorov-Smirnov and Shapiro-Wilk tests are discussed.

From Todd Grande

Residuals - studentized (externally, internally), standardized, and codes in SPSS, Stata, R, SAS. 0:21 What is an outlier in regression? 1:23 Example where a ...

From Phil Chan

This video demonstrates how to conduct and interpret a one-way MANOVA with two dependent variables in SPSS. Methods for testing the assumptions of ...

From Todd Grande

This video demonstrates how test the normality of residuals in SPSS. The residuals are the values of the dependent variable minus the predicted values.

From Todd Grande

I demonstrate how to evaluate a distribution for normality using both visual and statistical methods using SPSS.

From how2stats

SPSS training on Box Plot, Outlier Identification and Elimination by Vamsidhar Ambatipudi.

From Vamsidhar Ambatipudi

From Eric Schuler

From Ehsan Karim

Simple ways to deal with outliers.

From UoRCLSResMethods

Mahalanobis Distance - Outlier Detection for Multivariate Statistics in R.

From Dragonfly Statistics

I discuss and criticize a commonly articulated rule for identifying outliers: the 2 standard deviation above and below the mean rule. I demonstrate why it is ...

From how2stats

Video explains formal methods for finding outliers, influence and leverage points in SAS.

From Krohn - Education

Just a quick guide on detecting multicollinearity in SPSS.

From James Gaskin