• ## Summary

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• 00:04

HERSCHEL KNAPP: Welcome to Practical Statisticsfor Nursing Using SPSS.[Practical Statistics for NursingUsing SPSS, Herschel Knapp]This video shows how to process the chi-square test.You can watch the entire video or use the time sliderto navigate directly to any time point.[Chi-Square, Overview]Chi-square assesses the association

• 00:25

HERSCHEL KNAPP [continued]: between categorical variables.This example involves two categorical variables--gender and ED_Entry.Gender contains two categories-- female and male.ED_Entry contains three categories-- walk-in,ambulance, and doctor referral.

• 00:45

HERSCHEL KNAPP [continued]: The chi-square will tell us if there'sa statistically significant correlation between genderand ED_Entry.In other words, if the chi-squarerenders a statistically significant finding,this would indicate that females and malestend to enter the emergency department differently.[Chi-Square, Pretest Checklist]

• 01:08

HERSCHEL KNAPP [continued]: To satisfy the pretest checklist for chi-square,there should be at least five items per cell.We'll be able to verify the cell counts when werun the actual chi-square test.This example uses the data set Ch 12-- Example 01--Chi-Square.sav.

• 01:31

HERSCHEL KNAPP [continued]: This data set contains two categorical variables--the patient's gender and ED_Entry, the waythe patient arrived at the ED.To run the chi-square test, click on Analyze, DescriptiveStatistics, Cross Tabs.

• 01:52

HERSCHEL KNAPP [continued]: Move Gender to Rows and ED_Entry to Columns.Click on Statistics.Select Chi-Square, and click Continue.Next, click on Cells.We'll be using the default observed,which will render the actual counts in each cell.

• 02:15

HERSCHEL KNAPP [continued]: You can also order the data in each cellto be presented in percentages.In this example, for simplicity, we'll select Observed Only.Click Continue, select Display Clustered Bar Charts, click OK,and it'll process.

• 02:38

HERSCHEL KNAPP [continued]: As we examine the table, we can seethat there are at least five elements per cell.This satisfies the pretest criteria.This table suggests that, proportionally, femalesand males enter the ED differently.The real answer lies in the Chi-Square Test table.Here we see a p value of 0.009.

• 03:01

HERSCHEL KNAPP [continued]: Since this is less than 0.05, thissuggests that there is a statistically significantdifference between females and maleswhen it comes to ED_Entry.These findings are reflected in the corresponding bar chart.This concludes this video.

### Video Info

Series Name: Practical Statistics for Nursing Using SPSS

Episode: 15

Publisher: SAGE Publications, Inc.

Publication Year: 2016

Video Type:Tutorial

Methods: Chi-square test, SPSS

### Segment Info

Segment Num.: 1

Persons Discussed:

Events Discussed:

Keywords:

## Abstract

In chapter 15 of his series on nursing statistics, Professor Herschel Knapp presents a method for analyzing categorical variables. Knapp also explains how to run the chi-square process in SPSS.