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  • 00:04

    HERSCHEL KNAPP: Welcome to Practical Statisticsfor Nursing Using SPSS.[PRACTICAL STATISTICS FOR NURSING USING SPSS,HERSCHEL KNAPP]This video shows how to process the ANOVA Repeated Measurestest.You can watch the entire video or use the time sliderto navigate directly to any time point.[ANOVA Repeated Measures, Video]The ANOVA Repeated Measures test is quite

  • 00:26

    HERSCHEL KNAPP [continued]: similar to the Paired t Test.Before proceeding, it's recommended that you first viewthe video Ch 09-- Paired t Test.mp4.[ANOVA Repeated Measures, Overview]In terms of setup, the ANOVA Repeated Measure testand the Paired t test are quite similar.Whereas the Paired t test processes data

  • 00:48

    HERSCHEL KNAPP [continued]: from one group over two time points, pretest and post-test,the ANOVA Repeated Measures statisticcan process data from three or more time points.The ANOVA Repeated Measures test will compare the meansfrom Time 1 to Time 2, Time 2 to Time 3,and finally, it'll compare the beginning to the end, Time 1

  • 01:11

    HERSCHEL KNAPP [continued]: to Time 3.[ANOVA Repeated Measures Pretest Checklist]The ANOVA Repeated Measures test has one pretest criteria--Mauchly's test of sphericity.We'll check for this when we run the ANOVA Repeated Measurestest.[ANOVA Repeated Measures Test Run]This example uses the data set Ch 10-- Example 01--

  • 01:35

    HERSCHEL KNAPP [continued]: ANOVA Repeated Measures.sav.This data set contains three variables.Initials is a string variable thatcontains the initials of each participant.Time 1 is a continuous variable containing the mean numberof cigarettes that each participant smokedper day prior to treatment.

  • 01:58

    HERSCHEL KNAPP [continued]: Time 2 is the mean smoking rate at week two,a week after the intervention started.And Time 3 is the mean smoking rate at week three.To run the ANOVA Repeated Measures test,click on Analyze, General Linear Model, Repeated Measures.

  • 02:19

    HERSCHEL KNAPP [continued]: Erase Factor 1 and type in Time.For a number of levels, enter 3, meaningthat we'll be comparing measurementstaken at three time points.Click Add, then click Define.On the Repeated Measures menu, move the variables

  • 02:40

    HERSCHEL KNAPP [continued]: Time 1, Time 2, and Time 3 to within Subjects Variable Time.Be sure to keep these in order.Click on Options.Move Time to Display Means For, check Compare Main Effects,and check Descriptive Statistics.

  • 03:01

    HERSCHEL KNAPP [continued]: Click Continue.On the Repeated Measures menu, click Plots,move Time to the horizontal axis, and click Add.Click Continue.Click OK.And it'll process.[ANOVA Repeated Measures Results]

  • 03:23

    HERSCHEL KNAPP [continued]: We'll begin by assessing the pretest criteria,Mauchly's test of sphercity.We see that the p value is 0.066.Since this is greater than 0.05, thisindicates that there are no statistically significantdifferences between the variances of the data gatheredat the three time points.Hence, this pretest criterion is satisfied.

  • 03:47

    HERSCHEL KNAPP [continued]: Next, inspect the Tests within Subjects' Effects table,focusing on the Time Sphercity Assumed row.Since the p value of 0.015 is less than 0.05,this indicates that at least one of the time pointsis statistically significantly different from another.

  • 04:08

    HERSCHEL KNAPP [continued]: To determine which time point outperformedwhich, we look to the Pairwise Comparisons table.This table reads like the standard ANOVA Post-hoc table.The first pair compares Time 1 to Time 2.Since the p value of 0.010 is less than 0.05,this indicates that there is a statistically significant

  • 04:29

    HERSCHEL KNAPP [continued]: difference between these two time points.The second pair compares Time 2 to Time 3.Since the p value of 0.512 is greater than 0.05,this indicates that there is no statistically significantdifference between these two time points.

  • 04:50

    HERSCHEL KNAPP [continued]: The final pair compares the beginning to the end-- Time 1to Time 3.Since the p value of 0.013 is less than 0.05,this indicates that there is a statistically significantdifference between these two time points.The Estimates table shows the meansfor each of the three weeks.

  • 05:11

    HERSCHEL KNAPP [continued]: These figures will be useful when documenting the results.The mean smoking rates over these three time pointscan be seen graphically on the chart.This concludes this video.

Video Info

Series Name: Practical Statistics for Nursing Using SPSS

Episode: 12

Publisher: SAGE Publications, Inc.

Publication Year: 2016

Video Type:Tutorial

Methods: Analysis of variance, Repeated measures design

Keywords: cigarettes; mathematical computing; mathematical concepts; nursing; Smoking; Software ... Show More

Segment Info

Segment Num.: 1

Persons Discussed:

Events Discussed:

Keywords:

Abstract

In chapter 12 of his series on statistics for nursing using SPSS, Professor Herschel Knapp defines repeated measures. He explains the criteria for the test and demonstrates its execution in SPSS.

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ANOVA Repeated Measures

In chapter 12 of his series on statistics for nursing using SPSS, Professor Herschel Knapp defines repeated measures. He explains the criteria for the test and demonstrates its execution in SPSS.

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