Search results “One way analysis variance anova”

Demonstration of how to conduct a One-Way ANOVA by hand.

Views: 676995
ArmstrongPSYC2190

Compare the means of three or more samples using a one-way ANOVA (Analysis of Variance) test to calculate the F statistic. This video shows one method for determining F using sums of squares.

Views: 113572
Eugene O'Loughlin

statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!

Views: 199512
statslectures

A description of the concepts behind Analysis of Variance. There is an interactive visualization here: http://demonstrations.wolfram.com/VisualANOVA/ but I have not tried it, and this: http://rpsychologist.com/d3-one-way-anova has another visualization

Views: 421016
J David Eisenberg

This video is an introduction to the one-way analysis of variance (ANOVA), including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. The assumptions of normality and homogeneity of variances are reviewed.

Views: 1197
Todd Grande

In this video, I demonstrate how to perform and interpret a oneway analysis of variance (ANOVA) in SPSS. I do so using two different procedures and describe the benefits of each. one way anova

Views: 583041
how2stats

A brief introduction to one-way Analysis of Variance (ANOVA). I discuss the null and alternative hypotheses and conclusions of the test. I also illustrate the difference between and within group variance using a visual example.
In other related videos, I discuss the ANOVA formulas in detail and work through a real-world example.

Views: 62280
jbstatistics

One Way ANOVA in SPSS - Part 1 (one way analysis of variance - ANOVA). Learn how to conduct the one-way analysis of variance test in this video. This video demonstrates how to conduct a one way ANOVA in SPSS, including running the analysis, Interpreting the output, F test, writing the results in APA format, conducting post hoc tests, and calculating the effect size.
Video Transcript: In this video we'll take a look at how to run the one-way ANOVA in SPSS. ANOVA stands for analysis of variance and it's similar to the independent samples t-test, in that is used to compare independent or unrelated groups. But where the independent samples t compares only two groups, the ANOVA can be used to compare 2, 3, 4, 5, 6, or more groups - as many as you need to test. And on your screen you see an example where we have two variables. We have volume and exam scores. And we used a similar example when we conducted the independent samples t-test. In this example what I've done is I've added a third group to help underscore the relationship between these two tests. And let me show you what I mean here. First of all we have our exam scores variable, as I said, where we have the scores on the exam. This is also known as our dependent variable. And then we have our other variable, volume, where as we take a look at this variable you can see there's three groups, we have 1s, 2s, and 3s. Now if you recall the independent samples t-test had two groups as I had said before and we had 1s and 2s in our variable, our grouping variable. This is also known as our independent variable, the variable that separates or divides people into different groups. This would be what would be required for the t-test, 1s and 2s. But as we have a third group here notice how we added 3s for the third group. And if you had a fourth group you would add 4s, and so on, 5s for 5th group, etc. Now in this study what we had was we had a no music group and then as was the case with the independent t we also had a high volume group, but we added another group, and that was a low volume group. So as a reminder as to the background of this study, we had people who listen to either no volume, they had low volume now, that's our new condition, or they had high volume playing while they were studying. And then the next day they took the exam. And these once again are their exam scores. So we'll use the ANOVA to see if there's a significant difference between these groups, our 1s, 2s, and 3s or our no volume, low volume, and high volume groups. Now the one-way ANOVA, the 'one-way' stands for one independent variable, where in this example, as I said before, the independent variable is volume. And our independent variable consists of three groups: no music, low volume, and high volume. These groups can also be called levels that's l-e-v-e-l-s. So we have three levels to our independent variable. When we start doing ANOVA's we do get this new terminology, like levels which I already mentioned, and instead of an independent variable, which this variable is, it's an independent variable, we also will use the name, factor. And you'll see that when we run the analysis in a minute. There's more than one-way ANOVAs there's also a two-way ANOVA, for example. And if one-way ANOVA means one independent variable, then you can probably guess what a two-way ANOVA means, that would mean two independent variables. Such as we can have volume and then we could have gender, males and females, and then exam scores. But we're just going to focus on the one-way ANOVA here. So the one-way ANOVA will answer the question, Does the volume of background noise while studying for an exam have an impact on exam scores? So we want to know: Does volume make a difference? Do people do better in one or more conditions as compared to another? And we'll run this test using alpha .05 and it's worth noting as well that the ANOVA, unlike the t-test, which we could do a two-tailed test or a one-tailed test, the ANOVA really is one tailed by design for our purposes. So we'll just be using a one-tailed test, but that's the way it's set up to be naturally. OK one last thing too, in this design. Of these 30 people in our study, assume that they were randomly assigned to the three groups. So if I was in the study, for example, whether I received the high volume, low volume, or no volume condition was totally up to chance. That is, we random assignment of people to the respective groups. All right let's go and take a look at how to run the one-way ANOVA.
Lifetime access to SPSS videos: http://tinyurl.com/kuejrzz
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Channel Description: For step by step help with statistics, with a focus on statistics and SPSS. Subscribe today!
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Lifetime access to SPSS videos: http://tinyurl.com/m2532td
ANOVA
Analysis of Variance
One-way ANOVA
F test

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Quantitative Specialists

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prof smith

Visual tutorial on how to calculate analysis of variance (ANOVA) and how to understand it too. The tutorial includes how to interpret the results of an Anova test, f test and how to look up values in the f distribution table. The Anova example is for a one way anova test.
I am rounding in the video, so if you are doing your own calculations you will not get the same exact numbers.
Like MyBookSucks on Facebook!
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PlayList on ANOVA
http://www.youtube.com/course?list=EC3A0F3CC5D48431B3
PlayList On TWO ANOVA
http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp
Created by David Longstreet, Professor of the Universe, MyBookSucks
http://www.linkedin.com/in/davidlongstreet

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statisticsfun

One-way analysis of variance (ANOVA) in SPSS.

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Wouter SMCR

Views: 13371
Evan Ortlieb

statisticslectures.com - where you can find free lectures, videos, and exercises, as well as get your questions answered on our forums!

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statslectures

I look at the calculation formulas and the meaning of the terms in the one-way ANOVA table.
In other related videos, I have a brief introduction to one-way ANOVA, and work through a real world example.

Views: 57269
jbstatistics

SANDHAN visions to promote Distance Education and to take technology to the classroom in 1032 colleges of the state of Gujarat by enabling the students to have access to lectures by leveraging technology optimally and also functions to provide a platform for facilitating academic interaction with all students and teachers simultaneously to disseminate ideas, information and training relevant to higher education.
SANDHAN has proven to be the finest platform even for the lecturers across the state to come up with the vibrancy, vividness and brilliance in their own teaching manner by applying the methods of PowerPoint presentations, using Teletop and several other active and student centered multimedia techniques to utilize the Technology at its best. It helps familiarize with such methodology which is globally prevalent, cost effective, updated and simple to use but at the same time gives an opportunity to use the current methods, to stay connected with the world's best practices and make ICT more acceptable to the Academic Fraternity.

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SANDHAN BISAG

Many more great Excel tutorials linked below:
http://www.youtube.com/playlist?list=PL8004DC1D703D348C&feature=plcp
Be sure to watch my other Excel tutorial videos on my channel, including more advanced techniques
and many useful and practical ones. Be sure to Subscribe and Comment.
Technically you should say Fail to Reject Ho because you have determined there is a lack of evidence against Ho. You have not proven Ho in any significant way. With that said, many introductory courses teach students that they can conclude that we Accept Ho. Please be aware of the nuance regardless of how you choose to phrase the conclusion.
Reject Ho, however, is a stronger statement that we can justifiably make using the laws of probability and the level of significance of the test. When we Reject Ho we are concluding that there is enough evidence against Ho with the state level of significance used. We are willing to accept the chance of making a Type I Error, but we are very clear about the probability of its occurrence, i.e., it is equal to alpha (at least nominally).

Views: 222878
Jalayer Academy

Follow Along with this Excel Sheet: https://drive.google.com/file/d/0BxXGvoyFS1Kpc2p2eU1MV3RDMnc/edit?usp=sharing
Table of Contents: (Click to access)
Experimental Setup: 0:15
The Gist of an ANOVA: 0:49
How to Install The Data Pack: 1:11
How to Run the ANOVA: 1:53

Views: 51800
Nancy Miorelli

A visual explanation and step by step guide on how to calculate a one way ANOVA using SPSS. Tutorial includes an explanation of the results.
Like MyBookSucks on Facebook http://www.Facebook.com/partymorestudyless
Related Videos: PlayList on Two Way Anova http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp

Views: 161576
statisticsfun

The assumptions for One-Way ANOVA require a scale-level dependent variable and a categorical independent variable, typically with three or more levels. Check for outliers, independence, and normality. The non-parametric alternative is the Kruskal-Wallis One Way ANOVA test. The null hypothesis for ANOVA is that the means are the same.
Table of Contents:
00:17 - Requirements for One-Way ANOVA
02:04 - Assumptions
05:05 - NHST Settings
06:59 - Critical Value for One-Way ANOVA
08:23 - Finding the Critical Value
09:04 - Homogeneity of Variance

Views: 9412
RStatsInstitute

http://thedoctoraljourney.com/ This tutorial demonstrates how to conduct a One Way ANOVA in SPSS.
For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.

Views: 395349
The Doctoral Journey

One Way ANOVA in SPSS - Part 2 (one way analysis of variance - ANOVA). Learn how to conduct the one-way analysis of variance test in this video, including running the anova in spss and interpreting the results.
Lifetime access to SPSS videos: http://tinyurl.com/kuejrzz
Video Transcript: the one-way ANOVA. To run the one way ANOVA, we want to go to Analyze and then Compare Means and then select the last option down there, One-Way ANOVA. And the One-Way ANOVA dialog box opens and what we want to do is put our dependent variable, the exam scores, into the Dependent List, and we want to put volume, our independent variable, into the Factor box. And recall that I said that the independent variable in ANOVA can also be called a factor, so that's where this term comes from. OK next we want to go to Options, and then select Descriptive, and then click Continue. And then one more thing we want to do is click on Post Hoc. Under Post Hoc, let's select Tukey. And I'll talk about post hoc tests, such as what they are, when we use them, and so forth, when we discuss our results in just a little while. One other thing worth mentioning here, the default level for the significance level is .05, and since we're using alpha .05, that's what we want to leave this at. If we were going to use alpha of .01, then we would want to change this accordingly. But since we're using .05, we'll leave it as it is. Next click Continue. And then everything looks good here, so let's click OK. And as we do that, our output or viewer window opens. And we have a few tables here. First of all, we have the Descriptives table, and we'll just take a quick glance at that. Notice our three groups here and once again remember the labels are output here, because I created value labels. There are 10 people in each group, this looks good. And notice here no music and low-volume both have means and the 84s, no music 84.9, low-volume 84.2. Whereas the high volume group had a mean at 77.5. So this group, at least in the sample, is definitely lower than these two groups, with the no music group having the best exam performance overall. Now this is just describing the results in the sample; we don't know whether these results are significant yet or not. We'll take a look at that next. Next, we go to our ANOVA table, and this is where we get the results of whether or not the groups are significantly different from one another. That is, does the level of volume in the background played while studying have an impact on exam performance? And with the ANOVA we get an F value, instead of a t, which we got with the t test, but here we get an F, and most importantly as always we have our significance value, or our p-value, and this is what we want to assess to see whether or not the test is statistically significant. And as a reminder our decision rule for assessing this test is as follows using alpha .05, if p is less than or equal to .05, the test is significant, and this indicates that the test scores differ significantly somewhere between the groups. If p is greater than .05, on the other hand, the test is not significant, indicating that the test scores do not differ significantly between the groups. So we want to look at our p-value here, compare it to these two conditions, and see which of the two it falls into. So with a p of .019, it falls into the first condition, since it's less than equal to .05. Therefore, we will conclude that the test is significant, indicating that the test scores differ significantly somewhere between the groups. And we can write our results as follows: the level of volume of music played while studying had a significant impact on exam performance. And what this is saying is the background volume of music played did influence the exam performance. In other words, exam scores differed for different volume groups. And then we have our APA format and notice now we have an F instead of a t since we're using an F-test, which you can see right here. And next we put our degrees of freedom and these degrees of freedom come from this column right here in our table, where we have between groups 2, and within groups 27, and you see here 2, 27. So if you're using APA format, you want to use these two values in your written results. Next we have an F of 4.62 which, when rounding to two decimal places, you can see right here. And finally our p-value is .019, which is reported here in the p value column shown as Sig. And, as always, we could state that p is less than .05, instead of p is equal to .019, although reporting the exact p-value is more informative, and therefore is recommended.
YouTube Channel: https://www.youtube.com/user/statisticsinstructor
Channel Description: For step by step help with statistics, with a focus on SPSS. Subscribe today!
ANOVA in SPSS
one-way ANOVA - SPSS
analysis of variance in SPSS
SPSS ANOVA video
ANOVA
one way ANOVA
ANOVA in SPSS
Analysis of Variance in SPSS

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Quantitative Specialists

Introduction to Statistical Modelling
Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, December 2015.
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These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.
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*Recommended Youtube playback settings for the best viewing experience: 1080p HD
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Content:
Recap: Analysis of Variance (ANOVA)
-Tests if groups (eg genes) differ more than expected by chance
---Eg Compare level of expression between 6 genes
-Expressing the ANOVA model :
-‘Simple ANOVA’ or ‘One-way ANOVA’ (since one grouping is analysed)
Simple ANOVA example: Compare level of expression between 6 genes, 3 observations per gene
-Null hypothesis: groups have same expression levels
-Note: Sometimes model equation simply indicate the effects fitted (non-mathematical notation):
ANOVA table
-One-way ANOVA: Gene versus Expression (Minitab output)
-F statistic compared to an F distribution
-Note:
---F distribution has 2 degrees of freedom (DF)
-----DF1 relates to number of groups (DF=5 here)
-----DF2 relates to sample size (DF=12 here)
-----Use an F(5,12) distribution
---Not essential to understand calculation of F and its DF
---ANOVA on 2 groups gives an identical p-value to a t-test

Views: 2584
The Roslin Institute - Training

ANOVA: Analysis Of Variance
Hey guys it looks like the audio might only be coming through the left channel on this one. Apologies for any inconvenience!
Downloadable ANOVA spreadsheet:
http://zstatistics.files.wordpress.com/2011/07/anova-spreadsheet.xlsx
0:00 Introduction
0:48 Variance and SST
1:40 Exercise 1: Finding SST
3:09 One-way ANOVA
4:48 SSW and SSB
8:10 Exercise 2: Finding SSW and SSB
9:15 F-test
11:45 MS Excel aid

Views: 30141
zedstatistics

Subject:Management
Paper: Quntitative Techniques for Management Decisions

Views: 203
Vidya-mitra

This tutorial shows how to use the statistics application SPSS (formerly known as PASW) to compare the means of several groups (3 in this case) on a single quantitative outcome using a one-way analysis of variance (ANOVA). It also shows how to perform a post-hoc analysis using the Tukey test (or Tukey HSD test, for Honestly Significant Difference).

Views: 32194
Barton Poulson

Using the same example from the Wizard of Oz involving Munchkins and wicked witches in various regions that we used learning ANOVA by hand, we are going to learn about conducting a one-way ANOVA in SPSS. We will create the dataset in SPSS, conduct a one-way ANOVA, and interpret the results, including the post hoc. Let’s take a walk down the yellow brick road and listen for the sounds of the dark side of the moon, to put us in the mood to conduct a one-way ANOVA in SPSS.

Views: 34449
RStatsInstitute

Discover how to calculate a oneway analysis of variance (ANOVA) using Stata. Created using Stata 12. Copyright 2011-2017 StataCorp LLC. All rights reserved.

Views: 60418
StataCorp LLC

This video demonstrates how to conduct a one-way ANOVA (ANOVA: Single Factor) using Excel 2016 Data Analysis Tools. The assumptions for one-way ANOVA are tested using histogram and boxplot graphs.

Views: 41873
Todd Grande

Learn how to conduct one way analysis of variance (ANOVA) and Kruskal Wallis one-way ANOVA. You will also learn how to conduct multiple comparisons using "TukeyHSD" command as well as "aov", "summary", "plot", "attributes" and "kruskal.test" commands. This video is a tutorial for programming in R Statistical Software for beginners.
To access and download the dataset click on the links below:
for Excel format: https://bit.ly/DietWeigthXLS
for Tab Delimited Text File: https://bit.ly/DietWeightTab
Here is a quick overview of the topics addressed in this video:
0:00:12 when is it appropriate to use one-way analysis of variance (ANOVA)
0:00:37 how to conduct an analysis of variance in R using the "aov" command
0:00:42 how to access the help menu in R for one-way analysis of variance (ANOVA)
0:00:52 how to create a boxplot for the data in R
0:01:03 the null hypothesis in one-way analysis of variance (ANOVA)
0:01:16 how to conduct the one way analysis of variance (ANOVA) in R using the "aov" command
0:01:42 how to view ANOVA table and other info in R using "summary" command
0:02:07 how to ask R to let us know what is stored in an object using the "attributes" command.
0:02:23 how to extract certain attributes from an object in R using the dollar sign ($)
0:02:48 how to conduct multiple comparisons/pair-wise comparisons for the analysis of variance in R using the "TukeyHSD" command
0:03:17 how to produce a visual display for the pair-wise comparisons of the analysis of variance in R using "plot" command
0:03:50 how to produce Kruskal-Wallis one-way analysis of variance using ranks in R using the "kruskal.test" command
0:03:56 when is it appropriate to use Kruskal-Wallis one-way analysis of variance for data

Views: 113671
MarinStatsLectures

http://thedoctoraljourney.com/ This tutorial defines an one-way ANOVA, provides examples for when this analysis might be used by a researcher, walks through the process of conducting this analysis, and discusses how to set up an SPSS file and write an APA results section for this analysis.
For more statistics, research and SPSS tools, visit http://thedoctoraljourney.com/.

Views: 31988
The Doctoral Journey

An introduction to Two Way ANOVA (Factorial) also known as Factorial Analysis. Step by step visual instructions organize data to conduct a two way ANOVA. Includes a comparison with One Way ANOVA. Instructions on how to build a mean table.
Playlist on Two Way ANOVA
http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp
Like us on: http://www.facebook.com/PartyMoreStudyLess
David Longstreet Professor of the Universe
Professor of the Universe: David Longstreet http://www.linkedin.com/in/davidlongstreet/
MyBookSucks.Com

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statisticsfun

See how to carry out a one-way non-parametric ANOVA, also known as the Kruskal-Wallis test, in SPSS.
https://global.oup.com/academic/product/research-methods-for-the-biosciences-9780198728498
This video relates to sections 11.3 and 11.4 in the book Research Methods for the Biosciences third edition by Debbie Holmes, Peter Moody, Diana Dine, and Laurence Trueman. The video is narrated by Laurence Trueman.
© Oxford University Press

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Oxford Academic (Oxford University Press)

A one-way ANOVA example. The example and data used here is based on information and summary statistics from:
Grattan-Miscio, K. and Vogel-Sprott, M. (2005). Alcohol, intentional control, and inappropriate behavior: Regulation by caffeine or an incentive. Experimental and Clinical Psychopharmacology, 13:48--55.

Views: 33608
jbstatistics

This video describes two methods of performing a one-way ANOVA using SPSS, including how to interpret post hoc test results.

Views: 115539
Todd Grande

Tips on how to lay out data in order to perform a one-way ANOVA analysis on experimental data
This is part of a series of tutorials designed to help research scientists in the use of certain software applications commonly used in scientific laboratory work.
You can find the entire set of tutorial videos here: http://ehealth.kcl.ac.uk/sites/physiology/
The screencast videos have been made by the author (Dr James Clark, King's College London) in response to common questions raised by students on BSc and MSc courses and are recorded using Camtasia Studio. The content is targeted at students of all levels of undergraduate and postgraduate education as well as professional research scientists.
If you wish to link to this video on another web site please make sure you credit the author and provide a link to the blog site (shown above)
©2013 James Clark, king's College London. All rights reserved.

Views: 127067
Dory Video

One-Way ANOVA วิชา สถิติวิเคราะห์
โดย อาจารย์ พฤกษ์ มหาวิทยาลัยธนบุรี

Views: 7517
Neung Ming

Views: 9070
Darryl Morrell

Learn how to use Excel to generate an ANOVA table to test if there is a significant difference (or not) between the means of three or more samples. This method uses Excel's "Analysis Toolpak" Add-In which needs to be added (how to do this is shown in the video).

Views: 50276
Eugene O'Loughlin

Online lesson: https://faculty.elgin.edu/dkernler/statistics/ch13/13-1.html
In this last video of the course, we introduce One-Way Analysis of Variance (ANOVA), which is actually comparing means from multiple populations.

Views: 1770
Dan Kernler

Views: 109223
Scott Snyder

Many more great Excel tutorials linked below:
http://www.youtube.com/playlist?list=PL8004DC1D703D348C&feature=plcp
Be sure to watch my other Excel tutorial videos on my channel, including more advanced techniques
and many useful and practical ones. Be sure to Subscribe and Comment.

Views: 37407
Jalayer Academy

Tutorial on how to calculate a Two Way ANOVA also known as Factorial Analysis. Step by step visual instructions on how to calculate the sum of squares for each factor, total sum of squares, sum of squares between, and sum of squares within (error). Includes how to build the mean table.
Playlist on Two Way ANOVA
http://www.youtube.com/playlist?list=PLWtoq-EhUJe2TjJYfZUQtuq7a0dQCnOWp
Playlist on One Way ANOVA
http://www.youtube.com/course?list=EC3A0F3CC5D48431B3
Like MyBookSucks On FaceBook
http://www.FaceBook.Com/PartyMoreStudyLess

Views: 198743
statisticsfun

This video is an introduction to Friedman’s ANOVA, including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. Friedman’s ANOVA (Friedman’s test) is a nonparametric alternative to one-way analysis of variance (ANOVA). The assumptions of Friedman’s ANOVA are reviewed.

Views: 2728
Todd Grande

This video show how to run the following tutorial that is on our website:
http://www.xlstat.com/en/support/tutorials/ano.htm
The data correspond to an experiment where 4 new toothpaste formulas were each tested on 6 different patients in order to measure their effect on the whiteness of teeth. All patients had previously used the same toothpaste.
Using the ANOVA function of XLSTAT we want to find out if the results differ according to the formula used and, if so, which formula is the most effective. The case is a one-way balanced ANOVA because there is only one factor - the formula - and the number of repetitions is the same for each formula.

Views: 40804
XLSTAT

One Way ANOVA in SPSS - Part 3 (one way analysis of variance - ANOVA). ANOVA Post Hoc Tests are covered in this video on SPSS. Learn how to conduct post hoc tests for the one-way analysis of variance procedure.
Video Transcript: In this video we'll continue with our discussion of the analysis of the one-way ANOVA, and now we're going to focus on post-hoc tests. Recall in our prior video that our test was significant, with a p-value .019, which indicated that there was a significant difference somewhere between these three groups. But we didn't know exactly where the difference existed at this point. So we were going to do post-hoc tests to flush out those differences and see where in fact they are. Now post-hoc tests are conducted after the fact. They are typically only conducted or interpreted after a significant ANOVA. So we so We have a significant result, recall, .019, so that effectively gives us the green light to go and dive in and try and find out where the differences lie between the groups. So post-hoc tests are used to, as I just said, dive in and look for the differences between the groups and, importantly, they test each possible pair of groups. So they test two at a time. So, for example, a post-hoc test will test none versus low volume, and there will be another test that tests none vs high volume, and then there will be a final test that tests low volume versus high volume. So it does all possible pairs, two at a time. The total alpha used for the set of tests is .05, and that's important to keep in mind. It's not .05 per test, but it's .05 in total. And we're using a test which we selected in the previous video under the Post-Hoc button which was called Tukey. We're going to use Tukey's test, and Tukey's test does a good job at keeping the whole set of tests at .05. So the post-hoc tests for Tukey's test there's actually two tables that come out; there's a Post Hoc Tests table, which is labeled Multiple Comparisons, and then there's the Homogeneous Subsets table, which is labeled exam scores. We'll take a look at each of these in turn. So let's start with our Multiple Comparisons result. Now here the way this is organized is that we have our pairs organized from left to right. So, for example, this first test is none versus low volume, and if we scroll over, we can zero in on this column, these are the p-values. So here the p-value is .963. And we use the same decision rule as always, if p is less than equal to .05, there's a significant difference between the groups. If p is greater than .05, there's no significant difference. So here we can see that no music and low volume is not significantly different, since this is greater than .05. OK our next result we read here, diagonally, so we move down diagonally, and this compares the no volume versus high volume. And as we read over we can see that this test is in fact significant at .027. So there's a significant difference between no volume and high volume. Our next result, low volume versus none, if you look at this low volume versus none with the p of .963, you know we've already done this. If you notice it up here, none versus low volume, low volume versus none, these two have the exact same p-values, this is the same test. And this is one of the drawbacks of the multiple comparisons table; it produces actually the same test twice, for each test, and we've seen this one right here, so we're going to ignore this because it tells us the same thing. Next we have low volume versus high volume, and notice that p-value is .049. So that's very close, but it in fact also is significant. So there's a significant difference between the low volume and the high-volume groups. As I move down here, high volume versus none, that test has already been done here, notice the same p value .027. And then high volume low volume, we just read that one right here, with a p of .049. So, in summary, the results we have here are
Lifetime access to SPSS videos: http://tinyurl.com/m2532td
Subscribe today!
Channel Description: For step by step help with statistics, with a focus on statistics and SPSS.

Views: 5306
Quantitative Specialists

How to use SPSS to run one way ANOVA tests

Views: 33330
ProfessorAmiGates

One way analysis of variance (One Way ANOVA) procedures produce an analysis for a quantitative dependent variable affected by a single factor (independent variable). Analysis of variance is used to test the hypothesis that several means are equal. This technique is an extension of the two-sample t test.
The instructions and examples will help guide you through one way anova (analysis of variance).
#myCalStateLA #mycsula #its #SPSS

Views: 30502
MyCalStateLA

Video provides discussion of assumptions for one-way ANOVA. Addresses strategies for assessing violations of assumptions.

Views: 2624
Mike Crowson

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We will need a complete employee job description before we add the classification to the policy. Please do not report payroll in the new classification until it has been reviewed and endorsed to your policy. Job Duties Questionnaire. We recommend you keep a copy of your previous payroll reports and payroll records for at least seven years, as you would your tax records. Submitting Payroll Reports. There are three different ways to submit your payroll reports. State Compensation Insurance Fund P.O. Box 7441 San Francisco, CA 94120-7441. Free payroll reports. Customer Center. Important dates.