Paired-Samples T Test with Assumption Tesing using SPSS
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- Опубликовано: 13 июл 2016
- This video demonstrates how to conduct a paired-samples t test (dependent-samples t test) in SPSS including testing the assumptions. The assumptions include the differences between the dependent variables being normally distributed and the absence of outliers.
I was grateful that this video was posted this semester. The information on testing for assumptions was very helpful for my research proposal paper!
Yay!! Dr Grande to the rescue again!! You have been my saviour throughout this course. Thankyou and greetings from Stanthorpe QLD Australia 🇦🇺
Thank you. This was very helpful in understanding paired samples and how to transform and create a new variable.
This was very understandable and I was able to follow along without any confusion about the data.
Now it's Corona time and the video is still helpful. Thank you for your great efforts.
Firstly, the sound quality is MUCH BETTER on the newer videos! Thank you!
Secondly, I chose to watch this video as yet another method of instrument comparison. Also, I'm curious about assumption testing, such as Tukey's or Scheffe's.
This one was very helpful with our homework and very educational. Thanks.
Thank you so much for providing this video; it was really helpful and simple to understand.
Thank you very much! This video is helpful for my thesis!
Thank you for making this video!
Hi Dr. Grande. Best video Ive seen for SPSS! My question is why did you use pre-post and not post-pre for the difference?
This was helpful, thank you
Nice demonstration! Thank you!
You're welcome - thank you for watching -
Greetings,
Could you please recommend me what test or procedure I should follow in a case where there is one single group subjected to 2 experimental treatments (teaching methods for vocabulary acquisition) evaluated in two times (immediate test and delayed test). Assuming that in both treatment process (teaching methods for vocabulary acquisition) the sets of words are different but with the same degree of complexity?
I need to compare the means difference between both methods and determine which teaching method contributes to better gains in regards to retrieved/recalled words through the time.
Thank you,
Very helpful
Thanks a mil!
thank you. really a good video.
You're welcome and thank you for watching -
NICE JOB
Hello, Dr. Grande. When we're in the presence of Paired continuous samples, but the third variable called "difference" is not normally distributed (e.g., both Kolmogorov-Smirnov and Shapiro-Wilk normality tests showing p-values even less than 0.01): (1) Is it meaningful to use this Paired-Samples T-Test?; if not, (2) Is there a non-parametric test in SPSS for paired -continuous- samples? Thanks in advance.
Could I do a paired samples T test with n =6 pre and post even when normality test shows that the data are normally distributed?
I wonder if the tables didn't show normal distribution can you predict that the results would lack significant a between to pre test and post test.
Hello!
I have to compare dyadic traits so I calculated a paired-samples t test.
I am searching for similar traits in partners, so I have to look in the second table, isn`t that true?
What`s the name of that correlation?
hello sir,
Could you please clarify me that there is any relationship between mean value and p-value when we interpret the result using t-test. because, for me there is one calculation that the difference of mean is only 0.5 to 1. but my p-value gives the result that i have to reject the null hypothesis. so that i am little confusing about how to interpret my data.
sir, my sample size is 1080 and distribution is positively skewed, can I still proceed with the paired-sample t-test? The data is about total household healthcare expenses in a year
Thank you
You're welcome, thanks for watching -
Is it OK to repeat a paired sample t test on a subset of the population? Ie only women?
How to find out test value? Where do i get it?
is there any sort of sample size limitation in Paired T test?
is it always before-after for finding out the normality?
Please explain why the values which tested for normality is the difference of pretest and posttest ?
Why not each of pretest and posttest data should be tested ?
Please explain and the references of the theory ?
My Shapiro-Wilk came out as .314 on the difference data. So it's not statistically significant, why does that suggest the data IS normally distributed?
What if there is the outlier?
What should we do with the data if the assumption of normal distribution of the difference variable is not met.
Then we have to do either a Wilcoxon
signed ranks
OR Sign test
Would like to know from u, what if the data is not normal.....which test to use instead of paired t-test.....???
Shagafta Khan wilcoxon signed rank test is the non parametric analogue of paired t test
What test should i use to compare the effects of 3 different drugs on variable outcome (both pre and post test)
Groups: "Drug A" "Drug B" "Drug C"
Test: Pretest and Post-test
@Thomas Eipe if im not mistaken, I think you should use anova because ttest include only 2 groups, if 3 and above you may use anova or other instruments that use 3 groups and above
can you give me a SPSS software? can you please.
Very helpful