I just wanted to say thank you so much. I was struggling with the university tutorials when it came to moving the variables across. They never said to make sure it was in the right order inline with the levels. You made it so simple! Thank you again.
I hope you all find this video useful! If you have any questions, please do drop me an email. And if the video has REALLY helped and you want to buy me a beer, please see www.paypal.com/donate/?hosted_button_id=L692FVF8PNUKU
Jim, how to conduct a test to figure out where these differences lie? Do you have a video on it? OR can you please guide on how to do it cause no one has actually published anything much on that. It is always very vague and hard to understand.
Awesome Video. Very straightforward and easy to follow. The only thing that's missing is checking for normality and sphericity, and which appropriate model to follow thereafter. Thanks for posting!
Hi - thanks for your comment. Sounds like you need a 4 (mice) x 3 (time) mixed ANOVA. If the interaction is significant, it suggests that the mice are behaving differently to other mice across your repeated measure (time). You could follow this up with separate one-way repeated measures ANOVAs, one for each mouse.
Hi Jim, I seem to be having a problem understanding a few things. Correct any phase I get it wrong- firstly before starting we would have to suggest a null hypothesis. So my case study is- There will be no significant difference between a diet with exercise and just a diet. So my two independent variables are diet and exercise. After I would have to check whether it is parametric or not by using the Kolmogorov-Smirnov (K-S) Shapiro-Wilks. Once we have the score than 0.05 we can tell if it is parametric. Then we have to identify whether they are related or unrelated. Now here is the tricky bit where I get stuck... The data I have has info like Body Mass Index with follow up test, for example, baseline value, then week 6 & week 12 and a follow up , weight (the same procedure as BMI) , age, step count (exercise) and what type of program they are in. I am not sure whether I put all this information on Spss and what goes on the within-subject-variables or the between subject factors. On top of that I have to check the interaction between the two factors... I could send you the data so you could tell me what I'm doing wrong. Would you like me to send you the data? Regards
+franci188 Hi - you need to do a separate independent variable for each of your dependent variables. So, for BMI, it seems you have a 3-way mixed design. Your factors here seem to be Exercise (with 2 levels?), Diet (with 2 levels?), and Time (with 3 levels: baseline, 6-week, 12-week). Time is a repeated measure (within-subjects), whereas Exercise and Diet I assume are between-subjects factors. Does that make a little sense?
+franci188 Ummm, well that is quite a broad question, so I am not sure where to start with that one. Is this for your degree course? Do you have any resources from your lecturer for you to start with?
Jim Grange Yes Jim, I'm doing a masters and since i finished uni a few years ago... i haven't done any stats for a very long time. The lecturer told us to look at research papers on how to write it up. We were shown where to click to the anova and t-test but we weren't how to report anything...
Thank you, Jim. I thought it was a bit confusing that the columns were not labelled right at the beginning. However, it just required a bit of patience on my side. As some other colleagues are asking: which post-hoc tests would be more appropriate, and with which type of multiple comparisons correction?
I have 3 groups: -control - Mild lesion -severe lesion They received 2 treatments, saline or L-DOPA: -Salina -L-Dopa I have to analyze the number of cells in two areas of striatum -lateral -medial I would like to know about the interaction between the lesion, the treatment , the areas and the number of cells. It would be a “three way Anova Repeated measures?” I would have to do the two-way repeated-measures anova in spss? How to put all these datas in a SPSS table?
@viridianstar Thanks! Effect sizes-and which to use-are quite a sticky issue in Psychology, so I didn't want to commit anyone to any particular one. I use partial eta squared, which can be obtained by selecting "estimates of effect sizes" in the "options" menu after you have defined your independent variables.
Hi Jim, thanks for the video. I have a question related to test. What if for the time constrain, half of my participants goes through HighSwitch and Low Repeat conditions and another half go through HighRepeat and LowSwitch condition, which means instead of all participants going through all 4 conditions, they go through only 2 condition but still experience each level of each factor. In this type of experimental design, can I still run 2-way repeated measure ANOVA? I look forward for your answer. Thanks, Romisa
In similar cases the investigators when they publish they results they give a p value and say that "Significant difference between groups with 2way repeated measures ANOVA: p
I got your message, but have been very busy with teaching. It is a 3 x 2 x 2 design, as you say in (a). However, if you are just using a difference score (that is, leg strength after 30 minutes minus leg strength at beginning), then it would just be a 3 (group) x 2 (time) design.
No, that is a mixed design as handedness is a between-subjects factor. Your "time" factor is repeated measures (i.e. all participants are tested in the morning *and* afternoon). What you describe is a 2x2 mixed design.
Thank you so much, your video really helped me to understand and interpret ANOVA a little bit more. Just a question, have you got a video using the Mauchley's Test of Sphreicity by any chance? thanks in advance.
Hi! Thank you so much for posting these videos. I do have a question as far as which test to use and what parameters to check. I am doing a mouse study that involves 4 different types of mice, and I have 3 repeated measures for each mouse in the study. I am not sure which type of ANOVA to use to compare the each type of mouse to each other at each of the 3 time points as well as compare the type of mouse to itself across the 3 time points. I am using SPSS for Mac. Thanks in advance!!!!
Hey Jim Thank you so much for your video. I also have a question... I did it just as you've explained but my groups have different Ns (such as g1=31; g2=34; g3=37;) and I think SPSS is only considering the 1st N (g1=31). How can I amend this? I need to consider the different Ns in the statistics.
Yes, it sounds like a 2-way ANOVA (a 3 x 7). I am not sure what you mean by which p-value you need to look for. You will have one p-value associated with your main effect of group, one for the main effect of time, and one for the interaction. All might be relevant for your purposes.
Hi Jim: I have 8 participants who repeated 2 different conditions and are measured over 4 different time points. Is it appropriate for me to use a two ways repeated measures ANOVA or Split ANOVA? The other question is how to perform post hoc test for example, if I find a significance for time? How can I then pin point where is the significance (over the 4 times points)? Your help is greatly appreciated.
Mate, I've been struggling. I got 21 samples (so 1 to 21) and each sample has 7 different concentrations (one of these concentrations is the control). I tried to put the different concentrations as variables, but it didn't work. Then, I also put the samples as variables (so 21 variables) and the concentrations as subjects (7 lines). Nothing works... any tips? cheers. Great videos btw
Please help!!! i have completed a study with 9 subjects, looking at CHO supplementation protocols on exercise performance and capacity. ). For all four trials (visits 2-5) participants ingested or mouth rinsed either a sweetened CHO solution or a water placebo using both protocols. However, lots of my data is non-parametric so i am wondering of there is Is there a non-parametric alternative to the two-way within subjects ANOVA?
That sounds like a mixed design because you have one factor that is between-subjects (age group) and one factor that is within-subjects (time of test, Time 1 - Time 2). Thus, you would do a 2x2 mixed ANOVA.
Dear Jim Grange! If i have 3 group with different treatments and I would like to analyze the values of 1 DV in these groups with the progression of time....(in 7 time points) this repeated measures two-way ANOVA is correct? Furthermore maybe it is a stupid question but which p value is relevant for me in the output window in this case? The interperetation of my results is difficult for me yet....which detail tells me that there is a significant disparity between my treatment groups?
What version of SPSS are you using to run this factorial anova? For a project that I am working on, I need to run a 2*3*4 ANOVA. (Reading achievement level * presentation condition* serial position). Reading achievement is varied between participants with the other two measure are within participants. Do you have any advice on how this model would be best run?
@CognitiveControl If i wanted to compare subjects from a trial for a treatment...with treatment and control groups and then a pre/initial time and a post treatment/followup time, what ANOVA would I conduct? Is it not a 2 x2 repeated measures as in the example here? Thanks.
Hi there, your vids are excellent. Just wondering if you could help me with which type of ANOVA to use. I have four different mood conditions (sad, happy etc.). I am measuring individuals moods at time 1 and am measuring their moods at time 2 after the mood inductions (to see if the mood inductions have worked). The mood measures are questionnaires with four questions on their mood. Is this a two way repeated measures ANOVA or one way repeated measures ANOVA? How would I do this on SPSS?
Hi - it depends on what you mean by "mood conditions". If you mean there are 4 ways to manipulate mood, then it's a 2-way ANOVA with the factors mood condition and time. How to do it in SPSS all depends on whether the factors are manipulated within subjects, between subjects, or whether it's a mixed design.
How can I deal with missing data in repeated measures? I have 23 data sets, but only 9 are fully complete. I don't want to discount all the other data I have collected, is there a way to deal with this?
hi Jim any chance you could make another video displaying how to conduct a 6 (Time) by 2(Game) repeated measures anova with post hoc testing? I'm attempting to determine differences at each 15 minutes of a football game using mechanical load looking at significance between game 1 and each 6 time points (0-15, 15-30, 30-45, 45-60, 75-90) and the same for game 2... along with where the differences lie. would be much appreciated cheers.
Hi Jim, Many thanks. I have a question on a study design. I have three groups of subjects (3 different types of athletes) and each individual is tested under two exercise conditions (condition 1 & condition 2, one week apart - is this one factor with two levels?). At each test day, I look at the immediate pre and post exercise decline in strength. I want to see if the 3 groups respond differently to each exercise condition, both within subject and between subject (groups?). Does this qualify as a 3x2 repeated measures ANOVA? Thanks.
Hi. "Time" is one of your factors, yes (with 2 levels: week 1 and week 2). I'm not sure what you mean by pre- and post-exercise; this could be another factor with 2 levels, or it might just be one dependent variable. If it's the former, you have a 3 (subject group) x 2 (time) x 2 (pre/post exercise) MIXED design, because subject group is between subjects and the other two factors are repeated measures. If it's the latter, you have a 3 (group) x 2 (time) mixed design. Hope that helps.
Thank you for the response. Just to clarify my experiment with an example: On week-1, subject-1 will be measured for maximum leg strength (pre-strength-condition_1), then undergo 30 min of one type of fatiguing exercise (condition-1), and at the end of the 30 minutes will be measured again for maximum leg strength (post-strength-condition_1). I want to find out the loss of strength caused by the 30 min exercise ( this is the difference between the two measurements).On week-2, the same subject will undergo the same experimental setup, this time using a different 30 min fatiguing exercise regime (condition-2). I will then have two measurements on week-2 (pre-strength-condition_2 & post-strength-condition_2) and can calculate the loss of strength. I want to know which fatiguing exercise condition caused the greater loss of strength. This experiment will be done for all subjects in the three groups (cricketers, football players and hockey players). I want to know if loss of strength in each condition is different by group. 1) Does this still qualify as a 3 (subject group) x 2 (time) x 2 (pre/post exercise) MIXED design as you suggested? 2) If I add a third time point for repeated measurements (week-12), will that be 3x3x2 MIXED ? Apologies for the long message!
Hi Jim, is it the same way to work through SPSS for Three-Way Repeated Measures ANOVA? I have 3 Independent Variables - IV 1 has 2 levels, IV 2 has 2 levels, IV 3 has 3 levels. And I have 4 subjects whom each went through all the 12 conditions. This means that I should have 4 rows and 12 columns? And can I just follow the steps that you mentioned in the video to do my analysis? Thank you very much!
+Jim Grange , And how do you perform post-hoc tests in this case? I use SPSS 17.0, and after selecting repeated measures, there´s no post-hoc options to select!
hello, i have 2 time slot, before and during adding food in four treatment , 25 individuals, let me know please how i can perform repeated measurment anova and post hoc please,
hello Sir, can you please show me how to perform 2x2x8 Mixed ANOVA in SPSS between subject factor 2 levels 1)CAI 2) Control, within subject factor 2 levels 1) Injured 2) Uninjured , with 8 levels of directions (AL,A,AM,M,PM,P,PL,L) I am Sports Physio. & i am doing study on tennis players with ankle instability for my Thesis ( masters). I have done the experiment, I have collected the data, but i am facing huge difficulty in feeding it into SPSS and analyzing it. Can you please help me with it. So that i can submit
Any assistance would be great... I am going to run an experiment I think is a 2x2x7. I want to look at learning over 7 trials (7 repeated measures), for 2 factors each with 2 levels. Factor 1: conditioned (trained and untrained) and Factor 2: treatments (food 1 or food 2). Is this a factorial Repeated measure ANOVA, a 3 way ANOVA (food, training & time) or a 2 way ANOVA repeated measure??? Thanks
Hi - it's impossible to tell from the information you give, as you don't mention whether the conditioned and treatments factors are repeated measures or not. If they are ALL repeated measures, then you have a 3-way repeated measures design; if at least one is between-subjects, then it's a 3-way mixed design. Hope that helps!
Jim Grange Thanks Jim! Just to clarify, my results will be repeated measures (proportion of time in correct area for 7 consecutive days), and I will have those results over the 7 days for both factors: conditioned and treatment. Those 2 factors also have 2 levels (conditioned: trained and not trained) and (treatment: food 1 or food 2) so I will have results for 4 groups (trained+food 1; trained+food 2; untrained+food 1 and untrained+food 2). So from what you said as I will have 2 between group factors (treatment and condition) and the repeated measure is the within subjects factor so its a 3-way mixed design??? Thank you again!!!
In my research I have two treatment groups and in each group I have taken measurements of pressure at 3 intervals ie 0, 2, 4, 8 weeks. I want to compare significance between 2 groups. Which test to use? How to say which treatment is better than other?
@@JimGrange. that will tell us that change in pressure compared to previous recording is significant but will it tell that 1 group is significantly better than other?
@@fazeelzubair2787 I do beg your pardon; I misread your question. In that case it's the same analysis but the key statistic is the main effect of group.
I have a trouble with my repeated measures analysis. The Test of within-Subject Effect table shows that there is no significant interaction between two factors: gender and emphasis, but the table did not show the Error calculations cell for this interaction. Therefore, I could not report the "df" value. Any suggestions, please??
+Jim Grange Hi Jim, Thank you for your interest. Could you please provide me with your email?? I just cannot put the results in public for not. Thanks!
+Osama Mahmoud M. Alomari I don't wish to paste my email online as robots can scrape that information. Search my name together with the word Keele and you will find me :)
@cyoungner1a2n Sounds like a mixed factorial design to me, with "group" as a between-subjects variable. I haven't done a vid on that yet, but you may be able to find an alternative in the mean time. Hope that helps!
Hi - happy to buy you a beer - have group work who tell me our study is independent but pps are taking both tests so to me it's repeated - just need confirmation that what I'm doing is right (2 X 2 anova ) DRM studY. Pers test A/B n stimuli vis/audio. Actually I don't know
I just wanted to say thank you so much. I was struggling with the university tutorials when it came to moving the variables across. They never said to make sure it was in the right order inline with the levels. You made it so simple! Thank you again.
got so lost doing a mixed ANOVA for my thesis. this has helped me massively! cheers
I hope you all find this video useful! If you have any questions, please do drop me an email. And if the video has REALLY helped and you want to buy me a beer, please see www.paypal.com/donate/?hosted_button_id=L692FVF8PNUKU
Jim, how to conduct a test to figure out where these differences lie? Do you have a video on it? OR can you please guide on how to do it cause no one has actually published anything much on that. It is always very vague and hard to understand.
Very happy to buy u a beer or more if you could guide me through this one. Please. Thank.
Awesome Video. Very straightforward and easy to follow. The only thing that's missing is checking for normality and sphericity, and which appropriate model to follow thereafter. Thanks for posting!
Hi - thanks for your comment. Sounds like you need a 4 (mice) x 3 (time) mixed ANOVA. If the interaction is significant, it suggests that the mice are behaving differently to other mice across your repeated measure (time). You could follow this up with separate one-way repeated measures ANOVAs, one for each mouse.
Thanks so much for helping me with my dissertation you're a star
Hi Jim,
I seem to be having a problem understanding a few things. Correct any phase I get it wrong- firstly before starting we would have to suggest a null hypothesis. So my case study is- There will be no significant difference between a diet with exercise and just a diet. So my two independent variables are diet and exercise. After I would have to check whether it is parametric or not by using the Kolmogorov-Smirnov (K-S) Shapiro-Wilks. Once we have the score than 0.05 we can tell if it is parametric. Then we have to identify whether they are related or unrelated. Now here is the tricky bit where I get stuck... The data I have has info like Body Mass Index with follow up test, for example, baseline value, then week 6 & week 12 and a follow up , weight (the same procedure as BMI) , age, step count (exercise) and what type of program they are in. I am not sure whether I put all this information on Spss and what goes on the within-subject-variables or the between subject factors. On top of that I have to check the interaction between the two factors... I could send you the data so you could tell me what I'm doing wrong. Would you like me to send you the data?
Regards
+franci188 Hi - you need to do a separate independent variable for each of your dependent variables. So, for BMI, it seems you have a 3-way mixed design. Your factors here seem to be Exercise (with 2 levels?), Diet (with 2 levels?), and Time (with 3 levels: baseline, 6-week, 12-week). Time is a repeated measure (within-subjects), whereas Exercise and Diet I assume are between-subjects factors. Does that make a little sense?
Hi Jim, yes it does help. I'm wondering if you have any tips on how to write the data analysis section and the results?
Jim Grange Hi Jim, yes it does help. I'm wondering if you have any tips on how to write the data analysis section and the results?
+franci188 Ummm, well that is quite a broad question, so I am not sure where to start with that one. Is this for your degree course? Do you have any resources from your lecturer for you to start with?
Jim Grange Yes Jim, I'm doing a masters and since i finished uni a few years ago... i haven't done any stats for a very long time. The lecturer told us to look at research papers on how to write it up. We were shown where to click to the anova and t-test but we weren't how to report anything...
Thank you, Jim. I thought it was a bit confusing that the columns were not labelled right at the beginning. However, it just required a bit of patience on my side. As some other colleagues are asking: which post-hoc tests would be more appropriate, and with which type of multiple comparisons correction?
This was exactly what I needed!
Great!
Thanks Jim, very helpful working on my thesis
I have 3 groups:
-control
- Mild lesion
-severe lesion
They received 2 treatments, saline or L-DOPA:
-Salina
-L-Dopa
I have to analyze the number of cells in two areas of striatum
-lateral
-medial
I would like to know about the interaction between the lesion, the treatment , the areas and the number of cells.
It would be a “three way Anova Repeated measures?”
I would have to do the two-way repeated-measures anova in spss?
How to put all these datas in a SPSS table?
@viridianstar Thanks! Effect sizes-and which to use-are quite a sticky issue in Psychology, so I didn't want to commit anyone to any particular one. I use partial eta squared, which can be obtained by selecting "estimates of effect sizes" in the "options" menu after you have defined your independent variables.
Thank you for your great contribution!Thank you so much again。
Thanks for the video, it was very clear .
Thanks!
Hi Jim, thanks for the video.
I have a question related to test. What if for the time constrain, half of my participants goes through HighSwitch and Low Repeat conditions and another half go through HighRepeat and LowSwitch condition, which means instead of all participants going through all 4 conditions, they go through only 2 condition but still experience each level of each factor. In this type of experimental design, can I still run 2-way repeated measure ANOVA?
I look forward for your answer.
Thanks,
Romisa
In similar cases the investigators when they publish they results they give a p value and say that "Significant difference between groups with 2way repeated measures ANOVA: p
For my analysis I’m trying to click on compare main effects but when I click on options button it doesn’t lead me to a new window
I got your message, but have been very busy with teaching. It is a 3 x 2 x 2 design, as you say in (a). However, if you are just using a difference score (that is, leg strength after 30 minutes minus leg strength at beginning), then it would just be a 3 (group) x 2 (time) design.
No, that is a mixed design as handedness is a between-subjects factor. Your "time" factor is repeated measures (i.e. all participants are tested in the morning *and* afternoon). What you describe is a 2x2 mixed design.
@lendial My pleasure! Glad it helped.
Thank you so much, your video really helped me to understand and interpret ANOVA a little bit more.
Just a question, have you got a video using the Mauchley's Test of Sphreicity by any chance?
thanks in advance.
Yes! Thanks very much for this!
What assumptions would you test before analysing interpreting results?
thanks for the video. Can i use 2 way anova with repeated measures if the sample size of the independent variable are different ?
Hi! Thank you so much for posting these videos. I do have a question as far as which test to use and what parameters to check. I am doing a mouse study that involves 4 different types of mice, and I have 3 repeated measures for each mouse in the study. I am not sure which type of ANOVA to use to compare the each type of mouse to each other at each of the 3 time points as well as compare the type of mouse to itself across the 3 time points. I am using SPSS for Mac. Thanks in advance!!!!
Hey Jim
Thank you so much for your video.
I also have a question... I did it just as you've explained but my groups have different Ns (such as g1=31; g2=34; g3=37;) and I think SPSS is only considering the 1st N (g1=31). How can I amend this? I need to consider the different Ns in the statistics.
thank you, very insightful.
Yes, it sounds like a 2-way ANOVA (a 3 x 7). I am not sure what you mean by which p-value you need to look for. You will have one p-value associated with your main effect of group, one for the main effect of time, and one for the interaction. All might be relevant for your purposes.
Thanx for the video, really helpful.
Glad it helped!
Hi Jim:
I have 8 participants who repeated 2 different conditions and are measured over 4 different time points.
Is it appropriate for me to use a two ways repeated measures ANOVA or Split ANOVA?
The other question is how to perform post hoc test for example, if I find a significance for time? How can I then pin point where is the significance (over the 4 times points)?
Your help is greatly appreciated.
Mate, I've been struggling. I got 21 samples (so 1 to 21) and each sample has 7 different concentrations (one of these concentrations is the control). I tried to put the different concentrations as variables, but it didn't work. Then, I also put the samples as variables (so 21 variables) and the concentrations as subjects (7 lines). Nothing works... any tips? cheers. Great videos btw
Excellent video! Very helpfull!
Hi,
Is there any possibility to add confidence intervals to the plot?
Thanks
Please help!!! i have completed a study with 9 subjects, looking at CHO supplementation protocols on exercise performance and capacity. ). For all four trials (visits 2-5) participants ingested or mouth rinsed either a sweetened CHO solution or a water placebo using both protocols. However, lots of my data is non-parametric so i am wondering of there is Is there a non-parametric alternative to the two-way within subjects ANOVA?
Very helpful--thank you--I only wish you would have gone into effect size & eta squared!
That sounds like a mixed design because you have one factor that is between-subjects (age group) and one factor that is within-subjects (time of test, Time 1 - Time 2). Thus, you would do a 2x2 mixed ANOVA.
Dear Jim Grange!
If i have 3 group with different treatments and I would like to analyze the values of 1 DV in these groups with the progression of time....(in 7 time points) this repeated measures two-way ANOVA is correct? Furthermore maybe it is a stupid question but which p value is relevant for me in the output window in this case? The interperetation of my results is difficult for me yet....which detail tells me that there is a significant disparity between my treatment groups?
What version of SPSS are you using to run this factorial anova? For a project that I am working on, I need to run a 2*3*4 ANOVA. (Reading achievement level * presentation condition* serial position). Reading achievement is varied between participants with the other two measure are within participants. Do you have any advice on how this model would be best run?
@CognitiveControl If i wanted to compare subjects from a trial for a treatment...with treatment and control groups and then a pre/initial time and a post treatment/followup time, what ANOVA would I conduct? Is it not a 2 x2 repeated measures as in the example here? Thanks.
Plz ,
I have a questionnaire and I need use manova but I don't know if I must apply sum or mean of marks to each participant ?
Thank you
Hi there, your vids are excellent. Just wondering if you could help me with which type of ANOVA to use.
I have four different mood conditions (sad, happy etc.). I am measuring individuals moods at time 1 and am measuring their moods at time 2 after the mood inductions (to see if the mood inductions have worked). The mood measures are questionnaires with four questions on their mood. Is this a two way repeated measures ANOVA or one way repeated measures ANOVA? How would I do this on SPSS?
Hi - it depends on what you mean by "mood conditions". If you mean there are 4 ways to manipulate mood, then it's a 2-way ANOVA with the factors mood condition and time. How to do it in SPSS all depends on whether the factors are manipulated within subjects, between subjects, or whether it's a mixed design.
How can I deal with missing data in repeated measures? I have 23 data sets, but only 9 are fully complete. I don't want to discount all the other data I have collected, is there a way to deal with this?
hi Jim any chance you could make another video displaying how to conduct a 6 (Time) by 2(Game) repeated measures anova with post hoc testing? I'm attempting to determine differences at each 15 minutes of a football game using mechanical load looking at significance between game 1 and each 6 time points
(0-15, 15-30, 30-45, 45-60, 75-90) and the same for game 2... along with where the differences lie. would be much appreciated cheers.
Hi Jim,
Many thanks. I have a question on a study design. I have three groups of subjects (3 different types of athletes) and each individual is tested under two exercise conditions (condition 1 & condition 2, one week apart - is this one factor with two levels?). At each test day, I look at the immediate pre and post exercise decline in strength. I want to see if the 3 groups respond differently to each exercise condition, both within subject and between subject (groups?). Does this qualify as a 3x2 repeated measures ANOVA? Thanks.
Hi. "Time" is one of your factors, yes (with 2 levels: week 1 and week 2). I'm not sure what you mean by pre- and post-exercise; this could be another factor with 2 levels, or it might just be one dependent variable. If it's the former, you have a 3 (subject group) x 2 (time) x 2 (pre/post exercise) MIXED design, because subject group is between subjects and the other two factors are repeated measures. If it's the latter, you have a 3 (group) x 2 (time) mixed design. Hope that helps.
Thank you for the response. Just to clarify my experiment with an example: On week-1, subject-1 will be measured for maximum leg strength (pre-strength-condition_1), then undergo 30 min of one type of fatiguing exercise (condition-1), and at the end of the 30 minutes will be measured again for maximum leg strength (post-strength-condition_1). I want to find out the loss of strength caused by the 30 min exercise ( this is the difference between the two measurements).On week-2, the same subject will undergo the same experimental setup, this time using a different 30 min fatiguing exercise regime (condition-2). I will then have two measurements on week-2 (pre-strength-condition_2 & post-strength-condition_2) and can calculate the loss of strength. I want to know which fatiguing exercise condition caused the greater loss of strength. This experiment will be done for all subjects in the three groups (cricketers, football players and hockey players). I want to know if loss of strength in each condition is different by group.
1) Does this still qualify as a 3 (subject group) x 2 (time) x 2 (pre/post exercise) MIXED design as you suggested?
2) If I add a third time point for repeated measurements (week-12), will that be 3x3x2 MIXED ?
Apologies for the long message!
Hi, is it possible to do this analysis and include a covariate e.g look for differences between subjects' age?
Hi Jim, is it the same way to work through SPSS for Three-Way Repeated Measures ANOVA? I have 3 Independent Variables - IV 1 has 2 levels, IV 2 has 2 levels, IV 3 has 3 levels. And I have 4 subjects whom each went through all the 12 conditions. This means that I should have 4 rows and 12 columns? And can I just follow the steps that you mentioned in the video to do my analysis? Thank you very much!
+rikolovee Hi there - yes, you are correct. Although, you might not wish to trust too much the results with such a small sample size :)
+Jim Grange , And how do you perform post-hoc tests in this case? I use SPSS 17.0, and after selecting repeated measures, there´s no post-hoc options to select!
Thank you!!
hello, i have 2 time slot, before and during adding food in four treatment , 25 individuals,
let me know please how i can perform repeated measurment anova and post hoc please,
Thanks!
hello Sir, can you please show me how to perform 2x2x8 Mixed ANOVA in SPSS
between subject factor 2 levels 1)CAI 2) Control, within subject factor 2 levels 1) Injured 2) Uninjured , with 8 levels of directions (AL,A,AM,M,PM,P,PL,L)
I am Sports Physio. & i am doing study on tennis players with ankle instability for my Thesis ( masters). I have done the experiment, I have collected the data, but i am facing huge difficulty in feeding it into SPSS and analyzing it. Can you please help me with it. So that i can submit
What is the critical value for F?
I'm struggling to find a way to display confidence intervals on the final graph. Do you have any idea how to do it?
Saleem Khan Yes, don't use SPSS graphs. They are horrible. I have a video showing you how to format a graph in Excel - check my channel.
Any assistance would be great... I am going to run an experiment I think is a 2x2x7. I want to look at learning over 7 trials (7 repeated measures), for 2 factors each with 2 levels. Factor 1: conditioned (trained and untrained) and Factor 2: treatments (food 1 or food 2). Is this a factorial Repeated measure ANOVA, a 3 way ANOVA (food, training & time) or a 2 way ANOVA repeated measure??? Thanks
Hi - it's impossible to tell from the information you give, as you don't mention whether the conditioned and treatments factors are repeated measures or not. If they are ALL repeated measures, then you have a 3-way repeated measures design; if at least one is between-subjects, then it's a 3-way mixed design. Hope that helps!
Jim Grange Thanks Jim! Just to clarify, my results will be repeated measures (proportion of time in correct area for 7 consecutive days), and I will have those results over the 7 days for both factors: conditioned and treatment. Those 2 factors also have 2 levels (conditioned: trained and not trained) and (treatment: food 1 or food 2) so I will have results for 4 groups (trained+food 1; trained+food 2; untrained+food 1 and untrained+food 2). So from what you said as I will have 2 between group factors (treatment and condition) and the repeated measure is the within subjects factor so its a 3-way mixed design??? Thank you again!!!
Jim Grange yes they are, thanks
Hi, yes in that case it is a 3-way mixed design :)
In my research I have two treatment groups and in each group I have taken measurements of pressure at 3 intervals ie 0, 2, 4, 8 weeks. I want to compare significance between 2 groups. Which test to use? How to say which treatment is better than other?
It would be a mixed factorial ANOVA. The key statistic is the interaction between group and time.
@@JimGrange. that will tell us that change in pressure compared to previous recording is significant but will it tell that 1 group is significantly better than other?
@@fazeelzubair2787 I do beg your pardon; I misread your question. In that case it's the same analysis but the key statistic is the main effect of group.
@@JimGrange. thank you
I have a trouble with my repeated measures analysis. The Test of within-Subject Effect table shows that there is no significant interaction between two factors: gender and emphasis, but the table did not show the Error calculations cell for this interaction. Therefore, I could not report the "df" value. Any suggestions, please??
+Osama Mahmoud M. Alomari That's very odd! Do you have a link to an image of your table so I can look? Or, email it to me.
+Jim Grange
Hi Jim,
Thank you for your interest. Could you please provide me with your email?? I just cannot put the results in public for not.
Thanks!
+Osama Mahmoud M. Alomari I don't wish to paste my email online as robots can scrape that information. Search my name together with the word Keele and you will find me :)
+Jim Grange
I have just emailed you the file. Thanks!
@cyoungner1a2n Sounds like a mixed factorial design to me, with "group" as a between-subjects variable. I haven't done a vid on that yet, but you may be able to find an alternative in the mean time. Hope that helps!
I plan to!
what if I want to do a 2-way repaeted measures ANOVA with missing data? Thanks
Good information here: www.uvm.edu/~dhowell/StatPages/More_Stuff/Missing_Data/Missing.html
No, I haven't, but I may do one!
Yes, it's possible, but I haven't done a video on it. Yet. :)
Do you mean more than 2? Yep, pretty similar.
Ha, thanks :)
Hi - happy to buy you a beer - have group work who tell me our study is independent but pps are taking both tests so to me it's repeated - just need confirmation that what I'm doing is right (2 X 2 anova ) DRM studY. Pers test A/B n stimuli vis/audio. Actually I don't know
Hi Penny - What is the "Pers test A/B@" Do all participants see visual and audio conditions?
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