David Robinson, PhD
David Robinson, PhD
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Chi-Squared Goodness-of-Fit Test on Jamovi + Example Results Section
Learn how to run a chi-squared goodness-of-fit test on Jamovi. We also look at how to check the test assumptions and how to report the results.
zhlédnutí: 35

Video

Chi-Squared Test of Independence on Jamovi + Example Results Section
zhlédnutí 20Před měsícem
Learn how to run a chi-squared test of independence (aka a chi-squared test of association) on Jamovi. We also look at the test assumptions and how to report the results. #jamovi #statistics #statisticstutorial #chisquare #chisquaretest
Independent One-Way ANOVA on Jamovi + Example Results Section
zhlédnutí 22Před měsícem
Learn how to run an independent one-way ANOVA (aka a between-subjects or between-participants one-way ANOVA) on Jamovi. We also look at how to report the assumptions of the test and how to report the results. #jamovi #statistics #statisticstutorial #anova
Independent t-test on Jamovi + Example Results Section
zhlédnutí 17Před měsícem
Learn how to conduct an independent t-test on Jamovi. We also cover how to check and report the assumptions of the test, how to report the results of the t-test, and how to create a graph to represent your results. 0:00 Introduction 1:01 Entering the data 1:21 Setting up the file 2:40 Checking the normality assumption 4:04 Creating a graph 4:18 Running the independent t-test 5:13 Checking the h...
Paired T-Test on Jamovi + Example Results Section
zhlédnutí 53Před měsícem
Learn how to run a paired samples t-test on Jamovi. We also look at how to check and report the test’s assumptions and how to interpret and report the results of the t-test itself. 0:00 Introduction 0:58 Entering the data 1:19 Setting up the file 2:04 Checking the normality assumption 4:15 Running the paired t-test 4:42 Interpreting the results 5:27 Example results section #jamovi #statistics #...
Mann-Whitney U Test on Jamovi + Example Results Section
zhlédnutí 61Před měsícem
Learn how to run a Mann-Whitney U test on Jamovi. We also look at how to interpret and report the results. 0:00 Introduction 0:53 How to enter the data 1:10 How to set up the file 2:36 How to run the Mann-Whitney U test 3:19 How to interpret the results 4:18 Example results section #jamovi #statistics #statisticstutorial #statisticstutorials
Wilcoxon Test on Jamovi + Example Results Section
zhlédnutí 31Před měsícem
Learn how to run a Wilcoxon signed-rank test on Jamovi. We also look at how to interpret and report the results. 0:00 Introduction 0:40 How to enter the data 0:58 Setting up the file 1:38 How to run the Wilcoxon test 2:12 How to interpret the results 2:54 Example results section #jamovi #statistics #statisticstutorial #statisticstutorials
2 x 2 Mixed ANOVA on SPSS Version 29 + Follow-Up Tests + Example Results
zhlédnutí 243Před 3 měsíci
Learn how to run, interpret, and report a 2 x 2 mixed ANOVA on version 29 of SPSS when you have one between-subjects independent variable and one within-subjects independent variable. We also look at how to run, interpret, and report follow-up t-tests. 0:00 Introduction 1:00 How to enter the data 3:06 The assumptions of the ANOVA 4:03 How to check the normality assumption 5:40 How to run the mi...
Kruskal-Wallis Test on SPSS Version 29 + Follow-Up Tests + Example Results
zhlédnutí 161Před 3 měsíci
Learn how to run, interpret, and report a Kruskal-Wallis test on version 29 of SPSS. We also look at how to run, interpret, and report follow-up Mann-Whitney U tests. 0:00 Introduction 1:06 How to enter the data into SPSS 3:19 How to run the Kruskal-Wallis test 4:06 How to interpret the results 4:35 How to generate medians 5:41 How to run follow-up tests 7:19 How to interpret the follow-up test...
One-Way Between-Subjects ANCOVA on SPSS (Version 29) + Example Results Section
zhlédnutí 260Před 3 měsíci
Learn how to run, interpret, and report a one-way between-subjects analysis of covariance (ANCOVA) on version 29 of SPSS. 0:00 Introduction 1:14 How to enter the data into SPSS 3:56 Assumptions of the ANCOVA 4:29 Check normality 6:05 Check linearity and homogeneity of slopes 9:59 Run ANCOVA and check HoV 11:01 Interpret the results 12:30 Example results section 18:15 Graph formatting #spss #sps...
One-Way Repeated Measures ANOVA on SPSS (Version 29) + Example Results Section
zhlédnutí 172Před 3 měsíci
Learn how to run, interpret, and report a one-way repeated measures ANOVA on version 29 of SPSS. We also look at how to run, interpret, and report post-hoc tests and how to make a graph. 0:00 Introduction 0:53 How to enter the data 2:13 How to check the normality assumption 3:35 How to run the ANOVA 6:28 How to interpret the results 7:55 Example results section 12:50 Figure formatting #spss #sp...
One-Way Between-Subjects ANOVA on SPSS (Version 29) + Example Results Section
zhlédnutí 108Před 3 měsíci
Learn how to run, interpret, and write up a one-way between-subjects ANOVA on version 29 of SPSS. We’ll also take a look at how to run, interpret, and report post-hoc tests and how to create a graph. 0:00 Introduction 0.38 How to enter the data 3:56 The assumptions of the test 4:33 How to check the normality assumption 6:56 How to run the ANOVA and post-hoc tests 8:36 How to interpret the ANOVA...
Friedman Test on SPSS (Version 29) + Follow-Up Tests + Example Results Section
zhlédnutí 79Před 3 měsíci
Learn how to run a Friedman test on version 29 of SPSS. We also look at how to interpret and report the results and how to run, interpret, and report follow-up Wilcoxon tests. 0:00 Introduction 1:10 How to enter the data 2:10 How to run the Friedman test 2:48 How to interpret the Friedman test results 3:40 How to run follow-up Wilcoxon tests 4:24 How to interpret the Wilcoxon test results 5:01 ...
Wilcoxon test on SPSS (Version 29) + Example Results Section
zhlédnutí 90Před 3 měsíci
Learn how to run a Wilcoxon signed-rank test on version 29 of SPSS. We also look at how to interpret and report the results and how to create a graph. 0:00 Introduction 1:10 How to enter the data 2:29 How to run the Wilcoxon test 3:06 How to interpret the results 3:53 Example results section 5:41 How to create a graph #spss #spsstutorial #statistics
Mann-Whitney U test on SPSS (Version 29) + Example Results Section
zhlédnutí 162Před 3 měsíci
Learn how to run a Mann-Whitney U test on version 29 of SPSS. We also look at how to interpret and report the results and how to create a graph. 0:00 Introduction 0:54 How to enter the data 3:54 How to run the Mann-Whitney U test 4:49 How to interpret the results 5:14 How to generate medians 6:41 Example results section 9:05 How to create a graph #spss #spsstutorial #statistics
Paired Samples t-test on SPSS (Version 29) + Example Results Section
zhlédnutí 242Před 3 měsíci
Paired Samples t-test on SPSS (Version 29) Example Results Section
Within-Subjects One-Way ANOVA on SPSS + Example Results Section
zhlédnutí 82Před 3 měsíci
Within-Subjects One-Way ANOVA on SPSS Example Results Section
Independent t-test on SPSS (Version 29) + Example Results Section
zhlédnutí 240Před 3 měsíci
Independent t-test on SPSS (Version 29) Example Results Section
Clustered Bar Graphs on SPSS (Between-Subjects and Mixed Designs)
zhlédnutí 74Před 3 měsíci
Clustered Bar Graphs on SPSS (Between-Subjects and Mixed Designs)
Paired T-Test on SPSS + Assumption Check + APA Write Up + Graph
zhlédnutí 1,3KPřed rokem
Paired T-Test on SPSS Assumption Check APA Write Up Graph
Create Bar Graphs on SPSS (Between-Group Designs)
zhlédnutí 702Před rokem
Create Bar Graphs on SPSS (Between-Group Designs)
Independent T-Test on SPSS + Assumption Checks + Graph + APA Write Up
zhlédnutí 1KPřed rokem
Independent T-Test on SPSS Assumption Checks Graph APA Write Up
Check Normality on SPSS (Kolmogorov-Smirnov and Shapiro-Wilk tests, histograms)
zhlédnutí 2,5KPřed 2 lety
Check Normality on SPSS (Kolmogorov-Smirnov and Shapiro-Wilk tests, histograms)
Create Mean (Average) and Sum Variables in SPSS
zhlédnutí 2,2KPřed 2 lety
Create Mean (Average) and Sum Variables in SPSS
Enter Questionnaire/Survey Data into SPSS
zhlédnutí 1,8KPřed 3 lety
Enter Questionnaire/Survey Data into SPSS
Binary Logistic Regression on SPSS With Assumption Checks and APA-Style Write Up
zhlédnutí 30KPřed 3 lety
Binary Logistic Regression on SPSS With Assumption Checks and APA-Style Write Up
Cronbach’s alpha (scale and subscales) on SPSS with Reverse Coding and Write-Up
zhlédnutí 10KPřed 3 lety
Cronbach’s alpha (scale and subscales) on SPSS with Reverse Coding and Write-Up
One-Way MANOVA on SPSS with Assumption Checks and APA Write-Up
zhlédnutí 6KPřed 3 lety
One-Way MANOVA on SPSS with Assumption Checks and APA Write-Up
2 x 2 Between-Participants ANOVA on SPSS with Assumption Checks and Write Up in APA Style
zhlédnutí 2,2KPřed 3 lety
2 x 2 Between-Participants ANOVA on SPSS with Assumption Checks and Write Up in APA Style
Friedman test on SPSS with write up (APA style)
zhlédnutí 4KPřed 3 lety
Friedman test on SPSS with write up (APA style)

Komentáře

  • @nicolien238
    @nicolien238 Před 22 dny

    Hi, I have a question about the U-value , in the video you only tell where you got it from, but what does it mean? How can I explane where the value comes from? And also a question about the mean rank, my teacher told me to also report that in my outcomes, but I don't know what it means en how I can explane it. Can you help me whit tis?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 22 dny

      Hi, thanks for your questions. The U-value measures the difference between the groups’ rank sums. It’s based on comparing each observation from one group with each observation from the other group, counting how often observations from one group are ranked higher than those from the other. Regarding the mean rank, it’s the average of the ranks for each group. Reporting it can help to illustrate which group has higher or lower scores on average.

  • @karenoakes5155
    @karenoakes5155 Před měsícem

    Thank you so much for this video - the information is just what I need to analyse and report on my experimental survey. It was easy to follow with you showing the different boxes up on the screen at the same time. Thanks

  • @sameerzakariya3238
    @sameerzakariya3238 Před měsícem

    Good morning doctor David Please, can you make a video on: How to read, interpret and write the results of non-linear regression in SPSS?? Thank you Best regards Doctor Sameer

  • @math6661
    @math6661 Před měsícem

    Hi there! Your videos have been so helpful! I have a quick question I am currently analysing data for SD-WISE 7 item scale - I placed my pre and post-intervention scores into Shapiro-Wilk and It comes as normally disturbed (p = .032). Following this I would use a paired sample t-test? Just so confused haha any help would be appreciated :)

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před měsícem

      Hi, glad the videos have been helpful! If the p value for the Shapiro-Wilk test is below .05 (e.g., .032), it suggests that the data are not normally distributed. If you find that the variable representing the differences between the pre and post scores is not normally distributed, you could consider doing a non-parametric test instead (e.g., a Wilcoxon test).

    • @math6661
      @math6661 Před měsícem

      @@DavidRobinsonPhD Honestly, thank you so much! Have a lovely week ahead of you!

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před měsícem

      @@math6661 Thanks, you too!

    • @math6661
      @math6661 Před 2 dny

      ​@@DavidRobinsonPhD Hi, sorry to bother you again, but your advice was incredibly helpful last time! I have a question about my statistical analysis. For some of my secondary outcome variables, I used paired t-tests, while others required a Wilcoxon signed-rank test. My dissertation requires me to report confidence intervals alongside effect sizes. I understand that the formula for the effect size in the Wilcoxon signed-rank test is r = z/n, whereas, for the paired t-test, it's the t-statistic divided by the square root of the sample size. Can I use these two methods to calculate effect sizes in my write-up?😁

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 10 hodinami

      @@math6661 That's right, though just remember that you're dividing z by the square root of n to get r. Later versions of SPSS can calculate Cohen's d for you when you run a paired t-test: czcams.com/video/7RXnmQEBguU/video.html

  • @hebarton
    @hebarton Před měsícem

    You're such a wonderful facilitator. Do a tutorial on correlation, regression, and path analysis.

  • @hebarton
    @hebarton Před měsícem

    Good job. Please redo all your statistics tutorials in Jamovi.

  • @dsavkay
    @dsavkay Před měsícem

    Amazing

  • @weareboootifulpeople7943
    @weareboootifulpeople7943 Před 2 měsíci

    thank you!

  • @bulguline
    @bulguline Před 2 měsíci

    thank u i love u

  • @nafich108
    @nafich108 Před 2 měsíci

    Hello Robin, If some assumptions are violated, what will do?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 2 měsíci

      It depends which are violated. Is there a particular assumption you're interested in?

  • @nafich108
    @nafich108 Před 2 měsíci

    Thank you ❤

  • @siobhanhennelly1644
    @siobhanhennelly1644 Před 2 měsíci

    Best Video Ive used, thank you!

  • @anirudhnaig19
    @anirudhnaig19 Před 2 měsíci

    Do you have an example of how to report paired sample t-test in APA format in a table? Thanks

  • @user-tl8uv4co3b
    @user-tl8uv4co3b Před 2 měsíci

    Thank you for this. I have ran the test but I am confused how to interpret the results. I am comparing anxiety scores for parents of autistic and neurotypical children. The three groups in the study are : Mums of autistic children, mums of neurotypical children, and dads of neurotypical children (no dads of autistic children were able to be recruited). I have found a statistically significant difference between mums of autistic children and mums of neurotypical children. But what does not make sense to me, is that if there is no difference between Mums of neurotypical children and Dads of neuorotypical children, then surely there should be a significant difference between Dads of neuortypical children and Mums of autistic children, yet this was found to not be significant. Can my sample size influence this? I had much much fewer Dads take part than mums?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 2 měsíci

      Hi Gemma, thanks for your question. It might relate to the size of the differences. For example, anxiety could be much higher in mums of autistic children than in mums of non-autistic children (hence the significant difference), and it could be only slightly higher in dads of non-autistic children compared to mums of non-autistic children (hence the non-significant difference). In this case, the difference between anxiety in mums of autistic children and dads of non-autistic children would be smaller than the difference between anxiety in mums of autistic children and mums of non-autistic children, which could explain why the differences between these pairs were significant and non-significant, respectively. You would have to look at, e.g., the medians to see whether this is a possible explanation. If not, yes, as you suggest, it could just be that the test has less statistical power when focused on the dads as there are fewer of them.

    • @user-tl8uv4co3b
      @user-tl8uv4co3b Před 2 měsíci

      @@DavidRobinsonPhD Thank you so much this does confirm what I was thinking. Median anxiety for female caregivers of autistic childre n= 32.5, 11.25 = male caregivers of neurotypical children, 7.5= female caregivers of neurotypical children, score out of 100. (higher the number greater the anxiety)

  • @cherrytang182
    @cherrytang182 Před 2 měsíci

    thanks!!!!!!!!

  • @marianoezequielzalazarcarr8927

    Hi david! (I am the guy from Argentina who greeted you earlier in the video of the logistic regresion). My question is about the following: I have carried out the analysis U of mann whitney, the p value is .002, but when it comes to checking the medians, both groups have the same result, as I interpret that?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 2 měsíci

      Hi Mariano, thanks for your question. There's an explanation of this here: stats.oarc.ucla.edu/other/mult-pkg/faq/general/faq-why-is-the-mann-whitney-significant-when-the-medians-are-equal/

  • @mamdudurrahmanakash419
    @mamdudurrahmanakash419 Před 3 měsíci

    Independent variables: - Treatment group (binary) Dependent variables: - the primary outcome, systolic blood pressure (SBP) (continuous) Covariates: - age- Nominal categorical - sex - categorical - smoker status - categorical - baseline systolic blood pressure- continuous (numerical) In this scenario if I wanna see the association between treatment group and the primary outcome, systolic blood pressure (SBP), keeping other covariates what should I put in the place of model and factor box?

  • @dvnc-music
    @dvnc-music Před 3 měsíci

    When do we have to check the logit linearity assumption?

  • @oktavindyutari7409
    @oktavindyutari7409 Před 3 měsíci

    Sorry in advance sir, so when the result of the sig is <0.001 is significant or not?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Yes, usually, values below 0.05 are considered significant. Therefore, a value of less than 0.001 would normally be considered significant.

    • @oktavindyutari7409
      @oktavindyutari7409 Před 3 měsíci

      @@DavidRobinsonPhD omg, thanks a lot sir, i am not confusesd again. Thanks sir

  • @rashamahmoudelgyar9692
    @rashamahmoudelgyar9692 Před 3 měsíci

    Thank you for your informative video. Could you please suggest the correct method for performing ROC curve analysis when combining multiple parameters using SPSS?

  • @yehiaelyamani6943
    @yehiaelyamani6943 Před 3 měsíci

    Many thanks for a clear and informative presentation

  • @porlawright
    @porlawright Před 3 měsíci

    Hi, do you have examples in open source software like Jamovi?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Hi, not yet, though I'm planning to make some videos with Jamovi soon.

  • @marianoezequielzalazarcarr8927

    Thank you very much for your good predisposition! Thanks to your recent explanations I was able to finish the results section of my research! Greetings from Cordoba Capital, Argentina.

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Thanks Mariano, glad it helped!

    • @marianoezequielzalazarcarr8927
      @marianoezequielzalazarcarr8927 Před dnem

      @@DavidRobinsonPhD Hi david! could you pass me any reference that you use to justify the values of multicollinearity?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 11 hodinami

      @@marianoezequielzalazarcarr8927 I probably got the values from Julie Pallant's SPSS Survival Manual

  • @nafich108
    @nafich108 Před 3 měsíci

    Hello Robinson Can you make a video of two-way ANOVA with repeated measures (2 Group Pre and post test design) Thanks in advance

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Thanks for the suggestion. I've added that to my list!

    • @nafich108
      @nafich108 Před 3 měsíci

      @@DavidRobinsonPhD Thank you so much

    • @rashamahmoudelgyar9692
      @rashamahmoudelgyar9692 Před 3 měsíci

      Thank you for your informative video. Could you please suggest the correct method for performing ROC curve analysis when combining multiple parameters using SPSS?

  • @DavidRobinsonPhD
    @DavidRobinsonPhD Před 3 měsíci

    In the example results section, "treatment group" = "treatment 1 group" and "placebo group" = "treatment 2 group".

  • @domgiuliano974
    @domgiuliano974 Před 3 měsíci

    Hi Dr Robinson - this was fantastic. Thank you for your level of detail. Wondering if you have/will do one of these for moderated logistic regression? I'm writing a thesis and have found limited number of videos on this topic?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Thanks Dom! Unfortunately, I haven't created one yet, though will add that to the list.

  • @sirrysif
    @sirrysif Před 3 měsíci

    Thank you for this! :)

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      Thanks for watching!

    • @sirrysif
      @sirrysif Před 3 měsíci

      @@DavidRobinsonPhD your channel is a huge help. If you're ever in Iceland I'll buy you a coffee. :)

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 3 měsíci

      @@sirrysif Sounds good!

  • @francescomacheda2896
    @francescomacheda2896 Před 3 měsíci

    Thanks

  • @user-lp3lj3ls7w
    @user-lp3lj3ls7w Před 4 měsíci

    Really helpful! Thank you very much!~👍

  • @user-tl8uv4co3b
    @user-tl8uv4co3b Před 4 měsíci

    Thank you for another brilliant video. My correlation coefficient is 0.042 (looking at caregiver anxiety and their child's age. the p value is 0.584. How write this up as the p value is not siginificant? n = 176.

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 4 měsíci

      Hi, thanks for your question! If you're following APA guidelines, while p values below .001 are reported as p < .001, other values are reported as they appear in SPSS. E.g., a value of .584 would be reported as p = .584.

    • @user-tl8uv4co3b
      @user-tl8uv4co3b Před 4 měsíci

      ​@@DavidRobinsonPhD Thank you. So can I say there was no significant correlation found rs = 0.042, n =170, p = 0.584.

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 4 měsíci

      @@user-tl8uv4co3b Yes, something like that would work. However, since making this video, I've realised it might be better to present this type of info a little differently: rs(170) = .042, p = .584. Note that in APA style numbers that can't exceed 1, like correlation coeffecients and p values, don't require a 0 before the decimal point.

  • @elnaramammadova8274
    @elnaramammadova8274 Před 4 měsíci

    I greatly benefited from the APA writing style. There are not many resources for getting an example of how to describe the results in APA format. Thanks a lot!

  • @chefberrypassionateresearcher

    One more question. Dont we need to do Dunn's post hoc test?

  • @chefberrypassionateresearcher

    Sir, I have 3 groups. My data is collected on 5 point Likert scale. Each of my construct is formative (not reflective) in nature, therefore there are different items which form a construct. I want to know significant differences between the three groups on each of the formative items of a construct. Shall i do KW test individually for all the items?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 4 měsíci

      Hi Chef, if the items all measure the same constructs, it would be more common to complete the analysis on a variable that represents the sum or the mean of the items. Regarding your other question, yes, you could do a post-hoc test (e.g., Dunn's test) as the Kruskal-Wallis test just tells you whether there's a significant effect of the IV on the DV, not which specific groups differ significantly from each other.

    • @chefberrypassionateresearcher
      @chefberrypassionateresearcher Před 4 měsíci

      @@DavidRobinsonPhD As i said, ,y items are formative in nature, it is not a reflective construct, so how can i combine them to a mean score for the analysis?

  • @phoenixrisingbs
    @phoenixrisingbs Před 4 měsíci

    Hi David, happy to have found your beginner friendly videos that are easy to understand. Im struggling to know if i run cronbachs alpha on the subscales that were created after i computed all the variables for my questionnaires. I know that if a questionnare measures more than one construct that you individually run cronbachs alpha on them but is this the same for subscales within a questionnaire. Thankyou

  • @jiayi3846
    @jiayi3846 Před 4 měsíci

    SAVIOR TATT Thank you Dr. Robinson.

  • @Wubbawub
    @Wubbawub Před 4 měsíci

    Awesome video, thanks a bunch!

  • @tijnbarendsen7306
    @tijnbarendsen7306 Před 5 měsíci

    Does anyone know what to report or what is still relevant when your mdoel is not significant? right now i did it like this: The logistic regression model contained partner strength as dependent variable and SDO as independent variable. The model was not statistically significant X2(1, N = 102) = 0.46, p = .498, indicating that the model was not able to distinguish between the choice for either the stronger or weaker player. The model only explained between 0.5% (Cox and Snell R square) and 1.1% (Nagelkerke R squared) of the variability in the choice of the stronger or weaker player. Results revealed that SDO was not a significant predictor of partner strength W(1) = .456, p = .500. Consequently H3 was not supported. ANd is the Walt mandatory or could i delete that?

  • @illusions3272
    @illusions3272 Před 5 měsíci

    This was very helpful, you are an excellent instructor. Thank you!

  • @Thrishacute
    @Thrishacute Před 5 měsíci

    Dr, if my pretest results are significant between the control and experimental group... should I run a ancova to control the pretest score and see how the post-test score would be? an independent t-test showed significant difference in the pre test...

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 5 měsíci

      Hi, yes, ANCOVAs are often used to do just that.

    • @Thrishacute
      @Thrishacute Před 5 měsíci

      @@DavidRobinsonPhD thank you very much Dr

  • @MM-qk8eg
    @MM-qk8eg Před 5 měsíci

    Wow! This is almost art! Just perfect!! and also, statisticians be cute! 🤷‍♀

  • @RicardoFerreira-le2dz
    @RicardoFerreira-le2dz Před 5 měsíci

    imagine you'd want to add a third column by treatment type. let's say total population. as in total + yes + no diagnosis. how could you do that?

  • @tracyweare9669
    @tracyweare9669 Před 5 měsíci

    Brilliant thanks

  • @tracyweare9669
    @tracyweare9669 Před 5 měsíci

    This is perfect, thanks you've simplified everything. Do you have a similar video showing parametric t tests and the write up?

  • @Flyingsquirrel3am
    @Flyingsquirrel3am Před 6 měsíci

    Thank you, this was really helpful

  • @hellenxu7404
    @hellenxu7404 Před 6 měsíci

    Thank you. should it be written as p=0.005, or simply p<0.05 when reporting in APA style?

    • @DavidRobinsonPhD
      @DavidRobinsonPhD Před 6 měsíci

      In APA style, it's the exact p-value (i.e., with an equals symbol): apastyle.apa.org/instructional-aids/numbers-statistics-guide.pdf

  • @robgriffiths9516
    @robgriffiths9516 Před 6 měsíci

    Very helpful thanks David, you explained that very clearly

  • @jonrrobinson
    @jonrrobinson Před 6 měsíci

    Very informative! Thank you

  • @14-phuongsodanid98
    @14-phuongsodanid98 Před 7 měsíci

    you missed the linearity assumption of multiple linear regression model.

  • @alvinayeoh
    @alvinayeoh Před 7 měsíci

    Hi good day I would like to ask about the interpretation of logistic regression in SPSS, because I did background LR logistic regression and the analysis result provide me some choices on Step 1a, 2a, 3a,4a. Hence, I’m wondering that can I take each step of the value that I want ? Or I only can take the value is in Step 1a while I cannot take the value in step 2a

    • @alvinayeoh
      @alvinayeoh Před 7 měsíci

      typing error : Backward LR