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David Robinson, PhD
Приєднався 3 тра 2016
SPSS made easy.
The videos on the channel were created to teach students how to conduct analyses on SPSS - quickly and easily. They also indicate how to report results in accordance to the guidelines of the American Psychological Association (APA).
They were created by David Robinson (BSc, MSc, PhD) who has tutored life science students since 2010.
The SPSS for Students guide (available in digital and paperback formats) is available on Amazon: amzn.eu/05fdkSo (digital), amzn.eu/8tiZgZQ (paperback). The guide covers t-tests, ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, simple and multiple linear regression, chi-squared tests of independence, and Pearson correlations.It uses real-world examples that college/university students are able to relate to (e.g., how far can people walk after drinking tequila?) and demonstrates how to report results according to APA guidelines.
The videos on the channel were created to teach students how to conduct analyses on SPSS - quickly and easily. They also indicate how to report results in accordance to the guidelines of the American Psychological Association (APA).
They were created by David Robinson (BSc, MSc, PhD) who has tutored life science students since 2010.
The SPSS for Students guide (available in digital and paperback formats) is available on Amazon: amzn.eu/05fdkSo (digital), amzn.eu/8tiZgZQ (paperback). The guide covers t-tests, ANOVAs, ANCOVAs, MANOVAs, MANCOVAs, simple and multiple linear regression, chi-squared tests of independence, and Pearson correlations.It uses real-world examples that college/university students are able to relate to (e.g., how far can people walk after drinking tequila?) and demonstrates how to report results according to APA guidelines.
How to Create a Mean (Average) Variable in Jamovi
Learn how to create a variable in Jamovi that contains values that are the mean (i.e., average) of other variables. For example, if you have a questionnaire, you can follow this procedure to create a variable (i.e., column) that contains values that are the mean of values for individual questionnaire items. We also take a look at reverse coding.
0:00 Introduction
1:57 Reverse Coding
3:59 Creating Mean (Average) Variables
5:14 Accounting for Missing Data
#jamovi #statistics #statisticstutorial #statisticstutorials
0:00 Introduction
1:57 Reverse Coding
3:59 Creating Mean (Average) Variables
5:14 Accounting for Missing Data
#jamovi #statistics #statisticstutorial #statisticstutorials
Переглядів: 42
Відео
How to Create a Sum (Total) Variable in Jamovi
Переглядів 6128 днів тому
Learn how to create a variable in Jamovi that contains values that are the sum (i.e., total) of other variables. For example, if you have a questionnaire, you can follow this procedure to create a variable (i.e., column) that contains values that are the sum of values for individual questionnaire items. We also take a look at reverse coding. 0:00 Introduction 1:50 Reverse Coding 3:38 Creating S...
Pearson Correlation Analysis on Jamovi + Example APA Results Section
Переглядів 5128 днів тому
Learn how to run, interpret, and report a Pearson correlation analysis on Jamovi. 0:00 Introduction 0:53 Checking the Normality Assumption 2:00 Checking the Linearity and Homoscedasticity Assumptions 3:51 Running the Pearson Correlation Analysis 4:11 Interpreting the Results 4:43 Reporting the Results (APA Style) #jamovi #statistics #statisticstutorial #statisticstutorials #correlation
Spearman Correlation on Jamovi + Example APA Results Section
Переглядів 8528 днів тому
Learn how to run a Spearman correlation analysis on Jamovi, interpret the output, and report the results in APA style. 0:00 Introduction 0:59 Enter the data 3:08 Run Spearman Correlation Analysis 3:26 Interpret the Results 4:21 Report the Results (APA Style) #jamovi #statistics #statisticstutorial #statisticstutorials #spearman
Median Split on Jamovi
Переглядів 40Місяць тому
Learn how complete a median split on Jamovi. A median split is when you categorise participants as belonging to one of two groups depending on whether their score is above or below the median. 0:00 Introduction to the example 0:34 Determining the median 1:10 To-do list and completing the median split #jamovi #jamovitutorial #statistics #statisticstutorial
Mean Split on Jamovi
Переглядів 28Місяць тому
Learn how complete a mean split on Jamovi. A mean split is when you categorise participants as belonging to one of two groups depending on whether their score is above or below the mean. 0:00 Introduction to the example 0:44 Determining the mean 1:03 To-do list and completing the mean split #jamovi #jamovitutorial #statistics #statisticstutorial
Reverse Coding on Jamovi
Переглядів 51Місяць тому
Learn how to reverse code questionnaire items on Jamovi. 0:00 Introduction to the example questionnaire 1:18 To-do list and completing the reverse coding procedure #jamovi #jamovitutorial #statistics #statisticstutorial
Cronbach’s Alpha on Jamovi: Calculating, Interpreting, and Reporting
Переглядів 83Місяць тому
Check internal reliability (aka internal consistency) on Jamovi by calculating Cronbach’s alpha. We also look at how to account for items that need to be reverse coded. 0:00 What is Cronbach’s alpha? 0:30 Introduction to example questionnaire 1:47 Importing data from Excel 1:58 Calculating, Interpreting, and Reporting Cronbach’s alpha #jamovi #jamovitutorial #statistics #statisticstutorials
Chi-Squared Goodness-of-Fit Test on Jamovi + Example Results Section
Переглядів 1025 місяців тому
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.
Chi-Squared Test of Independence on Jamovi + Example Results Section
Переглядів 2255 місяців тому
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
Переглядів 3705 місяців тому
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
Переглядів 2235 місяців тому
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
Переглядів 4305 місяців тому
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
Переглядів 7155 місяців тому
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
Переглядів 2595 місяців тому
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
Переглядів 6807 місяців тому
2 x 2 Mixed ANOVA on SPSS Version 29 Follow-Up Tests Example Results
Kruskal-Wallis Test on SPSS Version 29 + Follow-Up Tests + Example Results
Переглядів 3317 місяців тому
Kruskal-Wallis Test on SPSS Version 29 Follow-Up Tests Example Results
One-Way Between-Subjects ANCOVA on SPSS (Version 29) + Example Results Section
Переглядів 5467 місяців тому
One-Way Between-Subjects ANCOVA on SPSS (Version 29) Example Results Section
One-Way Repeated Measures ANOVA on SPSS (Version 29) + Example Results Section
Переглядів 4397 місяців тому
One-Way Repeated Measures ANOVA on SPSS (Version 29) Example Results Section
One-Way Between-Subjects ANOVA on SPSS (Version 29) + Example Results Section
Переглядів 3037 місяців тому
One-Way Between-Subjects ANOVA on SPSS (Version 29) Example Results Section
Friedman Test on SPSS (Version 29) + Follow-Up Tests + Example Results Section
Переглядів 2137 місяців тому
Friedman Test on SPSS (Version 29) Follow-Up Tests Example Results Section
Wilcoxon test on SPSS (Version 29) + Example Results Section
Переглядів 3317 місяців тому
Wilcoxon test on SPSS (Version 29) Example Results Section
Mann-Whitney U test on SPSS (Version 29) + Example Results Section
Переглядів 7727 місяців тому
Mann-Whitney U test on SPSS (Version 29) Example Results Section
Paired Samples t-test on SPSS (Version 29) + Example Results Section
Переглядів 5907 місяців тому
Paired Samples t-test on SPSS (Version 29) Example Results Section
Within-Subjects One-Way ANOVA on SPSS + Example Results Section
Переглядів 2077 місяців тому
Within-Subjects One-Way ANOVA on SPSS Example Results Section
Independent t-test on SPSS (Version 29) + Example Results Section
Переглядів 4847 місяців тому
Independent t-test on SPSS (Version 29) Example Results Section
Clustered Bar Graphs on SPSS (Between-Subjects and Mixed Designs)
Переглядів 2327 місяців тому
Clustered Bar Graphs on SPSS (Between-Subjects and Mixed Designs)
Paired T-Test on SPSS + Assumption Check + APA Write Up + Graph
Переглядів 1,8 тис.Рік тому
Paired T-Test on SPSS Assumption Check APA Write Up Graph
Create Bar Graphs on SPSS (Between-Group Designs)
Переглядів 1,1 тис.Рік тому
Create Bar Graphs on SPSS (Between-Group Designs)
Independent T-Test on SPSS + Assumption Checks + Graph + APA Write Up
Переглядів 1,4 тис.Рік тому
Independent T-Test on SPSS Assumption Checks Graph APA Write Up
Thanks a lot! Good lecture. Please, can the '+' sign be used to add the variables instead of SUM()?
Thanks for your question! Yes, you can do that instead. In the example from the video, it would look like this: =`Item 1`+`Item 2R`+`Item 3`+`Item 4R`+`Item 5`
thanks so much!
Glad it helped!
You are a life saviour explained everything so well
Thanks, I'm glad it helped!
Hello sir! I have a question about reporting p. This is my current report for Spearman's Rho: rs= -.029, n= 165, p My p value was 0.7073, hence wanted to ask which sign to put, lesser than, greater than or equal to?
Hi, thanks for your question. In APA style, it would be p = .707 (without a 0 before the decimal point because p can't exceed 1, and with an italic p)
@@DavidRobinsonPhD Thank you so much! It helped a lot ❤
hello, I would also like to ask what does a negative rank biserial correlation mean?
very helpful, thank you for one of my tests, the medians are all reported as 0.00, do you know why this is so?
Hi, thanks for your question. The median is just the middle value when the values are ordered, so it may be that more than half of your values are 0. E.g., the median would be 0 in the following as the 4th value (i.e., the value in the middle) is 0: 0, 0, 0, 0, 1, 2, 3.
@ thank you for the clarification! In this case, would it be ok for me to compare means instead even though I’m using a non-parametric test
@@sitech-x3r The means might not provide a good reflection of the data if, e.g., you don't have normal distributions. However, you could consider comparing groups in terms of their mean ranks.
@ thank you!
hello, I would like to ask if the wilcoxon test can be used to test a one-tailed hypothesis i.e. for the example, the null hypothesis will be not be accepted and therefore the treatment was able to improve stress levels? thank you for the concise tutorial!
Hi, thanks for your question. I don't think there's a way of telling Jamovi that you have a one-tailed hypothesis. However, you can convert a two-tailed p value into a one-tailed p value by dividing it by 2.
@ thanks for the clarification! I’m assuming the p-value calculated by jamovi is already the two-tailed one?
@@sitech-x3r Yes, that's right.
@ thanks for the clarification!
Thank you for the informative video. I wanted to know if there is any sample size requirement for doing Man-Whitney U Test. Is there any specific number of observations in each group that needs to be met before choosing this test. I would be glad for your help. Thanks!
Hi Inayah, thanks for your question. There isn't a universally accepted minimum sample size. Technically, the test could be completed with just four observations, though larger samples are preferable as you increase the likelihood of detecting differences.
@DavidRobinsonPhD thank you heaps!
well explanatory Doc.
Thanks!
hi David, how would an item be removed if is needed
Hi, analyses based on questionnaire data usually require that you calculate sum or mean scores. I.e., rather than doing analyses on specific items, it's more common to do an analysis on a variable that you create by adding up all of the scores for the individual items or by finding the mean of the scores for the individual items. Therefore, if you needed to remove an item, you could just not include it when creating this variable.
The MSWord doc about how to report is very useful
Thanks David, this video was really helpful - definitely checking out your book! I ran a binary logistic regression with a categorical outcome variable (recovered or not recovered) and hours of treatment (ranging from 0-5). I have the odds ratios for each hour of treatment (e.g., 5.08 times more likely to recover after 1 hour of treatment, etc. for each hour). My question is, how would you suggest I best analyse the data if I wanted to see whether later hours of treatment (3-5 hours) were as important as the earlier hours (0-2)?
Hi Leon, glad you found the video helpful and I hope the book is too if you check it out! Perhaps you could create a new binary variable for hours (e.g., 0 = 0-2 and 1 = 3-5) and then run the analysis again to see whether it has a significant effect on recovery.
Very useful and comprehensive.
6:45 I have just learned that if you have a subcategory that is too small (in my case age group <40 yrs T2Ds represented 18 of 400), then it is better to use another group as a reference with a higher representation in the sample (in my case >60 yrs ).
If i can like this video more than once, i would definitely do. please could you make a brief video on how to interpret a categorical independent variable that contains three or more classes ; how to compare results of these classes to the chosen reference.
Thanks, I'll add that to my list!
@@DavidRobinsonPhD 🤩😍🤩
how to calculate this effect size with cohen's d?
Cohen's d is usually used with parametric tests (e.g., t-tests) rather than with non-parametric tests (e.g., the Wilcoxon test) as it's based on means, which may not be informative when data are not normally distributed.
This was perfect and exactly what I needed to complete my analysis in SPSS using a paired t-test! Instructions were so easy to follow. I LOVE that you included how to explain the results!!! So glad I found your video! Thank you!
Thanks, I'm glad it helped!
Wonderful explanation but i have annoying question if you don't mind Is the focus always on interpreting the odds of "Event To Occur" rather than the odds of "NOT" in logistic regression analysis? because i have watched a video where a person interpret the results as the odds of "not completing a course". So, How can i decide which one to interpret?
Hi, thanks for your question. Typically, we interpret the odds of the "event" occurring (like "completing a course") because that's often the behaviour or outcome of primary interest. However, you can interpret the odds of the opposite event (e.g., "not completing a course") if that aligns better with your research focus or if it's more meaningful for the context. The choice depends on which outcome provides clearer insights for your audience or is most relevant to your study. For example, if you're studying factors that contribute to course dropout rates, it might make more sense to interpret the odds of not completing the course. Conversely, if you're looking at predictors of successful completion, you’d focus on the odds of completing it.
@@DavidRobinsonPhD Thanks for prompt response, highly appreciated. I got it but is there any additional step on spss to make the result represent the likehood of "not"?
@@adlesal24 You could consider recoding your dependent variable (e.g., 0 becomes 1 and 1 becomes 0).
@@DavidRobinsonPhD thank you, i got it.
Thank you for the video. how about of the sig value is written as a dot (.) on one of group and what is lower bound of the trus significance? Is it consider normally distributed since the sig. Value is 0.200?
Thank you for watching the video and for your question! When SPSS shows a dot (.) in the "Sig." value, it usually means there’s insufficient data in that specific group to calculate the significance level, often due to a small sample size. This means the normality test for that group couldn’t be performed, so the result is indeterminate rather than a confirmed outcome. As for the lower bound of true significance, this can depend on the sample size and the test used. Generally, for tests of normality (like Shapiro-Wilk or Kolmogorov-Smirnov), a "Sig." (p-value) of 0.200 or greater suggests that the data do not significantly deviate from a normal distribution, indicating normality. So, yes, if a group has a significance value of 0.200 or higher, it’s usually considered approximately normally distributed.
Great
Thanks!
thank you. it was most comprehensive explanation that can be found.
Thanks, glad it helped!
ANOVAS and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Kruskal-Wallis tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
ANCOVAs and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
ANOVAs and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
ANOVAs and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Friedman tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Wilcoxon tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
T-tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
ANOVAS and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
T-tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
How to create graphs and run a wide range of analyses is covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
T-tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
How to create graphs and complete a range of analyses is covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
T-tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Normality tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
This and a wide range of analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
How to enter questionnaire data and how to run a wide range of analyses is covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Regression and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Cronbach's alpha and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
MANOVAs and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Spearman correlation and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
ANCOVAs and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Pearson correlation and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Regression and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Kruskal-Wallis tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Mann-Whitney U tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Wilcoxon tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
T-tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K
Chi-squared tests and many other analyses are covered in my book, SPSS Made Easy: www.amazon.co.uk/SPSS-Made-Easy-Statistical-Researchers/dp/B0DJGR4Z5K