Scoring DASS 21 scale in PSPP/SPSS
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- Опубликовано: 11 сен 2024
- Hi, in this video, I'll show you how to enter, calculate, and interpret the total scores for the DASS 21 scale which measures depression, anxiety, and stress
DASS 21 with scoring- maic.qld.gov.a...
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I am Dr. S. Rama Gokula Krishnan, Faculty & PhD guide in the School of Social Work, St. Joseph's University, Bengaluru. For access to my research articles, please visit my website: sramagokulakrishnan.godaddysites.com
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thank you so much sir, this literally saved my life.
thank you so much, really needed this, bless.
You're welcome!
i would like to thank you so much , your video saved me :)
Welcome.
Thank you for the explanation sir, highly apreciated it.
You're welcome!
thank you , this video very helpful !, can you make a video on how to analyze dass-21 score using logistic regression method in spss ?
Here you go- ruclips.net/video/EcW9VWJx9t4/видео.html
Thank you (sir).this vedio is very helpful for me,,,Before seeing your vedio,i can't understand how to use dass21 scale in spss? After seeing your vedio,,i think i do it easily inshaallah,, Again,,,, Thank you (sir)
Welcome!
Sir, thank you soo much for the vidio, it helped us a lot🥰clear presentation and easily understandable🥳
Welcome!
thank you very much for this video. really appreciate it.
Welcome!
Thanks for the video sir! Helped me a lot. I have a doubt regarding the categorization of levels, can I classify mild, moderate, severe and extremely severe levels and their percentages based on the classification of those who have depression, anxiety and stress? Or is it correct to use the 5 categories (normal, mild, moderate, severe and extremely severe) to observe the percentages? Thanks a lot in advance!
HI. You need to go by the classification given in the scoring system of the scale and that begins with normal.
Hello Ms. Melissa! I am experiencing the same problem. I want to categorise the total score into 4 levels: no, mild, moderate, and severe. Please reach out to me if you get appropriate solutions to the problem. Thank you in advance.
@@ramagokulakrishnan Thanks a lot for the feedback!
I see, I was doing something wrong. I saw that most studies use the 5 levels to determine the prevalence of symptoms of depression, anxiety and stress even and not the way they were doing, based on who had the symptoms. Once again, thank you!
@@md.golamkibria9397 Hi Mister Golam Kibria! I believe it would not be a problem, I have even seen some studies that chose to reclassify the symptoms into three categories: normal, mild/moderate, severe/very severe, others categorized them as dichotomous responses. However, I think it will depend a lot on the methodology used and the type of statistical test. Hope I helped in some way!
@@melissaribeirosabbagh4884 Thank you Ms. Melissa for your comments.
Very much informative video!
well explained and very helpful, thank you
Thank you.
Thanksss you are a savior
Thank you very much
Welcome!
Thanks so much!!
You're welcome
plz make a video on scoring of PNOSI instrument
Thanks for the vedio Sir.
Assalamualaikom sir! may i please know if there's a range distribution of mean values of DASS21? Like for ex. Normal is 1.00-what value???
Walekum assalam! The mean value is different for depression, anxiety, and stress as they are three different constructs. Therefore, you need to test normality individually for depression, anxiety, and stress. I have a video showing how to do it check for normality. All the best.
@@ramagokulakrishnan Hello again! I just want to clarify if our statistician is right with his computation? What he did is he used weighted mean to compute the result of respondents's scores when classified in depression, anxiety and stress then he interpreted the mean values with the use of DASS21 scoring guide which was the guide in interpreting the scores ex. Normal for depression is 0-4.
@@ramagokulakrishnan ++with this is weighted mean right statistical tool for presenting the respondent's scores when classified in Depression, Anxiety, and stress??
@@ramagokulakrishnan hope you would respond again thank you!! 💖
@@lesyeuxdegamerHi. While weighted average is certainly better than simple average/mean, it would be best if you stuck to interpreting the scores based on the scoring mechanism stated as part of DASS-21.
Legal é o que estou precisando Como posso ter esse vídeo traduzido
Hello again sir! How can i use dass result by the profile of respondents?
I have a question about the scoring scale
0-9 normal
10-13 mild
14-20 moderate
21-27 severe
28 and above extremely severe
But for the scale that i found, the scales are different for each of depression, anxiety and stress.
Why is that ya?
Yes, I checked into other sources and they are totally different. 😓
Hello sir and thank you for your helpful video. I am currently doing an analysis on mental health of e-sports players and I have made use of the DASS-21. I am using SPSS for data analysis of my survey which included Part1: the DASS-21 and Part2: demographic questions including to fill out age, playing experience, daily playing exposure, most games played (variables of interest). Here a quick question for you: The question is about the measure (nominal,ordinal,scale) that is appropriate for what category. Should I put in SPSS for the data regarding the DASS-21 nominal,ordinal,scale? And for the data regarding demographic information (nominal,ordinal,scale)?
Thank you very much as your videos are extremely good to understand!
Hi. As mentioned, SPSS/PSPP both recognize three types of variables- nominal, ordinal, and scale. The 21 items in DASS 21 are all technically ordinal in nature (0-4 rating). Hence, when you enter it in the software under the variable view, you can set those variables to- ordinal under the measure option. However, when you sum all the 21 items to secure the total score, the totalled score is a continuous/scale variable.
As far as the demographic variables are concerned, the type of variable depends on the variable in question and how it was collected. Generally variables such as age (25,26,27), height (5.1, 5.2, 5.3), weight (65,66,67), number of hours playing e-sports, etc., are all measured on scale measure (just raw numbers).
Other socio-demographic variables that are categorical/nominal in nature include variables like gender (male/female/trans) that are in categories.
Finally, some socio-demographic/economic variables might be measured on an ordinal measure too (0- strongly disagree- 4- strongly agree).
Note- SPSPP/PSPP will carry out the data analysis irrespective of the type of variable (measure) you set in.
I hope this answers your question. All the best with your study.
@@ramagokulakrishnan You were of great help again sir! Thank you
@@ramagokulakrishnan A further question for you. As mentioned before, I have 4 variables of interest: age(18-25;26--35;>35), daily playing exposure (10h), playing experience (0-3y; 3-8y, 8-10y, >10y); most games played(Shooting games; non-shooting games). I used three questionnaires in my survey, the DASS-21.(Dep.;Anx.;Stress), the PSS (Stress) and the WEMWBS (mental well-being). I want to analyze in each of the 4 variables (f.ex in age, at what age the stress is highest/lowest and mental well-being is highest/lowest. What would you use? One-way Anova? t-test? I have already created in SPSS the subgroups for each variable.
If you have any questions do not hesitate to mention it in your reply if something was not clear.
Best regards
@@giacomomigliore6506 The kind of tests one performs depends on three major factors
1. The kind of hypotheses one has.
2. The type of variable in question.
3. The normality of data.
The type of hypothesis will determine as to which variable will be treated as the independent variable and which one will be the dependent variable. For example, if a researcher has a hypothesis that there is an association between the age of the respondents and the number of hours of playing video games per week, the age of the respondents will be the independent variable and the hours of playing games will be the dependent variable because it is assumed that with a change in the age of the respondents, their hours of gaming will also change. This is the first step in determining which test to use.
The second step is to check for the type of data that we have. If the independent variable (IV) is categorical (ex: 10-18 years and 19-25 years) and the dependent variable (DV) is also categorical (1-5 hours and 6-12 hours), a chi square test would be ideal. If the IV is categorical(ex: 10-18 years and 19-25 years (only two groups), and the DV is continuous (1,2,3,4,5,6,7 hours...etc), a t-test would be ideal provided there is normality of data. A one way ANOVA is used when the IV has three or more groups (ex 10-18, 19-25, 26-35). If both IV and DV are continuous (age 18,19,20,21...etc and hours 1,2,3,4,5....
etc) and you have normality of data, a Pearson's correlation can be used.
Finally, you need to check for normality of data. Only when there is normality, one should opt for parametric tests like t-test, ANOVA, and Pearson's Correlation. In case there isn't any normality of data, you need to opt for non-parametric tests like Kruskall Wallis test, chi square, spearman's rank correlation, etc.
I have videos on all these on my channel. Have a look. All the best.
Do you have any videos with the same way for GHQ-12 tool ?
Hi dr thank you very much for the clarity, if i may ask this method works the same for any variables with formulae right? for instance (job content- questionnaire) JCQ
Welcome. It depends on the scoring of each scale. Please check the scoring of that particular scale.
I have used a 10-item scale to collect data on smartphone addiction. The scale has 4-point Likert options: 1=strongly disagree, 2= disagree, 3=agree, 4=strongly agree, and the total score ranges from 10 to 40. I want to categorize the score into 4 levels: no, mild, moderate and severe. Can you please help me do the categorization?
You can categorise it into 3 levels since the total is 40. 10-20, 21-30, 31-40. Low, medium, and high. In order to understand how to categorise it, you can watch this video- ruclips.net/video/cI5j-0sFSsY/видео.html
@@ramagokulakrishnan Thank you very much Sir for the explanation and sharing your video as well.
Can u suggest me some videos that shows linear regression model fitted to DASS score with demographic information
Hi. I've made a video on multiple regression analysis using the depression score as the dependent variable. This might be useful- ruclips.net/video/kG0vW-pZ62I/видео.html
SIR THE OVER ALL DASS SCALE SCORE PREDICTS THE CATEGORY MILD MODERATED AND SEVER BUT YOU GAVE THE SAME SCORING FOR SUB SCALE ALSO WHY
This is because each of the three sub scales are separate constructs even though they are part of the same scale. This is how it has to be done as per the instructions in the scale.
Sir iam using a PMSS scale which has 3 subscales its over all score say 1_40 no symptoms 40_80 mild 80_120 moderate 120_160 severe 160 to200 very severe
Can I find the predictors within this scale
@@Angel-rt3de Yes. Your predictors are your independent variables. This includes the age of the respondent, their gender, income etc.
@@ramagokulakrishnan SIR I HAVE SENT MAIL BUT YOU HAVE NOT RESPONDENT PLS I NEED TO CLEAR FEW STAT DOUBTS KINDLY HELP ME SIR
Hi sir. May i ask? I am doing this but only for STRESS scale. Do i need to multiply by 2 also? Cause when i try to do so, the result is quite diff from the actual result. Like it doesn’t really match? Hope you can help sir🥰this is for my thesis
Hi. If you are using the DASS-21 scale then yes, you do need to multiply the total score of each dimension by 2 to secure the final score. However, if you are using a different scale that is only measuring stress, then you need to read the scoring key provided for that particular scale. All the best.
@@ramagokulakrishnan thank you sir🥰🤲🏻
Hello sir. I'm going to analysis level of mental health toward student and i'm using spss to find correlation between mental health toward effect on online learning? So do we need to calculate first and divide 2 then key in into SPSS?
Sir do you multiple by 2 after combine all the items?
Hi. Yes, after you enter the data into SPSS/PSPP, you need to categotise the level of depression, anxiety and stress, as mentioned in the scale.
Yes, because the full DASS scale has 42 items.
@@ramagokulakrishnan hello sir. Do you have email so that i can reach you and ask question about this matter because right now i'm doing thesis?
@@ramagokulakrishnan Sir i do correlation between effect online learning toward the level of mental health students. So IV is effect and DV is the level. For level i use dass 21. So my point is after we know total of dep, anx and stress. Do we need to compute all of the total and put them into correlation?
Why to multiple by 2 please ?
It's because the scoring says so. The original Dass scale has 42 items and this is DASS 21. Hence, to interpret the scores, the total has to be multiplied by 2.
Can I get your contact? I wanna ask some questions to calculate DASS-42. Please, I need your help for my thesis. Thank you, anyway
You can send an email to ramagokulakrishnan@gmail.com
@@ramagokulakrishnan I sent you a message, Sir. Thank you.
Thank you sir for your feedback. I sent you a message in email, because I have one more question🙏
Can you also make video on DQLI?
Sure. I'll try and make one when I find time.
Thank you so much!
Thank you so much