Hi, may I ask a question Doc Rene? Is there such thing that the direct effects is significant, the indirect effects is not significant and the total effect is significant? How can I interpret this? The variables in my research are IV-Mindset, M-Psychological Well-Being and DV-Academic Performance. I'm so confused with these, I hope you can help me.
@renenobАй бұрын
Yes, it is possible to observe a scenario where the direct effect is significant, the indirect effect is not significant, and the total effect is significant. This outcome indicates that there is a significant relationship between the independent variable (IV) and the dependent variable (DV) that is not explained by the mediator. Simply put, there is no evidence to support mediation in this case. The mediator does not account for or explain the relationship between the IV and the DV. Interpretation When the indirect effect is not significant, it suggests that the mediator does not significantly contribute to the pathway from the IV to the DV. However, the significant direct effect indicates that the IV influences the DV independently of the mediator. This situation underscores the importance of analyzing the relationships carefully, as the mediator may not play the role initially hypothesized. Example Let’s consider a study examining the impact of study hours (IV) on math achievement (DV), with self-efficacy (Mediator) hypothesized as the mediator: Direct Effect: The analysis shows that study hours have a significant direct effect on math achievement (e.g., β = 0.40, p < 0.05). This means that students who study more hours tend to perform better in math, regardless of their level of self-efficacy. Indirect Effect: The path through self-efficacy (study hours → self-efficacy → math achievement) is not significant (e.g., β = 0.05, p > 0.05). This suggests that self-efficacy does not significantly explain the relationship between study hours and math achievement. Total Effect: The total effect (combining both direct and indirect effects) is significant (e.g., β = 0.45, p < 0.05). This confirms that study hours are still strongly associated with math achievement when considering all possible pathways. How to Interpret In this example: The significant direct effect tells us that study hours independently contribute to math achievement. The non-significant indirect effect indicates that self-efficacy does not mediate this relationship, meaning it does not explain how or why study hours influence math achievement. The significant total effect reflects the overall strength of the relationship between study hours and math achievement, regardless of mediation. This pattern might occur if the mediator is not relevant to the context or if there are other unmeasured mediators influencing the relationship. It can also suggest that the IV has a direct and robust influence on the DV that is not contingent on the mediator.
@kayeee2429 күн бұрын
@@renenob Wow! Thank you so much for this Doc Rene!
@raghadalomari4058Ай бұрын
Thank you!!!
@JeremyAterradoАй бұрын
Hello Doc Rene.. Thank you for this. Question: Does the result mean Partial Mediation? if so, should a direct effect in full mediation reveal "zero" accounting for its mediating variable? Looking forward to your reply. Thanks. I met you personally, I was the one who brought your manuscript to Doc Niclie as one of your external evaluators during your PhD journey. I'm still working on my Dissertation at DLSU.
@renenobАй бұрын
@@JeremyAterrado hi! Traditionally, full mediation is when the direct effect in so longer significant while partial mediation is when the direct effect still significant. However, a more conventional way of reporting is to move away from the full and partial distinction. I suggest that you simply say there is mediation or none. No need to say if it is full or partial. I hope this helps.
@athenaheartАй бұрын
Thanks a lot here...
@TheMizymodАй бұрын
Thank you for great tutorial. I have one question, how to interpret this situation I encounter with my data: in two first stages of analysis both predictors have significant impact on dependent variable, but when I made model with moderation all three results (for both predictors and for moderation) were not significant. Does it only mean that there is no moderation and I should not be worried by the insignificance of no significance for solo predictors or can it be a indicator of some additional effect?
@renenobАй бұрын
You are correct. The results simply means there is no moderation. You cannot reply on the coefficients for the individual predictors. . Report the coefficients for individual predictors from the prior analysis (the one without the interaction term).
@KA-yn3wt2 ай бұрын
Do you offer offer tutoring sessions?
@renenob2 ай бұрын
Unfortunately, I do not.
@jericmanalili2 ай бұрын
Very much useful. Thank you Sir
@renenob2 ай бұрын
You are welcome! Please subscribe.
@psicologiajoseh2 ай бұрын
There's something I don't understand... Why the values of Initiative -> SSE on the Path coefficients table are different than the values of the same process on the Total effects table? Thanks for creating these valuable tutorials!
@renenob2 ай бұрын
Hi there! The number you see for Initiative -> SSE in the Total Effect Table shows how initiative affects SSE before considering the role of the mediator. In contrast, the number for Initiative -> SSE in the Path Coefficients Table shows the direct effect of initiative on SSE. This means it only shows the effect after removing the part that the mediator explains. I hope this helped. I suggest to read more about the distinction between the total effect and the direct effect.
@johnmarkvalencia-te4vw3 ай бұрын
Thank you po idol!
@renenob4 күн бұрын
Salamat, John!
@tawfiqabdullah97253 ай бұрын
Thanks for your analysis, Dr. Nob.
@perpalmgren28204 ай бұрын
Will part 6 be ready soon?😜
@LoffysDomain5 ай бұрын
At 3:25, very nice bit of information, thank you.
@rustumsalvana43685 ай бұрын
Daghang salamat
@perpalmgren28205 ай бұрын
Wonderful. 🙏🏻😍 When will you upload the last video (6) on EFA and CFA?
@psicologiajoseh5 ай бұрын
This content is gold! Thanks a lot!
@psicologiajoseh5 ай бұрын
Thanks a lot! This was incredibly helpful!
@rustumsalvana43685 ай бұрын
Thanks :)
@renenob5 ай бұрын
You're welcome!
@jasperdioco64376 ай бұрын
Wow! Thanks for this, Doc Rene. Can I ask a question? How is the Quanti method major in Ed Psych po sa DLSU? Are scale development courses available?
@renenob6 ай бұрын
It's great program! They also offer scholarships. Yes there are courses on assessment and scaling theory.
@jasperdioco64376 ай бұрын
@@renenob wow! Thanks, Doc Rene! I hope to join the program soon. If ever, is it possible to take electives from Psych Dept even if on Ed Psych prog under BAGCED?
@renenob6 ай бұрын
@@jasperdioco6437 I am not sure about that. I have not encountered a BAGCED student who took electives in our Department.
@douglasthai19606 ай бұрын
Hi, may i know how to interpret below for a simple mediation: Indirect Effect: 0.47 component: 0.31 component 0.15 Direct .043 Total .09 All with significant results but seems the numbers are very small Does this considered as a weak mediation? Do I have to address in my paper? Thank you so much
@renenob6 ай бұрын
You can watch this tutorial: kzbin.info/www/bejne/noXUlJiIe6yKa9Usi=EGnPKfq1DJy8l1_o
@perpalmgren28206 ай бұрын
Love it👍🏻
@renenob6 ай бұрын
Thank you! Please subscribe if you haven’t. :)
@perpalmgren28206 ай бұрын
Already a subscriber since many years.😜
@perpalmgren28206 ай бұрын
I love your JASP videos. Are you planning to do a tutorial video on logistic regression?
@renenob6 ай бұрын
Thank you for the suggestion. I will include that in the pipeline of content to produce. Kindly subscribe. Thank you!
@rustumsalvana43687 ай бұрын
Daghang salamat :)
@abubakarikassim80267 ай бұрын
Dr. Plz what type of multiple regression is this
@renenob7 ай бұрын
Linear? Can you clarify your question?
@abubakarikassim80266 ай бұрын
I applied this approach in my thesis, and my supervisor is advising me to specify the type of multiple regression used.
@karmaafixx7 ай бұрын
Does this still work with the APA Publication Manual 7th Ed.?
@renenob7 ай бұрын
I believe so. One important change. Greek letter notations must not be in italics.
@ElizabethBodunde7 ай бұрын
Hi Rene, Thanks for the video, I am just confused about something. Can I run a causal mediation analysis if my independent, dependent and, mediating variables are all binary?
@renenob7 ай бұрын
Hmmmmmm..... the software can run it, but I am not sure if such measurement captures the phenomenon.
@doktorschlosser29577 ай бұрын
Very helpful and you explain things really well, so it's easy to follow what you're doing. Thank you!
@StatisticsSupreme7 ай бұрын
Nice one! Would also be cool if you could show those interactions graphically in flexplot so that ouliers or non-linearity etc could be spotted
@renhernandez69587 ай бұрын
can we use a variable with 4 indicators as the moderating variable?
@renenob7 ай бұрын
Do your mean a 4-level categorical variable? I haven't tried.
@p4ddystanii8 ай бұрын
I love you. Thank you-- from all those who suffer with dyscalculia 🥲
@renenob7 ай бұрын
thanks
@huburgalula40319 ай бұрын
gurl you ate that
@renenob7 ай бұрын
What is this a slang for?
@simplepurple220320014 ай бұрын
@@renenob it means you explained it really well and that they understood it :)
@JaimeeW9 ай бұрын
Thanks for the video - it was very helpful! I would love to see how you create and format your tables, as this is something I've been struggling with. :) Great video!
@renenob6 ай бұрын
thank you for the suggestion! I will include it in the to-do list.
@rubyanneolbinado9510 ай бұрын
Please have another video on how to present this in the results and discussion.
@renenob7 ай бұрын
This is already the Results section. The discussion part is a different thing.
@rubyanneolbinado9510 ай бұрын
Thank you so much for this!
@renenob7 ай бұрын
Welcome!
@papapoopas11 ай бұрын
Thank you
@renenob7 ай бұрын
You are welcome!
@byronkadum5834 Жыл бұрын
Thank you so much sir! It doesn't feel like a 40-minute video because it is so straightforward but detailed! You have saved my life... 😊😊😊 Much respect from Malaysia!
@renenob7 ай бұрын
Sama-sama
@hannahsch9287 Жыл бұрын
Hey, thanks for the video! I also do have a question: If using medmod, can the predictor be dichotom?
@renenob7 ай бұрын
I think so
@mathusaymathtutorial935 Жыл бұрын
Good day! Thank you for this informative tutorial. Sir, I have a question regarding the correlation you made at the beginning of this video. Should I check first the normality before choosing what correlation test to use? Thanks!
@renenob7 ай бұрын
I don't think that is necessary
@vee6372 Жыл бұрын
Thanks for the video, may you please explain why we use that p value instead of the p variance value?
@renenob7 ай бұрын
what is the p variance?
@seydaseyda2993 Жыл бұрын
Hi, I have a question. If the indirect relationship is significant and the direct relationship is not significant, but the total effect is also not significant, can we talk about mediation? Thank you for answer.
@renenob7 ай бұрын
yes
@CarolinBartsch Жыл бұрын
What if my moderation variable is not linear?
@renenob7 ай бұрын
what do you mean? Linear usually refers to the quality of the relationship between 2 variables, not just a variable.
@rehamdwairi496 Жыл бұрын
If the moderator effect not sig how can I interpret the result?
@renenob7 ай бұрын
I usually look for published paper and use their table presentations as a model.
@marriambaman6200 Жыл бұрын
What if po the data is continuous po. How to do descriptive analysis on that po. Thank you
@renenob7 ай бұрын
Mean and SD
@PabloTheThinker Жыл бұрын
Huge limitation for JASP only allowing one block.
@renenob7 ай бұрын
yup
@DanielEarlester Жыл бұрын
Intercourse could mean speak too and not just have sex and so is ambiguous 😁