Hi Sir! Salamat po for this presentation, I find it useful for my report. May I ask po where can I possibly access the dataset that you used? Thank you
@CollectivelyConscious2 ай бұрын
@@WalidaAzis james gaskin ang name na na mention ni Sir po. you can search google with james gaskin as key words
@CollectivelyConscious2 ай бұрын
9:00 something about growth mindset. Might be true because if we look at it at the point of view sa hierarchy of needs, a person might find it difficult to performs higher forms of functions such as intellectual function if level 1 needs are not satisfied such as having enough food and nutrition (requires money), or the parents are not getting along since may problem sa money, etc.
@DSaints232 жыл бұрын
Thank you very much sir Louis! This is very helpful for my current study.
@jeanrosetutor96442 жыл бұрын
Thank you very much po😇 God bless you😇
@teachercheal45066 ай бұрын
Super thank you sir. For future purposes, may I use your PowerPoint for educational purposes? Thanks po
@DSaints232 жыл бұрын
I hope you can also discuss direct effect and indirect effect. I2 po ksi ung nahihirapan ako. I dont know how it relates to moderation.
@WalidaAzis Жыл бұрын
Hi! Does anyone know where can I access the data set used in this example? Any leads will be highly appreciated! thanks!
@LazuliLeecht11265 ай бұрын
hello sir and to anyone, can you have nominal data as a predictor in this model? if so, how can you set it in jamovi?
@CollectivelyConscious2 ай бұрын
Hi. Nominal is categoral, so mas bagay sa anova. You can check more by searching anova laerd statistics in google. Pero sabi nga ni Sir Louis sa 10:00 something, pwede categorical ang moderator for as long as the may continuous iv. This reply from me is to make is simple lang. Thanks
@genesisengllandlansangan-yw8ip Жыл бұрын
Hello Sir Louis, I would like to ask about your email? where could I possibly reach you? re:statistician MA level.
@blackranger_236 ай бұрын
Sir how demographics as moderators?
@CollectivelyConscious2 ай бұрын
Hi. It depends on how you treat demographics. For example, if it's gender, then it's categorical so anova. If it's income per month, can be ordinal or ratio, depende sa related studies na pwede mag back-up on how you treat your demographic data. Ordinal is categorical so anova; ratio is continuous so pwede moderation. If educational level, then pwede ordinal or nominal, both categorical so anova. Pero sabi nga ni Sir Louis sa 10:00 something, pwede categorical ang moderator for as long as the may continuous iv. This reply from me is to make is simple lang. Thanks