𝗡𝗮𝗱𝗼𝗽𝘂𝗻𝗮 𝗕𝗜𝗚 𝗙𝗜𝗩𝗘 𝗺𝗼𝗱𝗲𝗹𝗮, 𝗔𝗻𝗮𝗹𝗶𝘇𝗼𝗺 𝗴𝗿𝗮𝗳𝗼𝘃𝗮

Novo istraživanje otkriva skrivene osobine ličnosti‼️
Nova istraživanja sugeriraju da BIG FIVE model možda nije potpun. Koristeći 𝗮𝗻𝗮𝗹𝗶𝘇𝘂 𝗴𝗿𝗮𝗳𝗼𝘃𝗮 (mrežna analiza), istraživači su mapirali osobnost odozdo prema gore, otkrivši nove meta-osobine i osobine koje BIG FIVE ne obuhvaća.💭
https://lnkd.in/dpB4azak

Ključni zaključci:
👉𝗕𝗜𝗚 𝗙𝗜𝗩𝗘 𝗘𝘅𝗽𝗮𝗻𝘀𝗶𝗼𝗻: The new model identified six traits, including sociability, integrity, and impulsivity, expanding beyond the traditional five.
👉𝗕𝗼𝘁𝘁𝗼𝗺-𝗨𝗽 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: TGA builds personality structures by analyzing statistical relationships between survey items.
👉𝗣𝘀𝘆𝗰𝗵𝗼𝗽𝗮𝘁𝗵𝗼𝗹𝗼𝗴𝘆 𝗜𝗺𝗽𝗮𝗰𝘁: This method could lead to rethinking diagnoses, such as reframing anxiety as a subtype of depression.

Cijeli rad “𝗥𝗲𝘃𝗶𝘀𝗶𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗜𝗣𝗜𝗣-𝗡𝗘𝗢 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝘆 𝘄𝗶𝘁𝗵 𝘁𝗮𝘅𝗼𝗻𝗼𝗺𝗶𝗰 𝗴𝗿𝗮𝗽𝗵 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀” na https://lnkd.in/dwANagBr

“This study introduces and applies a comprehensive network psychometrics framework (TGA) aimed at identifying hierarchical structures from the bottom-up, to an open-source 300-item IPIP-NEO dataset (N = 149,337). Framework addresses key methodological challenges that have hindered accurate recovery of hierarchical structures, including local independence violations, wording effects, dimensionality assessment, and structural robustness. TGA revealed a three-level structure composed of 28 first-level dimensions (facets), 6 second-level dimensions (traits), and 3 third-level dimensions (meta-traits).”💡

I rad iz 2012. godine obrađuje slične teme “𝗙𝗿𝗶𝗲𝗻𝗱𝘀 𝗱𝗼𝗻’𝘁 𝗹𝗶𝗲: 𝗶𝗻𝗳𝗲𝗿𝗿𝗶𝗻𝗴 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝘆 𝘁𝗿𝗮𝗶𝘁𝘀 𝗳𝗿𝗼𝗺 𝘀𝗼𝗰𝗶𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲”🤔

U radu se istražuju odnosi između strukture mreža i osobnosti te se procjenjuje učinkovitost različitih podskupova strukturnih značajki mreže, a osobito onih povezanih s ego-mrežama, u predviđanju osobina ličnosti prema BIG FIVE modelu.🕸️

“We investigate the relationships between social network structure and personality; we assess the performances of different subsets of structural network features,  and in particular those concerned with ego-networks, in predicting the BIG FIVE personality traits. In addition to traditional survey-based data, this work focuses on social networks derived from real-life data gathered through smartphones.”🕸️