Personības faktori kā pozitīvo un negatīvo afektu prognozētāji eksplicītā un implicītā līmenī

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RESEARCH PRODUCT

Personības faktori kā pozitīvo un negatīvo afektu prognozētāji eksplicītā un implicītā līmenī

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Pētījumā tika izvirzīti jautājumi, lai noteiktu gan korelatīvās saistības, gan personības Lielā Piecnieka faktoru prognostisko ietekmi uz subjektīvās labklājības afektīvo daļu, jeb pozitīvajiem un negatīvajiem afektiem eksplicītā un implicītā līmenī. Pētījumā tika izmantotas pašnovērtējuma aptaujas, kas raksturo eksplicīto līmeni, un divi Implicīto asociāciju testi (IAT, Greenwald, Nosek, & Banaji, 2003), Daudzfaktoru personības paštēla IAT (DPP IAT, Andrejeva, 2012) un Laimes IAT (Walker & Schimmack, 2008), kas veidoti implicītās izziņas izpētei. DPP IAT tika izmantota inovatīva IAT struktūras modifikācija (Andrejeva, 2012). Darba ietvaros tika veikta Laimes IAT adaptācija latviešu valodā. DPP IAT validitātes un ticamības rādītāji nav pietiekami (Andrejeva, 2012), lai varētu atbildēt uz jautājumiem, kas saistās ar korelatīvajām un prognostiskajām saistībām implicītās izziņas līmenī.

year	journal	country	edition	language
2012-01-01

https://dspace.lu.lv/dspace/handle/7/12421

PEPhysical Sciences and Engineering
- PE2Fundamental Constituents of Matter
  - PE2_1Theory of fundamental interactions
  - PE2_2 Phenomenology of fundamental interactions
  - PE2_3Experimental particle physics with accelerators
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  - PE2_6Nuclear, hadron and heavy ion physics
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  - PE2_9 Electromagnetism
  - PE2_10Atomic, molecular physics
  - PE2_11Ultra-cold atoms and molecules
  - PE2_18Equilibrium and non-equilibrium statistical mechanics: steady states and dynamics
  - PE2_14Lasers, ultra-short lasers and laser physics
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  - PE2_16Non-linear physics
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  - PE2_13Quantum optics and quantum information
  - PE2_15Thermodynamics
- PE1Mathematics
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  - PE11_13Metamaterials engineering
  - PE11_14Computational methods for materials engineering
LSLife Sciences
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SHSocial Sciences and Humanities
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