Results 171 to 180 of about 30,834 (331)
Personality Traits, Burnout, Workplace Bullying and Sleep Quality Among Midwives: A Pilot Study. [PDF]
Cakirpaloglu SD +5 more
europepmc +1 more source
ABSTRACT Objective We provide a fine‐grained portrait of age‐graded differences in Humility across the lifespan. Specifically, we shed light on year‐by‐year differences and explore differences‐in‐differences in the wake of the COVID pandemic. Methods We used large‐scale cross‐sectional data (n = 2,025,004) and employed multigroup confirmatory factor ...
Wendy W. L. Cheung +2 more
wiley +1 more source
Relationship between personality and poststroke functional outcomes: a systematic review. [PDF]
Au-Yeung D +3 more
europepmc +1 more source
Relationship between Birth Order and Personality Trait (Extroversion)
openalex +2 more sources
The Relationship Between Personality and Flow: A Meta‐Analysis
ABSTRACT Objective This meta‐analysis explores the relationship between Big Five personality traits and flow. It also examines the moderating roles of demographic factors (i.e., gender and age), cultural differences, contextual variations, flow dimensions, and the instruments used to assess personality and flow. Method A systematic search was conducted
Siem Buseyne +4 more
wiley +1 more source
Background/purpose. This study aimed to investigate the extent to which the family environment predicts neuroticism and extraversion among students at Jadara University. A total of 425 university students were recruited. Materials/methods. Two scales,
Eman Jawarneh +3 more
doaj +1 more source
Interplay between personal and professional growth in Italian medical education. [PDF]
Di Giacomo D +3 more
europepmc +1 more source
Psychometric Properties of Stress Check List for Self and its Relationship to Health Satisfaction and Psychological Traits (Extroversion‐Introversion) [PDF]
Tomoyuki Kawada +2 more
openalex +1 more source
Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping‐Based Exploration
ABSTRACT Objective The application of digital phenotyping in personality research leverages smartphone‐generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs), as it allows for the continuous, in situ collection of behavioral and contextual data.
Maya Hocherman +2 more
wiley +1 more source

