Demographic and Attitudinal Factors of Adherence to Quarantine Guidelines During COVID-19: The Italian Model

participants physical health status index

Effect of Physical-Sports Leisure Activities on Young People's Psychological Wellbeing

Optimizing Sleep in Older Adults: Where Does High-Intensity Interval Training Fit?

PSQI score<5 Buysse et al., 1989 Irwin et al., 2008

Rapid Learning and Long-Term Memory for Dangerous Humans in Ravens (Corvus corax)

Framing Effects on Online Security Behavior

The Effect of the Fear of COVID-19 on Healthcare Professionals' Psychological Adjustment Skills: Mediating Role of Experiential Avoidance and Psychological Resilience

The Cascade Effect of Parent Dysfunction: An Emotion Socialization Transmission Framework

maladaptive emotion regulation strategies modeled

Visual Search for Circumscribed Interests in Autism Is Similar to That of Neurotypical Individuals

Psychometric Properties of the Short Forms of the Social Interaction Anxiety Scale and the Social Phobia Scale in a Chinese College Sample

characteristics of graded response model

Psychotherapy During COVID-19: How the Clinical Practice of Italian Psychotherapists Changed During the Pandemic

generalised linear effect binomial model

Northern Italy=37%, Central Italy=35%, Southern Italy=28%

Language and Cognition in Gaelic-English Young Adult Bilingual Speakers: A Positive Effect of School Immersion Program on Attentional and Grammatical Skills

In Table 6, TEA-2 bilingual coeff=1.967, p=0.05
TEA-3 models differ Log likelihood=-132.148

Development of the Referee Shared Mental Models Measure (RSMMM)

team performance=0.82, alpha team viability=0.84
task=0.78, AVE team=0.70, AVE strategy=0.85
alpha factor 3=0.75 alpha factor 2=0.89 Johnson et al., 2007

Mental Health Measurement in a Post Covid-19 World: Psychometric Properties and Invariance of the DASS-21 in Athletes and Non-athletes

holding loadings equal across groups model

comprised 894 participants (54.14% female) aged 17-57 years (M^age=32.66, SD=12.14
athletes (57.21% male) aged 18-41 years (M^age=23.54, SD=9.38