Busch Light Noun 3D All Over Print Hoodie

KEY FEATURES:

• Ideal for cooler days, but still very comfortable to wear in summer. Safeguards your skin from harmful Ultraviolet Rays. Cool fabric breathes very well on hot days.
• Suitable for special occasions such as Christmas, birthday, celebration, housewarming gift. 

PRODUCT INFORMATION:

• Cotton And Polyester. Soft and comfortable
• Without ever fading, cracking, peeling or flaking-High quality. The colours are vibrant and won’t fade.
• Taped neck and shoulders for durability; Tubular rib collar for better stretch and recovery
• Silky, lightweight and moisture-wicking knit that keeps you cool and dry while training. Soft to the touch and easy on the skin. Designed for excellent ventilation and breathability, dissipates heat easily.

PRINT: Dye-sublimation printing

WASHABLE: Machine wash cold, only non-chlorine bleach when needed, hang dry, cool iron on the reverse side or dry clean

PRODUCTION TIME: 3-6 Business Days

NOTE:    

– Since the size is manually measured, please allow a slight dimension difference from 1-3 cm.

 – Due to the different monitor and light effect, the actual colour of the item might be slightly different from the visual pictures.

Main analyses The main analyses involved hierarchical multiple regression analyses with three blocks of variables. The first block included the main effects of gender, ethnicity, age, coping motives, social motives, perceived stress, and friends’ alcohol consumption when socializing with the respondent. The second block of variables included the interactions of coping motives with age and ethnicity. The third block of variables included the interactions of coping and social motives with stress and friends’ alcohol consumption. These interaction terms were centered, as recommended by Jaccard, Turrisi, and Wan (1990) to reduce multicollinearity among cross-product terms and their constituent variables. By entering the interactions between motives for drinking and situational factors last, after the demographic variables (main effects and interactions) and psychosocial variables (main effects) were already entered, it can be determined if these interactions increase the amount of variance explained beyond that explained by the other variables.