Search Results

You are looking at 41 - 50 of 70 items for :

  • "correlation analysis" x
  • Behavioral Sciences x
  • Refine by Access: All Content x
Clear All

. Table  2 presents the results of zero-order correlation analysis between MSPSS, BSMAS, FSFI (at baseline and follow-up), anxiety (at baseline and follow-up), depression (at baseline and follow-up), FSDS-R (at baseline and follow-up), and URCS. The

Open access

, Scharkow, & Quandt, 2013 ; Kim et al., 2016 ; Männikkö, Billieux, & Kääriäinen, 2015 ; Peng & Liu, 2010 ; Rehbein, Psych, Kleimann, Mediasci, & Mößle, 2010 ). The results from the Pearson’s correlation analysis between both self-rated life satisfaction

Open access

were summarized with numbers and percentages for categorical variables or mean ± SD and ranges for continuous variables stratified by gender. Pearson correlation analysis was performed to detect linear relationships among study variables stratified by

Open access

. The results of correlation analysis are shown in Table  2 . According to the results, all subscale scores of the adult ADHD symptoms showed significant correlations with IA, childhood ADHD, AUDIT-K scores, depression, and anxiety symptoms. On the other

Open access

, descriptive statistics regarding general smartphone use were calculated. Then, correlational analysis was conducted. Finally, to delineate the factors underlying problematic smartphone use, multiple regression analysis was performed using problematic

Open access
Journal of Behavioral Addictions
Authors: Giacomo Grassi, Stefano Pallanti, Lorenzo Righi, Martijn Figee, Mariska Mantione, Damiaan Denys, Daniele Piccagliani, Alessandro Rossi, and Paolo Stratta

control group Correlation analysis Pearson product-moment correlation coefficients between clinical variables (symptom severity, illness duration, presence or history of tics, presence

Open access

statistics regarding general smartphone use were calculated. This was followed by correlational analysis. To explore phone use and nature connectedness in more detail, multiple regression was used. Receiver operating characteristic (ROC) curves were used to

Open access

. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral sciences . Mahwah, NJ : Lawrence Erlbaum Associates . Cohen , S

Open access
Journal of Behavioral Addictions
Authors: Jon Arcelus, Walter Pierre Bouman, Bethany Alice Jones, Christina Richards, Susana Jimenez-Murcia, and Mark D. Griffiths

based on the scores of the (IGDS9-SF), only the gamers group was selected ( n  = 154). Spearman’s correlation analysis showed a positive correlation, which was statistically significant, between problematic gaming and age ( r  = −.27, p  < .001), global

Open access

according to structures defined in the white matter (WM) Atlas ( Oishi, Faria, Van Zijl, & Mori, 2010 ). Those anatomical regions were used to run correlation analysis with symptoms measured by the Sexual Addiction Screening Test ( Gola et al., 2016 ) and

Open access