The relationship between primary maladaptive schemas and clinical symptoms of borderline personality disorders and antisocial personality in conscripts: network modeling by Masoumeh Mahboubi, Mahdiyeh Salehi, Amir Mohsen Nedjat

“…The sample of the present study was selected according to the available non-random method of 500 people.Findings: The findings showed that considering that the square of the Pearson correlation coefficient indicates the amount of common variance between the questions, considering the limit of 0.5 means that in order to identify a significant relationship between the nodes, at least the common variance of the nodes in question should be equal to 0.25.Originality: The results showed that among the components presented in the initial maladaptive schemas, the components of abandonment/instability and trapped/untransformed self had the highest amount of extroversion index on average. …”
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Imaginary latent variables: Empirical testing for detecting deficiency in reflective measures by Marco Vassallo

“…Modeling an imaginary latent variable produces a potential deficiency within its relative reflective measures through a considerable reduction in common variance indicating the most affected indicator(s).…”
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Arabic validation and cross-cultural adaptation of climate anxiety scale by Shymaa Mamdouh Mohamed Abdu, Assem Gebreal, Safar Abadi Alsaleem, Moath S. Aljohani, Suzan Abdel-Rahman, Mohamed Fakhry Hussein, Nada Ibrahim, Iffat Elbarazi, Samah Hussein, Omar Shamma, Ahmed Elsayed said Noureldin, Ramy Mohamed Ghazy

“…The general factor explained 78% of the common variance, whereas the group factors shared 22.0%. …”
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Individual differences in navigation skill: towards reliable and valid measures by Jacob L. Lader, Kim V. Nguyen, Nora S. Newcombe

“…The data suggest that (1) virtual measures correlate with real-world ones, (2) the specific tasks used (pointing, map building, shortest route finding) are less important than the paradigm, and (3) there is common variance (i.e., shared individual differences) across paradigms. …”
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Adaptation of compulsive sport consumption scale into Turkish culture: CSCS-T by Sait Çüm, Murat Aygün

“…Parallel analysis has been performed on account of inspecting the dimensionality of the scale, and many statistics such as unidimensional congruence, explained common variance, mean of item residual absolute loadings, and robust fit statistics have been used. …”
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Psychometric properties of an adapted work-family boundary management tactics scale by Marthinus Delport

“…A moderately dominant general factor emerged, although more than half (51.27%) of the explained common variance was attributed to the first-order factors. …”
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Mental Health Continuum—Short Form: Confirmatory Factor Analysis (CFA) of Competing Models with Adolescents from Portugal by Luís Loureiro, José Santos, Cândida Loureiro

“…The indices support unidimensionality, namely the explained common variance (ECV = 0.81), the Percentage of Uncontaminated Correlations (PUC = 0.69), and the omega hierarchical (ωH = 0.89), and point to the existence of a general MHC-SF factor. …”
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A predictive analysis of STEM vocation through students’ attitudes to school science classes by María-Antonia Manassero-Mas, Ángel Vázquez-Alonso

“…Six school science class items significantly predicted the students’ degree of STEM vocation by sharing 46.1% of their common variance. In decreasing order of prediction power, the six significant predictors are “liking school science better than most other subjects,” “helping to understand sustainability solutions,” “becoming more critical and skeptical,” “importance of science for our way of life,” “difficulty of school science,” and “opening my eyes to new and exciting jobs.”DiscusionThe implications of this study for promoting STEM vocations suggest that teachers carefully cultivate those relevant characteristics of school science classes through appropriate pedagogies and inclusive and equitable contexts for all, especially for girls.…”
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Constipation and Laxative Use among Nursing Home Patients: Prevalence and Associations Derived from the Residents Assessment Instrument for Long-Term Care Facilities (interRAI LTCF... by Lene Elisabeth Blekken, Sigrid Nakrem, Anne Guttormsen Vinsnes, Christine Norton, Siv Mørkved, Øyvind Salvesen, Kari Hanne Gjeilo

“…Constipation and laxative use are common. Variance is mainly explained by different patient characteristics/health deficiencies. …”
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The 20 m shuttle run is not a valid test of cardiorespiratory fitness in boys aged 11–14 years by Jo Welsman, Neil Armstrong

“…Predicted and measured mass-related peak V˙O2 (mL/kg/min) shared common variance of 32%. LoA revealed that measured peak V˙O2 ranged from 15% below to 25% above predicted peak V˙O2 . …”
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Evaluating pain outcomes in Chinese ophthalmology patients using the APS-POQ-R-C: a Rasch analysis by Meina Huang, Meina Huang, Zheyi Chen, Zheyi Chen

“…Using a sample of 294 valid questionnaires, multiple aspects of the scale were tested, including unidimensionality, local independence of items, reliability and separation, item fit, person–item mapping, test information function, and differential item functioning (DIF) analysis.ResultsPrincipal component analysis of residuals, explained common variance (0.61) and omega hierarchical (0.72) of the APS-POQ-R-C scale demonstrates essential unidimensionality. …”
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Prominent role of PM10 in the link between air pollution and incident Parkinson’s Disease by Alessandro Gialluisi, Simona Costanzo, Maria Ilenia De Bartolo, Giovanni Veronesi, Matteo Renzi, Assuntina Cembalo, Alfonsina Tirozzi, Stefania Falciglia, Moreno Ricci, Americo Bonanni, Francesco Martone, Gaetano Zazzaro, Antonietta Pepe, Daniele Belvisi, Marco Mario Ferrario, Francesco Gianfagna, Chiara Cerletti, Maria Benedetta Donati, Stefania Massari, Alfredo Berardelli, Giovanni de Gaetano, Licia Iacoviello

“…This revealed a statistically significant association of PC1 (explaining 38.2% of common variance, tagging PM10 levels), independent on sociodemographic, professional and lifestyles covariates (Hazard Ratio [95%CI] = 1.04[1.02–1.07]). …”
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Adaptation of the Problem Areas in Diabetes-Teen Scale into Turkish and examination of its psychometric properties: a validity and reliability study by Seda Aybüke Sarı, Ezgi Agadayı, Nurullah Çelik, Seher Karahan, Ayça Kömürlüoğlu, Esra Döğer

“…The three-factor (emotional burden, family and friend distress, and regimen-specific distress) model identified in EFA explained 61.8% of the common variance. Fit analysis was performed using CFA for the three-factor model, which did not show adequate fit (x2/df = 2.402, GFI = 0.822, CFI = 0.815, NFI = 0.727, NNFI = 0.772, RMSEA = 0.118). …”
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General disease factor: evidence of a unifying dimension across mental and physical illness in children and adolescents by Marco Solmi, Henrik Larsson, Paul Lichtenstein, Samuele Cortese, Valerie Brandt, Miguel Garcia-Argibay, Hongyi Sun

“…The d-factor accounted for substantial variance (ωh=0.582, explained common variance (ECV)=0.498), while specific mental (ωhs=0.377, ECV=0.373) and physical (ωhs=0.423; ECV=0.130) factors also indicated additional significant unique contributions.Conclusions This study provided evidence for a multidimensional structure of health in children and adolescents, characterised by a general d-factor underlying both mental and physical conditions, alongside distinct domain-specific factors. …”
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Mediating effect of falls efficacy in pain catastrophizing and kinetophobia in patients with lumbar degenerative diseases (跌倒效能在腰椎退行性疾病患者疼痛灾难化与恐动症间的中介效应)... by WANG Xiaoying (王小影), SHI Yunong (施雨秾), YU Jie (于杰), YANG Liguo (杨立国), GUO Jingran (郭敬然), MENG Xiaona (孟小娜), TANG Qiqun (唐启群)

“…Methods A total of 146 patients with lumbar degenerative disease admitted to the department of Spine Medicine, Tangshan Second Hospital from June 2022 to November 2022 were selected by convenience sampling, general information questionnaire, Tampa Scale for kinesiophobia-11(TSK-11), pain catastrophizing scale (PCS), and Brief Falls Efficacy Scale (FES-I) were used, Harman single factor test was used to test the common variance deviation, and SPSS macro-PROCESS 4. 1 was used to analyze the mediating effect. …”
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Identification and analysis of factors affecting the technology transfer process in the power train of automotive (Case study : Iran Khodro Industrial Group) by ٍEbrahim Doostzadeh, Abbas Toloie Ashlaghi, Manochehr Manteghi, Reza Radfard

“…In addition, in exploratory factor analysis, the minimum number of factors is used to obtain the common variance between a set of parts.</p> <p style="text-align: left;">In the present research, since the number of factors and gaps identified was relatively large (16 factors and 20 gaps) and the examination of the relationship between them was also a complex matter, using the factor analysis method in order to reduce the data could be a suitable method to analyze the data. …”
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Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling by Farajallah Rahimi, Maral Ahmadi Arpanahi

“…To calculate convergent and divergent validity, we must calculate the values ​​of average variance extracted (AVE) and average squared common variance (ASV).Therefore, for convergent validity, the AVE value of the variables should be greater than 0.5, and for divergent validity, the AVE value of the variables should be greater than their ASV (Rahimi, 2017), which according to Table 1, the AVE value of each of the variables is greater than 0.5 and the AVE value is greater than It is from ASV that it can be said that measurement tools have construct validity. …”
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