scholarly journals Psychometric Evaluation of The Romanian Version of The Irrational Procrastination Scale in a Military Student Population

2017 ◽  
Vol 23 (2) ◽  
pp. 318-323
Author(s):  
Crenguţa Mihaela Macovei
Keyword(s):  
Psychometric Evaluation ◽  
Principal Component ◽  
Global Scale ◽  
Factor H ◽  
General Measure ◽  
Good Reliability ◽  
One Dimensional ◽  
Two Factors ◽  
Opposite Behavior ◽  
Military Student

Abstract The present paper examines the psychometric properties of the Romanian version of the Irrational Procrastination Scale (IPS). The Principal Component Analysis for IPS revealed a two factors structure, but the second factor is loaded by an item that refers to postponing tasks and another item that actually expresses the opposite behavior. We therefore conclude that IPS is in fact a one-dimensional construct, as the author of the scale suggested. The IPS has good reliability. The correlation matrix indicated that the procrastination scale did correlate weakly with measures of selfefficiency and relf-regulation but it was higly correlated with factor H, factor O and global scale Q4 from Cattell’s 16 PF personality questionnaire. As a conclusion, the Romanian translation of the Irrational Procrastination Scale is a general measure of procrastination as irrational delay which can be successfully used in student populations.

Development and Evaluation of the Individuals With Learning Disabilities and/or Difficulties Perceived Discrimination Scale

2018 ◽  
Vol 46 (6) ◽  
pp. 708-737
Author(s):  
Elizabeth F. Geiger ◽  
Melanie E. Brewster
Keyword(s):  
Factor Analysis ◽  
Minority Stress ◽  
Convergent Validity ◽  
Perceived Discrimination ◽  
Learning Difficulties ◽  
Psychometric Evaluation ◽  
Clinical Work ◽  
Good Reliability ◽  
Two Factors ◽  
The Stability

The present two studies describe the development and psychometric evaluation of the Learning Disability/Difficulty Perceived Discrimination Scale used to assess the self-reported discrimination experiences of people with learning difficulties and/or disabilities. In Study 1 ( N = 202) an exploratory factor analysis yielded two factors, Inferior and Cheating the System. In Study 2 ( N = 216) a confirmatory factor analysis supported the stability of this two-factor correlated model and a bifactor model. Across studies, subscale and full-scale items offered evidence of good reliability, convergent validity, and concurrent validity. Preliminary support for a minority stress framework is explored. Limitations, research, and clinical work with learning difficulties and/or disabilities populations are discussed.

scholarly journals The Factor Structure and Rasch Analysis of the Fear of COVID-19 Scale (FCV-19S) Among Chinese Students

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei Chen ◽  
Yuxin Liang ◽  
Xingyu Yin ◽  
Xingrong Zhou ◽  
Rongfen Gao
Keyword(s):  
Rasch Analysis ◽  
Chinese Students ◽  
Principal Component ◽  
Model Fit ◽  
Good Reliability ◽  
One Dimensional ◽  
Ego Resilience ◽  
Item Functioning ◽  
Point Measure ◽  
Unidimensional Structure

The Fear of COVID-19 Scale (FCV-19S) is a new one-dimensional scale used to measure fear of an individual about the COVID-19. Given the seriousness of the COVID-19 situation in China when our study was taking place, our aim was to translate and examine the applicability of the FCV-19S in Chinese students. The sample used for validation comprised 2,445 Chinese students. The psychometrical characteristics of the Chinese FCV-19S (FCV-19S-C) were tested using Rasch analysis. Principal component analysis (PCA) proved the unidimensional structure of the model. Both infit and outfit mean square (MNSQ) values (0.69–1.31) and point-measure correlations (0.82–0.86) indicated a good model fit. Person-item separation and reliability values indicated good reliability of the scale. The person-item map revealed an acceptable level of match between the persons and the items. Differential item functioning of the FCV-19S-C showed no differences with respect to age or gender. FCV-19S-C scores were significantly associated with anxiety, stress, depression, ego-resilience, and general health. The FCV-19S-C was proven to be effective in measuring fear of Chinese students about the COVID-19.

Effects of an Anxiety-Specific Psychometric Factor on Fear Conditioning and Fear Generalization

2017 ◽  
Vol 225 (3) ◽  
pp. 200-213 ◽  
Author(s):  
Christian Baumann ◽  
Miriam A. Schiele ◽  
Martin J. Herrmann ◽  
Tina B. Lonsdorf ◽  
Peter Zwanzger ◽  
...  
Keyword(s):  
Risk Factor ◽  
Anxiety Disorders ◽  
Fear Conditioning ◽  
Longitudinal Design ◽  
Principal Component ◽  
Anxiety And Depression ◽  
Specific Factor ◽  
High Anxious ◽  
Two Factors ◽  
Fear Generalization

Abstract. Conditioning and generalization of fear are assumed to play central roles in the pathogenesis of anxiety disorders. Here we investigate the influence of a psychometric anxiety-specific factor on these two processes, thus try to identify a potential risk factor for the development of anxiety disorders. To this end, 126 healthy participants were examined with questionnaires assessing symptoms of anxiety and depression and with a fear conditioning and generalization paradigm. A principal component analysis of the questionnaire data identified two factors representing the constructs anxiety and depression. Variations in fear conditioning and fear generalization were solely associated with the anxiety factor characterized by anxiety sensitivity and agoraphobic cognitions; high-anxious individuals exhibited stronger fear responses (arousal) during conditioning and stronger generalization effects for valence and UCS-expectancy ratings. Thus, the revealed psychometric factor “anxiety” was associated with enhanced fear generalization, an assumed risk factor for anxiety disorders. These results ask for replication with a longitudinal design allowing to examine their predictive validity.

Principal component analysis of substituent constants

1990 ◽  
Vol 55 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Drahomír Hnyk
Keyword(s):  
Principal Component Analysis ◽  
Inductive Effect ◽  
Resonance Effect ◽  
Principal Component ◽  
Component Analysis ◽  
Total Variance ◽  
Data Matrix ◽  
Cumulative Proportion ◽  
Two Factors ◽  
Substituent Constants

The principal component analysis has been applied to a data matrix formed by 7 usual substituent constants for 38 substituents. Three factors are able to explain 99.4% cumulative proportion of total variance. Several rotations have been carried out for the first two factors in order to obtain their physical meaning. The first factor is related to the resonance effect, whereas the second one expresses the inductive effect, and both together describe 97.5% cumulative proportion of total variance. Their mutual orthogonality does not directly follow from the rotations carried out. With the help of these factors the substituents are divided into four main classes, and some of them assume a special position.

The Big Five Inventory–2 in China: A Comprehensive Psychometric Evaluation in Four Diverse Samples

Assessment ◽  
2021 ◽  
pp. 107319112110082
Author(s):  
Bo Zhang ◽  
Yi Ming Li ◽  
Jian Li ◽  
Jing Luo ◽  
Yonghao Ye ◽  
...  
Keyword(s):  
Big Five ◽  
Discriminant Validity ◽  
Psychometric Evaluation ◽  
Good Reliability ◽  
Future Directions ◽  
Big Five Inventory ◽  
Education Levels ◽  
Lower Education ◽  
Content Coverage ◽  
Test Retest Reliability

The Big Five Inventory-2 (BFI-2) has received wide recognition since its publication because it strikes a good balance between content coverage and brevity. The current study translated the BFI-2 into Chinese, evaluated its psychometric properties in four diverse Chinese samples (college students, adult employees, adults treated for substance use, and adolescents), and compared its factor structure with those obtained from two U.S. samples. Across two studies, the Chinese BFI-2 demonstrated good reliability (Cronbach’s α and test–retest reliability), structural validity, convergent/discriminant validity, and criterion-related validity at the domain level. At lower levels of analyses, some facets and negatively worded items functioned better among participants with higher than those with lower education levels. Implications, limitations, and future directions are discussed.

scholarly journals Three Versions of the Perceived Stress Scale: Psychometric Evaluation in a Nationally Representative Sample of Chinese Adults during the COVID-19 Pandemic

2021 ◽  
Vol 18 (16) ◽  
pp. 8312
Author(s):  
Zhuang She ◽  
Dan Li ◽  
Wei Zhang ◽  
Ningning Zhou ◽  
Juzhe Xi ◽  
...  
Keyword(s):  
General Population ◽  
Psychometric Properties ◽  
Perceived Stress ◽  
Representative Sample ◽  
Online Survey ◽  
Psychometric Evaluation ◽  
Perceived Stress Scale ◽  
Good Reliability ◽  
Stress Scale ◽  
Nationally Representative

(1) Background: The COVID-19 outbreak has created pressure in people’s daily lives, further threatening public health. Thus, it is important to assess people’s perception of stress during COVID-19 for both research and practical purposes. The Perceived Stress Scale (PSS) is one of the most widely used instruments to measure perceived stress; however, previous validation studies focused on specific populations, possibly limiting the generalization of results. (2) Methods: This study tested the psychometric properties of three versions of the Chinese Perceived Stress Scale (CPSS-14, CPSS-10, and CPSS-4) in the Chinese general population during the COVID-19 pandemic. A commercial online survey was employed to construct a nationally representative sample of 1133 adults in Mainland China (548 males and 585 females) during a one-week period. (3) Results: The two-factor (positivity and negativity) solution for the three versions of the CPSS showed a good fit with the data. The CPSS-14 and CPSS-10 had very good reliability and the CPSS-4 showed acceptable reliability. Scores on all three versions of the CPSS were significantly correlated in the expected direction with health-related variables (e.g., depression, anxiety, and perceived COVID-19 risk), supporting the concurrent validity of the CPSS. (4) Conclusions: All three versions of the CPSS appear to be appropriate for use in research with samples of adults in the Chinese general population under the COVID-19 crisis. The CPSS-10 and CPSS-14 both have strong psychometric properties, but the CPSS-10 would have more utility because it is shorter than the CPSS-14. However, the CPSS-4 is an acceptable alternative when administration time is limited.

scholarly journals The Development of Athlete Performance Capabilities Index (APCI) Model for Male U12 Player Selection using Multivariate Analysis

2018 ◽  
Vol 7 (4.34) ◽  
pp. 97
Author(s):  
Mohamad Razali Abdullah ◽  
Hafizan Juahir ◽  
N. Mohamad Shukri ◽  
N. A. Fuat ◽  
N. A. Mohd Ros ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Factor Score ◽  
Principal Component ◽  
Factor Loading ◽  
Group Classification ◽  
Performance Group ◽  
Two Factors ◽  
Low Performance ◽  
High Factor Loading ◽  
Athlete Performance

This study develops an Athlete Performance Capabilities Index (APCI) model using multivariate analysis for selecting the best player of under twelve (U12).  Measurement of anthropometrics and physical fitness were evaluated among 178 male players aged 12±0.52 years. Factor score derived by Principal Component Analysis were used to obtain a model for APCI and Discriminant Analysis (DA) were conducted to validate the correctness of group classification by APCI. Result was found two factors with eigenvalues greater than 1 were extracted which accounted for 62.00% of the variations present in the original variables. The two factors were used to obtain the factor score coefficients explained by 35.72% and 26.67% of the variations in athlete performance respectively. Factor 1 revealed high factor loading on fitness compared to Factor 2 as it was significantly related to anthropometrics. A model was obtained using standardized coefficient of factor 1. Three clusters of performance were shaped in view by categorizing APCI ≥ 75%, 25% ≤ APCI < 75% and APCI < 25% as high, moderate and low performance group respectively. Three discriminated variables out of thirteen variables were obtained using Forward and Backward stepwise mode of DA, which were weight, standing broad jump, and 40 meters’ speed. Such variables were established as essential indicator for selecting the best player among male U12.   

scholarly journals STATISTICAL MULTIVARIATE ANALYSIS APPLIED TO ENVIRONMENTAL CHARACTERIZATION OF SOIL IN SEMIARID REGION1

2019 ◽  
Vol 32 (1) ◽  
pp. 200-210
Author(s):  
Antônio Italcy de Oliveira Júnior ◽  
Luiz Alberto Ribeiro Mendonça ◽  
Sávio de Brito Fontenele ◽  
Adriana Oliveira Araújo ◽  
Maria Gorethe de Sousa Lima Brito
Keyword(s):  
Organic Matter Content ◽  
Principal Component ◽  
Matter Content ◽  
Multivariate Statistical ◽  
Statistical Tool ◽  
Environmental Characterization ◽  
Hierarchical Grouping ◽  
Two Factors ◽  
Total Data

ABSTRACT Soil is a dynamic and complex system that requires a considerable number of samples for analysis and research purposes. Using multivariate statistical methods, favorable conditions can be created by analyzing the samples, i.e., structural reduction and simplification of the data. The objective of this study was to use multivariate statistical analysis, including factorial analysis (FA) and hierarchical groupings, for the environmental characterization of soils in semiarid regions, considering anthropic (land use and occupation) and topographic aspects (altitude, moisture, granulometry, PR, and organic-matter content). As a case study, the São José Hydrographic Microbasin, which is located in the Cariri region of Ceará, was considered. An FA was performed using the principal component method, with normalized varimax rotation. In hierarchical grouping analysis, the “farthest neighbor” method was used as the hierarchical criterion for grouping, with the measure of dissimilarity given by the “square Euclidean distance.” The FA indicated that two factors explain 75.76% of the total data variance. In the analysis of hierarchical groupings, the samples were agglomerated in three groups with similar characteristics: one with samples collected in an area of the preserved forest and two with samples collected in areas with more anthropized soils. This indicates that the statistical tool used showed sensitivity to distinguish the most conserved soils and soils with different levels of anthropization.

Use of the Perceived Physical Competence Scale with Adolescents with Disabilities

1995 ◽  
Vol 80 (2) ◽  
pp. 571-577 ◽  
Author(s):  
Taru Lintunen ◽  
Pilvikki Heikinaro-Johansson ◽  
Claudine Sherrill
Keyword(s):  
Gender Differences ◽  
Factor Analysis ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Validity And Reliability ◽  
Varimax Rotation ◽  
Physical Competence ◽  
Related Literature ◽  
Competence Scale ◽  
Two Factors

The construct validity and reliability of the 1987 Perceived Physical Competence Scale of Lintunen were examined to assess the applicability of the instrument for use with adolescents with disabilities. Subjects were 51 girls and 34 boys ( M age = 15.1 yr.) from several schools in central Finland. Principal component factor analysis with varimax rotation yielded the same two factors for adolescents with disabilities as reported for nondisabled adolescents in the related literature. Cronbach alphas for the two factors were .89 and .56. It was concluded that the scale is an appropriate measure for adolescents with disabilities. Statistical analysis indicated no gender differences for adolescents with disabilities. When compared with nondisabled groups in the related literature, these adolescents had perceived fitness similar to nondisabled peers but significantly lower than that of athletes without disabilities.

scholarly journals Psychometric Evaluation of the Perceived Stress Scale in Multiple Sclerosis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Salene M. Wu ◽  
Dagmar Amtmann
Keyword(s):  
Multiple Sclerosis ◽  
Perceived Stress ◽  
Factor Model ◽  
Reliability And Validity ◽  
Psychometric Evaluation ◽  
General Factor ◽  
Perceived Stress Scale ◽  
Stress Scale ◽  
Two Factors ◽  
Mental And Physical Health

Multiple sclerosis (MS) is a progressive disease characterized by neurological symptoms and sometimes heightened levels of distress. The Perceived Stress Scale (PSS) is often used in MS samples to measure stress but has not been validated in this population. Participants (n=446) completed the PSS as well as measure of depression, anxiety, and mental and physical health. Factor analyses indicated that the general factor of a bifactor model accounted for a large amount of the variance in the 14-item and 10-item versions of the PSS. The 4-item PSS had two factors, the Stress subscale and the Coping subscale, but a one-factor model also fits the data well. Total scores and both subscales had sufficient reliability and validity for all versions of the PSS, although a few items of the 14-item PSS had low item-total correlations. This study supports the use of the total score of the PSS in MS but also suggests that the 10-item PSS had better psychometric properties than the 14-item PSS.

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