scholarly journals Assessing Women’s Menstruation Concerns and Experiences in Rural India: Development and Validation of a Menstrual Insecurity Measure

2020 ◽  
Vol 17 (10) ◽  
pp. 3468
Author(s):  
Bethany A. Caruso ◽  
Gerard Portela ◽  
Shauna McManus ◽  
Thomas Clasen
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Water Source ◽  
Cross Sectional ◽  
Negative Experiences ◽  
Menstruating Women ◽  
Fit Index ◽  
Post Hoc ◽  
Development And Validation ◽  
Tucker Lewis Index

Qualitative research has documented menstruator’s challenges, particularly in water and sanitation poor environments, but quantitative assessment is limited. We created and validated a culturally-grounded measure of Menstrual Insecurity to assess women’s menstruation-related concerns and negative experiences. With cross-sectional data from 878 menstruating women in rural Odisha, India, we carried out Exploratory (EFA) and Confirmatory (CFA) Factor Analyses to reduce a 40-item pool and identify and confirm the scale factor structure. A 19-item, five factor model best fit the data (EFA: root mean square error of approximation (RMSEA) = 0.027; comparative fit index (CFI) = 0.994; Tucker-Lewis index (TLI) = 0.989; CFA: RMSEA = 0.058; CFI = 0.937; TLI = 0.925). Sub-scales included: Management, Menstrual Cycle Concerns, Symptoms, Restrictions, and Menstruation-Related Bodily Concerns. Those without access to a functional latrine, enclosed bathing space, water source within their compound, or who used reusable cloth had significantly higher overall Menstrual Insecurity scores (greater insecurity) than those with these facilities or using disposable pads. Post-hoc exploratory analysis found that women reporting experiencing tension at menstrual onset or difficulty doing work had significantly higher Menstrual Insecurity scores. This validated tool is useful for measuring Menstrual Insecurity, assessing health inequities and correlates of Menstrual Insecurity, and informing program design.

scholarly journals Development and Validation of the Influence Regulation and Deinfluentization Scale (DEI-beh)

2015 ◽  
Vol 13 (4) ◽  
pp. 91-108 ◽  
Author(s):  
Barbara Kożusznik ◽  
Anita Pollak ◽  
Dominik Adamek ◽  
Damian Grabowski
Keyword(s):  
Personality Traits ◽  
Diagnostic Tool ◽  
External Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Managerial Effectiveness ◽  
Team Members ◽  
Validation Procedure ◽  
Reciprocal Influences ◽  
Development And Validation

Abstract Our article presents work on the development and validation of Influence Regulation and Deinfluentization Scale (DEI-beh). Reviewing concepts regarding its influence constitutes an introduction to the original deinfluentization concept coined by Barbara Kożusznik. The author’s theory has provided the basis for creating a diagnostic tool. The elaborated DEI-beh method consists in evaluating conditions which determine managerial effectiveness and shape reciprocal influences among team members. Our article describes this tool’s creation and its validation procedure. Positive relationships between DEI-beh’s individual dimensions and temperament characteristics, defined in Pavlov’s concept (1952), and selected personality traits, proposed in the Five-Factor Model Personality by Costa and McCrae (1992), confirm the tool’s external validity.

Determining the Number of Factors When Population Models Can Be Closely Approximated by Parsimonious Models

2021 ◽  
pp. 001316442199283
Author(s):  
Yan Xia
Keyword(s):  
Factor Model ◽  
Population Level ◽  
Parallel Analysis ◽  
Model Data ◽  
Behavioral Studies ◽  
Number Of Factors ◽  
Parsimonious Models ◽  
Parsimonious Model ◽  
Fit Index ◽  
Tucker Lewis Index

Despite the existence of many methods for determining the number of factors, none outperforms the others under every condition. This study compares traditional parallel analysis (TPA), revised parallel analysis (RPA), Kaiser’s rule, minimum average partial, sequential χ2, and sequential root mean square error of approximation, comparative fit index, and Tucker–Lewis index under a realistic scenario in behavioral studies, where researchers employ a closing–fitting parsimonious model with K factors to approximate a population model, leading to a trivial model-data misfit. Results show that while traditional and RPA both stand out when zero population-level misfits exist, the accuracy of RPA substantially deteriorates when a K-factor model can closely approximate the population. TPA is the least sensitive to trivial misfits and results in the highest accuracy across most simulation conditions. This study suggests the use of TPA for the investigated models. Results also imply that RPA requires further revision to accommodate a degree of model–data misfit that can be tolerated.

A psychometric evaluation of the job crafting questionnaire (JCRQ) among employees working in Jordanian universities

2019 ◽  
Vol 27 (1) ◽  
pp. 36-50 ◽  
Author(s):  
Mohammed Yasin Ghadi
Keyword(s):  
Construct Validity ◽  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Evaluation ◽  
Job Crafting ◽  
Cross Sectional ◽  
Content Type ◽  
Five Dimensions ◽  
Cross Sectional Design

Purpose Job crafting is recently argued to have five dimensions (Nielsen et al., 2017): increasing challenging demands, decreasing social demands, increasing social job resources, increasing quantitative demands and decreasing hindrance demands. The purpose of this study aimed to investigate the psychometric properties and construct validity of the five-factor model of job crafting, introduced by using a sample of Jordanian university employees. Design/methodology/approach A pre-determined survey on was used. Accordingly, 513 professional workers in several universities completed the survey. Cronbach’s alpha was used to assess the internal consistency of the scale, whereas series of confirmatory factor (CFA) analysis and exploratory factor analysis (EFA) were conducted to assess the scale’s factorial and discriminant validity. Other tests were also conducted. Findings As predicted, the proposed model best fit the data. Statistical analysis yielded several findings. First, the results of the reliability test revealed that the five sub-scales of job crafting had significant and sufficiently strong internal consistencies. Second, the results showed that the 15 items loaded significantly with a factor loadings more than 0.50. Third, the CFA results confirmed that the five-factor model best fitted the data in comparison to the one-factor model. Finally, the construct validity of JCRQ-15 was confirmed through its correlation with several validating variables. Research limitations/implications Some limitations need to be addressed. First, the sample came from participants working in specific Jordanian universities which may limit the generalization that could be made from the results to other occupations. Second, due to the cross-sectional design of the present study, the question remains whether the JCRQ-15 are stable overtime. Third, the common methods bias might be a problem because it is one of the main sources of measurement error in validation studies using self-reported scales. Originality/value The present study provided an early supportive evidence for the use of the JCRQ-15 as a valid measure of job crafting in the Jordanian context.

scholarly journals Internal Consistency and Structural Validity of the Norwegian Translation of the Ten-Item Personality Inventory

2021 ◽  
Vol 12 ◽  
Author(s):  
Mikkel Magnus Thørrisen ◽  
Talieh Sadeghi ◽  
Jannecke Wiers-Jenssen
Keyword(s):  
Psychometric Properties ◽  
Internal Consistency ◽  
Factor Model ◽  
Rank Order ◽  
Five Factor Model ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Personality Inventory ◽  
Structural Validity ◽  
Cross Sectional

Background: The Ten-Item Personality Inventory (TIPI) is a validated brief instrument measuring the five-factor model (FFM) personality dimensions, developed for instances where more comprehensive FFM instruments are impractical to use. The TIPI has been translated into several languages, but psychometric properties of the Norwegian version (N-TIPI) have not been systematically explored.Objectives: This study aimed to explore the psychometric properties of the N-TIPI, in terms of internal consistency and structural validity.Methods: In a cross-sectional study, responses on the N-TIPI were collected from 5,009 Norwegian master graduates. Descriptive statistics for the subscales and correlations between subscales were calculated. Internal consistency was assessed with inter-item correlations, Cronbach’s α and Spearman-Brown coefficients. Structural validity was explored with principal component analysis, parallel analysis, and visual scree plot inspection. Results for the N-TIPI were compared with those previously reported for the original TIPI as well as the German, French, Spanish, and Portuguese versions.Results: Compared with the original and non-English versions of TIPI, results for N-TIPI showed comparable subscale rank order of means, standard deviations, and pattern of correlations between subscales, as well as inter-item correlations and Cronbach’s α. The 10 N-TIPI items were adequately reduced to five components, theoretically corresponding with the FFM personality domains.Conclusion: The N-TIPI demonstrated acceptable internal consistency and satisfactory structural validity. Although further research is warranted, the instrument stands out as feasible when it is essential to minimize participants’ response burden in studies that aim to explore personality as one among several concepts or utilize personality traits as covariates.

scholarly journals Intentional Self-Harm and Personality Traits using Big Five Factor Model in Patients Presenting to a Tertiary Level Hospital

2019 ◽  
Vol 8 (1) ◽  
pp. 11-16
Author(s):  
S Paudyal ◽  
SP Ojha ◽  
P Tulachan ◽  
S Dhungana ◽  
R Kafle
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Public Health Problem ◽  
Tertiary Hospital ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Self Harm ◽  
Emergency Department Patients ◽  
Relationship Of

Introduction: Suicide is an important, largely preventable public health problem. The occurrence of suicide and suicidal behavior has been increasing dramatically. There is a growing recognition that the personality traits is important risk factor for intentional self-harm (suicide/ purposely self-inflicted poisoning or injury). This study was done to assess the personality traits in patients presenting with intentional self-harm and relationship of intent of the self-harm with personality traits. Material And Method: A cross sectional study was conducted in patients presenting with Intentional self-harm to tertiary hospital emergency department. Patients who met inclusion criteria and gave consent during six months period were included, Socio demographic information and detailed history was taken. The suicide intent scale and five factor model rating form were administered to the patients. Results: Most patients who presented with intentional self –harm scored median score of 4 (high) in anger hostility, self-consciousness, impulsivity and altruism traits while in other traits they scored neutral score, which concluded that patients who presented with intentional self–harm were more bitter, short-tempered, timid, impulsive and sacrificial. The study showed that the relation of certain traits as anxiousness, impulsivity, vulnerability, gregariousness, ideas, trust, straightforwardness, altruism, competence, order and SIS grading was statistically significant (p=<0.05). Conclusion: Our findings suggest that patients who presented with intentional self–harm were more bitter, short–tempered, timid, impulsive and sacrificial. Further patients who committed intentional self harm with low intent were more impulsive, vulnerable, outgoing, haphazard and sloppy as compared to those who committed with high intent who were rather more anxious and sacrificial.

The Covert and Overt Reassurance Seeking Inventory (CORSI): Development, validation and psychometric analyses

2020 ◽  
pp. 1-18
Author(s):  
Adam S. Radomsky ◽  
Rachael L. Neal ◽  
Chris L. Parrish ◽  
Stefanie L. Lavoie ◽  
Sarah E. Schell
Keyword(s):  
Goodness Of Fit ◽  
Factor Model ◽  
Five Factor Model ◽  
Oblique Rotation ◽  
Confirmatory Factor Analyses ◽  
Reassurance Seeking ◽  
Compulsive Disorder ◽  
Psychometric Analyses ◽  
Strong Measure ◽  
Fit Index

Abstract Background: Reassurance seeking (RS) is motivated by perceived general and social/relational threats across disorders, yet is often under-recognized because it occurs in covert (i.e. subtle) and overt forms. Covert safety-seeking behaviour may maintain disorders by preventing corrective learning and is therefore important to identify effectively. Aims: This study presents the validation and psychometric analyses of a novel measure of covert and overt, general and social/relational threat-related interpersonal RS. Method: An initial 30-item measure was administered to an undergraduate sample (N = 1626), as well as to samples of individuals diagnosed with obsessive compulsive disorder (OCD; n = 50), anxiety disorders (n = 60) and depression (n = 30). The data were subjected to exploratory and confirmatory factor analyses, and validation analyses. Results: An exploratory factor analysis using principal axis factoring with oblique rotation yielded five interpretable factors, after removing four complex items. The resulting 26-item measure, the Covert and Overt Reassurance Seeking Inventory (CORSI), evidenced good convergent and divergent validity and accounted for 54.99% of the total variance after extraction. Factor correlations ranged from r = .268 to .736, suggesting that they may be tapping into unique facets of RS behaviour. In comparison with undergraduate participants, all clinical groups had significantly higher total scores [t (51.80–840) = 3.92–5.84, p < .001]. The CFA confirmed the five-factor model with good fit following the addition of four covariance terms (goodness of fit index = .897, comparative fit index = .918, Tucker–Lewis index = .907, root mean square error approximation = .061). Conclusion: The CORSI is a brief, yet comprehensive and psychometrically strong measure of problematic RS. With further validation, the CORSI has potential for use within clinical and research contexts.

scholarly journals The Bereavement Guilt Scale

2015 ◽  
Vol 75 (2) ◽  
pp. 166-183 ◽  
Author(s):  
Jie Li ◽  
Magaret Stroebe ◽  
Cecilia L. W. Chan ◽  
Amy Y. M. Chow
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Testing ◽  
Multiple Components ◽  
Self Forgiveness ◽  
Confirmatory Factor ◽  
Theoretical Predictions ◽  
Test Retest Reliability ◽  
Development And Validation ◽  
Depth Interviews

The rationale, development, and validation of the Bereavement Guilt Scale (BGS) are described in this article. The BGS was based on a theoretically developed, multidimensional conceptualization of guilt. Part 1 describes the generation of the item pool, derived from in-depth interviews, and review of the scientific literature. Part 2 details statistical analyses for further item selection (Sample 1, N = 273). Part 3 covers the psychometric properties of the emergent-BGS (Sample 2, N = 600, and Sample 3, N = 479). Confirmatory factor analysis indicated that a five-factor model fit the data best. Correlations of BGS scores with depression, anxiety, self-esteem, self-forgiveness, and mode of death were consistent with theoretical predictions, supporting the construct validity of the measure. The internal consistency and test–retest reliability were also supported. Thus, initial testing or examination suggests that the BGS is a valid tool to assess multiple components of bereavement guilt. Further psychometric testing across cultures is recommended.

Does managerial personality influence pricing practices under uncertainty?

2017 ◽  
Vol 26 (7) ◽  
pp. 771-784 ◽  
Author(s):  
Mario Kienzler
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Cross Sectional Study ◽  
Individual Characteristics ◽  
Openness To Experience ◽  
Cross Sectional ◽  
Content Type ◽  
Pricing Decisions ◽  
The Relationship

Purpose While marketing and management research suggests that managers’ individual characteristics influence pricing decisions, the influence of personality traits in this context remains unclear. This study aims to explore the relationship between the five basic personality traits of the five-factor model (extraversion, conscientiousness, openness to experience, agreeableness and neuroticism) and three basic pricing practices (value-, competition- and cost-informed). Design/methodology/approach On the basis of a non-experimental decision-making scenario, the analysis examines the pricing decisions of 57 managers in relation to a new business service. Findings The results suggest that managers’ conscientiousness and openness to experience are positively related to preference for value-informed pricing. Similarly, managers’ agreeableness is positively related to preference for competition-informed pricing and managers’ openness to experience and agreeableness are positively related to preference for cost-informed pricing. Research limitations/implications The cross-sectional study design does not support causal inference, and the modest sample size may limit the external validity of the findings. Practical implications By increasing awareness of the influence of personality on pricing preferences, the findings are of relevance to managers who are directly involved in pricing decisions. Additionally, the findings are informative for managers who must assign responsibility for pricing authority within firms. Originality/value This empirical exploration of the relationship between certain personality traits and specific pricing practices contributes to the literature on psychological aspects of pricing theory by showing how managerial personality influences pricing preferences under uncertainty.

scholarly journals Measuring Failures Proneness: Scale Development and Preliminary Validations

2021 ◽  
Vol 12 ◽  
Author(s):  
Irene Diamant ◽  
Zohar Rusou
Keyword(s):  
Individual Differences ◽  
Factor Structure ◽  
Factor Model ◽  
Five Factor Model ◽  
Self Report ◽  
Deviant Behaviors ◽  
Initial Stage ◽  
One Step ◽  
Development And Validation ◽  
Preliminary Phase

Behavioral failures can serve as precursors for accidents. Yet, individual differences in the predisposition to behavioral failures have predominantly been investigated within relatively narrow parameters, with the focus limited to subsets of behaviors or specific domains. A broader perspective might prove useful in illuminating correlations between various forms of accidents. The current research was undertaken as one step toward developing the concept of behavioral failures proneness in its multidimensional aspect. We report the initial stage of the development and validation of the Failures Proneness questionnaire (FP): a brief, multifaceted, self-report scale of common behavioral failures in everyday settings. In a preliminary phase we conceived an extensive pool of prospective items. Study 1 identified and validated the factor-structure of FP and reduced the scale to a brief measure of 16 items. Study 2 corroborated the factor structure of the FP and evaluated its construct validity by assessing its relationship with the Five Factor Model (FFM) of personality traits. Study 3 tested the criterion-related validity of the FP by assessing its ability to predict deviant behaviors. These studies provide evidence of the FP’s performance in generating valuable information on a broad range of behavioral antecedents of accidents.

Sign in / Sign up

Export Citation Format

Share Document