scholarly journals The INSPIRE Support sub-scale: A critical view of the psychometric properties focusing on dimensionality

2021 ◽  
Author(s):  
Jūratė Šaltytė Benth ◽  
Regina Skar-Fröding ◽  
Torleif Ruud ◽  
Hanne Kristin Clausen ◽  
Kristin Sverdvik Heiervang
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Statistical Approach ◽  
Personal Recovery ◽  
Five Dimensions ◽  
Critical View ◽  
One Dimensional ◽  
Sum Score ◽  
Rotation Methods ◽  
Using Data

AbstractThe statistical methods previously used for assessing dimensionality of the INSPIRE Support sub-scale are often not valid, which may lead to inaccurate conclusions. The first aim of this paper was to present and discuss the methods for assessing the dimensionality of the scale. The second aim was to illustrate these methods using data from a Norwegian translation of the INSPIRE Support sub-scale. Exploratory factor analysis with several extraction and rotation methods was used to identify the dimensionality of the scale. Cronbach’s alpha and omega coefficient were employed to assess the internal consistency. Using the recognized statistical approach, there was no clear structure found in the Support sub-scale, indicating that the scale might be one-dimensional. While single items or sum score of the INSPIRE Support sub-scale might cover important aspects of the personal recovery concept, there is no evidence of the five CHIME dimensions of this scale as published earlier. A more thorough assessment is called for, and results from studies using the five dimensions should be interpreted with caution.

scholarly journals The Development and Psychometric Validation of a Comprehensive Measure Assessing Fear of Incompetence among Adults Who Have a Family Member with Dementia

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Ashley E. Thompson ◽  
Anca M. Miron ◽  
Jonathan M. Rogers ◽  
Rudy Rice
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Family Member ◽  
Factor Structure ◽  
Family Members ◽  
Psychometric Validation ◽  
Temporal Consistency ◽  
Close Family Member ◽  
Using Data ◽  
Close Family

Because the interpersonal skills of individuals with dementia often decline, family members may question their own ability to interact meaningfully. These family members may experience fear of incompetence (i.e., fear of being unable to relate in a meaningful way or take care of a close family member with dementia). Thus, the goal of this research was to develop, refine, and psychometrically validate a scale (Fear of Incompetence—Dementia Scale; FOI-D) assessing fear of incompetence in the context of relationships with a close family member diagnosed with dementia. Three online studies were conducted to accomplish the primary objective. In Study One, the factor structure of the FOI-D was assessed by conducting an exploratory factor analysis using data from 710 adults who indicated having a close living family member who had been diagnosed with dementia. In Study Two, the factor structure was validated via a confirmatory factor analysis and the psychometric properties were established using data from 636 adults who had a family member with dementia. Finally, Study Three determined the temporal consistency of the scale by retesting 58 participants from Study Two. The results from Study One indicated that the FOI-D Scale accounted for 51.75% of the variance and was comprised of three subscales: the Interaction Concerns subscale, the Caregiving Concerns subscale, and the Knowledge Concerns subscale. In Study Two, the three-factor structure was supported, resulting in a 58-item scale. Investigation of the psychometric properties demonstrated the FOI-D to be reliable and valid. In Study Three, the FOI-D Scale demonstrated excellent temporal consistency. This research provides future investigators, educators, and practitioners with an adaptable comprehensive tool assessing fear of incompetence in a variety of settings.

scholarly journals Psychometric properties of the hospital birth satisfaction scale: Birth in Brazil survey

2019 ◽  
Vol 35 (8) ◽  
Author(s):  
Dayana Dourado de Oliveira Costa ◽  
Valdinar Sousa Ribeiro ◽  
Marizélia Rodrigues Costa Ribeiro ◽  
Ana Paula Esteves-Pereira ◽  
Lucas Guimarães Cardoso de Sá ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Private Insurance ◽  
Maternity Hospital ◽  
Satisfaction Scale ◽  
One Dimensional ◽  
Factor Loadings ◽  
Hospital Birth ◽  
Birth Satisfaction ◽  
The One

The objective of this study was to analyze the psychometric properties of the hospital birth satisfaction scale with data from the first follow-up interview of the Birth in Brazil survey. The 11 questions of the scale were asked by telephone up to six months after discharge in a stratified random sample of 16,109 women residing in all five regions of the country. The sample was randomly divided into two halves. Exploratory factor analysis (EFA) was applied to the first half in order to identify the scale’s factorial structure. The scree plot suggested the scale to be one-dimensional. The EFA demonstrated a good fit of the one-dimensional model. Factor loadings were greater than 0.5 for all items, except for the mean time transpired between leaving the home and arriving at the maternity hospital, which was excluded from the next analysis. The confirmatory factor analysis applied to the sample’s second half with the remaining ten items had a good fit and the factor loadings were > 0.50 with p-values < 0.001. The associations between birth satisfaction and the external variables, the mother’s education level (standardized coefficient = 0.073; p = 0.035), private insurance (SC = 0.183; p < 0.001) and having a companion at some point during the hospitalization for labor (SC = 0.193; p = 0.001) were all as expected. There was evidence of configural and metric invariance according to type of hospital (private or public) and type of delivery (cesarean or vaginal). These results showed that the hospital birth satisfaction scale in Brazil is a one-dimensional instrument composed of ten items.

scholarly journals DEVELOPMENT AND PSYCHOMETRIC PROPERTIES OF PARENTAL EXPRESSED EMOTIONS SCALE

2021 ◽  
Vol 71 (Suppl-1) ◽  
pp. S219-23
Author(s):  
Shammem Akhtar ◽  
Zaqia Bano
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Target Population ◽  
Cross Sectional Study ◽  
P Value ◽  
Cross Sectional ◽  
Five Dimensions ◽  
Initial Item ◽  
Family Interview ◽  
Expressed Emotions

Objective: To construct a scale and psychometric properties for the assessment of Parental expressed emotions scale in Urdu language. Study Design: Cross sectional study. Place and Duration of Study: Department of Psychology, University of Gujrat, from Mar to Oct 2019. Methodology: The initial item pool of 224 items was generated with the help of CFI (Camber well Family Interview description of parental expressed emotions scale, literature review and three focus groups with target population. Among the 124 expert evaluated items after pilot study 100 items were retained which included the five dimensions of parental expressed emotions scale including, Criticalcomments, Hostility, Emotional overinvolvement, Warmth and Positive remarks. Furthermore, in the final administration of this scales data were collected from 380 parents (both mothers & fathers) from the educational institutions and community of Gujrat using self-reported questionnaire. The exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and reliability analysis were implied for data scrutiny. Results: The final administration of 100 items was handed over to 380 participants. The model fit showed a p-value of 0.000 that established the structure validity and significance of the items to its subscales. At the final stage among the 100 items 31 were reliable for further use. Conclusion: A scale to measure parental expressed emotions in Urdu language is competently established with 31 questions andfive sub-scales.

Validation of a Chinese Version of the Attitudes Toward Prisoners Scale

2019 ◽  
Vol 99 (5) ◽  
pp. 614-635
Author(s):  
Wing Hong Chui ◽  
Kevin Kwok-yin Cheng
Keyword(s):  
Factor Analysis ◽  
Hong Kong ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Cross Cultural ◽  
Chinese Version ◽  
One Dimensional ◽  
Dimensional Spectrum

Using a Hong Kong–sourced sample of participants, this study set out to validate the Chinese version of the Attitudes Toward Prisoners (ATP-C) Scale and evaluate its psychometric properties. To provide further evidence for the ATP-C Scale’s validity, it was then administered to three groups varying in their volunteering experience in Hong Kong. Exploratory factor analysis revealed a four-factor structure that differs from the unidimensional model proposed by the scale developers. Cronbach’s alpha values were satisfactory for all four subscales, and construct validity of the ATP-C Scale was also assessed with a second sample of participants. Implications for the assessment of attitudes toward prisoners away from a one-dimensional spectrum and further directions for cross-cultural studies on related topics are discussed.

Polish Adaptation of the Death Attitude Profile—Revised

2018 ◽  
Vol 81 (1) ◽  
pp. 18-36 ◽  
Author(s):  
Paweł Brudek ◽  
Marcin Sękowski ◽  
Stanisława Steuden
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Fear Of Death ◽  
Five Dimensions ◽  
Final Version ◽  
Attitudes Toward Death ◽  
Confirmatory Factor ◽  
Polish Version ◽  
Polish Adaptation

The article presents the results of work on the Polish adaptation of the Death Attitude Profile—Revised by Wong, Reker, and Gesser (1994). The psychometric properties of the Polish version of the tool have been described. The results are consistent with the original version of the questionnaire and confirm that the Polish version of Death Attitude Profile—Revised fulfils the psychometric requirements for psychological tests and, as a result, can be applied in scientific research. The final version of the questionnaire consists of 32 items (including 31 diagnostic ones) that make up five dimensions of attitudes toward death: (a) Fear of Death, (b) Death Avoidance, (c) Neutral Acceptance, (d) Escape Acceptance, and (e) Approach Acceptance. The questionnaire was tested on 1,285 subjects aged 13 to 90 years ( M = 47.27, SD = 18.21). Reliability values (Cronbach’s α) for individual scales vary from α = .63 to α = .89. Confirmatory factor analysis was used to evaluate the validity of the questionnaire.

scholarly journals LIETUVIŠKOSIOS HIERARCHINIO VAIKO ASMENYBĖS APRAŠO (HiPIC) VERSIJOS PSICHOMETRINĖS CHARAKTERISTIKOS

Psichologija ◽  
2013 ◽  
Vol 47 ◽  
pp. 24-43
Author(s):  
I. Grauslienė ◽  
R. Barkauskienė
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Personality Traits ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Inventory ◽  
Five Dimensions ◽  
Personality Inventory For Children

Penkių faktorių modelis yra plačiai taikomas tiriant vaikų ir paauglių asmenybės bruožus skirtingais amžiaus tarpsniais: nuo ankstyvosios vaikystės iki vėlyvosios paauglystės. Įvairiais tyrimais įrodyta, kad Penkių faktorių modelis yra tinkamas aprašyti vaiko asmenybę. Šiuo tyrimu buvo siekiama įvertinti kai kuriuos lietuviškosios Hierarchinio vaiko asmenybės aprašo versijos (HiPIC, Mervielde and De Fruyt, 1999) psichometrinius rodiklius. HiPIC yra skirtas įvertinti 6–12 metų vaikų asmenybės dimensijoms remiantis Penkių faktorių modeliu. Tyrimą sudarė trys etapai, kuriuose dalyvavo 1 081 tėvai, auginantys 7–11 metų vaikus. Visų etapų metu buvo gauti duomenys apie 739 vaikų asmenybės bruožus, kuriuos apibūdino abu arba vienas tėvų. HiPIC aukštesniojo lygmens bruožų skalių vidinis teiginių suderintumas svyravo nuo 0,806 iki 0,909, o žemesniojo lygmens bruožų subskalių vidinis teiginių suderintumas buvo nuo 0,574 iki 0,873. Faktorinė subskalių analizė atskleidė, kad aiškesnė yra keturių, o ne penkių faktorių struktūra, kurioje išryškėjo sąmoningumo ir vaizduotės dimensijų subskalių junginys, sudarantis vieną, o ne du atskirus faktorius. Rezultatų analizė atskleidė, kad lietuviškoji HiPIC versija yra patikima, konstrukto validumas keturių faktorių modeliui yra pakankamai geras, taigi šis aprašas gali būti naudojamas atliekant mokslinius tyrimus.Pagrindiniai žodžiai: vaikų asmenybės bruožai, Penkių faktorių modelis, HiPIC, psichometrinės charakteristikos.PSYCHOMETRIC PROPERTIES OF THE LITHUANIAN VERSION OF THE HIERARCHICAL PERSONALITY INVENTORY FOR CHILDREN (HiPIC)Izabelė Grauslienė, Rasa Barkauskienė SummaryThe Five-factor Model (FFM) is currently the most common dimensional approach to personality traits. Research of children’s personality traits is a new challenge for scientists, which motivates to step into an almost unknown area. These investigations were encouraged by the success of the Five-factor Model research on adults: scientists quite intensively started going deeper into the research of children’s personality traits starting from early childhood till late adolescence. The present study was designed to investigate the psychometric properties of the Lithuanian version of the Hierarchical Personality Inventory for Children (HiPIC, Mervielde and De Fruyt, 1999). The HiPIC is an instrument to assess the five dimensions of the five-factor model for children between 6 and 12 years. The HiPIC measures 18 facets grouped into five dimensions: Extraversion, Conscientiousness, Benevolence, Emotional Stability, and Imagination (Mervielde and De Fruyt, 1999). This inventory, contrary to the NEO PI-R, was developed using a bottom-up strategy (Mervielde and De Fruyt, 2002).The present research included three phases. A parent rating was obtained for 739 children all aged between 7 and 11. Some children were rated by their both parents, some by mother or farther; 1081 parents filled the questionnaires. The HiPIC was distributed in the classroom by the researchers to the children who had to bring the questionnaire to their parents. All 144 HiPIC items were translated and retranslated into Lithuanian by professional translators with the author of the inventory supervision during all three phases of the research.The facets’ internal consistency was estimated by the Cronbach alpha coefficient. At the domain level, the internal consistency ranged from 0.808 to 0.909, and at the facet level the internal consistency ranged within 0.574–0.873. In order to assess the construct validity, we conducted a principal componentexploratory factor analysis with the varimax rotation of the 18 facet scales. In order to compare the factorial structure with the theoretical structure of the inventory, first we chose to extract five factors, but the further factor analysis showed that the Lithuanian HiPIC version had more arguments for a four-factor structure with a blend of the Conscientiousness and Imagination domains and explaining 71.93% of variance.The Lithuanian version of the HiPIC is reliable, although construct validity indicators had some weakness. The internal consistencies are satisfactory and similar to those found with the original Flemish version and the French version. As a conclusion, the Lithuanian HiPIC version can be used in scientific research in assessing children’s personality traits.This research was funded by a grant (No. MIP-016/2012) from the Research Council of Lithuania.Key words: children’s personality traits, the Five Factor Model, HiPIC, psychometric properties.

Psychometric Evaluation of the Hall Professionalism Scale

1995 ◽  
Vol 77 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Karen Norman Kennedy ◽  
Rosemary Ramsey
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Psychometric Evaluation ◽  
Business Environment ◽  
Statistical Techniques ◽  
Five Dimensions ◽  
Confirmatory Factor

An assessment of the psychometric properties of the Hall Professionalism Scale (1968) was made to evaluate its use in today's dynamic business environment. Responses of 143 salespeople did not support the original five dimensions in confirmatory factor analysis. Through exploratory statistical techniques, modifications to this scale are discussed. Further research is recommended.

The Factor Structure and Psychometric Properties of the Resiliency Scale in Chinese Undergraduates

2010 ◽  
Vol 26 (3) ◽  
pp. 162-171 ◽  
Author(s):  
Lixia Cui ◽  
Xiujie Teng ◽  
Xupei Li ◽  
Tian P.S. Oei
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Concurrent Validity ◽  
Higher Order ◽  
Criterion Variable ◽  
Confirmatory Factor ◽  
High Level ◽  
Chinese Undergraduates

The current study examined the factor structure and the psychometric properties of Sandra Prince-Embury’s Resiliency Scale for Adolescents (RESA) in Chinese undergraduates. A total of 726 undergraduate students were randomly divided into two subsamples: Sample A was used for the exploratory factor analysis (EFA) and Sample B was used for the confirmatory factor analysis (CFA). The EFA revealed that 56 items and a model of 10 factors with 3 higher order factors (as described by Sandra) were to be retained; CFA with Sample B confirmed this result. The overall scale and the subscales of the Chinese-RESA demonstrated a high level of internal consistency. Furthermore, concurrent validity was demonstrated by the correlation of the scale with other instruments such as the PANAS and the CSS, and the predictive validity was confirmed via three multiple regression analyses using the PANAS as a criterion variable: one for the 10 subscales of the C-RESA, one for the 3 higher order scales, and one for the total C-RESA. We concluded that the C-RESA may be used for research into Chinese undergraduates’ adaptive behaviors.

A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data

Methodology ◽  
2019 ◽  
Vol 15 (Supplement 1) ◽  
pp. 43-60 ◽  
Author(s):  
Florian Scharf ◽  
Steffen Nestler
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Simple Structure ◽  
Ground Truth ◽  
Event Related Potential ◽  
Suitable Alternative ◽  
Factor Rotation ◽  
Rotation Methods ◽  
Simple Structure Rotation ◽  
Temporal Overlap

Abstract. It is challenging to apply exploratory factor analysis (EFA) to event-related potential (ERP) data because such data are characterized by substantial temporal overlap (i.e., large cross-loadings) between the factors, and, because researchers are typically interested in the results of subsequent analyses (e.g., experimental condition effects on the level of the factor scores). In this context, relatively small deviations in the estimated factor solution from the unknown ground truth may result in substantially biased estimates of condition effects (rotation bias). Thus, in order to apply EFA to ERP data researchers need rotation methods that are able to both recover perfect simple structure where it exists and to tolerate substantial cross-loadings between the factors where appropriate. We had two aims in the present paper. First, to extend previous research, we wanted to better understand the behavior of the rotation bias for typical ERP data. To this end, we compared the performance of a variety of factor rotation methods under conditions of varying amounts of temporal overlap between the factors. Second, we wanted to investigate whether the recently proposed component loss rotation is better able to decrease the bias than traditional simple structure rotation. The results showed that no single rotation method was generally superior across all conditions. Component loss rotation showed the best all-round performance across the investigated conditions. We conclude that Component loss rotation is a suitable alternative to simple structure rotation. We discuss this result in the light of recently proposed sparse factor analysis approaches.

Sign in / Sign up

Export Citation Format

Share Document