Perceived Restorativeness for Activities Scale (PRAS): Development and Validation

Background:The purpose of this study was to develop the Perceived Restorativeness for Activities Scale (PRAS) based on the conceptual framework of attention-restoration theory (ART). ART suggests that 4 latent constructs (being away, fascination, extent, and compatibility) must be present to enable a switch from voluntary (effortful, directed) attention to involuntary (effortless) attention and facilitate restored attention.Method:Data were collected from 238 participants in a variety of university exercise classes. Exploratory factor analysis reduced items to a parsimonious 12-item scale. Confirmatory factor analysis tested the best fit between a 1-dimensional versus a 4-factor solution.Results:The Cronbach alpha was .925. The significant analysis (P < .001) suggested that the model with 4 distinct subscales has the best data fit (goodness-of-fit index = .94, standardized root-mean-square residual = .041, incremental-fit index = .98, expected-cross-validation index = .66, comparative-fit index = .98). Composite reliability and variance extracted were calculated for each construct represented by ART: being away, .81, .59; fascination, .79, .63; extent, .89, .78; and compatibility, .68, .42.Conclusion:The 12-item, 4-factor solution of the PRAS can help researchers understand the within-individual preconceptions toward the activity experience that can influence cognitive restoration.

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Critical Multicultural Education Competencies Scale: A Scale Development Study

Journal of Education and Learning ◽

10.5539/jel.v5n3p51 ◽

2016 ◽

Vol 5 (3) ◽

pp. 51

Author(s):

Yasemin Acar-Ciftci

Keyword(s):

Factor Analysis ◽

Critical Race Theory ◽

Multicultural Education ◽

Goodness Of Fit ◽

Critical Multicultural Education ◽

Confirmatory Factor ◽

Education Theory ◽

Deductive Method ◽

Coefficient Of Concordance ◽

Fit Index

<p>The purpose of this study is to develop a scale in order to identify the critical mutlicultural education competencies of teachers. For this reason, first of all, drawing on the knowledge in the literature, a new conceptual framework was created with deductive method based on critical theory, critical race theory and critical multicultural education theory, which includes dimensions of awareness, knowledge, attitude and skill. In accordance with this framework, experimental form consisting of 56 items was submitted to experts for consideration. In accordance with the responses of the experts, content validity rate of the items was identified and the items which were below. 80 level were excluded from the study. The pilot study form consisting of 45 items, was applied to teachers who work preschools, primary and secondary school and the data which was obtained from 421 teachers in total were analyzed. Through the Exploratory Factor Analysis (EFA), a structure consisting of “Awareness”, “Attitude’’, “Knowledge” and “Skill” and 42 items was reached. The relationship between sub-dimensions of the scale was examined and it was observed that the factors were positively and significantly correlated with each other. In this case, it was concluded that scale supports the theory. After the analysis, it was confirmed that the sub-dimensions were the components of a structure called critical multicultural education competency and that together they form a higher structure. It was determined that the goodness of fit index of the model is quite high. Confirmatory Factor Analysis also confirmed the results of EFA. The internal coefficient of concordance was determined as .845 for the whole scale.</p>

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The Self-Transcendence Scale

Journal of Holistic Nursing ◽

10.1177/0898010111429849 ◽

2011 ◽

Vol 30 (3) ◽

pp. 147-159 ◽

Cited By ~ 19

Author(s):

Gørill Haugan ◽

Toril Rannestad ◽

Helge Garåsen ◽

Randi Hammervold ◽

Geir Arild Espnes

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Goodness Of Fit ◽

Factor Model ◽

Well Being ◽

The Self ◽

Mean Square ◽

Confirmatory Factor ◽

Self Transcendence ◽

Fit Index

Purpose: Self-transcendence, the ability to expand personal boundaries in multiple ways, has been found to provide well-being. The purpose of this study was to examine the dimensionality of the Norwegian version of the Self-Transcendence Scale, which comprises 15 items. Background: Reed’s empirical nursing theory of self-transcendence provided the theoretical framework; self-transcendence includes an interpersonal, intrapersonal, transpersonal, and temporal dimension. Design: Cross-sectional data were obtained from a sample of 202 cognitively intact elderly patients in 44 Norwegian nursing homes. Results: Exploratory factor analysis revealed two and four internally consistent dimensions of self-transcendence, explaining 35.3% (two factors) and 50.7% (four factors) of the variance, respectively. Confirmatory factor analysis indicated that the hypothesized two- and four-factor models fitted better than the one-factor model (c x2, root mean square error of approximation, standardized root mean square residual, normed fit index, nonnormed fit index, comparative fit index, goodness-of-fit index, and adjusted goodness-of-fit index). Conclusions: The findings indicate self-transcendence as a multifactorial construct; at present, we conclude that the two-factor model might be the most accurate and reasonable measure of self-transcendence. Implications: This research generates insights in the application of the widely used Self-Transcendence Scale by investigating its psychometric properties by applying a confirmatory factor analysis. It also generates new research-questions on the associations between self-transcendence and well-being.

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Development of a questionnaire assessing nursing staff’s knowledge, attitude, and practice on the prevention of the nosocomial infection in elderly patients: testing reliability and validity†

Frontiers of Nursing ◽

10.2478/fon-2021-0016 ◽

2021 ◽

Vol 8 (2) ◽

pp. 141-151

Author(s):

Fu-Lin Cai ◽

Xiu-Feng Chen ◽

Yong-Xin Wang

Keyword(s):

Factor Analysis ◽

Nosocomial Infection ◽

Elderly Patients ◽

Goodness Of Fit ◽

Reliability And Validity ◽

Mean Square ◽

Attitude And Practice ◽

Confirmatory Factor ◽

Fit Index ◽

Knowledge Attitude And Practice

Abstract Objective To develop a questionnaire assessing nursing staff’s knowledge, attitude, and practice on the prevention of the nosocomial infection in elderly patients and test its reliability and validity. Methods After the drafted questionnaire was developed, two rounds of Delphi survey were conducted by consulting experts to improve the questionnaire. Subsequently, 700 copies of the questionnaire were distributed to nursing staff to assess its reliability and validity. Results Exploratory factor analysis (EFA) identifies 3 aspects, namely knowledge, attitude, and practice, with a total of 38 items. The Cronbach’s α coefficients of the questionnaire and each of the aspects are 0.85, 0.80, 0.886, and 0.77 (>0.7), respectively. Confirmatory factor analysis (CFA) of each of the aspects are c2/df = 3.99, 2.26, and 3.32; Goodness-of-fit index (GFI) = 0.91, 0.97, and 0.92; Root mean square error of approximation (RMSEA) = 0.06, 0.04, and 0.05; Comparative fit index (CFI) = 0.91, 0.96, and 0.90. Conclusions Through this study, it can be ascertained whether the developed questionnaire enjoys sound reliability and validity in assessing nursing staff’s knowledge, attitude, and practice on preventing the nosocomial infection in elderly patients and thus has certain application value.

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HAKI MODUL PENGOLAHAN DATA DENGAN LISREL BETI NURBAITI

10.31227/osf.io/yzdw2 ◽

2019 ◽

Author(s):

beti nurbaiti

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Latent Variable ◽

Goodness Of Fit ◽

Confirmatory Factor ◽

Fit Index

Tutorial singkat yang menjelaskan cara singkat dan praktif mempersiapkan kuesioner penelitian, mengimpor data dan mengolah dengan Lisrel, mulai dari uji validitas, reliabilitas, Confirmatory Factor Analysis hingga uji model struktural penelitian. Selain modul ini, dapat dipelajari melalui Channel Youtube untuk Tutorial Lisrel 1 hingga 7 dengan link sebagai berikut : a) Tutorial -1 Lisrel, Persiapan Kuesioner Untuk Diolah Dengan Lisrel, hingga Uji Statistik Deskriptif; Link Youtube :https://www.youtube.com/watch?v=QmdDMepmLCwb) Tutorial Lisrel -1 lanjutan, Import Data Hingga Uji Statistik Deskriptif (Output Lisrel); Link Youtube : https://www.youtube.com/watch?v=QmdDMepmLCwc) Tutorial -2 Lisrel , Convert Output Lisrel dalam MS Word; Link Youtube : https://www.youtube.com/watch?v=myWFkuWauH4d) Tutorial -3, Uji Model Pengukuran dan Kecocokan Model (Goodness Of Fit Index); Link Youtube : https://www.youtube.com/watch?v=aMEFdifPod4e) Tutorial -4, Uji Model Pengukuran dengan Kecocokan Model Perfect Fit; Link Youtube : https://www.youtube.com/watch?v=Sj2VR2VWVOAf) Tutorial -5, Penyederhanaan Model Penelitian (Latent Variable Score/LVS) Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=41IlJsr-ESkg) Tutorial- 6 Lisrel, Uji Validitas dan Reliabilitas Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=Ma1IlMWwZawh) Tutorial -7, Uji Confirmatory Factor Analysis (CFA) dan Uji Model Struktural Dengan Lisrel; Link Youtube : https://www.youtube.com/watch?v=CyQOfCooUwQ

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The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes

Journal of Sport and Exercise Psychology ◽

10.1123/jsep.2020-0031 ◽

2020 ◽

Vol 42 (5) ◽

pp. 368-385

Author(s):

Scott Rathwell ◽

Bradley W. Young ◽

Bettina Callary ◽

Derrik Motz ◽

Matt D. Hoffmann ◽

...

Keyword(s):

Factor Analysis ◽

Structural Equation Modeling ◽

Root Mean Square ◽

Structural Equation ◽

Equation Modeling ◽

Mean Square ◽

Root Mean Square Residual ◽

Confirmatory Factor ◽

Masters Athletes ◽

Fit Index

Adult sportspersons (Masters athletes, aged 35 years and older) have unique coaching preferences. No existing resources provide coaches with feedback on their craft with Masters athletes. Three studies evaluated an Adult-Oriented Coaching Survey. Study 1 vetted the face validity of 50 survey items with 12 Masters coaches. Results supported the validity of 48 items. In Study 2, 383 Masters coaches completed the survey of 50 items. Confirmatory factor analysis and exploratory structural equation modeling indicated issues with model fit. Post hoc modifications improved fit, resulting in a 22-item, five-factor model. In Study 3, 467 Masters athletes responded to these 22 items reflecting perceptions of their coaches. Confirmatory factor analysis (comparative fit index = .951, standardized root mean square residual = .036, and root mean square error of approximation = .049) and exploratory structural equation modeling (comparative fit index = .977, standardized root mean square residual = .019, and root mean square error of approximation = .041) confirmed the model. The resultant Adult-Oriented Sport Coaching Survey provides a reliable and factorially valid instrument for measuring adult-oriented coaching practices.

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A confirmatory factor analysis of the structure of schizotypy

European Journal of Personality ◽

10.1002/per.2410090404 ◽

1995 ◽

Vol 9 (4) ◽

pp. 271-281 ◽

Cited By ~ 36

Author(s):

Oliver Mason

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Exploratory Factor Analysis ◽

Goodness Of Fit ◽

Psychotic Disorders ◽

Factor Model ◽

Factor Solution ◽

Factor Analytic ◽

Confirmatory Factor ◽

Three Factor

Recent research into schizotypal traits has been concerned with the number and nature of these personality dimensions. Earlier exploratory factor analytic work using a wide variety of scales (the CSTQ) has generated a four‐factor solution but other solutions have been provided by other investigators. This study uses confirmatory factor analysis on a large sample to compare several plausible models of the relationships between scales. These models include a two‐factor model separating ‘positive’ from ‘negative’ schizotypal features, a three‐factor model including features of cognitive disorganization, and the four‐factor model generated previously by exploratory factor analysis. Results offer support for the four‐factor solution as the only structure meeting multiple criteria for goodness of fit. The relevance of Eysenck's dimensions, and the P scale in particular, to the results is discussed. Attention is drawn to the possibility that the factors describe predispositions of risk of psychotic disorders beyond that of schizophrenia.

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Psychometric properties of Bull’s Mental Skills Questionnaire in a Turkish population

Exercise and Quality of Life ◽

10.31382/eqol.211202 ◽

2021 ◽

Vol 13 (2) ◽

pp. 13-20

Author(s):

Bülent O. Miçooğullari ◽

◽

David J. Edwards ◽

Rıdvan Ekmekçi ◽

◽

...

Keyword(s):

Factor Analysis ◽

Goodness Of Fit ◽

Reliability And Validity ◽

Turkish Population ◽

Mental Skills ◽

Factor Solution ◽

Chi Square ◽

Reliability Indices ◽

Total Scale Score ◽

Fit Index

The purpose of this research was to examine the reliability and validity of Bull’s Mental Skills Questionnaire (BMSQ), measuring seven psychological skills resulting in a total scale score, within Turkey. The sample consisting of 163 males and 131 females, totaling 294 athletes, completed the 28 item BMSQ. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were undertaken. EFA results yielded a satisfactory seven-factor solution, the same as the English version. Cronbach alpha (α) reliability indices were as follows: concentration ability (0.71), anxiety and worry management (0.63), relaxation ability (0.69), imagery ability (0.73), self-confidence (0.72), motivation (0.64) and mental preparation (0.52). The BMSQ explained 62% of the total variance. Moreover, model fit indices calculated during CFA for the 28 item and 7 sub-dimensions model of BMSQ indicated an acceptable fit [Chi-Square (ꭓ²)=541.2, df=328, ꭓ²/df=1.65, Root Mean Square Error Approximation (RMSEA)=0.05, Comparative Fit Index (CFI)=0.95, Goodness of Fit Index (GFI)=0.90, Normed Fit Index (NFI)=0.89, and Non Normed Fit Index (NNFI)=0.90]. Thus, the original 7-factor solution was supported with the data collected from Turkish participants. Results demonstrated that the BMSQ is a valid and reliable instrument for the Turkish population.

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Modul Pengolahan Data Dengan Lisrel

10.31227/osf.io/e6cmz ◽

2019 ◽

Author(s):

beti nurbaiti

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Latent Variable ◽

Goodness Of Fit ◽

Confirmatory Factor ◽

Fit Index

Persiapan Kuesioner Untuk Diolah Dengan Lisrel,Import Data hingga Uji Statistik Deskriptif (Output Lisrel), Uji Model Pengukuran dan Kecocokan Model (Goodness Of Fit Index),Uji Validitas dan Reliabilitas Dengan Lisrel, Penyederhanaan Model Penelitian (Latent Variable ScoRe/LVS) dengan Lisrel, Uji Confirmatory Factor Analysis (CFA), Uji Model Struktural Dengan Lisrel (Uji Hipotesa Penelitian),

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Measuring Investment Importance Perception in Equity Shares: A Scale for Individual Investors

Drishtikon A Management Journal ◽

10.21863/drishtikon/2015.6.2.008 ◽

2015 ◽

Vol 6 (2) ◽

Author(s):

M. Rakesh Krishnan ◽

C. Ganesh

Keyword(s):

Factor Analysis ◽

Root Mean Square ◽

Goodness Of Fit ◽

Information Criterion ◽

Individual Investors ◽

Mean Square ◽

Goodness Of Fit Test ◽

Chi Square ◽

Root Mean Square Residual ◽

Fit Index

This study focused on developing a scale for measuring Investment Importance Perception in Equity shares (IIPe) of individual investors. Item generation (from equity share investors) and content validity was performed (with expert panel) to gather the initial pool of items for the scale. Exploratory Factor Analysis (EFA) was used for item reduction and for establishing the dimensions of IIPe. Further, Confirmatory Factor Analysis (CFA) was used test the measurement validity. Parameters were estimated with maximum likelihood (ML) through the use of AMOS (version 16). The assumptions for multivariate normality were checked by looking into the skewness and kurtosis value of the individual items of the scale. The chi-square goodness-of-fit test guided evaluation of model fit along with established fit indices such as goodness of fit index (GFI), comparative fit index (CFI), incremental fit index (IFI), standardized root mean square residual (SRMR), root-mean-square error of approximation (RMSEA) and Akaike Information Criterion (AIC).

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Examining and Adapting the Psychometric Properties of the Maslach Burnout Inventory-Health Services Survey (MBI-HSS) among Healthcare Professionals

Applied Sciences ◽

10.3390/app10051890 ◽

2020 ◽

Vol 10 (5) ◽

pp. 1890

Author(s):

Abbas Al Mutair ◽

Alya Al Mutairi ◽

Hiba Chagla ◽

Khalid Alawam ◽

Khulud Alsalman ◽

...

Keyword(s):

Factor Analysis ◽

Goodness Of Fit ◽

Healthcare Professionals ◽

Healthcare Providers ◽

Maslach Burnout Inventory ◽

Gulf Cooperation Council ◽

Validity And Reliability ◽

Chi Square ◽

Confirmatory Factor ◽

Fit Index

Burnout is known to negatively impact healthcare providers both physically and mentally and is assessed using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). Many versions of this tool have been developed for different parts of the world, but there is currently no valid version specifically designed for use in the Gulf Cooperation Council Region. This study aims to use data collected across six different regions in the Gulf Cooperation Council Region to assess the validity and reliability of the MBI-HSS model and develop a version of the MBI-HSS best suited for evaluating burnout levels among the healthcare providers in this region. The MBI-HSS questionnaire adapted by Maslach was distributed to 888 healthcare providers aged 32 years ± 7 years, 231 (26.1%) of whom were males and 651 (73.9%) of whom were females, between 2017 and 2018. The data collected were randomly divided into two subsamples, resulting in a sample with the data of 300 healthcare professionals for exploratory factor analysis (EFA) and 588 healthcare professionals for confirmatory factor analysis (CFA). The CFA of the original version of the MBI-HSS yielded a chi-square value of 1897 (p < 0.001), indicating the need for revision. EFA was then used to construct a new model of the MBI-HSS, and a CFA was performed on the second subsample to evaluate the model fit to the data. The EFA produced a 3-factor version that accounted for 56.3% of the total variance, with item 11 of the MBI moved to the Emotional Exhaustion (EE) subscale and item 16 loaded onto Depersonalisation (DP) instead of EE. Additionally, items 18 and 20 were omitted. The reconstructed version had a Root Mean Square Error of Approximation (RMSEA) value of 0.065 (<0.08), a goodness of fit index (GFI) value of 0.915 (>0.90) and an adjusted goodness of fit index (AGFI) value of 0.893 (>0.8). These results when compared to the CFA of the original model, which produced a GFI value of 0.79, an AGFI value of 0.74 and an RMSEA value of 0.09 (>0.08), indicate that this new version has a more satisfactory fit to the data and should be used when assessing burnout in the Gulf Cooperation Council Region.

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