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

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.

The Appraisal of Self-Care Agency Scale–Revised (ASAS-R): Reliability and Validity Among Older Chinese People

2016 ◽  
Vol 39 (11) ◽  
pp. 1459-1476 ◽  
Author(s):  
Lina Guo ◽  
Jaclene A. Zauszniewski ◽  
Xianfei Ding ◽  
Lin Zhang ◽  
Han Gao ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Self Care ◽  
Reliability And Validity ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Valid Instrument ◽  
Fit Index ◽  
Care Agency

The study aimed to test the reliability and validity of the Chinese version of the Appraisal of Self-Care Agency Scale–Revised (ASAS-R-CHI). A cross-sectional design was used to conduct this study, and the sample consisted of 1,219 older people, collected by a demographic questionnaire, ASAS-R-CHI and the Exercise of Self-Care Agency (ESCA) scale. The Cronbach’s alpha (α) of ASAS-R-CHI was .79, the test–retest correlation was 0.95, and the item-to-total correlations ranged from r = .41 to r = .74. Exploratory factor analysis (EFA) resulted in three factors that explained 65.31% of the total variance; all 15 items had strong factor loadings ranging from 0.54 to 0.91. Confirmatory factor analysis (CFA) indicated the three-factor solution of ASAS-R-CHI had a good fit (x2,chi-square/degree of freedom [CMIN/DF] = 2.61, goodness of fitness index [GFI] = 0.93, adjusted goodness of fit index [AGFI] = 0.92,, comparative fit index [CFI = 0.92], Tucker Lewis index [TLI] = 0.91, root mean square error of approximation [RMSEA] = 0.04, root mean residual [RMR] = 0.02, P-value for test of close fit [PCLOSE] = 0.68). ASAS-R-CHI is a short, reliable, and valid instrument for measuring self-care agency among Chinese older adults.

scholarly journals 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†

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.

scholarly journals THE DEVELOPMENT OF STUDENTS’ INTRAPERSONAL INSTRUMENT OF ELECTRICAL ENGINEERING PROGRAM VOCATIONAL SCHOOLS IN BALI

2017 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
I Gede Ratnaya ◽  
Gaguk Margono
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Electrical Engineering ◽  
P Value ◽  
Vocational High School ◽  
Content Validation ◽  
Chi Square ◽  
Engineering Program ◽  
Product Engineering ◽  
Fit Index

This research aimed to develop an instrument to measure the intrapersonal students’ of skill Electrical Engineering Program at Vocational High School in Bali by using Likert scale. This capability is important in regulating and monitoring personal’s goals during vocational education at SMK. This instrument has been tested to 110 students at Engineering Utilization of Electricity Program in the entire province of Bali. The validation of the instrument through the content validation by the experts, the validation grains measure with Momment Product engineering, and the validation of the construct done by factor analysis. Factor analysis uses the confirmation method Maximum Likelihood (ML) with the conformity or suitability obtained Chi Square amounted to 113,8 (p-value = 0,2622) and Goodness of Fit Index (GFI) by 0.92.

scholarly journals The Sports Mental Toughness Questionnaire (SMTQ): A psychometric evaluation of the Turkish version

2017 ◽  
Vol 11 (2) ◽  
pp. 90-98 ◽  
Author(s):  
Bulent Okan Miçooğulları
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Degrees Of Freedom ◽  
Reliability And Validity ◽  
Psychometric Evaluation ◽  
Mental Toughness ◽  
Chi Square ◽  
Analysis Technique ◽  
Confirmatory Factor ◽  
Fit Index

The objective of this study was to adapt the Sports Mental Toughness Questionnaire (SMTQ) for use in Turkey, and to test its reliability and validity. With a sample of 184 males (mean ± s: age 24.22 ± 3.01 years) and 153 females (mean ± s: age 21.54 ± 3.82 years) total 337 athletes (mean ± s: age 21.76 ± 4.2 years) drawn from 20 sport classifications, confirmatory factor analysis technique to evaluate the psychometric properties of the SMTQ. Athletes completed 14 item SMTQ was applied to all volunteered participants. Afterwards Confirmatory Factor Analysis was conducted by Analysis Moments of Structures 18. Comparative fit index, non-normed fit index and root mean square error of approximation were used to check if the model fit the data. Chi-square/degrees of freedom ratio was found as (χ2/df) 1.46. The other parameters were determined as RMSEA= .74, NNFI= .90, and CFI= .90. The confirmatory factor analysis results supported the three-factor structure and indicated proper models should include correlations among the three factors. Internal consistency estimates ranged from .69 to .78 and were consistent with values reported by previous studies. Based on these findings, “Sports Mental Toughness Questionnaire” was found to be a valid and reliable instrument.

scholarly journals Construct Validity of the Vietnamese Version of Maslach Burnout Inventory-General Survey

2021 ◽  
Vol 6 (1) ◽  
pp. 31
Author(s):  
Huong Thi Thu NGUYEN ◽  
Kazuyo KITAOKA ◽  
Khue Minh PHAM ◽  
Ngoc Thi Minh NGUYEN ◽  
Tran Bao NGUYEN ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Goodness Of Fit ◽  
Maslach Burnout Inventory ◽  
Cross Sectional Study ◽  
General Survey ◽  
Chi Square ◽  
Cross Sectional ◽  
Back Ground ◽  
Fit Index

Back ground and Purpose: Burnout is a state of emotional, physical, and mental exhaustion caused by excessive and prolonged stress. The purpose of this study is to validate the Vietnamese version of Maslach Burnout Inventory-General Survey (MBI-GS) for burnout measuring in Vietnam. Methods: using cross-sectional study, factorial validity of MBI-GS was tested by exploratory factor analysis then accompanied by confirmatory factor analysis. Pearson’s correlation is used to check criterion-related validity. Results: the model of three factors structure without item 8 and 9 was suggested as the best fit model with chi-square (X2 = 285.13, P < .0001), root mean square error of approximation (RMSEA = 0.07), comparative fit index (CFI = 0.92), goodness of fit index (GFI = 0.91). Conclusions: The construct validity of Vietnamese version of Maslach Burnout Inventory-General Survey is acceptable for use in future investigations regarding burnout.

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

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).

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

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.

scholarly journals Perceived Inventory of Technological Competency as Caring in Nursing (PITCCN): Psychometric Evaluation

2019 ◽  
Vol 4 (2) ◽  
pp. 1 ◽  
Author(s):  
Hirokazu Ito ◽  
Tetsuya Tanioka ◽  
Mie Miyamoto ◽  
Misao Miyagawa ◽  
Yuko Yasuhara ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Psychometric Evaluation ◽  
Equation Modeling ◽  
Index Test ◽  
Chi Square ◽  
Technological Competency ◽  
Fit Index

Background: The theory of Technological Competency as Caring in Nursing (TCCN) was developed by Locsin (2005) to guide the expression of “technological competency as caring in nursing” among practicing nurses. While the Technological Competency as Caring in Nursing Instrument (TCCNI) was developed and translated into other languages, no instrument measuring the TCCN among Japanese nurses was developed and tested. Thus, the Perceived Inventory of Technological Competency of Caring in Nursing (PITCCN) was developed and improved. Aim: The aim of this study was to validate the PITCCN using construct validity through structural equation modeling (SEM). Methods: The PITCCN is a four-factor questionnaire. The PITCCN was distributed to four hospitals (402 nurses) from selected Shikoku District in Japan. The theoretical model was tested using confirmatory factor analysis (CFA). Exploratory factor analysis and CFA via a SEM were used to justify construct validity, and Cronbach’s alpha coefficient was determined to establish reliability of constructs using SPSS and AMOS 25.0. Results: Finding shows that the chosen fit index test like Tucker Lewis Index (TLI), Goodness of Fit Index (GFI), and Normed Fit Index (NFI) are greater than 0.80 as set by the requirement. The values of the chi-square/degree of freedom (CMIN/DF), Comparative Fit Index (CFI), Incremental Fit Index (IFI), and Root Mean Square of Error Approximation (RMSEA) showed acceptable to good fit. Conclusion: GFI of the structure model was acceptable.

scholarly journals THE DEVELOPMENT OF STUDENTS’ INTRAPERSONAL INSTRUMENT OF ELECTRICAL ENGINEERING PROGRAM VOCATIONAL SCHOOLS IN BALI

2017 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
I Gede Ratnaya ◽  
Gaguk Margono
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Electrical Engineering ◽  
P Value ◽  
Vocational High School ◽  
Chi Square ◽  
Engineering Program ◽  
Product Engineering ◽  
Fit Index ◽  
Development Of Students

This research aimed to develop an instrument to measure the intrapersonal students’ of skill Electrical Engineering Program at Vocational High School in Bali by using Likert scale. This capability is important in regulating and monitoring personal’s goals during vocational education at SMK. This instrument has been tested to 110 students at Engineering Utilization of Electricity Program in the entire province of Bali. The validation of the instrument through the content validation by the experts, the validation grains measure with Momment Product engineering, and the validation of the construct done by factor analysis. Factor analysis uses the confirmation method Maximum Likelihood (ML) with the conformity or suitability obtained Chi Square amounted to 113,8 (p-value = 0,2622) and Goodness of Fit Index (GFI) by 0.92.

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

2008 ◽  
Vol 5 (1) ◽  
pp. 184-195 ◽  
Author(s):  
J.C. Norling ◽  
Jim Sibthorp ◽  
Edward Ruddell
Keyword(s):  
Factor Analysis ◽  
Goodness Of Fit ◽  
Factor Solution ◽  
Type Method ◽  
Attention Restoration ◽  
Root Mean Square Residual ◽  
Confirmatory Factor ◽  
Fit Index ◽  
Development And Validation ◽  
Exercise Classes

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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