Development and Validation of the Critical Consciousness Scale

2016 ◽  
Vol 49 (4) ◽  
pp. 461-483 ◽  
Author(s):  
Matthew A. Diemer ◽  
Luke J. Rapa ◽  
Catalina J. Park ◽  
Justin C. Perry
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Critical Reflection ◽  
Critical Consciousness ◽  
Model Fit ◽  
Primary Motivation ◽  
Confirmatory Factor ◽  
Critical Action ◽  
Political Conditions ◽  
Development And Validation

This article details the development and validation of a measure of critical consciousness, defined as the capacity of oppressed or marginalized people to critically analyze their social and political conditions, endorsement of societal equality, and action to change perceived inequities. In Study 1, an exploratory factor analysis (EFA) was conducted with a diverse sample of youth, resulting in three internally consistent factors: (a) Critical Reflection: Perceived Inequality, (b) Critical Reflection: Egalitarianism, and (c) Critical Action: Sociopolitical Participation. In Study 2, a confirmatory factor analysis (CFA) was completed with a new sample of youth. Strong model fit estimates in Study 2 confirmed the factor structure of Study 1 and resulted in a final 22-item measure called the “Critical Consciousness Scale” (CCS). The CCS has the potential to unite and advance the fragmented conceptualization and measurement of critical consciousness, the primary motivation for the development of the scale.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

A Comparison of Reliability Estimation Based on Confirmatory Factor Analysis and Exploratory Structural Equation Models

2021 ◽  
pp. 001316442110089
Author(s):  
Yuanshu Fu ◽  
Zhonglin Wen ◽  
Yang Wang
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Reliability Estimation ◽  
Model Fit ◽  
Equation Modeling ◽  
Factor Loadings ◽  
Reliability Estimates ◽  
Confirmatory Factor ◽  
Composite Reliability

Composite reliability, or coefficient omega, can be estimated using structural equation modeling. Composite reliability is usually estimated under the basic independent clusters model of confirmatory factor analysis (ICM-CFA). However, due to the existence of cross-loadings, the model fit of the exploratory structural equation model (ESEM) is often found to be substantially better than that of ICM-CFA. The present study first illustrated the method used to estimate composite reliability under ESEM and then compared the difference between ESEM and ICM-CFA in terms of composite reliability estimation under various indicators per factor, target factor loadings, cross-loadings, and sample sizes. The results showed no apparent difference in using ESEM or ICM-CFA for estimating composite reliability, and the rotation type did not affect the composite reliability estimates generated by ESEM. An empirical example was given as further proof of the results of the simulation studies. Based on the present study, we suggest that if the model fit of ESEM (regardless of the utilized rotation criteria) is acceptable but that of ICM-CFA is not, the composite reliability estimates based on the above two models should be similar. If the target factor loadings are relatively small, researchers should increase the number of indicators per factor or increase the sample size.

scholarly journals Development and Validation of News Addiction Scale

2021 ◽  
Vol 36 (1) ◽  
pp. 1-18
Author(s):  
Ghulam Ishaq ◽  
Saba Ghayas ◽  
Adnan Adil
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Behavioral Activation ◽  
Convincing Evidence ◽  
Model Fit ◽  
Confirmatory Factor ◽  
Principal Axis Factoring ◽  
Development And Validation ◽  
Unidimensional Structure ◽  
Purposive Sample

The current study was undertaken in order to construct a psychometrically sound measure of news addiction for Pakistani people. The research comprised of three studies. The first study dealt with the development of News Addiction Scale (NAS) for Pakistani people. The items of the scale were empirically determined for content validation and an exploratory factor analysis was undertaken on a purposive sample of 247 individuals (men = 183, women = 64; with a mean age of 40.1 years, SD = 15.2 years). Thirty items were subjected to Principal Axis Factoring and the resulting scree plot and Eigenvalues evidenced a single factor solution with 19 items, which accounted for 53.96% of the variance. In the second study, a confirmatory factor analysis was carried out on a sample of 240 participants and the results revealed an excellent model fit to the data, which validated the unidimensional structure of the scale. Study III of the present research was conducted on a purposive sample of 100 individuals and it provided a convincing evidence of convergent validity of the scale as significant positive correlation was observed between news addiction and behavioral activation and concurrent validity as individuals with more duration of exposure had significantly higher mean score on the NAS. Across the two studies, the Cronbach alpha of the scale remained ≥ .90. These pieces of evidence suggested that NAS would be a promising indigenous measure of news addiction.

scholarly journals Trisilas Local Wisdom Scale , Silih Asih, Silih Asah, Silih Asuh

2020 ◽  
Vol 5 (2) ◽  
pp. 121
Author(s):  
Nandlia Fauzia ◽  
Sri Maslihah ◽  
Diah Zaleha Wyandini
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Model Fit ◽  
Confirmatory Factor

Penelitian ini bertujuan untuk mengembangkan alat ukur nilai kearifan lokal trisilas yang berasal dari falsafah budaya suku Sunda. Responden pada penelitian ini adalah masyarakat suku Sunda sebanyak 310 orang. Jumlah butir skala nilai kearifan lokal trisilas sebelum diujikan adalah 45 butir, lalu setelah diujikan berjumlah 17 butir. Penelitian ini menggunakan analisis faktor yaitu dengan metode CFA (Confirmatory Factor Analysis) untuk dapat menganalisis validitas konstruk. CFA ini digunakan untuk menguji model faktor alat ukur nilai kearifan lokal Trisilas berdasarkan pada indeks kecocokan parameter model fit. CFA menunjukkan kecocokan model yang baik diantaranya nilai RMSEA sebesar 0.066, nilai GFI sebesar 0.904 serta nilai CFI sebesar 0.890 yang mana seluruh parameter yang digunakan peneliti untuk menganalisis faktor alat ukur nilai kearifan lokal Trisilas telah sesuai dengan kriteria minimum nilai indeks kecocokan suatu model. Kata kunci: Confirmatory Factor Analysis, masyarakat suku Sunda, nilai kearifan lokal trisilas

scholarly journals Psychometric Properties of the 25-Item Connor-Davison Resilience Scale: Preliminary Data for a Romanian Military Population

2021 ◽  
Vol 26 (1) ◽  
pp. 31-38
Author(s):  
Iulia-Clarisa Giurcă ◽  
Adriana Baban ◽  
Sebastian Pintea ◽  
Bianca Macavei
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Preliminary Data ◽  
Model Fit ◽  
Military Population ◽  
Resilience Scale ◽  
Confirmatory Factor

AbstractThe following study is aimed at investigating the construct validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC 25) on a Romanian military population. The exploratory factor analysis was conducted on 434 male military participants, aged between 24 and 50 years (M = 34.83, S.D. = 6.14) and the confirmatory factor analysis was conducted on a sample of 679 military participants, of 605 men and 74 women, aged between 18 and 59 years (M = 38.37, S.D. = 9.07). Factor analysis of the scale showed it to be a bidimensional, rather than a multidimensional instrument, as the original five-factor structure was not replicated in this military Romanian sample. Moreover, EFAs suggested that a 14-item bidimensional model should be retained and CFA confirmed that this model fit the data best.

scholarly journals Measuring adolescent attitudes towards dementia: The revalidation and refinement of the A-ADS

2020 ◽  
pp. 135910532095347
Author(s):  
Nicolas Farina ◽  
Alys W Griffiths ◽  
Laura J Hughes ◽  
Sahdia Parveen
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Concurrent Validity ◽  
Principal Component ◽  
Model Fit ◽  
Single Factor ◽  
Confirmatory Factor ◽  
Adolescent Attitudes ◽  
Good Internal Consistency

The A-ADS is one the first validated measures of attitudes of dementia in adolescents, though further validation is needed. 630 adolescents were recruited from secondary schools in England. A Principal Component Analysis was completed ( n = 230) followed by a Confirmatory Factor Analysis ( n = 400). Reducing the A-ADS into a single factor, 13-item measure (Brief A-ADS) improved the model fit of the measure (χ2 = 182.75, DF = 65, CMIN/DF = 2.81, p < 0.001, CFI = 0.90, RMSEA = 0.07). The scale demonstrated good internal consistency, good predictive and concurrent validity. Building on the validation of the A-ADS, the Brief A-ADS is suitable to capture attitudes towards dementia amongst adolescents.

Development and Validation of an Empirical Model-based Instrument to Measure Empathy-driven Organizational Cultures in Indian Schools

2020 ◽  
Vol 45 (4) ◽  
pp. 471-499
Author(s):  
Debarshi Roy
Keyword(s):  
Factor Analysis ◽  
Organizational Culture ◽  
Confirmatory Factor Analysis ◽  
Indian Schools ◽  
Indian Context ◽  
Confirmatory Factor ◽  
Reliable Instrument ◽  
Valid Instrument ◽  
Development And Validation ◽  
Core Construct

It has been widely acknowledged that empathy plays an important role in school education, but empathy as a part of school organizational culture has not been extensively studied in the Indian context. This study explores empathy as the driver for school organizational culture and strives to create a platform for school organizational designs with empathy as the core construct. The study was conducted with two main objectives: (a) to establish and validate a model of empathy-driven school organizational culture and (b) to develop a valid and reliable instrument to measure organizational empathy in Indian schools. A random sample of 441 students participated in the study. The empathy-driven model was validated through exploratory and confirmatory factor analysis. A part of the questionnaire used for the first part of the study was used for the second part as an independent instrument and validated through confirmatory factor analysis. The instrument was further validated for convergent, discriminant and concurrent validity. Thus, a model for empathy-driven school organizations was validated and a reliable and valid instrument for measuring empathy-driven cultures in schools was developed.

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