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Amos software for windows

Manufactured by IBM
Sourced in United States

Amos software for Windows is a statistical analysis tool developed by IBM. It is designed to perform structural equation modeling, which is a multivariate technique used to analyze the relationships between observed and latent variables. The software provides a graphical user interface for creating and modifying models, as well as tools for estimating model parameters and assessing model fit.

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3 protocols using amos software for windows

1

Statistical Analysis of Research Data

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All statistical analyses were carried out using the commercial software “Statistical Package for the Social Sciences” (IBM SPSS software for Windows, version 21.0, IBM Corp., Armonk, NY, United States; released 2012) whereas the CFA was performed by utilizing the commercial software “Analysis of a moment structures” (Amos software for Windows, version 21.0, IBM, SPSS, Chicago, United States; Arbuckle, 2012a ,b ).
For all statistical analyses, figures with p-value less than 0.05 were considered statistically significant.
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2

Multivariate Analysis of Social Sciences Research

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All statistical analyses were carried out using the commercial software “Statistical Package for the Social Sciences” (IBM SPSS software for Windows, version 21.0, IBM Corp., Armonk, NY, USA; released 2012) whereas the CFA was performed by utilizing the commercial software “Analysis of a moment structures” (Amos software for Windows, version 21.0, IBM, SPSS, Chicago, USA) (Arbuckle, 2012a ,b ).
EFA was conducted on a random-split half of the sample, whereas CFA was run on the other split half of the sample.
For all statistical analyses, figures with p-value less than 0.05 were considered statistically significant.
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3

Exploratory Factor Analysis of Instrument

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As a preliminary analysis, visual inspection was used to check for missing values and analyze the data. The Kurtosis and Skewness were used to examine the normality of the data distribution. Unweighted least squares with a direct Oblimin rotation were used for the exploratory analysis. The Kaiser–Meyer–Olkin (KMO) statistic was used to assess whether the data was suitable for factor analysis. The KMO value must be greater than 0.50 in order to accept the factorial solution.42 The chi-square value of the Bartlett sphericity test was also calculated,43 which should not be significant. The factors were retained when the eigenvalues were greater than 1, and the scree plot was examined. In addition, if an item’s factor loading was less than 0.5, it was deleted.42 ,44 (link) Confirmatory factor analyses were used to evaluate the instrument’s factor structure. The instrument’s reliability was assessed using the Cronbach’s coefficient. Differences between genders with age as Covariate were realized by analysis of Covariance ANCOVA.
Descriptive statistical analyses, exploratory factor structure and internal consistency indices were performed with SPSS for Windows, version 26 (IBM Corp), whereas confirmatory factor analysis was established with Amos software for Windows, version 23 (IBM Corp).
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