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Unrestricted factor analysis: A powerful alternative to confirmatory factor analysis
The gold standard for modeling multiple indicator measurement data is confirmatory factor analysis (CFA), which has many statistical advantages over...
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Factor Analysis
This chapter presents an overview of factor analysis in the broad sense of the term, comprising principal components analysis as well as exploratory... -
Factor Analysis
The explorative factor analysis is a procedure of multivariate analysis which aims at identifying structures in large sets of variables. Large sets... -
Analysis of Lean Manufacturing Technology Using Confirmatory Factor Analysis
One of the systems which focused on reducing the waste in the manufacturing methods is Lean Manufacturing (LM), as it increased productivity at the... -
Factor Analysis
The explorative factor analysis is a procedure of multivariate analysis which aims at identifying structures in large sets of variables. Large sets... -
An exploratory factor analysis of entrepreneurship psychological readiness (EPR) instrument
The purpose of this study was to develop an instrument for assessing psychological readiness for entrepreneurship. A well-designed measurement of...
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Analysis of Determinants of Women Representation in Management
This chapter explores the factors impacting women in management in Mumbai. Based on the primary data, an analysis of women representation in... -
Psychometric properties and factor structure of a motivation scale for higher education students to graduate and stimulate their entrepreneurship
The purpose of this research work is to provide a measurement instrument, through the validation of a proposed scale, to determine the relevant...
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Quantitative Data Presentation and Analysis: Inferential Analysis
This chapter continues the process of quantitative data analysis by presenting the results of the inferential analysis, which includes Exploratory... -
Determining Factors in the Choice of Apartments in Portugal: A Confirmatory Factor Analysis
Buying housing is often the biggest transaction in the families’ lives. Therefore, this is an important reason to know and to study the determining... -
Confirmatory composite analysis using partial least squares: setting the record straight
Confirmatory composite analysis (CCA) is a subtype of structural equation modeling that assesses composite models. Composite models consist of a set...
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An Inquiry into Women Representation in Management A Case Study of Indian Industries
This book explores the status of women representation in management in Indian industries. Recognizing that women managers are facing barriers in...
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A four-factor model of knowledge agglomeration
This study develops a comprehensive four-factor model to analyze the factors that influence knowledge agglomeration. To test the model empirically,...
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A revised model of exploratory learning and new product development speed in the savings and loans sector: a contingency analysis
This paper investigates the impact of exploratory learning on new product development speed (NDPS). Aside from the direct relationship investigated,...
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Work Values as Projections of Personal Values at Work: Evidence from Tourism and Hospitality Students
Despite the importance of work values in students’ career development, little conceptual research has focused on articulating the dimensions... -
Feasibility Study and Multivariate Analysis of a Sustainable Housing Project
Global warming and climate change have far-reaching effects on our planet and have become the defining issues of our time. As one of the main... -
Mechanism and Collaborative Governance of Public Participation in Urban Renewal Project
Public is considered to be one of the most important participants in urban renewal projects. The mode of public decision-making has gradually changed... -
Modeling of Sustainable Supply Chain 2.0. (Framework)
The fourth chapter brings together the knowledge from the previous chapters to form the basis for building the SSC 2.0 model, including highlighting... -
Analysis of Variance
Analysis of variance is a procedure that examines the effect of one (or more) independent variable(s) on one (or more) dependent variable(s). For the...