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AbstractReplicability has become a highly discussed topic in psychological research. The debates focus mainly on significance testing and confirmatory analyses, whereas exploratory analyses such as exploratory factor analysis are more or less ignored, although hardly any analysis has a comparable impact on entire research areas. Determining the correct number of factors for this analysis is probably the most crucial, yet ambiguous decision—especially since factor structures have often been not replicable. Hence, an approach based on bootstrapping the factor retention process is proposed to evaluate the robustness of factor retention criteria against sampling error and to predict whether a particular factor solution may be replicable. We used three samples of the "Big Five Structure Inventory" and four samples of the "10 Item Big Five Inventory" to illustrate the relationship between stable factor solutions across bootstrap samples and their replicability. In addition, we compared four factor retention criteria and an information criterion in terms of their stability on the one hand and their replicability on the other. Based on this study, we want to encourage researchers to make use of bootstrapping to assess the stability of the factor retention criteria they use and to compare these criteria with regard to this stability as a proxy for possible replicability.

As the field of youth development grows, evaluation of program outcomes has become more embedded in the program process. It is incumbent on youth development professionals to understand more clearly the process of instrument development. One phase of the process involves taking a closer look at the data to determine if an instrument measures one overall construct or if items cluster together to reveal underlying constructs. Exploratory factor analysis is a technique used to determine the underlying constructs, or subgroups, of an instrument. While professionals may use a variety of decision-making steps, researchers have identified some commonly agreed upon considerations when conducting an exploratory factor analysis. This article seeks to make the decision-making steps of this process more transparent while also offering guidance to youth development professionals who may be seeking to use this procedure for the first time.

Social empathy, the ability to understand people from different socioeconomic classes and racial/ethnic backgrounds, with insight into the context of institutionalized inequalities and disparities, can inspire positive societal change and promote social well-being. The value of teaching social empathy and creating interventions that promote social empathy is enhanced by the ability to measure and assess it. This article provides a validation of the Social Empathy Index, a tool that practitioners can easily use to assess individuals' levels of interpersonal and social empathy. An exploratory factor analysis was used to validate the instrument and confirm the conceptual model for social empathy.

Construction sector productivity is substantial significance for the government and policymakers because it creates a competitive industry environment as well as determines a nation's expectancy. Addressing the factors influencing productivity especially in Green Construction Project (GCP) is essential and its significantly need to align with the target goal in Malaysia Green Technology Master Plan (2017–2030). In lieu to the scenario, this research aims to identify the important factors affecting the productivity of GCP, by evaluating the criticality factors that may contribute to project productivity. Based on the previous studies, five (5) key component factors were identified with a total of forty-four (44) associated items. The key component factors can be broadly categorized into i) Project, ii) Manpower, iii) Management, iv) Technical and v) External aspect. These factors with their associated items, are then used to develop questionnaire survey to gather data. The Exploratory Factor Analysis (EFA) was employed to the collected data which emphasize to the five (5) component factors with forty-four (44) items affecting green construction productivity with the total variance percentage is 72.113%. Each of the components consists of at least seven (7) variables, so the components complied with the requirement that each component must have at least three variables. According to the findings, the KOM (Kaiser-Meyer-Olkin Measure of Sampling Adequacy) is 9, which is very similar to 1. Each factor loading variable is greater than 0.4 indicating that all components satisfied the Factor Analysis rule. The highest Eigenvalue is on Project Factors (18.175), and the lowest is External Factors (1.154). It is important to understand all key factors affecting the construction productivity, so that the industry practitioners can effectively strategies a plan to improve the productivity in GCP, for prompt delivery of construction projects with lower cost, higher quality and remarking sustainability.

Leak and Fish (1999) provided initial evidence for the validity of the Religious Maturity Scale – Version 2 (RM-2). The scale was developed to assess six areas of religious maturity specified by Allport (1950). Consequently, information concerning the number and nature of factors
underlying responses to the scale is important. The analysis revealed four factors corresponding to the dynamic, differentiated, comprehensive, and heuristic aspects of religious maturity. The results have implications for the future development of specific subscales as well as for the value
of Allport's theory of religious maturity.