Survey data are usually of mixed type (quantitative, multistate categorical, and/or binary variables). Multidimensional scaling (MDS) is one of the most extended methodologies to visualize the profile structure of the data. Since the past 60s, MDS methods have been introduced in the literature, initially in publications in the psychometrics area.…

Purpose: This study explored the effect of whole-body vibration (WBV) using accelerations of 2.56 "g" to 7.68 "g" on lower-body detraining. Methods: All participants (N = 20) were trained using a lower-body resistance-training program for 30 min twice per week from Week 0 to Week 6. At the end of the program, they were randomly…

The purpose of this paper is to propose an alternative model to conventional higher education institution (HEI) rankings that can better communicate meaningful differentiation to prospective students. A five-step approach is followed to form clusters and classify HEIs. Cluster analysis is performed on two separate datasets containing (1) public…

Listening is an integral part of communication, yet more research is conducted on the speaker as opposed to the listener. Previous research established a general schema of listening as a concept-driven behavior with four factors (Imhof & Janusik, 2006). Further testing by Bodie (2010) confirmed the factor structure and reduced the number of…

In its standard formulation, sequence analysis aims at finding typical patterns in a set of life courses represented as sequences. Recently, some proposals have been introduced to jointly analyze sequences defined on different domains (e.g., work career, partnership, and parental histories). We introduce measures to evaluate whether a set of…

There is renewed interest in person-centered approaches to understanding the structure of temperament. However, questions concerning temperament types are not frequently framed in a developmental context, especially during infancy. In addition, the most common person-centered techniques, cluster analysis (CA) and latent profile analysis (LPA),…

Principal component analysis is an important statistical technique for dimension reduction and exploratory data analysis. However, it is not robust to outliers and may obfuscate important data structure such as clustering. We propose a version of principal component analysis based on the robust L2E method. The technique seeks to find the principal…

The objective of this study was to test the effect of far-field industrial (i.e., man-made) versus biological analogies on creativity of business professionals from two organizations engaged in the idea generation phase of new product development. Psychological effects, as reflected in language use, were measured via computerized text analysis of…

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…

This study aims to investigate the differences of attributional responses to students with and without learning disabilities (LD) between pre- and in-service teachers in mainland China. A total of 204 teachers (101 pre-service and 103 in-service teachers) were surveyed using vignettes and Likert scale questions to ascertain their responses to…

Background: Verbal fluency tasks are included in a broad range of aphasia assessments. It is well documented that people with aphasia (PWA) produce fewer items in these tasks. Successful performance on verbal fluency relies on the integrity of both linguistic and executive control abilities. It remains unclear if limited output in aphasia is…

A testing-based learning strategy is one that relies on the act of recalling (i.e., testing) information after exposure, and interleaving is a strategy in which the learning materials are presented in a serial order (e.g., "texts 1, 2, 3, 1, 2, 3, 1, 2, 3") versus a blocked order (e.g., "texts 1, 1, 1, 2, 2, 2, 3, 3, 3").…

One of the most common questions asked within school psychology research concerns the relationship between an intervention (independent variable) and an outcome (dependent variable). For example, say a researcher is interested in the effect of a cognitive-behavioral intervention (independent variable) on student depression (dependent variable).…

The research was designed to examine the effects of question setting using different conditions into 10 sets on the validity of structural equation modeling for factors affecting job morale. The data was collected from 690 personnel working in regional Statistical Offices around Thailand by using cluster random sampling. The tool used in…

Media consumption can influence viewer perceptions and attitudes. Recent research on media's effect on college students has failed to address gender differences. Using Mere Repeated Exposure Theory (traditionally used in marketing research), this study aims to answer three research questions regarding college media consumption and college…