When, Where and How: The Use of Multidimensional Scaling Methods in the Study of Negotiation and Social Conflict

2005 ◽  
Vol 10 (1) ◽  
pp. 79-96 ◽  
Author(s):  
Michele Gelfand ◽  
Lili Duan ◽  
Robin Pinkley
Keyword(s):  
Factor Analysis ◽  
Multidimensional Scaling ◽  
Computer Analysis ◽  
Spatial Representation ◽  
Social Conflict ◽  
Future Research ◽  
Multivariate Techniques ◽  
Proximity Data ◽  
Scaling Methods ◽  
Negotiation Literature

AbstractMDS (multidimensional scaling) is a technique that enables researchers to uncover the spatial representation or "hidden structure" that underlies and defines behavioral data – such as negotiator or disputant perceptions and preferences. Although MDS has wide-ranging theoretical and applied appeal, it has been highly underutilized in the conflict and negotiation literature. In this paper, we seek to illustrate the promise that MDS offers in the study of conflict and negotiation. We begin with a discussion of how MDS can be differentiated from other multivariate techniques, such as factor analysis. Next we provide a brief overview of multidimensional scaling techniques – highlighting the various methods available for collecting proximity data and the computer analysis programs that can be used to analyze them. We further review the nature of the results and the ways in which they are interpreted. We conclude with some examples of the types of questions that have been addressed using MDS in the conflict and negotiation literature and a discussion about the promise this technique has for future research.

MULTIVARIATE ANALYSIS OF PERCEIVED DYSFUNCTION RATINGS OF PERSONALITY DISORDER SYMPTOMS

2004 ◽  
Vol 32 (6) ◽  
pp. 595-606
Author(s):  
David C. Watson ◽  
Andrew J. Howell
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Personality Disorder ◽  
Multidimensional Scaling ◽  
Personality Disorders ◽  
Two Dimensions ◽  
Social Impairment ◽  
Multivariate Techniques ◽  
Personal Distress ◽  
High Distress

Dysfunction in personality disorder symptoms was assessed using multivariate techniques to analyse lay judges' (N = 216) ratings of occupational impairment, social impairment, and personal distress. Factor analysis revealed that ratings of occupational impairment and social impairment loaded onto distinct factors. Personal distress ratings loaded onto two separate factors: high distress and low distress. Multidimensional scaling revealed two dimensions for overall dysfunction among personality disorders: severity of dysfunction and internalization-externalization. The dimensions were independence-dependence and severity of dysfunction for occupational impairment, interpersonal involvement and dominance-submission for social impairment, and internalization-externalization and severity for personal distress.

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

A Short Review on Structural Equation Modeling: Applications and Future Research Directions

2015 ◽  
Vol 4 (3) ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
First Generation ◽  
Analytical Techniques ◽  
Short Review ◽  
Equation Modeling ◽  
Future Research ◽  
Multivariate Techniques ◽  
Statistical Efficiency ◽  
Future Research Directions

The application of multivariate techniques is mainly to expand the researchers explanatory ability and statistical efficiency. The first generation analytical techniques share a common limitation i.e. each technique can examine only a single relationship at a time. Structural Equation Modeling, an extension of several multivariate techniques is the technique popularly used today can examine a series of dependence relationships simultaneously. The purpose of this study is to provide a short review on Structural Equation Modeling (SEM) being used in social sciences research. A comprehensive literature review of article appearing in top journals is conducted in order to identify how often SEM theory is used. Also the key SEM steps have been provided offering potential researchers with a theoretical supported systematic approach that simplify the multiple options with performing SEM.

scholarly journals Visualizing Profiles of Large Datasets of Weighted and Mixed Data

Mathematics ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 891
Author(s):  
Aurea Grané ◽  
Alpha A. Sow-Barry
Keyword(s):  
Multidimensional Scaling ◽  
Random Sample ◽  
Simulation Study ◽  
Clustering Algorithm ◽  
Computational Cost ◽  
Interpolation Formula ◽  
Large Datasets ◽  
Mixed Data ◽  
Multivariate Techniques ◽  
High Computational Cost

This work provides a procedure with which to construct and visualize profiles, i.e., groups of individuals with similar characteristics, for weighted and mixed data by combining two classical multivariate techniques, multidimensional scaling (MDS) and the k-prototypes clustering algorithm. The well-known drawback of classical MDS in large datasets is circumvented by selecting a small random sample of the dataset, whose individuals are clustered by means of an adapted version of the k-prototypes algorithm and mapped via classical MDS. Gower’s interpolation formula is used to project remaining individuals onto the previous configuration. In all the process, Gower’s distance is used to measure the proximity between individuals. The methodology is illustrated on a real dataset, obtained from the Survey of Health, Ageing and Retirement in Europe (SHARE), which was carried out in 19 countries and represents over 124 million aged individuals in Europe. The performance of the method was evaluated through a simulation study, whose results point out that the new proposal solves the high computational cost of the classical MDS with low error.

scholarly journals An evaluation of the factor structure of the Self-Assessed Wisdom Scale (SAWS) and the creation of the SAWS-15 as a short measure for personal wisdom

2021 ◽  
pp. 1-11
Author(s):  
Trilas M. Leeman ◽  
Bob G. Knight ◽  
Erich C. Fein ◽  
Sonya Winterbotham ◽  
Jeffrey Dean Webster
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Latent Variables ◽  
Emotional Regulation ◽  
Short Form ◽  
Age Groups ◽  
Total Sample ◽  
Future Research ◽  
Personal Wisdom ◽  
Age Range

ABSTRACT Objectives: Although wisdom is a desirable life span developmental goal, researchers have often lacked brief and reliable construct measures. We examined whether an abbreviated set of items could be empirically derived from the popular 40-item five-factor Self-Assessed Wisdom Scale (SAWS). Design: Survey data from 709 respondents were randomly split into two and analyzed using confirmatory factor analysis (CFA). Setting: The survey was conducted online in Australia. Participants: The total sample consisted of 709 participants (M age = 35.67 years; age range = 15–92 years) of whom 22% were male, and 78% female. Measurement: The study analyzed the 40-item SAWS. Results: Sample 1 showed the traditional five-factor structure for the 40-item SAWS did not fit the data. Exploratory factor analysis (EFA) on Sample 2 offered an alternative model based on a 15-item, five-factor solution with the latent variables Reminiscence/Reflection, Humor, Emotional Regulation, Experience, and Openness. This model, which replicates the factor structure of the original 40-item SAWS with a short form of 15 items, was then confirmed on Sample 1 using a CFA that produced acceptable fit and measurement invariance across age groups. Conclusions: We suggest the abbreviated SAWS-15 can be useful as a measure of individual differences in wisdom, and we highlight areas for future research.

scholarly journals A systematic review of the latent structure of the Center for Epidemiologic Studies Depression Scale (CES-D) amongst adolescents

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joanna M. Blodgett ◽  
Chantelle C. Lachance ◽  
Brendon Stubbs ◽  
Melissa Co ◽  
Yu-Tzu Wu ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Cultural Differences ◽  
Factor Structure ◽  
English Language ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Latent Structure ◽  
Future Research ◽  
Primary Analysis ◽  
The Usa

Abstract Background The Centre for Epidemiologic Studies Depression Scale (CES-D) is a commonly used psychometric scale of depression. A four-factor structure (depressed affect, positive affect, somatic symptoms, and interpersonal difficulties) was initially identified in an American sample aged 18 to 65. Despite emerging evidence, a latent structure has not been established in adolescents. This review aimed to investigate the factor structure of the CES-D in adolescents. Methods We searched Web of Science, PsychINFO and Scopus and included peer-reviewed, original studies assessing the factor structure of the 20-item CES-D in adolescents aged ≤18. Two independent researchers screened results and extracted data. Results Thirteen studies met the inclusion criteria and were primarily from school-based samples in the USA or Asia. Studies that conducted confirmatory factor analysis (CFA; n = 9) reported a four-factor structure consistent with the original factor structure; these studies were primarily USA-based. Conversely, studies that conducted exploratory factor analysis (EFA) reported distinct two or three factor structures (n = 4) and were primarily based in Asia. Limitations Studies in a non-English language and those that included individuals aged > 18 years were excluded. Ethnic or cultural differences as well as different analytical methods impacted generalisability of results. The use of CFA as the primary analysis may have biased towards a four-factor structure. Conclusions A four-factor CES-D structure was an appropriate fit for adolescents in Western countries; further research is required to determine the fit in in Asian countries. This has important implications for clinical use of the scale. Future research should consider how cultural differences shape the experience of depression in adolescents.

Enriching the Construct of Workplace Spirituality with Insights from Indian Philosophy and its Empirical Validation in Indian Context

2021 ◽  
pp. 227797522110161
Author(s):  
Anadi Saran Pande ◽  
Neerja Pande
Keyword(s):  
Factor Analysis ◽  
Literature Review ◽  
Indian Philosophy ◽  
Workplace Spirituality ◽  
Future Research ◽  
Empirical Validation ◽  
Indian Context

The purpose of this paper is to proffer an enrichment of the workplace spirituality (WS) construct using tenets of Indian philosophy, and to select and execute an instrument for empirical validation of the construct to assess its cross-regional universality. The literature review was undertaken and the most accepted construct and its accompanying instrument, both developed by Ashmos and Duchon, were identified. The chosen construct was then evaluated and critiqued by leveraging tenets of Samkhya, Yoga and Vedanta, the three most influential Indian philosophies. Subsequently, a survey was conducted on Indian managers working across various industries and regions in India. Factor analysis resulted in validation of cross-geographical universality of the WS construct. However, participants’ responses throw up factors with distinctively contrasting difference vis-à-vis the previous study. A plausible explanation built on the essence of Indian philosophy is attempted, and opportunities for future research are identified.

Perceiving Hierarchical Structures in Nonrepresentational Paintings

1998 ◽  
Vol 16 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Tsion Avital ◽  
Gerald C. Cupchik
Keyword(s):  
Factor Analysis ◽  
Multidimensional Scaling ◽  
Hierarchical Structure ◽  
Hierarchical Structures ◽  
Exploratory Activity ◽  
Affective Responses ◽  
Hierarchical Complexity ◽  
The Hierarchical Structure ◽  
Relative Separation ◽  
Dimension 2

A series of four experiments were conducted to examine viewer perceptions of three sets of five nonrepresentational paintings. Increased complexity was embedded in the hierarchical structure of each set by carefully selecting colors and ordering them in each successive painting according to certain rules of transformation which created hierarchies. Experiment 1 supported the hypothesis that subjects would discern the hierarchical complexity underlying the sets of paintings. In Experiment 2 viewers rated the paintings on collative (complexity, disorder) and affective (pleasing, interesting, tension, and power) scales, and a factor analysis revealed that affective ratings were tied to complexity (Factor 1) but not to disorder (Factor 2). In Experiment 3, a measure of exploratory activity (free looking time) was correlated with complexity (Factor 1) but not with disorder (Factor 2). Multidimensional scaling was used in Experiment 4 to examine perceptions of the paintings seen in pairs. Dimension 1 contrasted Soft with Hard-Edged paintings, while Dimension 2 reflected the relative separation of figure from ground in these paintings. Together these results show that untrained viewers can discern hierarchical complexity in paintings and that this quality stimulates affective responses and exploratory activity.

Development and initial validation of the Subjective Academic Wellbeing Measure: A new tool of youth wellbeing in school

2021 ◽  
Vol 6 (1) ◽  
pp. 3-11
Author(s):  
Gökmen Arslan ◽  
Murat Yıldırım ◽  
Silvia Majercakova Albertova
Keyword(s):  
Factor Analysis ◽  
Convergent Validity ◽  
Mental Health Problems ◽  
School Context ◽  
Measurement Model ◽  
Academic Functioning ◽  
Self Report ◽  
Future Research ◽  
Internal Reliability ◽  
Gender Groups

The purpose of the current study was to investigate the preliminary development and validation of the Subjective Academic Wellbeing Measure (SAWM), which is a six-item self-report rating measure intended for use as a screening tool to assess the positive academic functioning of young people within the elementary and high school context. Exploratory factor analysis was performed with Sample 1 (N= 161), indicating that the SAWM was characterized by a unidimensional measurement model and had strong factor loadings. Results from confirmatory factor analysis, which was carried out with Sample 2 (N= 199), confirmed the measurement model by yielding good data-model fit statistics that were characterized by strong latent construct and internal reliability estimates. Further analyses showed that the scale had good convergent validity considering scores from several self-reported scales of student mental health problems and positive school functioning. Further analyses also showed that configural, metric, and scalar measurement invariance were observed across gender groups. These results provide initial evidence suggesting that the SAWM is a reliable and valid measure that can be used to assess the positive academic functioning of students within the school context. Implications are discussed, and some suggestions are provided for future research and practice

Development and validation of men's sexualizing behaviors of women scale

2017 ◽  
Author(s):  
◽  
Dominique A. Malebranche
Keyword(s):  
Factor Analysis ◽  
Task Force ◽  
High Reliability ◽  
Future Research ◽  
Sexual Objectification ◽  
Adult Males ◽  
Gender Based Violence ◽  
Task Force Report ◽  
Traditional Masculinity ◽  
The Impact

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Sexualization has been posited to be a part of a larger process of socialization with negative implications (APA, 2010; Ward, 2016). Recent reviews of gender-based violence and exploitation have focused on important elements that highlight the impact of the pervasive experiences of sexual objectification and sexual commodification on women and girls, but relatively limited literature has explored domains of men's sexualizing behaviors. Using the theoretical domains outlined in the APA Task Force Report on the Sexualization of Girls (APA, 2010), the present study developed and validated a measure of men's sexualizing behaviors toward women (MSBWS) on a sample of 308 adult males (ages 18-34). Using exploratory factor analysis, results indicated three-factors that defined the MSBWS: Covert, Commodified, and Overt Sexualization. Analyses also revealed the MSBWS to have high reliability for the overall scale as well as the three subscales. Evidence for construct validity was revealed in significant correlations with all criterion variables (e.g., attitudes of sexual objectification, traditional masculinity and sexual aggression) and suggest broad implications that men's sexualizing behaviors is a measurable construct. Future research may further validate the MSBWS using confirmatory factor analysis on independent samples and examine relevant variables of the possible harm of sexualizing behaviors.

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