Materialism and the Five-Factor Model of Personality

1999 ◽  
Vol 85 (1) ◽  
pp. 327-330 ◽  
Author(s):  
J. Patrick Sharpe ◽  
Nerella V. Ramanaiah
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Factor Model ◽  
Function Analysis ◽  
Five Factor Model ◽  
Psychology Students ◽  
Introductory Psychology ◽  
Personality Profiles ◽  
Neo Five Factor Inventory ◽  
Course Credit

The hypothesis that High and Low Materialism groups have different personality profiles was tested with 280 introductory psychology students (135 men and 145 women) who completed the Belk Materialism Scale and the NEO Five-Factor Inventory for partial course credit. Results of discriminant function analysis supported the hypothesis, indicating that groups High and Low in Materialism had significantly different personality profiles and that the standard discriminant function coefficients were substantial (>.30): for Neuroticism −.59, Agreeableness .53, and Openness .32.

Personality Profiles of Environmentally Responsible Groups

2000 ◽  
Vol 87 (1) ◽  
pp. 176-178 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
Michael Clump ◽  
J. Patrick Sharpe
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Psychology Students ◽  
Introductory Psychology ◽  
Personality Inventory ◽  
Environmental Responsibility ◽  
Personality Profiles ◽  
Neo Personality Inventory ◽  
Environmentally Responsible

The hypothesis that groups high and low on environmental responsibility have different personality profiles was tested using responses of 319 introductory psychology students (132 men and 187 women) who completed the ECOSCALE and the Revised NEO Personality Inventory for partial course credit. Results of discriminant function analysis supported the hypothesis, indicating that groups scoring high and low on Environmental Responsibility had significantly different personality profiles and that the standard discriminant function coefficients were quite substantial (≥ .50) for Openness (.72) and Agreeableness (.50).

Structure of the Jackson Personality Inventory from the Perspective of the Five-Factor Model

1996 ◽  
Vol 79 (2) ◽  
pp. 411-416 ◽  
Author(s):  
Fred R. J. Detwiler ◽  
Nerella V. Ramanaiah
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychology Students ◽  
Introductory Psychology ◽  
Personality Inventory ◽  
Neo Five Factor Inventory ◽  
Major Factors ◽  
Course Credit

The generality and comprehensiveness of the five-factor model was tested using the Jackson Personality Inventory. The Interpersonal Adjective Scales Revised-B5 and the NEO Five-Factor Inventory scales were used as markers for the five-factor model. 220 introductory psychology students (104 men and 116 women) voluntarily completed the three inventories for partial course credit. Combined factor analysis of the 25 scales from the three inventories yielded six major factors. Five of these factors were similar to the five major factors of personality, namely, Extraversion, Neuroticism, Openness, Agreeableness, and Conscientiousness, and the sixth factor was identified as Social Adroitness. These results supported the generality but not the comprehensiveness of the five-factor model.

Cloninger's Temperament and Character Inventory and the Neo Five-Factor Inventory

2002 ◽  
Vol 90 (3_suppl) ◽  
pp. 1059-1063 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
Jennifer K. Rielage ◽  
Yuqiu Cheng
Keyword(s):  
Principal Axis ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychology Students ◽  
Personality Factors ◽  
Temperament And Character Inventory ◽  
Five Factors ◽  
Principal Axis Factor Analysis ◽  
Character Inventory ◽  
Neo Five Factor Inventory

A principal axis factor analysis was performed jointly for the seven Temperament and Character Inventory scales and the five NEO Five-Factor Inventory scales, using 95 male and 109 female introductory psychology students. The five factors obtained were similar to the five major personality factors of Neuroticism, Extra-version, Openness, Agreeableness, and Conscientiousness, and supported the comprehensiveness of the five-factor model of personality.

Type a Behavior and the Five-Factor Model of Personality

1997 ◽  
Vol 81 (2) ◽  
pp. 368-370 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
John P. Sharpe ◽  
Anupama Byravan
Keyword(s):  
Discriminant Function ◽  
Function Analysis ◽  
Five Factor Model ◽  
Type A ◽  
Personality Inventory ◽  
Personality Factors ◽  
Type B ◽  
Personality Profiles ◽  
Neo Personality Inventory ◽  
Revised Neo Personality Inventory

The hypothesis that people classified as Type A and Type B have different personality profiles based on five major personality factors (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness) was tested using the Student Jenkins Activity Survey and the Revised NEO Personality Inventory. Results based on discriminant function analysis of data from 243 psychology undergraduates (105 males and 138 females) strongly supported the hypothesis indicating that Type A and Type B groups have significantly different Revised NEO Personality Inventory profiles and that the standardized discriminant function coefficients were large for Agreeableness and Conscientiousness and moderately large for Extraversion.

Cloninger's Temperament and Character Inventory and the Neo Five-Factor Inventory

2002 ◽  
Vol 90 (3_part_2) ◽  
pp. 1059-1063 ◽  
Author(s):  
Nerella V. Ramanaiah ◽  
Jennifer K. Rielage ◽  
Yuqiu Cheng
Keyword(s):  
Principal Axis ◽  
Factor Model ◽  
Five Factor Model ◽  
Psychology Students ◽  
Personality Factors ◽  
Temperament And Character Inventory ◽  
Five Factors ◽  
Principal Axis Factor Analysis ◽  
Character Inventory ◽  
Neo Five Factor Inventory

A principal axis factor analysis was performed jointly for the seven Temperament and Character Inventory scales and the five NEO Five-Factor Inventory scales, using 95 male and 109 female introductory psychology students. The five factors obtained were similar to the five major personality factors of Neuroticism, Extra-version, Openness, Agreeableness, and Conscientiousness, and supported the comprehensiveness of the five-factor model of personality.

Diagnoses Generated by Numerical Taxonomic Methods Applied to Standard Blood Variables

1980 ◽  
Vol 19 (04) ◽  
pp. 205-209
Author(s):  
L. A. Abbott ◽  
J. B. Mitton
Keyword(s):  
Liver Cirrhosis ◽  
Renal Disease ◽  
Principal Components Analysis ◽  
Discriminant Function ◽  
Principal Components ◽  
Discriminant Function Analysis ◽  
Chronic Renal Disease ◽  
Function Analysis ◽  
Infectious Hepatitis ◽  
Components Analysis

Data taken from the blood of 262 patients diagnosed for malabsorption, elective cholecystectomy, acute cholecystitis, infectious hepatitis, liver cirrhosis, or chronic renal disease were analyzed with three numerical taxonomy (NT) methods : cluster analysis, principal components analysis, and discriminant function analysis. Principal components analysis revealed discrete clusters of patients suffering from chronic renal disease, liver cirrhosis, and infectious hepatitis, which could be displayed by NT clustering as well as by plotting, but other disease groups were poorly defined. Sharper resolution of the same disease groups was attained by discriminant function analysis.

Comparison of categorical and dimensional approaches to the diagnosis of personality disorders

2020 ◽  
pp. 15-25
Author(s):  
T. G. Gadisov ◽  
A. A. Tkachenko
Keyword(s):  
Comparative Study ◽  
Personality Disorders ◽  
Big Five ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Structure ◽  
Categorical Approach ◽  
Personal Traits ◽  
Clinical Method ◽  
Neo Five Factor Inventory

Summary. Objective: A comparative study of the personality structure from the perspective the Five-factor personality model (“Big Five”) in mentally healthy and in people with personality disorders depending on the leading radical determined by the clinical method.Materials and methods: a comparative study of personality structures in the mentally healthy (13 people) and in individuals with personality disorders (47 people) was carried out. To assess the personality structure, the NEO-Five Factor Inventory questionnaire was used. Persons with personality disorders were divided into groups in accordance with the leading radical: 24 — with emotionally unstable; 13 — with a histrionic; 6 — with schizoid; 4 — with paranoid radicals.Results: There were no differences in the values of the domains of the Five-Factor personality model between a group of individuals with personality disorders and the norm. The features of domain indicators of the Five-factor personality model were revealed in individuals with personality disorder depending on theradical.Conclusion: The NEO-Five Factor Inventory questionnaire, like most other tools from the perspective of the Five-Factor Model, is not suitable for assessing a person in terms of assigning it to variants of a mental disorder. When comparing the categorical and dimensional approaches to assessing the structure of personality disorders, it was found that the obligate personality traits identified using the categorical approach are fully reflected in the «Big Five» in individuals with a leading schizoid radical. The relations of obligate personal traits with the domains of the Five-factor model of personality in individuals with other (paranoid, histrionic,and emotionally unstable) radicals are less clear.

scholarly journals Description of Echolocation Call Parameters for Urban Bats in Vietnam as a Step Towards a More Integrated Acoustic Monitoring of Urban Wildlife in Southeast Asia

Diversity ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 18
Author(s):  
Long Kim Pham ◽  
Bang Van Tran ◽  
Quy Tan Le ◽  
Trung Thanh Nguyen ◽  
Christian C. Voigt
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Quantitative Description ◽  
Southeast Asian ◽  
Asian Countries ◽  
Echolocation Call ◽  
Echolocation Calls ◽  
Pilot Work ◽  
Southeast Asian Countries

This study is the first step towards more systematic monitoring of urban bat fauna in Vietnam and other Southeast Asian countries by collecting bat echolocation call parameters in Ho Chi Minh and Tra Vinh cities. We captured urban bats and then recorded echolocation calls after releasing in a tent. Additional bat’s echolocation calls from the free-flying bats were recorded at the site where we captured bat. We used the obtained echolocation call parameters for a discriminant function analysis to test the accuracy of classifying these species based on their echolocation call parameters. Data from this pilot work revealed a low level of diversity for the studied bat assemblages. Additionally, the discriminant function analysis successfully classified bats to four bat species with an accuracy of >87.4%. On average, species assignments were correct for all calls from Taphozous melanopogon (100% success rate), for 70% of calls from Pipistrellus javanicus, for 80.8% of calls from Myotis hasseltii and 67.3% of calls from Scotophilus kuhlii. Our study comprises the first quantitative description of echolocation call parameters for urban bats of Vietnam. The success in classifying urban bats based on their echolocation call parameters provides a promising baseline for monitoring the effect of urbanization on bat assemblages in Vietnam and potentially also other Southeast Asian countries.

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