Structure of Attitudes toward Illegal Immigration: Development of Cross-National Cumulative Scales

2004 ◽  
Vol 94 (3) ◽  
pp. 897-906 ◽  
Author(s):  
Kees Van Der Veer ◽  
Reidar Ommundsen ◽  
Knud S. Larsen ◽  
Hao Van Le ◽  
Regina E. Pernice ◽  
...  
Keyword(s):  
Illegal Immigration ◽  
Procrustes Analysis ◽  
Illegal Immigrants ◽  
Scale Analysis ◽  
Factor Solution ◽  
Mokken Scale Analysis ◽  
Regional Universities ◽  
Acceptable Reliability ◽  
Three Factor ◽  
Cross National

This research examined the possibility of developing Mokken cumulative scales measuring attitudes toward illegal immigrants in a 9-nation sample. A total of 1,407 respondents primarily from national and regional universities participated in the surveys including the 20-item Illegal Immigration Scale. The scales displayed acceptable reliability with coefficients alpha ranging from .79 to .93. A Procrustes analysis yielded coefficients of congruence with the previously established three-factor solution. The amount of variance accounted for varied between 33.1 and 54.7%, supporting the presence of other factors in attitudes toward illegal immigrants. Mokken scale analysis yielded robust and economical scales in two clusters of national samples.

Beck Hopelessness Scale (BHS)

2015 ◽  
Vol 31 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Paolo Iliceto ◽  
Emanuele Fino
Keyword(s):  
Second Order ◽  
Personality Questionnaire ◽  
Factor Analyses ◽  
Factor Solution ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Beck Hopelessness Scale ◽  
Order Factor ◽  
Model Invariance ◽  
Three Factor

The Beck Hopelessness Scale (BHS) is an instrument for assessing cognitive thoughts among suicidal persons. Previous studies have identified different factor structures of the BHS. However, results were not conclusive. The aim of this study was to test the factor structure of the BHS in a sample of Italian individuals (N = 509) from the community, and secondarily to investigate correlations between the BHS, depression (Beck Depression Inventory Second Edition), and personality traits (Zuckerman-Kuhlman-Aluja Personality Questionnaire). Following recommendations of previous investigations, we utilized a 5-point response format. We applied a second-order Confirmatory Factor Analyses and tested for the model invariance. The results suggest that besides a single second-order factor, a second-order three-factor solution is also reasonable, in line with Beck’s theorization.

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.

The Techniques for Overcoming Depression Questionnaire: Mokken Scale Analysis, Reliability, and Concurrent Validity

2016 ◽  
Vol 85 ◽  
pp. 65 ◽  
Author(s):  
K.E. Freedland ◽  
M. Lemos ◽  
F. Doyle ◽  
B.C. Steinmeyer ◽  
I. Csik ◽  
...  
Keyword(s):  
Concurrent Validity ◽  
Scale Analysis ◽  
Mokken Scale Analysis

Mokken Scale Analysis: Discussion and Application

2021 ◽  
Vol 8 (3) ◽  
pp. 672-695
Author(s):  
Thomas DeVaney
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Rating Scale ◽  
Scale Analysis ◽  
Guttman Scale ◽  
Response Theory ◽  
Data Set ◽  
Mokken Scale Analysis ◽  
Irt Models ◽  
Guttman Scaling

This article presents a discussion and illustration of Mokken scale analysis (MSA), a nonparametric form of item response theory (IRT), in relation to common IRT models such as Rasch and Guttman scaling. The procedure can be used for dichotomous and ordinal polytomous data commonly used with questionnaires. The assumptions of MSA are discussed as well as characteristics that differentiate a Mokken scale from a Guttman scale. MSA is illustrated using the mokken package with R Studio and a data set that included over 3,340 responses to a modified version of the Statistical Anxiety Rating Scale. Issues addressed in the illustration include monotonicity, scalability, and invariant ordering. The R script for the illustration is included.

Evidence for a Third Factor on the Positive and Negative Affect Schedule in a College Student Sample

2000 ◽  
Vol 90 (1) ◽  
pp. 147-152 ◽  
Author(s):  
William D. Scott Killgore
Keyword(s):  
Factor Analysis ◽  
Negative Affect ◽  
Positive And Negative Affect ◽  
Factor Solution ◽  
Student Sample ◽  
Maximum Likelihood Factor Analysis ◽  
College Student Sample ◽  
Two Factors ◽  
Affect Factor ◽  
Three Factor

The Positive and Negative Affect Schedule (PANAS) was originally developed to measure two orthogonal dimensions of affect. The present study examined the factor structure of the PANAS in a sample of 302 undergraduates. Maximum Likelihood factor analysis was used to compare two- and three-factor solutions to self-rated affect. The two-factor solution resulted in confirmation of the two factors of Positive and Negative Affect hypothesized to underlie the schedule. When, however, a three-factor solution was specified, the Positive Affect factor was retained, while the Negative Affect factor split into two lower-order factors generally consistent with the Upset and Afraid factors described by Mehrabian in 1997. These findings highlight the need for research to consider the possible influence of a third affective dimension, such as Dominance–Submissiveness on self-rated affective experience.

scholarly journals Framing Immigration and Illegal Immigration in the 2016 Presidential Campaigns: Comparing Donald Trump and Bernie Sander’s Position

2020 ◽  
Vol 7 (1) ◽  
pp. 9-22
Author(s):  
JIN YANG
Keyword(s):  
Human Rights ◽  
Illegal Immigration ◽  
News Coverage ◽  
Presidential Campaign ◽  
Illegal Immigrants ◽  
Function Approach ◽  
Immigration Reform ◽  
Donald Trump ◽  
Tv News ◽  
The U.S

This study compared the U.S. TV news coverage of Donald Trump’s and Bernie Sanders’ talking points on immigration in the 2016 presidential campaign. Utilizing six common frames on immigration in general and adopting framing’s function approach (which consists of definition, causes and solutions aspects of an issue or a topic under discussion) to illegal immigration, the study content analyzed 153 TV news transcripts. Trump's talking points highlighted the claim that immigrants were dangerous because they brought crimes to U.S., and they had to be deported and borders must be secured. Sanders’ talking points emphasized the idea of a nation of immigrants where even illegal immigrants should be entitled to basic human rights, and immigration reform constituted a better solution. The causes for illegal immigration, however, were largely marginalized in the TV news coverage. Keywords: Framing immigration, framing illegal immigration, framing’s function approach, 2016 U.S. presidential campaign, U.S. TV news coverage of election

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