The Model Size Effect in SEM: Inflated Goodness-of-Fit Statistics Are Due to the Size of the Covariance Matrix
In: Structural equation modeling: a multidisciplinary journal, Volume 19, Issue 1, p. 86-98
ISSN: 1532-8007
9 results
Sort by:
In: Structural equation modeling: a multidisciplinary journal, Volume 19, Issue 1, p. 86-98
ISSN: 1532-8007
In: Structural equation modeling: a multidisciplinary journal, Volume 23, Issue 1, p. 54-60
ISSN: 1532-8007
In: International journal of public opinion research, Volume 24, Issue 4, p. 508-523
ISSN: 1471-6909
The randomized-response technique (RRT) protects the privacy of respondents by adding random noise to their responses, such that there is no direct link between an individual's response and her true status. Although the RRT has repeatedly been shown to outperform direct questioning, it has rarely been used in survey research. First, it is difficult to survey multiple issues simultaneously. Second, traditional RRT models do not take the problem of nonadherence to the instructions into account. We describe a modification of the RRT that is capable of surveying multiple attributes using just a single randomization process and controls for nonadherence. An empirical application demonstrates the superiority of this approach over both, direct questioning and the forced-response variant of the RRT. Adapted from the source document.
In: Structural equation modeling: a multidisciplinary journal, Volume 29, Issue 5, p. 772-783
ISSN: 1532-8007
In: Structural equation modeling: a multidisciplinary journal, Volume 30, Issue 3, p. 349-363
ISSN: 1532-8007
In: Structural equation modeling: a multidisciplinary journal, Volume 28, Issue 6, p. 851-858
ISSN: 1532-8007
Potential effects of demographics, personality, and ideological attitudes on the number of news sources consumed should be investigated. The number of news sources consumed, in turn, was seen as inverse proxy for the susceptibility to be caught in "filter bubbles" and/or "echo chambers" (online), which are hotly discussed topics also in politics. A sample of 1,681 (n ¼ 557 males) participants provided data on demographics, the Big Five as well asRight-Wing Authoritarianism (RWA) alongside the number of different news sources consumed and current voting preferences. Results showed that age (positively), gender (higher in males), Openness (positively), and RWA (negatively) predicted the number of different news sources consumed. The group of participants consuming news exclusively offline showed highest scores in Conscientiousness and lowest scores in Neuroticism compared to the "news feeds only" and the "news feeds and online" groups. However, less than 5% of the participants exclusively consumed news via news feeds of social networking sites. Participants who stated that they would not vote reported the lowest number of different news sources consumed. These findings reveal first insights into predisposing factors for the susceptibility to be caught in "filter bubbles" and/or "echo chamber" online and how this might be associated with voting preferences.
BASE
Potential effects of demographics, personality, and ideological attitudes on the number of news sources consumed should be investigated. The number of news sources consumed, in turn, was seen as inverse proxy for the susceptibility to be caught in "filter bubbles" and/or "echo chambers" (online), which are hotly discussed topics also in politics. A sample of 1,681 (n = 557 males) participants provided data on demographics, the Big Five as well as Right-Wing Authoritarianism (RWA) alongside the number of different news sources consumed and current voting preferences. Results showed that age (positively), gender (higher in males), Openness (positively), and RWA (negatively) predicted the number of different news sources consumed. The group of participants consuming news exclusively offline showed highest scores in Conscientiousness and lowest scores in Neuroticism compared to the "news feeds only" and the "news feeds and online" groups. However, less than 5% of the participants exclusively consumed news via news feeds of social networking sites. Participants who stated that they would not vote reported the lowest number of different news sources consumed. These findings reveal first insights into predisposing factors for the susceptibility to be caught in "filter bubbles" and/or "echo chamber" online and how this might be associated with voting preferences.
BASE
In: European psychologist, Volume 26, Issue 4, p. 348-358
ISSN: 1878-531X
Abstract. The Coronavirus Disease 2019 (COVID-19) has strongly affected individuals and societies worldwide. In this review and meta-analysis, we investigated how aversive personality traits – that is, relatively stable antisocial personality characteristics – related to how individuals perceived, evaluated, and responded to the COVID-19 pandemic. Across 34 studies with overall 26,780 participants, we found that people with higher scores in aversive personality traits were less likely to perceive guidelines and restrictions to curb the spread of the virus as protective ([Formula: see text] = −.11), to engage in health behaviors related to COVID-19 ([Formula: see text] = −.16), and to engage in non-health-related prosocial behavior related to COVID-19 ([Formula: see text] = −.14). We found no consistent relation between aversive personality and negative effect regarding the pandemic. The results thus indicate the importance of aversive personality traits in understanding individual differences with regard to COVID-19.