scholarly journals The measurement and prediction of conspiracy beliefs

2021 ◽  
Author(s):  
◽  
Chelsea Rose

<p>A conspiracy theory or belief has typically been defined as an allegation of malevolent secrecy and plotting by a group of powerful actors, working in unison to fulfil sinister hidden goals at the expense of the general populace. Such beliefs tend to contradict common (and typically more benign) explanations for events and have the potential to reinforce or be used to ‘justify’ undesirable behaviours (e.g., discrimination, non-adherence to crucial healthcare practices, and environmental damage). However, the social psychological literature, specifically, concerning conspiracy beliefs is in its relative infancy. The overarching aim of this thesis is to provide greater coherency to future literature via a comprehensive examination of the measurement and prediction of conspiracy beliefs.  A review of the existing research illustrates that, to date, the literature has tended to take a ‘fractionated’ approach to the study of conspiracy beliefs. That is, studies have tended to focus on scenario-specific conspiracies, and isolated predictors of conspiracy belief. Demonstrating that belief in real-world conspiracies and a generalised tendency to believe in conspiracies are equivalent has theoretical implications of understanding exactly what leads to these beliefs. To address this issue Study 1 examined the development, validation, and comparison of a Specific Conspiracy Belief Scale and a Generalised Conspiracy Belief Scale. A comparison of the relationships between various psychological predictor variables and both of these conspiracy belief scales was conducted in Study 2. These studies revealed that the Generalised Conspiracy Belief Scale was equivalent in performance in terms of its relationship to various predictor variables, and reliability and validity, to previously used specific conspiracy belief measures. The advantage of using the single generalised measure is its ability to be used consistently and comparatively across a range of different conspiracy scenarios.  The review of the literature also revealed that although a number of predictor variables have been identified as being associated with conspiracy beliefs, studies have tended to only look at a relatively small subset of variables within a given study. Indeed, a critical analysis shows that the variables themselves may fall in to various (not necessarily independent) groupings or clusters: socio-political, personality, psychopathological, cognitive, and psychological control factors. Thus, the second goal of this thesis was to gain a better understanding of the relative contribution of the variety of variables that have been suggested as predicting conspiracy beliefs. A comprehensive analysis of the role played by a large number of potential predictor variables on their own and as part of domain groupings was performed within the context of a single population study. This issue formed a second aim of Study 2. The results showed that these variables can be reduced down to several common elements, which reveals there is no (as yet identified) single powerfully predictive psychological cause of conspiracy thinking. Rather, it is likely that psychopathological, socio-political, personality, and cognitive elements combine to explain individual differences in conspiracy belief.  Finally, the validity of the Generalised Conspiracy Belief Scale and the relationships between a subset of key predictor variables (identified in Study 2) and conspiracy beliefs in the context of a wider population sample was a focus of Study 3. By using a large New Zealand-wide sample, Study 3 also broadened the scope of the thesis to examine the potential contribution of key demographic variables and psychological predictor variables in the prediction of conspiracy beliefs. Combining the demographic and psychological variables together in a hierarchical multiple regression revealed that nearly a quarter of variance in conspiracy belief was explained by these factors. However, when removing the shared variance of these predictors a number of demographic and psychological variables became non-significant or weakly predictive at best – a finding which again suggests that there are common elements that predict conspiracy belief. The remaining unique predictors of conspiracy thinking suggests that one of these common elements represent a hostile, suspicious, cynical, and threat-based worldview. Finally, although demographic variables do impact conspiracy beliefs, their unique effect is very small, and their effect works indirectly by impacting psychological predictors of conspiracy thinking.  In conclusion, the current thesis has demonstrated that a single Conspiracy Belief Scale can serve as a useful and valid tool for future studies investigating conspiracy beliefs and that although individual psychological and demographic variables only weakly predict conspiracy beliefs on their own, they do cluster around potential themes which can aid in the development in a more comprehensive theoretical perspective on conspiracy.</p>

2021 ◽  
Author(s):  
◽  
Chelsea Rose

<p>A conspiracy theory or belief has typically been defined as an allegation of malevolent secrecy and plotting by a group of powerful actors, working in unison to fulfil sinister hidden goals at the expense of the general populace. Such beliefs tend to contradict common (and typically more benign) explanations for events and have the potential to reinforce or be used to ‘justify’ undesirable behaviours (e.g., discrimination, non-adherence to crucial healthcare practices, and environmental damage). However, the social psychological literature, specifically, concerning conspiracy beliefs is in its relative infancy. The overarching aim of this thesis is to provide greater coherency to future literature via a comprehensive examination of the measurement and prediction of conspiracy beliefs.  A review of the existing research illustrates that, to date, the literature has tended to take a ‘fractionated’ approach to the study of conspiracy beliefs. That is, studies have tended to focus on scenario-specific conspiracies, and isolated predictors of conspiracy belief. Demonstrating that belief in real-world conspiracies and a generalised tendency to believe in conspiracies are equivalent has theoretical implications of understanding exactly what leads to these beliefs. To address this issue Study 1 examined the development, validation, and comparison of a Specific Conspiracy Belief Scale and a Generalised Conspiracy Belief Scale. A comparison of the relationships between various psychological predictor variables and both of these conspiracy belief scales was conducted in Study 2. These studies revealed that the Generalised Conspiracy Belief Scale was equivalent in performance in terms of its relationship to various predictor variables, and reliability and validity, to previously used specific conspiracy belief measures. The advantage of using the single generalised measure is its ability to be used consistently and comparatively across a range of different conspiracy scenarios.  The review of the literature also revealed that although a number of predictor variables have been identified as being associated with conspiracy beliefs, studies have tended to only look at a relatively small subset of variables within a given study. Indeed, a critical analysis shows that the variables themselves may fall in to various (not necessarily independent) groupings or clusters: socio-political, personality, psychopathological, cognitive, and psychological control factors. Thus, the second goal of this thesis was to gain a better understanding of the relative contribution of the variety of variables that have been suggested as predicting conspiracy beliefs. A comprehensive analysis of the role played by a large number of potential predictor variables on their own and as part of domain groupings was performed within the context of a single population study. This issue formed a second aim of Study 2. The results showed that these variables can be reduced down to several common elements, which reveals there is no (as yet identified) single powerfully predictive psychological cause of conspiracy thinking. Rather, it is likely that psychopathological, socio-political, personality, and cognitive elements combine to explain individual differences in conspiracy belief.  Finally, the validity of the Generalised Conspiracy Belief Scale and the relationships between a subset of key predictor variables (identified in Study 2) and conspiracy beliefs in the context of a wider population sample was a focus of Study 3. By using a large New Zealand-wide sample, Study 3 also broadened the scope of the thesis to examine the potential contribution of key demographic variables and psychological predictor variables in the prediction of conspiracy beliefs. Combining the demographic and psychological variables together in a hierarchical multiple regression revealed that nearly a quarter of variance in conspiracy belief was explained by these factors. However, when removing the shared variance of these predictors a number of demographic and psychological variables became non-significant or weakly predictive at best – a finding which again suggests that there are common elements that predict conspiracy belief. The remaining unique predictors of conspiracy thinking suggests that one of these common elements represent a hostile, suspicious, cynical, and threat-based worldview. Finally, although demographic variables do impact conspiracy beliefs, their unique effect is very small, and their effect works indirectly by impacting psychological predictors of conspiracy thinking.  In conclusion, the current thesis has demonstrated that a single Conspiracy Belief Scale can serve as a useful and valid tool for future studies investigating conspiracy beliefs and that although individual psychological and demographic variables only weakly predict conspiracy beliefs on their own, they do cluster around potential themes which can aid in the development in a more comprehensive theoretical perspective on conspiracy.</p>


Author(s):  
Rakhshanderou Sakineh ◽  
Ghaffari Mohtasham ◽  
Ramezankhani Ali ◽  
Gholami Dastenaee Leila

AbstractIntroductionIt is important to recognize the various dimensions of puberty and planning for the education of adolescents and their parents who are on the verge of this course. The present study aimed to investigate predictors of puberty health behavior in adolescent girls.Materials & MethodsThis correlational study was carried out on 280 female students from the eighth and ninth grades of high school who were selected by multi-stage random sampling method. The data gathering tool was a researcher-made questionnaire whose validity was assessed using the face and content validity method (Panel view of the experts) and its reliability was tested by test-retest and internal consistency. The collected data were analyzed by SPSS 16 using descriptive statistics, Pearson correlation coefficient and multiple regression at a significant level less than 0.05.ResultsRegression results with stepwise analysis showed that demographic variables other than the age of students (p = 0.031) had no effect on the adoption of puberty health behaviors, but their students’ knowledge and their attitude were good predictors of behaviors Health is puberty. Among the underlying and psychological variables, was the strongest prediction (Beta = 0.48). Attitude with knowledge and age was 34.9% of variance for explaining puberty health behaviors in adolescents.ConclusionConsidering the power of predictors such as knowledge and attitude, it is possible to develop puberty health behaviors by increasing knowledge of students and providing correct and appropriate information to them and improving attitudes.


2001 ◽  
Vol 35 (5) ◽  
pp. 619-625 ◽  
Author(s):  
Megan Fulford ◽  
John Farhall

Objective: Demonstration studies of community treatment as an alternative to hospitalization have reported high degrees of satisfaction by family carers. We aimed to determine the extent of carer preference for hospital versus community treatment for acute mental illness in a routine setting where carers had experienced both service types. Method: Patients who had contact with both a hospital inpatient service and a Crisis Assessment and Treatment (CAT) team within the previous 5 years were identified. Seventy-seven family carers of these patients completed a questionnaire which identified their preference for services, and psychological and demographic variables likely to be predictive of their choice. Results: Only half the carers preferred a CAT service to treat their relative in the event of a future relapse. Psychological variables were better predictors of choice than were demographic variables. Conclusions: The proportion of caregivers who prefer community treatment for acute psychosis may be smaller than previously thought. The lower carer satisfaction found here may be associated with the short-term interventions of Victoria's CAT teams, the severity of acute relapses and the duration of the patient's mental health problem.


Author(s):  
Steven M. Smallpage

When university professors engage with conspiracy theories, the public is pushed to the limit in terms of what it will or will not tolerate. Professors that publicly hold conspiracy beliefs force the central question of political tolerance: what is the line between the intellectual inquiry that allows for communities to flourish, on the one hand, and the expression of viewpoints that undermine that community’s integrity altogether, on the other? The line is blurry, as careful skepticism underlies both the best academic work and the psychology of conspiracy thinking. Since conspiracy theorists often anger, provoke, and sometimes harass the public, we must decide as a community if we will tolerate professors who hold controversial conspiracy beliefs. Such decisions require thoughtful reflection on the similarities and differences between conspiracy thinking and its relationship to desirable traits of democratic citizens, like tolerance, independent thinking, and academic freedom.


2005 ◽  
Vol 11 (2) ◽  
pp. 84-102
Author(s):  
Richard Hilton

Eighty-four predictor variables were identified from thirty-four studies that researched return to work after workplace injury. The six most studied variables were then critically reviewed. The variables were age, sex, living arrangements, employment maintenance, delay to rehabilitation, and employment type. Based on the number of statistical findings, and on review of the articles, age, employment maintenance, and delay to rehabilitation demonstrated strong relationships with return to work. The variables of sex, living arrangements and employment type did not demonstrate such relationships. While this research brought together the current knowledge base the inability to quantitatively analyse previous results was a major limitation. It was recommended that ongoing research in this area ensures that analysis and publication of results provides information that would allow such secondary analysis in the future. It was also recommended that the current research focus on demographic variables be shifted to more prospective intervention based research.


1977 ◽  
Vol 2 (1) ◽  
pp. 5-15 ◽  
Author(s):  
Samuel D. Haskell

Some single Caucasian undergraduates of Protestant religious preference, 115 men and 105 women, were tested to find correlates of, and to compare social-psychological to demographic variables in predicting, subjects' desired family sizes. Men had a mean desired family size of 2.04 children and women, 1.91 children. Women seem more accepting of childless families than men, perhaps perceiving new attractiveness in careers. Men and women wanting small families are less religious and are from smaller families. These men are more anxious and lower in need achievement, and the women have a less traditional sex-role self-concept. Women may see larger families as confirming a traditional sex-role, while men may see them confirming an achievement-oriented, possibly traditional, male role. Demographic variables, which best predict desired family size, may represent the continued influence of subjects' family backgrounds. However, social-psychological variables may also become important desired family-size influences as women enter their early twenties.


2018 ◽  
Vol 8 (1) ◽  
pp. 73-97
Author(s):  
Asbjørn Dyrendal ◽  
Leif Kennair ◽  
James Lewis

Recent studies on conspiracy thinking has concluded that the strongest predictor of the tendency towards conspiratorial thinking is a one-dimensional construct-conspiracy mentality-that is relatively stable over time and valid across cultures. Lantian et al. (2016) found that a single, elaborate question can work as a measure of conspiracy beliefs. We assess the validity of this question for an untypical, religious group: self-identified Neopagans. We also test some recent findings on the relation between conspiracy thinking and paranormal beliefs, attitudes towards group equality, political identification, age, gender, and education. The general patterns hold up well in our investigation, but there was a clear distinction between conspiracy theories about powerful actors and those about minorities. The single-item measure was the largest predictor of the former kind of conspiracy belief followed by level of paranormal beliefs. Anti-egalitarianism and holding a right-wing political identity were the strongest predictors of conspiracy beliefs about minorities. Education was negatively related to conspiracy beliefs of all kinds.


1988 ◽  
Vol 3 (1) ◽  
pp. 17-32 ◽  
Author(s):  
Paul R. Waller ◽  
Carolyn Crow ◽  
Dolores Sands ◽  
Heather Becker

Demographic, attitudinal, and behavioral differences between health fair attenders and a community comparison group were examined along with predictions of health promoting behaviors from demographic and attitudinal variables. Differences between questionnaire responses of 155 health fair attenders and 71 grocery shoppers indicated attenders perceived themselves having better current health and greater internal control of their health, and reported more behaviors indicating health responsibility, exercise, and nutrition than the comparison group. Psychological variables — particularly perceptions of greater self-efficacy and better health status — were the best predictors of attenders' health promoting behaviors; demographic variables were less important. On the other hand, demographic variables were most predictive of comparison group health promoting behaviors with psychological variables playing a lesser role. Further studies of relationships between the variables examined here and experimental studies of the effects of health fair attendance on health knowledge and performance of health promoting behaviors are needed. Assuming health fairs are effective in educating attenders, it was concluded that health fair planners should: 1) encourage nonattenders to become attenders and attenders to be repeat attenders, 2) carefully promote and advertise health fairs, and 3) hold health fairs in locations easily accessible to large numbers of people.


2008 ◽  
Vol 102 (3) ◽  
pp. 884-886 ◽  
Author(s):  
Monika Grzesiak-Feldman ◽  
Anna Ejsmont

The study examined the relationship between paranoia and conspiracy thinking of Jews, Arabs, Germans, and Russians among 50 university student volunteers using Fenigstein and Vanable's Paranoia Scale for nonclinical populations and the Conspiracy Beliefs Scale. The scores for conspiracy stereotypes of all the nationalities were positively correlated with paranoia.


2015 ◽  
Vol 33 (3) ◽  
pp. 298-315 ◽  
Author(s):  
Ali Dehghanpour ◽  
Zeinab Rezvani

Purpose – Although perceived as a wrong act, insurance fraud is a prevalent phenomenon. The purpose of this paper is to understand the psychological factors that lead to reporting an exaggerated/false insurance claim would enable insurance companies and policy makers to devise better preventive policies. Design/methodology/approach – Utilizing data-driven clustering techniques on psychological and demographic measures from 985 insurance customers in Europe, this study outlines profiles of segments of customers as it relates to dishonesty in dealing with insurance companies. The segmentation criteria include attitude toward insurance fraud, perceived probability of punishment, basic human values and morals, religiosity, life satisfaction and demographic characteristics. Findings – Results reveal the existence of four market segments. The segments include non-conservatives (sensitive to both perception of wrong behavior and the monetary payoff for a fraudulent claim), self-protectionists (sensitive to the probability of being caught), hedonists (sensitive to the personal pleasure and monetary payoffs for insurance fraud) and socially focused individuals (sensitive to social norms regarding admitting to having committed insurance fraud). Among the demographic variables, only education and among psychological variables, universalism, hedonism, security, conformity, tradition, benevolence, moral philosophy, religiosity, perceived probability of punishment and attitude toward insurance fraud were significantly different among the four identified segments. Practical implications – Specific policies are proposed in order to prevent insurance fraud, tailored to the specific profile of each segment. Originality/value – Using a psychological perspective and a data-driven methodology, this study identifies four heterogeneous segments of unethical insurance customers with dissimilar values, attitudes toward fraud and perception of punishment probability.


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