Sherman A. Lee, Chelsea A. Reid, Stephen D. Short, Jeffrey A. Gibbons, Ruth Yeh, and Matthew L. Campbell — Fear of Muslims: Psychometric Evaluation of the Islamophobia Scale
64 published claims from this book.
- A measure can pass two validity tests yet fail the rest
- A measure proves its worth only by predicting outcomes beyond existing measures
- A new scale can outperform established measures on multitrait-multimethod criteria
- A single self-report item can reliably measure global self-esteem.
- Affective-behavioral Islamophobia predicts unique variance in victim sympathy.
- American elites projected Orientalist stereotypes onto all Muslim-looking people regardless of actual ethnicity
- Avoidance of Muslims weakens sympathy for individual Muslim victims.
- Chi-square alone poorly indicates model fit because sample size distorts it
- Confirmatory factor analysis on a new sample validates scales better than exploratory analysis alone
- Contact opportunity with Muslims determines whether avoidance behaviors show up in data.
- Contemporary racism often operates indirectly rather than through overt bigotry.
- Controlled film stimuli elicit measurable state sympathy toward a specific target
- Convergent validity is shown when informant and self reports correlate within a subscale
- Convergent validity requires same-trait correlations across methods to exceed other correlations
- Emotional stability predicts anti-Muslim affect but not cognitive prejudice.
- Empathy raises and racism lowers sympathy for a Muslim terror victim.
- Existing prejudice measures lack the specificity needed to capture Islamophobia
- Fear comprises distinct cognitive and reactive processes, which psychometric scales can separate
- Fear comprises related but distinct processes, not one undifferentiated response
- Fear of Muslims splits into a cognitive threat-appraisal factor and a separate affective factor
- Fear suppresses sympathy because the two emotions drive opposite behavioral tendencies
- Fear-based attitudes track individual differences in sensitivity to negative emotion
- Fears target specific objects, so unrelated phobias need not correlate with each other
- Film media is a primary driver of American fear of Muslims
- Homogeneous campus settings hide avoidance behavior while exposing stated beliefs
- Informant reports confirm participants’ fear-based beliefs about Muslims
- Informant reports lose validity when the trait being rated is hard to observe
- Islamophobia and Arab American prejudice are distinct constructs despite strong correlation
- Islamophobia can be measured as fear-related attitudes on a validated scale
- Islamophobia correlates positively with religiosity and negatively with openness
- Islamophobia has separable affective and cognitive dimensions that scales can measure distinctly.
- Islamophobia is a multidimensional construct distinct from other prejudices and ideologies.
- Islamophobia measures split into two distinct dimensions, not one general construct.
- Islamophobia splits into two correlated factors, not one general prejudice
- Islamophobia’s separate facets behave differently, so researchers need multidimensional measures of it
- Measuring fear specifically captures anti-Muslim prejudice better than general prejudice scales do
- Muslim population growth is projected to intensify anti-Muslim hostility in the United States
- Native-informant accounts scale Islam into the single cause of all Muslim violence
- New psychological instruments must be tested for incremental validity beyond established measures
- Non-normal data require robust maximum likelihood estimation to avoid biased model fit
- Outgroup religious difference plus perceived value threat predicts fundamentalist prejudice
- People feel sympathy mainly for those they already like and care about
- People with low self-esteem report more fear of Muslims and Islam.
- Personality traits can be measured through informant reports rather than self-reports alone
- Prejudice correlates with religion and race only on some measures of Islamophobia
- Race does not reliably predict Islamophobia in this sample.
- Racism and perceived religious threat predict higher Islamophobia.
- Rare Muslim violence drives broad perception of Islam as violent
- Religious fundamentalism is defined by exclusive truth claims plus inflexibility
- Religious fundamentalism is measurable as belief that one’s own religion holds inerrant truth.
- Right-wing authoritarianism robustly predicts prejudice, including anti-Muslim attitudes
- Scale items are modified only when theory justifies it, not for fit alone.
- Scale items sharing a distinct thematic content inflate shared variance
- Self-esteem does not conceptually relate to out-group prejudice such as Islamophobia
- Self-reported avoidance behavior should be validated against observational measures.
- Shortening informant surveys and routing them through participants raises informant response rates.
- Single-sample reliability evidence cannot establish a scale’s trustworthiness
- Skewed informant-report scales can be corrected with a log transform
- Subscales of one construct correlate most strongly with each other
- Sympathy and prejudice vary systematically with trait sympathy, mood, gender, and ethnicity
- The Islamophobia Cognitive scale outperforms older measures on validity
- The Islamophobia Scale shows very good internal consistency coefficients
- Trait forgiveness correlates with positive emotions and reduced fear and hostility
- Valid emotion-induction clips must be short, single-topic, and shown only once.