Psychometric Properties and Norms of the Family Needs Scale

We studied 205 low-income families, using the Family Needs Scale (FNS). Factor analysis of the FNS data resulted on a 7-factor solution with high internal consistency within the various subscales. We provide normative scores based on the factor structure of the FNS. A total of 53 parents completed the FNS on two occasions with an average of four weeks between these two ratings. In general, the test-retest reliabilities were low to moderate. A total of 61 pairs of parents independently rated their families with the FNS. Again, agreement between raters was low to moderate. Several factors that may have detracted from better test-retest and interrater reliability were identified. Our data point to the need for more psychometric studies with the FNS.     

Artificial intelligence for the measurement of vocal stereotypy

Both researchers and practitioners often rely on direct observation to measure and monitor behavior. When these behaviors are too complex or numerous to be measured in vivo, relying on direct observation using human observers increases the amount of resources required to conduct research and to monitor the effects of interventions in practice. To address this issue, we conducted a proof of concept examining whether artificial intelligence could measure vocal stereotypy in individuals with autism. More specifically, we used an artificial neural network with over 1,500 minutes of audio data from 8 different individuals to train and test models to measure vocal stereotypy. Our results showed that the artificial neural network performed adequately (i.e., session-by-session correlation near or above .80 with a human observer) in measuring engagement in vocal stereotypy for 6 of 8 participants. Additional research is needed to further improve the generalizability of the approach.     

The Explorative Nature of Heideggerian Logic

Human Studies - This paper argues for a fundamental re-reading of Heideggerian philosophy, especially regarding the logical structures presented by Heidegger in the thirties and onward. The field,...     

Peat Bogs,Sperm, and Family Values: Teaching Naturalism Charitably

Introductory courses dealing with sex, gender and sexuality often assign excerpts from Thomas Aquinas as an exemplar of the naturalist view. Given that most novice students tend to side against such naturalism uncritically, they need to be exposed to a more charitable account of the biological considerations motivating a stance like Aquinas.’ With that in mind, this article presents accessible arguments aimed at restoring deliberative balance in the classroom.     

Being Happy and Seeing 'Happy' ': Emotional State Mediates Visual Word Recognition

Lexical decision and word-naming experiments were conducted to examine influences of emotions in visual word recognition. Emotional states of happiness and sadness were induced with classical music. In the first two experiments, happy and sad participants (and neutral-emotion participants in Experiment 2) made lexical decisions about letter-strings, some of which were words with meanings strongly associated with the emotions happiness, love, sadness, and anger. Emotional state of the perceiver was associated with facilitation of response to words categorically related to that emotion (i.e. happy and sad words). However, such facilitation was not observed for words that were related by valence, but not category, to the induced emotions (i.e. love and anger words). Evidence for categorical influences of emotional state in word recognition was also observed in a third experiment that employed a word-naming task. Together the results support a categorical emotions model of the influences of emotion in information processing (Niedenthal, Setterlund, & Jones, 1994). Moreover, the result of the wordnaming experiment suggests that the effects of emotion are evident at very early stages in cognitive processing.