Sequence Encoders Enable Large-Scale Lexical Modeling: Reply to Bowers and Davis (2009)

Sibley, Kello, Plaut, and Elman (2008) proposed the sequence encoder as a model that learns fixed-width distributed representations of variable-length sequences. In doing so, the sequence encoder overcomes problems that have restricted models of word reading and recognition to processing only monosyllabic words. Bowers and Davis (2009) recently claimed that the sequence encoder does not actually overcome the relevant problems, and hence it is not a useful component of large-scale word-reading models. In this reply, it is noted that the sequence encoder has facilitated the creation of large-scale word-reading models. The reasons for this success are explained and stand as counterarguments to claims made by Bowers and Davis.     

Using Point-Of-View Video Modeling and Forward Chaining to Teach a Functional Self-Help Skill to a Child with Autism

This study examined the effectiveness of point-of-view video modeling in a forward-chaining procedure to teach a 4-year-old boy with autism to serve himself an afternoon snack. Task analysis was undertaken, and the task was divided into 3 phases with 1 video produced for each phase. A changing criterion design was used to evaluate the effects of the intervention on the participant’s ability to independently prepare and serve himself Weetbix. The results indicated that the combination of point-of-view modeling and forward chaining was effective in teaching the child to serve himself a snack without any prompting. The results also indicated that although the skill was maintained at follow-up, generalization to snacks other than Weetbix and to a different setting was limited. Parents reported satisfaction both with the procedures undertaken and with the outcomes of the intervention.     

Using Detect, Practice, and Repair (DPR) to Differentiate and Individualize Math Fact Instruction in a Class-Wide Setting

A multiple baseline design was used across probe sets to evaluate the effect of detect, practice, and repair (DPR) on the math fact fluency rates of a third-grade class. DPR was applied with a large group (n = 11) selected from an intact class (n = 17) in a manner that allowed each student to work on specific problems from a specific basic fact operation (i.e., subtraction, multiplication, or division) based on a daily assessment of their instructional needs. Prior to the implementation of DPR, students were computing an average of 18.4 digits correct per minute (DCPM). After using DPR for 11 sessions, students were computing an average of 31.2 DCPM. This 12.8 DCPM increase over 36 problems required approximately 132 min (12 min per session). Discussion focuses on the need for and challenges associated with developing intervention strategies and procedures that efficiently increase student skills at the class-wide level, with an emphasis on simultaneously meeting the needs of both high and low achievers by differentiating instruction.     

Digital Animation as a Method to Disseminate Research Findings to the Community Using a Community-Based Participatory Approach

Community-based participatory research (CBPR) has garnered increasing interest over the previous two decades as researchers have tackled increasingly complex health problems. In academia, professional presentations and articles are major ways that research is disseminated. However, dissemination of research findings to the people and communities who participated in the research is many times forgotten. In addition, little scholarly literature is focused on creative dissemination of research findings to the community using CBPR methods. We seek to fill this gap in the literature by providing an exemplar of research dissemination and partnership strategies that were used to complete this project. In this paper, we present a novel approach to the dissemination of research findings to our targeted communities through digital animation. We also provide the foundational thinking and specific steps that were taken to select this specific dissemination product development and distribution strategy.     

The Power to Detect and Predict Individual Differences in Intra-Individual Variability Using the Mixed-Effects Location-Scale Model

Our goal is to provide empirical scientists with practical tools and advice with which to test hypotheses related to individual differences in intra-individual variability using the mixed-effects location-scale model. To that end, we evaluate Type I error rates and power to detect and predict individual differences in intra-individual variability using this model and provide empirically-based guidelines for building scale models that include random and/or systematically-varying fixed effects. We also provide two power simulation programs that allow researchers to conduct a priori empirical power analyses. Our results aligned with statistical power theory, in that, greater power was observed for designs with more individuals, more repeated occasions, greater proportions of variance available to be explained, and larger effect sizes. In addition, our results indicated that Type I error rates were acceptable in situations when individual differences in intra-individual variability were not initially detectable as well as when the scale-model individual-level predictor explained all initially detectable individual differences in intra-individual variability. We conclude our paper by providing study design and model building advice for those interested in using the mixed-effects location-scale model in practice.     

College Students' Responses to Suicidal Content on Social Networking Sites: An Examination Using a Simulated Facebook Newsfeed

Although Facebook has a peer‐initiated suicide prevention protocol, little is known about users' abilities to notice, recognize, and appropriately interpret suicidal content or about their willingness to intervene. In this study, 468 college students were randomly assigned to interact with a simulated Facebook newsfeed containing content reflecting various suicide risk levels. A larger proportion of those exposed to content reflecting moderate and severe suicide risk noticed, recognized, appropriately interpreted, and endorsed taking action to intervene, as compared to those exposed to content representing no or low risk. Overall, results indicate that college students are responsive to suicidal content on Facebook.     

The Effects of Leader Communication on a Worker's Intent to Stay: An Investigation Using Structural Equation Modeling

This study presents findings on the link between leader motivating language (ML) use and worker intent to stay. Structural equation modeling indicated that ML use significantly improves worker intent to stay—with a 10% increase in ML leading to an approximate 5% increase in worker intent to stay. Also, analysis showed that the full ML model better describes the data than any partial model based on a subset of the ML components, and this outcome helps advance researchers' understanding of the ML theory. Results indicate that proper leader language use can substantially improve the critical organizational outcome of worker retention. As such, this study identifies potential new paths for requisite leader communication research, training, and development.     

A Seat at the Table: Using Social Media as a Platform to Resolve Microaggressions Against Transgender Persons

Transgender, gender variant, and/or gender nonconforming persons are marginalized and pathologized in society and communities. The advent and widespread use of social media introduce an entirely new avenue of expression where cyber bullying and verbal assaults are common. Yet, social media also has the capacity to reach more people in more places, thus presenting a potentially powerful platform for advocacy. Grounded in digital critical participatory action research, the authors present a multimedia advocacy project that highlights advocacy strategies in which counselors can utilize social media to raise awareness, promote inclusion, and resolve microaggressions toward transgender persons.     

The Impact of Exercise on Hormones Is Related to Autonomic Reactivity to a Mental Task

This study examined the effects of an acute physical stressor on salivary testosterone (Tsal) and cortisol (Csal) and their relationship with the autonomic responsiveness to a mental task in fit young men (n = 30). Salivary testosterone (Tsal) and cortisol (Csal) levels were determined before and after a maximal bicycle exercise. Heart rate (HR) and skin conductance levels (SCL) were continuously recorded before, during, and after a Stroop task. Tsal and Csal levels diminished while HR and SCL increased in response to stressors in all the sample. When subjects were distributed in function of their endocrine response to the physical stressor, high Tsal responders showed higher HR reactivity than low responders, and high Csal responders showed higher SCL reactivity and lower reaction time in the Stroop task. These results show that the influence of an acute physical stressor on hormones is associated with the autonomic responses to a mental task.     

Greater Expectations: Using Hierarchical Linear Modeling to Examine Expectancy for Treatment Outcome as a Predictor of Treatment Response

A client's expectation that therapy will be beneficial has long been considered an important factor contributing to therapeutic outcomes, but recent empirical work examining this hypothesis has primarily yielded null findings. The present study examined the contribution of expectancies for treatment outcome to actual treatment outcome from the start of therapy through 12-month follow-up in a clinical sample of individuals (n = 72) treated for fear of flying with either in vivo exposure or virtual reality exposure therapy. Using a piecewise hierarchical linear model, outcome expectancy predicted treatment gains made during therapy but not during follow-up. Compared to lower levels, higher expectations for treatment outcome yielded stronger rates of symptom reduction from the beginning to the end of treatment on 2 standardized self-report questionnaires on fear of flying. The analytic approach of the current study is one potential reason that findings contrast with prior literature. The advantages of using hierarchical linear modeling to assess interindividual differences in longitudinal data are discussed.     

Misuse of Computer Software to Detect Faking on the Rorschach: A Reply to Kahn,Fox, and Rhode

Kahn, Fox, and Rhode (1988) made several errors in their article comparing human judgment versus computer scoring in detecting malingering in Rorschach protocols. The Rorschach interpretation software was designed to make hypotheses based solely on unusual findings among structural variables. It does not make diagnoses concerning psychosis nor is it designed to detect malingering. In claiming that the computer program made such diagnostic statements, Kahn and his associates were attributing to it capacities it does not have. Other problems with their study are discussed in areas of wrong application of Rorschach methodology and poor research design. Given that their study has so many flaws, their results and implications are not valid and can be misleading.     

Content and distance similarity models: a correction to Sjöberg

Corrections are made to a statement by Sjöberg (1977) concerning the compatibility of results obtained by him and by Gregson (1976).     

Effects of a Documentary Film on Public Stigma Related to Mental Illness Among Genetic Counselors

Many people, including genetic counselors, have been found to hold stigmatizing attitudes towards people with mental illnesses. We aimed to determine whether these attitudes could be changed by exposing genetic counselors and genetic counseling students to a documentary film about people with mental illness. We screened the documentary at the 2010 North American conferences for genetic counselors. Immediately before (T1), immediately after (T2), and one month after (T3) watching the documentary, participants self-rated their comfort with asking patients about mental illness, and they completed scales measuring two aspects of stigma: stereotype endorsement, and desire for social distance. A total of 87 T1 and T2 questionnaires, and 39 T3 questionnaires were returned. At T2 and T3, 34.5% and 48.7% respectively reported feeling more comfortable to ask patients about mental illness. Scores on the social distance and stereotype endorsement scales decreased significantly from T1 to T2, but returned to initial levels at T3. The findings suggest the documentary increased genetic counselors' and genetic counseling students' comfort with asking about mental illness and temporarily decreased their stigmatizing attitudes.     

Using Recruiter Assessments of Applicants’ Resume Content to Predict Applicant Mental Ability and Big Five Personality Dimensions

Information provided on applicants’ resumes provides a convenient, cost–effective means for applicant screening. We sought to determine if recruiters’ assessments of the presence of certain types of information on job applicants’ resumes was related to applicants’ general mental ability and personality traits. Forty recruiters from 35 organizations assessed the extent to which specified items were present on the resumes of job applicants. Results indicated relationships between recruiters’ judgments regarding applicants’ resume information and applicants’ cognitive ability and Big Five personality characteristics. Implications for the use of resume information in the selection process are discussed.     

Using verification feedback to correct errors made on a multiple-choice test

A key educational challenge is how to correct students' errors and misconceptions so that they do not persist. Simply labelling an answer as correct or incorrect on a short-answer test (verification feedback) does not improve performance on later tests; error correction requires receiving answer feedback. We explored the generality of this conclusion and whether the effectiveness of verification feedback depends on the type of test with which it is paired. We argue that, unlike for short-answer tests, learning whether one's multiple-choice selection is correct or incorrect should help participants narrow down the possible answers and identify specific lures as false. To test this proposition we asked participants to answer a series of general knowledge multiple-choice questions. They received no feedback, answer feedback, or verification feedback, and then took a short-answer test immediately and two days later. Verification feedback was just as effective as answer feedback for maintaining correct answers. Importantly, verification feedback allowed learners to correct more of their errors than did no feedback, although it was not as effective as answer feedback. Overall, verification feedback conveyed information to the learner, which has both practical and theoretical implications.     

Using verification feedback to correct errors made on a multiple-choice test

A key educational challenge is how to correct students’ errors and misconceptions so that they do not persist. Simply labelling an answer as correct or incorrect on a short-answer test (verification feedback) does not improve performance on later tests; error correction requires receiving answer feedback. We explored the generality of this conclusion and whether the effectiveness of verification feedback depends on the type of test with which it is paired. We argue that, unlike for short-answer tests, learning whether one's multiple-choice selection is correct or incorrect should help participants narrow down the possible answers and identify specific lures as false. To test this proposition we asked participants to answer a series of general knowledge multiple-choice questions. They received no feedback, answer feedback, or verification feedback, and then took a short-answer test immediately and two days later. Verification feedback was just as effective as answer feedback for maintaining correct answers. Importantly, verification feedback allowed learners to correct more of their errors than did no feedback, although it was not as effective as answer feedback. Overall, verification feedback conveyed information to the learner, which has both practical and theoretical implications.