Breaching ethics for the sake of a “good” interview

This essay presents a series of short stories – autoethnographic tales from the field – about my experiences as a female (qualitative) researcher studying humor in male-dominated workplaces in 2014. I conducted over thirty ethnographic interviews with professional hair stylists and barbers throughout Phoenix, Arizona and Sacramento, California to better understand the discursive processes by which humor is gendered in non-corporate organizations. While in the field, however, I encountered more than I bargained for. The study participants (male and female) openly engaged in humorous dialogue including: verbal critiques of my body/sexuality, sexual harassment, suggestive innuendos, physical touch, and outright heterosexist humor. After reflecting on my experiences, I realized how institutional resources (e.g. Institutional Review Board) and protocols function to protect research participants yet do little to ensure the safety, security, and/or comfort of researchers.     

Merging Technology and Emotions: Introduction to Affective Computing

Affective computing technologies are designed to sense and respond based on human emotions. This technology allows a computer system to process the information gathered from various sensors to assess the emotional state of an individual. The system then offers a distinct response based on what it “felt.” While this is completely unlike how most people interact with electronics today, this technology is likely to trickle into future everyday life. This column will explain what affective computing is, some of its benefits, and concerns with its adoption. It will also provide an overview of its implication in the library setting and offer selected examples of how and where it is currently being used.     

Degrees of Freedom

This article reviews several attempts to define degrees of freedom, and offers some simple explanations of how they are derived and why they are used in various contexts.     

Individual differences in achievement goals: A longitudinal study of cognitive, emotional, and achievement outcomes

Within achievement goal theory debate remains regarding the adaptiveness of certain combinations of goals. Assuming a multiple-goals perspective, we used cluster analysis to classify 1002 undergraduate students according to their mastery and performance-approach goals. Four clusters emerged, representing different goal combinations: high mastery/performance (i.e., multiple goals), dominant mastery, dominant performance, and low mastery/performance (i.e., low motivation). In a longitudinal analysis over one academic year, the clusters were compared on cognitive appraisals (expected achievement, perceived success), achievement-related emotions (enjoyment, boredom, anxiety), and objective measures of academic achievement (final grade in Introductory Psychology, GPA). The low-motivation cluster demonstrated the least adaptive profile across all outcomes. The multiple-goals, mastery, and performance clusters showed equivalent levels of achievement; however, students in the performance cluster were more psychologically and emotionally vulnerable than the multiple-goals and mastery clusters. Our discussion focuses on the immediate and potentially long-term implications of specific goal combinations for students and educators, with particular attention to understanding the cognitive and emotional vulnerabilities of students in the performance cluster which appear despite satisfactory achievement levels.     

Meta‐analysis and mega‐analysis: A simple introduction

Statistical methods are increasingly being used to integrate findings from the ever‐expanding universe of empirical research. Meta‐analysis encompasses various techniques for synthesizing summary statistics, and mega‐analysis pools raw data across studies. This paper offers an introduction to meta‐analysis and mega‐analysis that complements the study of analysis of variance (ANOVA). After a brief conceptual discussion, we provide simple numerical examples.     

The Monty Hall Matrix

A general procedure for solving the ‘Monty Hall problem’ is demonstrated using probability matrices, and an n‐dimensional extension is presented.     

The Case for Women Mentoring Women

ABSTRACT

The authors argue that there will be a critical mass of women in leadership positions in kinesiology and across higher education for substantial gender-based mentoring to take place in the 21st century. First, the current state of women in higher education leadership, trends in mentoring, and the reasons it is important for women who have aspirations to advance in their careers are examined. The authors argue that it is important to have access to gender-based guidance and support that are critical to successful leadership into the future. The authors advocate for a focused, purposeful type of mentoring supported by relational-cultural theory and narrative practice. Men will continue to be important mentors for women, but the authors argue that, at the same time, women also need to have access to the perspectives of other women who have forged the way into higher education administration.     

Oral reading fluency as a screening tool with English learners: A systematic review

Students learning to read in more than one language are a growing population in schools. Early screening and identification of reading difficulties may lead to better outcomes for all students. Oral reading fluency (ORF) is one tool shown to be both a reliable measure of reading and an accurate method to identify students at risk for poor reading outcomes. This study synthesized available validity evidence for ORF with biliterates. All included studies (n = 31) were conducted with English language learners in grades K–8. Results suggested that although ORF is correlated with reading outcomes, the accuracy of ORF to identify English learners at risk of poor reading outcomes does not meet criteria. The strength of validity evidence differed by language proficiency of participants. Finally, the quality of the reviewed studies was low in critical areas.     

Multiple perceptions of children's aggression: Differences across neighborhood,age, gender,and perceiver

We investigated how overtly aggressive behavior was differentially perceived by two types of perceivers, teachers and peers, as a function of student neighborhood, gender, and grade level. Participants (N= 765) were predominantly African American students in grades 3‐5 recruited from two urban public schools in southern California. The neighborhoods surrounding the two schools differed in levels of identified violent crime and economic levels. Teachers in the community experiencing more violence perceived student behavior to be relatively less aggressive and more similar across genders than did teachers in the less violent community. Peers in the community experiencing more violent crime perceived both boys and girls to be somewhat aggressive, whereas in the less violent community, boys were perceived as aggressive more so than were girls. In general, agreement between teacher and peer perceptions was stronger for boys than for girls. © 2001 John Wiley & Sons, Inc.     

Teaching the Alphabet: Reconciling the Past and the Present

This guest editorial focuses on a reflective journey of two early childhood professionals as student and teacher turning into classroom teacher and literacy coach. In addition, this editorial explores some of the worries the classroom teacher expressed during a reflective journey in learning ways in which to teach alphabet letter recognition that increased child outcomes.