Content analysis of the Journal of Counseling Psychology: Buboltz, Miller, and Williams (1999) 11 years later

A content analysis of research published in the Journal of Counseling Psychology (JCP) was conducted for Volumes 46 (1999) through 56 (2009). The analysis involved the placement of 514 articles in 15 substantive content categories. In addition, we identified the most frequently published authors, most frequent institutional affiliations, and several reported demographic characteristics. The principal areas of research activity in the JCP were multiculturalism and/or diversity, research on development and evaluation of tests and measures, personality and adjustment, outcome research, and interpersonal and/or social support and/or attachment, with these categories accounting for 57% of the articles published. Over 40% of the samples reported were college students, with a large number of samples including both genders and indicating the ethnic breakdown. This content analysis revealed that the JCP has remained consistent with its stated mission while incorporating changes in the field in its publications.     

Attachment style and self-handicapping: the mediating role of the imposter phenomenon

Social Psychology of Education - Many students pursuing post-secondary education will experience the imposter phenomenon at some point in their academic career. The imposter phenomenon can lead to...     

Motivation under the microscope: Understanding undergraduate science students’ multiple motivations for research

Little is known about students’ motivations toward scientific research or the implications of pursuing multiple research motivations simultaneously. We conducted latent profile analysis (a person-centered statistical technique) on 1,052 undergraduate students from three universities enrolled in physics, chemistry, and biology laboratory sections. Based on a tripartite model that conceptualizes research motivations as intrinsic, extrinsic, and failure avoidant, analyses revealed five distinct research motivational profiles which were described as Unmotivated; Neutral Engagement, Ternary-Driven; Emerging Engagement; and High Engagement. Profile membership was associated with differences in science class experiences, science identity, and future research intentions. Results showed students were optimally motivated toward science when highly endorsing both intrinsic and extrinsic motivations, with low failure avoidance. These findings contribute to the literature on self-determination theory, intrinsic motivation and multiple goals, and these data create a framework for understanding undergraduate science laboratory experiences that may aid in efforts to broaden the participation of students in science.     

Performance-approach goals,science task preference,and academic procrastination: Exploring the moderating role of competence perceptions

Classic achievement goal theory states that normative (performance-approach) achievement goals exert maladaptive effects on behavior when perceptions of competence are low, thus leading individuals to choose easy or difficult tasks to avoid demonstrating lack of ability. The present research tested this prediction by examining the conditional indirect relationship between performance-approach goals and problematic procrastination among college science majors. As hypothesized, performance-approach goals were significant positive predictors of procrastination through their relationship with science anxiety only for students with (a) low science self-efficacy and (b) a preference for either low or highly difficult science tasks. These effects were not observed for high efficacy students preferring tasks of low and high difficulty. Implications for achievement goal theory and research are discussed.     

A method of estimating accuracy of test scoring

When errors of test scoring obey a Poisson frequency law (theoretical considerations suggest that they do), the method described may be used for finding the upper fiducial limits of scoring errors per paper. A criterion is suggested for establishing tolerance limits on scoring errors, and a method is given (1) for finding the probability of being wrong in the statement that the tolerance limit is being met for a given size sample or (2) for finding the size of sample that will make this probability not greater than some fixed value.