Curriculum-Based Measurement

Abstract

Curriculum-based measurement (CBM) has evolved as a reliable and valid method for measuring and monitoring student performance in basic academic skills. While the efficacy of CBM for assessing reading skills is not in question, issues remain regarding whether or not a difference exists between CBM probes derived directly from the instructional curriculum and generic probes. The current study extends previous research comparing the utility of two types of CBM reading probe materials. Both types of probes were administered to 13 second grade students twice weekly for 5 weeks. No significant differences were found between the two probe types' measurement of performance or progress over time, which suggests that school psychologists and educational professionals can use generic or curriculum-dependent probes in curriculum-based measurement.     

Influence of response time frame on mood assessment

Abstract

Dental anxiety and the related avoidance of dental treatment can result in severe impairment of health. We investigated the influence on avoidance behavior of phobic severity, gender, characteristics related to generalized anxiety and depression, such as dysfunctional cognitions and sensitivity of bodily symptoms, as well as personality traits of self-efficacy and locus of control. Forty-eight dental phobics were given an initial assessment and avoidance behavior was determined by the degree of observance of three subsequent dental appointments. Principal component analysis revealed separate factors for trait and phobic anxiety as well as for avoidance and dysfunctional cognitions. Women showed a higher degree of avoidance than men. Regression analysis revealed a high desire for control over dental treatment combined with a low level of perceived control as the only significant predictor variable of avoidance. The results suggest that avoidance behavior in dental phobia could be reduced by extending patients’ control over treatment conditions.     

A multi-dimensional measure of worry: Development and preliminary validation of the anxious thoughts inventory

This paper reports the development of a dispositional self-report measure of multiple dimensions of generalised worry. Factor analyses demonstrated a replicable three factor structure indicating that this measure of worry comprises three basic dimensions: social worry, health worry, and meta-worry. The first two factors reflect different content dimensions whereas the meta-worry factor consists of both content and process dimensions of worry. Individual differences in subscale scores show moderate stability over time, and the subscales possess good psychometric properties. Significant correlations were found between worry subscales and personality dimensions of self-consciousness and EPI scores. The role of multi-dimensional measurement in the exploration of worry is discussed.     

Humility: Review of measurement strategies and conceptualization as personality judgment

Humility is an understudied virtue in positive psychology. Both conceptual and methodological challenges have retarded its study. In this article, we discuss how humility has been defined. Specifically, researchers disagree whether humility refers to the accuracy of an individual's view of self, or whether humility primarily describes someone's interpersonal stance toward others. We critique four approaches that researchers have used to measure humility: self-reports, implicit measures, social comparisons of self to others, and informant ratings of humility. We then theoretically elaborate on the later method, which has been mostly overlooked. Accordingly, we present a model of relational humility. We define humility as a relationship-specific personality judgment, and we describe the relationship factors that affect how humility is perceived [Funder, D.C. (1995 Funder, DC. 1995. On the accuracy of personality judgment: A realistic approach. Psychological Review, 102: 652–670. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]). On the accuracy of personality judgment: A realistic approach. Psychological Review, 102, 652–670.]. Finally, we provide next steps for researchers using a relational approach.     

A Latent Variable Framework for Power Estimation Within Intervention Contexts

This paper presents a latent growth SEM approach for the estimation of treatment effects, and power to detect such effects, within a true experimental design setting in which subjects are randomly assigned to treatment and control conditions. Power estimation is a critical component of intervention experiment design and the testing of their results. Although researchers have become increasingly sophisticated in applying tests for statistical significance in intervention contexts, few are aware of the power of these tests. The issues raised in this paper are not new; however, reminding researchers to consider these points is important. Exactly how the researcher handles these issues will depend on the questions asked and the resources available, as well as other considerations. Discussion underscores the relationship between the reliability of a study's measures and concomitant increases in power obtained within the SEM framework.     

Finding Empathy: How Neuroscientific Measures,Evidence and Conceptualizations Interact

ABSTRACT

Questions about how empathy should be conceptualized have long been a preoccupation of the field of empathy research. There are numerous definitions of empathy that have been proposed and that often overlap with other concepts such as sympathy and compassion. This makes communication between research groups or across disciplines difficult. Many researchers seem to see the diversity of definitions as a problem rather than a form of benign pluralism. Within this debate about conceptualization, researchers sometimes suggest that more neuroscientific evidence will make the problem go away – that uncovering the processes underlying empathy will thereby also sort out conceptual difficulties. In this paper, I challenge this assumption by examining how neuroscientists studying empathy use concepts in practice – both in the development of their measures and in the interpretation of their data. I argue that this neuroscientific literature demonstrates that continuity and stability comes from the use of certain established measures, while progress comes from expansion upon those measures and the flexibility of stated concepts. We do not ‘find’ empathy through increased neuroscientific evidence but we do get closer to understanding empathic processes, flexibly understood.     

Reliability and validity of measures of anger/hostility in singapore: Cook & Medley Ho Scale, STAXI and Buss-Durkee hostility inventory

As part of a larger research programme concerned with the role of anger/hostility in heart disease in Singapore, three commonly used measures of anger/hostility (Cook & Medley Ho Scale, STAXI, Buss-Durkee Hostility Inventory) were examined for reliability and validity in an Asian population. A total of 968 Singaporean Chinese, Malay and Indian respondents completed one or more of these measures together with measures of symptom and illness experience. In addition, blood pressure and heart rate measures were taken for 201 respondents. Overall, the Ho and STAXI measures had reasonably high internal consistency and test-retest reliability. Internal consistency and test-retest reliability for the Buss Durkee measure were high for the total score but variable for the component scales. Correlation and regression showed that the Ho and STAXI appeared to be tapping a common core of variance, which can be characterized as trait anger. Correlations of the Ho and STAXI with health measures produced modest but statistically significant correlations for measures of symptom and illness experience and generally low and non-significant correlations for heart rate and blood pressure.     

Detection of differential item functioning in Rasch models by boosting techniques

Methods for the identification of differential item functioning (DIF) in Rasch models are typically restricted to the case of two subgroups. A boosting algorithm is proposed that is able to handle the more general setting where DIF can be induced by several covariates at the same time. The covariates can be both continuous and (multi‐)categorical, and interactions between covariates can also be considered. The method works for a general parametric model for DIF in Rasch models. Since the boosting algorithm selects variables automatically, it is able to detect the items which induce DIF. It is demonstrated that boosting competes well with traditional methods in the case of subgroups. The method is illustrated by an extensive simulation study and an application to real data.     

Examining Individual Differences in Interpersonal Influence: On the Psychometric Properties of the Generalized Opinion Leadership Scale (GOLS)

Opinion leadership describes an individual's tendency to informally influence others’ attitudes and overt behaviors. In contrast to contemporary views of opinion leadership as a highly domain-specific trait, this paper introduces a multi-faceted personality trait, generalized opinion leadership (GOL) that characterizes exceptionally influential individuals independent of a specific subject area. Two studies report on the psychometric properties of a scale to assess GOL. Study 1 is based on three independent samples (N = 1,575, N = 1,275, and N = 231) and demonstrates the factorial structure of the instrument and its measurement invariance across sex, age, and educational levels. Study 2 (N = 310) analyzes multitrait-multiinformant data to highlight the scale's discriminant validity with regard to innovativeness and trendsetting.     

Exceptionalism or Chinamerica: Measuring Religious Change in the Globalizing World Today

Religion is changing fast in this era of globalization. Major global trends include the growth of Muslims, the shrinking percentage of unaffiliated, and the rapid rise of Christianity in global China. By 2030, China is likely to become the largest Christian country in the world while retaining large numbers of Buddhists, Muslims, and folk religious believers. To capture religious changes more accurately, social scientists of religion must sharpen their measurement tools regarding religiosity; pay more attention to the reality of nonalignment among religious identity, belief, and practice; and acknowledge the reality of nonexclusive/multiple religious beliefs, practices, and identities. Scholars must also take responsibility for developing a clear and nuanced definition of religion, abandon exceptionalist thinking, and seek to discover common patterns of religious change across societies. Conceptual and measurement tools at the disposal of social scientists of religion should enable us to perceive and understand the converging changes of religion in China, the United States, and other societies, without ignoring their historical differences and contemporary particularities.