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1.
Decisions regarding college majors have the potential to affect a person's overall academic performance and long‐term career success. With Holland's ( 1997 ) trait‐and‐factor theory serving as a foundation, the authors examined relationships between person–environment fit, college major satisfaction, and grade point average of undergraduate students (N = 99). Results revealed that student–major congruence and academic major satisfaction were both significant predictors of grade point average.  相似文献   

2.
In this article, we introduce a person‐fit statistic called the hierarchy consistency index (HCI) to help detect misfitting item response vectors for tests developed and analyzed based on a cognitive model. The HCI ranges from ?1.0 to 1.0, with values close to ?1.0 indicating that students respond unexpectedly or differently from the responses expected under a given cognitive model. A simulation study was conducted to evaluate the power of the HCI in detecting different types of misfitting item response vectors. Simulation results revealed that the detection rate of the HCI was a function of type of misfit, item discriminating power, and test length. The best detection rates were achieved when the HCI was applied to tests that consisted of a large number of highly discriminating items. In addition, whether a misfitting item response vector can be correctly identified depends, to a large degree, on the number of misfits of the item response vector relative to the cognitive model. When misfitting response behavior only affects a small number of item responses, the resulting item response vector will not be substantially different from the expectations under the cognitive model and consequently may not be statistically identified as misfitting. As an item response vector deviates further from the model expectations, misfits are more easily identified and consequently higher detection rates of the HCI are expected.  相似文献   

3.
Response accuracy and response time data can be analyzed with a joint model to measure ability and speed of working, while accounting for relationships between item and person characteristics. In this study, person‐fit statistics are proposed for joint models to detect aberrant response accuracy and/or response time patterns. The person‐fit tests take the correlation between ability and speed into account, as well as the correlation between item characteristics. They are posited as Bayesian significance tests, which have the advantage that the extremeness of a test statistic value is quantified by a posterior probability. The person‐fit tests can be computed as by‐products of a Markov chain Monte Carlo algorithm. Simulation studies were conducted in order to evaluate their performance. For all person‐fit tests, the simulation studies showed good detection rates in identifying aberrant patterns. A real data example is given to illustrate the person‐fit statistics for the evaluation of the joint model.  相似文献   

4.
The purpose of this study is to apply the attribute hierarchy method (AHM) to a subset of SAT critical reading items and illustrate how the method can be used to promote cognitive diagnostic inferences. The AHM is a psychometric procedure for classifying examinees’ test item responses into a set of attribute mastery patterns associated with different components from a cognitive model. The study was conducted in two steps. In step 1, three cognitive models were developed by reviewing selected literature in reading comprehension as well as research related to SAT Critical Reading. Then, the cognitive models were validated by having a sample of students think aloud as they solved each item. In step 2, psychometric analyses were conducted on the SAT critical reading cognitive models by evaluating the model‐data fit between the expected and observed response patterns produced from two random samples of 2,000 examinees who wrote the items. The model that provided best data‐model fit was then used to calculate attribute probabilities for 15 examinees to illustrate our diagnostic testing procedure.  相似文献   

5.
This article demonstrates the use of a new class of model‐free cumulative sum (CUSUM) statistics to detect person fit given the responses to a linear test. The fundamental statistic being accumulated is the likelihood ratio of two probabilities. The detection performance of this CUSUM scheme is compared to other model‐free person‐fit statistics found in the literature as well as an adaptation of another CUSUM approach. The study used both simulated responses and real response data from a large‐scale standardized admission test.  相似文献   

6.
Although positive teacher‐student relationships are known to aid students’ academic self‐regulation, the emotional aspects of teacher liking are often neglected within research. The present study used a large sample of seventh‐ and eighth‐grade students (N = 1,088; MAge =  13.7) in secondary schools in Germany to investigate whether the motivation students gain from specific well‐liked teachers (i.e., that students identify) can moderate the relation between their perception of teacher‐student relationships overall and academic self‐regulation (intrinsic motivation, identified, introjected, and external regulation). By means of latent moderated structural equations, students’ motivation based on liking one specific teacher was found to moderate the association between teacher‐student relationships and intrinsic motivation. The present study makes a contribution to the existing research on teacher‐student relationships and academic self‐regulation by investigating the role of students’ motivation related to the liking of a specific teacher. Results indicate that when early adolescent students can identify a well‐liked teacher, they tend to have higher levels of academic motivation. Hence, students’ motivation based on liking a single teacher compensates for generally low‐quality teacher‐student relationships and their respective impact on students’ intrinsic motivation.  相似文献   

7.
The authors investigated the relationship between students' ethnocultural person‐environment (P‐E) fit and college adjustment. They hypothesized differences between P‐E fit of ethnocultural minority versus majority students at a predominantly White university but did not expect differences in adjustment. Furthermore, they explored the effects of ethnicity and sex on P‐E fit and adjustment. Findings generally supported the hypotheses. The authors provide recommendations to increase college counselors' effectiveness in working with diverse clients.  相似文献   

8.
Orlando and Thissen's S‐X 2 item fit index has performed better than traditional item fit statistics such as Yen's Q1 and McKinley and Mill's G2 for dichotomous item response theory (IRT) models. This study extends the utility of S‐X 2 to polytomous IRT models, including the generalized partial credit model, partial credit model, and rating scale model. The performance of the generalized S‐X 2 in assessing item model fit was studied in terms of empirical Type I error rates and power and compared to G2. The results suggest that the generalized S‐X 2 is promising for polytomous items in educational and psychological testing programs.  相似文献   

9.
Using a complex simulation study we investigated parameter recovery, classification accuracy, and performance of two item‐fit statistics for correct and misspecified diagnostic classification models within a log‐linear modeling framework. The basic manipulated test design factors included the number of respondents (1,000 vs. 10,000), attributes (3 vs. 5), and items (25 vs. 50) as well as different attribute correlations (.50 vs. .80) and marginal attribute difficulties (equal vs. different). We investigated misspecifications of interaction effect parameters under correct Q‐matrix specification and two types of Q‐matrix misspecification. While the misspecification of interaction effects had little impact on classification accuracy, invalid Q‐matrix specifications led to notably decreased classification accuracy. Two proposed item‐fit indexes were more strongly sensitive to overspecification of Q‐matrix entries for items than to underspecification. Information‐based fit indexes AIC and BIC were sensitive to both over‐ and underspecification.  相似文献   

10.
This paper examines students’ achievement and interest and the extent to which they are predicted by teacher knowledge and motivation. Student achievement and interest are both considered desirable outcomes of school instruction. Teacher pedagogical content knowledge has been identified a major predictor of student achievement in previous research, whereas teacher motivation is considered a decisive factor influencing students’ interest. So far, however, most research either focused on knowledge or motivation (both on the students’ as well as the teachers’ side), rarely investigating them together or examining the instructional mechanisms through which the supposed effects of teacher knowledge and motivation are facilitated. In the present study, N = 77 physics teachers and their classes in Germany and Switzerland are investigated utilizing a multi‐method approach in combining data obtained from test‐instruments (teacher pedagogical content knowledge, student achievement) and questionnaires (teacher motivation, student interest, student perceived enthusiastic teaching) as well as videotaped instruction (cognitive activation rated by observers). Multi‐level structural equation modeling was used to support the assumptions that teacher pedagogical content knowledge positively predicted students’ achievement; the effect was mediated by cognitive activation. Teachers’ motivation predicted students’ interest which was mediated by enthusiastic teaching as perceived by students. Neither did teacher pedagogical content knowledge predict students’ interest, nor teacher motivation students’ achievement. This implies that in order to improve students’ cognitive as well as affective outcomes, both teachers’ knowledge but also their motivation need to be considered. © 2016 The Authors. Journal of Research in Science Teaching Published by Wiley Periodicals, Inc. J Res Sci Teach 54:586–614, 2017  相似文献   

11.
The idea that test scores may not be valid representations of what students know, can do, and should learn next is well known. Person fit provides an important aspect of validity evidence. Person fit analyses at the individual student level are not typically conducted and person fit information is not communicated to educational stakeholders. In this study, we focus on a promising method for detecting and conveying person fit for large-scale educational assessments. This method uses multilevel logistic regression (MLR) to model the slopes of the person response functions, a potential source of person misfit for IRT models. We apply the method to a representative sample of students who took the writing section of the SAT (N = 19,341). The findings suggest that the MLR approach is useful for providing supplemental evidence of model–data fit in large-scale educational test settings. MLR can be useful for detecting general misfit at global and individual levels. However, as with other model–data fit indices, the MLR approach is limited in providing information regarding only some types of person misfit.  相似文献   

12.
Traumatic brain injuries (TBIs), including concussions, can result in a constellation of physical, cognitive, emotional, and behavioral symptoms that affect students’ well‐being and performance at school. Despite these effects, school personnel remain underprepared identify, educate, and assist this population of students. This article describes a model of service delivery for students with TBI in a large urban school district. The district's TBI Program and Concussion Management Team address unique issues related to assessment, intervention, and transition planning for this population of students, as well as prevention and education efforts in the district as a whole. This model involved designating a district‐level school psychologist to serve as a point person for TBI cases, which improved accurate identification of students with TBI, facilitated coordination of concussion management efforts, and provided a smooth transition for students with TBI from the hospital or clinic back to school. Suggestions for increasing school psychologists’ involvement with TBI cases are proposed, including strategies for serving as team leaders, for coordinating progress monitoring, and for training others in the school community about TBIs.  相似文献   

13.
The information matrix can equivalently be determined via the expectation of the Hessian matrix or the expectation of the outer product of the score vector. The identity of these two matrices, however, is only valid in case of a correctly specified model. Therefore, differences between the two versions of the observed information matrix indicate model misfit. The equality of both matrices can be tested with the so‐called information matrix test as a general test of misspecification. This test can be adapted to item response models in order to evaluate the fit of single items and the fit of the whole scale. The performance of different versions of the test is compared in a simulation study with existing tests of model fit, among them the test of Orlando and Thissen, the score test of local independence due to Glas and Suarez‐Falcon, and the limited information approach of Maydeu‐Olivares and Joe. In general, the different versions of the information matrix test adhere to the nominal Type I error rate and have high power for detecting misspecified item characteristic curves. Additionally, some versions of the test can be used in order to detect violations of the local independence assumption.  相似文献   

14.
Students have been slow to adopt e‐textbooks even though they are often less expensive than traditional textbooks. Prior e‐textbook research has focused on adoption behavior, with little research to date on how students perceive e‐textbooks fitting their needs. This work builds upon Task‐Technology Fit (TTF) and Consumer Acceptance and Use of Technology (UTAUT2) theory to present a student‐perspective model of e‐textbook usage. By contextualizing TTF and UTAUT2 to e‐textbooks, the research fills a gap in the literature and provides guidance to researchers and practitioners. The goal of the research is to understand how students perceive their task of learning to fit with e‐textbook technology, and how that fit influences e‐textbook usage and expected performance in their classes. To achieve this goal, the research develops a model to test the relationship between perceived TTF of e‐textbooks and UTAUT2‐defined user characteristics that encourage adoption behaviors, thus facilitating student learning. The findings show that four factors impact a student's perceived TTF: substitution, habit, hedonic motivation, and facilitating conditions. Furthermore, perceived TTF positively correlates with students’ e‐textbook usage and expected performance in classes when using e‐textbooks. While price value exhibits a measurable effect on e‐textbook utilization, it is a minor factor.  相似文献   

15.
Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM‐based data with a linear attribute structure. The study utilizes a procedure to make the IRM and CDM frameworks comparable and investigates how estimation accuracy is affected by test diagnosticity and the match between the true and fitted models. The study shows that comparable results can be obtained when highly diagnostic IRM data are retrofitted with CDM, and vice versa, retrofitting CDMs to IRM‐based data in some conditions can result in considerable examinee misclassification, and model fit indices provide limited indication of the accuracy of item parameter estimation and attribute classification.  相似文献   

16.
The article presents findings from a two‐stage study that examined student perceptions of peer evaluations (PEs) conducted in undergraduate business classroom teams. In stage 1, we used qualitative research to identify constructs focal in students’ PE‐related cognitive schemas and developed grounded measurement scales and hypotheses about their relationships. Then, we implemented PEs in 17 sections of undergraduate business courses taught over seven semesters. The PEs were highly consequential; i.e., they entirely determined the grade each student received on her/his team project. At the end of each semester, we surveyed student perceptions and behaviors using measurement scales we developed after stage 1 of the study. We find that the knowledge of impending PEs leads students to exercise a great deal of care in terms of what they say and do while working with others. The higher levels of care trigger both impression management behaviors and perceptions that others are contributing more. The perceptions that others are contributing more seem instrumental in shaping students’ decision to contribute more themselves. Implications for instructors and future research are discussed.  相似文献   

17.
Using data from 1,571 ninth‐grade students (Mage = 14.62) from 82 academic track schools in Germany and their predominantly Caucasian middle‐class parents, configurations of different family characteristics reported by parents were investigated. Latent profile analyses considering academic involvement, family interest, parents’ self‐concept, child's need for support, and parents’ time and energy identified average, indifferent, motivated and engaged, motivated and disengaged, and involved families. Cross‐sectional and longitudinal associations with students’ motivational (self‐concept, effort, and interest) and achievement outcomes (achievement test and grades) in math were analyzed. Students from families classified as motivated and disengaged showed higher initial levels motivation and achievement. Over 5 months, these students also showed an increase in self‐concept and higher achievement than students from other family types.  相似文献   

18.
In this article, we propose using the Bayes factors (BF) to evaluate person fit in item response theory models under the framework of Bayesian evaluation of an informative diagnostic hypothesis. We first discuss the theoretical foundation for this application and how to analyze person fit using BF. To demonstrate the feasibility of this approach, we further use it to evaluate person fit in simulated and empirical data, and compare the results with those of HT and the infit and outfit statistics. We found that overall BF performed as well as HT statistics and better than the infit and outfit statistics when detecting aberrant responses. Given the BF flexibility in handling data set with a small number of examinees, we suggest that BF can be used as person fit statistics, especially in computerized adaptive tests.  相似文献   

19.
Science education reform efforts in the Unites States call for a dramatic shift in the way students are expected to engage with scientific concepts, core ideas, and practices in the classroom. This new vision of science learning demands a more complex conceptual understanding of student engagement and research models that capture both the multidimensionality and contextual specificity of student engagement in science. In a unique application of person‐oriented analysis of experience sampling data, we employ cluster analysis to identify six distinct momentary engagement profiles representing different combinations of the behavioral, cognitive, and affective dimensions of student engagement in high school science classrooms. Students spend a majority of their classroom time in one of several engagement profiles characterized by high engagement on one dimension, but low levels on the others. Students exhibited low engagement across all three dimensions of engagement in about 22% of our observations. Full engagement, or high levels across all three dimensions, is the least frequent profile, occurring in only 11% of the observations. Students’ momentary engagement profiles are related in meaningful ways to both the learning activity in which students are engaged and the types of choices they are afforded. Laboratory activities provided especially polarized engagement experiences, producing full engagement, universally low engagement, and pleasurable engagement in which students are affectively engaged but are not engaged cognitively or behaviorally. Student choice is generally associated with more optimal engagement profiles and the specific type of choice matters in important ways. Choices about how to frame the learning activity have the most positive effects relative to other types of choices, such as choosing whom to work with or how much time to take. Results are discussed in terms of implications for practice and the utility of the methodological approach for evaluating the complexities of student engagement in science classrooms. © 2017 Wiley Periodicals, Inc. J Res Sci Teach 88: 19–43, 2018  相似文献   

20.
Researchers have documented the impact of rater effects, or raters’ tendencies to give different ratings than would be expected given examinee achievement levels, in performance assessments. However, the degree to which rater effects influence person fit, or the reasonableness of test-takers’ achievement estimates given their response patterns, has not been investigated. In rater-mediated assessments, person fit reflects the reasonableness of rater judgments of individual test-takers’ achievement over components of the assessment. This study illustrates an approach to visualizing and evaluating person fit in assessments that involve rater judgment using rater-mediated person response functions (rm-PRFs). The rm-PRF approach allows analysts to consider the impact of rater effects on person fit in order to identify individual test-takers for whom the assessment results may not have a straightforward interpretation. A simulation study is used to evaluate the impact of rater effects on person fit. Results indicate that rater effects can compromise the interpretation and use of performance assessment results for individual test-takers. Recommendations are presented that call researchers and practitioners to supplement routine psychometric analyses for performance assessments (e.g., rater reliability checks) with rm-PRFs to identify students whose ratings may have compromised interpretations as a result of rater effects, person misfit, or both.  相似文献   

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