Use of item ratings to examine personality test item cognitive response processes

This research examines the processes respondents use to answer personality test items. A total of 158 true/false items from four scales of the Personality Research Form and the California Psychological Inventory were used as stimuli. University students (N = 120) responded to each item and indicated one of nine strategies used in deciding on a response. Obtained response strategy ratings for items were reliable and their frequencies corresponded closely to previous findings with other items. Subsequently, the associations between item response strategy frequencies and item-total correlations were computed. Congruent with previous research, better items avoided behaviours or experiences and evoked responding based on traits and on referring to the statements of others. The associations between item response strategies and other indices of item quality are discussed and implications regarding scale development are offered.     

Diagnosing item score patterns on a test using item response theory-based person-fit statistics

Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the choice of an IRT model to detect misfitting item score patterns and the usefulness of person-fit statisticsfor diagnosis of misfit are discussed. Results showed that different types of person-fit statistics can be used to detect different kinds of person misfit. Parametric person-fit statistics had more power than nonparametric person-fit statistics.     

Preference stability belief as a determinant of response to personalized recommendations

Preference stability refers to the objectively measured choice consistency among options with different attribute values in the same product category. We suggest that a consumer's subjectively held belief of preference stability may be an important determinant of response to personalized recommendations. Experimental results confirm that preference stability belief moderates the effect of customization on the evaluation of recommendation accuracy and receptiveness to the learning relationship. Customization will produce stronger effects on accuracy evaluation and receptiveness for subjects with high preference stability belief than for subjects with low preference stability belief. Customers who believe their preferences are stable appreciate customized recommendations more, notice more acutely whether recommendations are customized or not, and are more receptive to the learning relationship when recommendations are customized than when not. Customers who believe their own preferences are less stable do not appreciate customized recommendations as much, are less sensitive to whether recommendations are customized or not, and are not more receptive to the learning relationship even when recommendations are customized. Theoretical and managerial implications of our findings are discussed. Copyright © 2011 John Wiley & Sons, Ltd.     

Development of a new critical thinking test using item response theory

The authors describe the initial development of the Wagner Assessment Test (WAT), an instrument designed to assess critical thinking, using the 5-faceted view popularized by the Watson-Glaser Critical Thinking Appraisal (WGCTA; G. B. Watson & E. M. Glaser, 1980). The WAT was designed to reduce the degree of successful guessing relative to the WGCTA by increasing the number of response alternatives (i.e., 80% of WGCTA items are 2-alternative, multiple-choice), a change that was hypothesized to result in more desirable test information and standard-error functions. Analyses using the 3-parameter logistic item response theory (IRT) model in a sample of undergraduates (N = 407) supported this prediction, even when the WAT item pool was shortened to match the length of the WGCTA. Convergent validity between full-pool IRT score estimates was r = .69. Implications for subsequent research on IRT-based measurement of critical thinking are discussed.     

Reliability of test scores in nonparametric item response theory

Three methods for estimating reliability are studied within the context of nonparametric item response theory. Two were proposed originally by Mokken (1971) and a third is developed in this paper. Using a Monte Carlo strategy, these three estimation methods are compared with four classical lower bounds to reliability. Finally, recommendations are given concerning the use of these estimation methods.The authors are grateful for constructive comments from the reviewers and from Charles Lewis.     

Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model

Even though many educational and psychological tests are known to be multidimensional, little research has been done to address how to measure individual differences in change within an item response theory framework. In this paper, we suggest a generalized explanatory longitudinal item response model to measure individual differences in change. New longitudinal models for multidimensional tests and existing models for unidimensional tests are presented within this framework and implemented with software developed for generalized linear models. In addition to the measurement of change, the longitudinal models we present can also be used to explain individual differences in change scores for person groups (e.g., learning disabled students versus non‐learning disabled students) and to model differences in item difficulties across item groups (e.g., number operation, measurement, and representation item groups in a mathematics test). An empirical example illustrates the use of the various models for measuring individual differences in change when there are person groups and multiple skill domains which lead to multidimensionality at a time point.     

Connotative Meaning as a Determinant of Response to Test Item Content

The purpose of this study was to determine if responses of like or dislike to Perceptual Reaction Test (PRT) designs — and thus, its ability to discriminate among criterion groups — were related to the connotative meaning of the designs. Seventy-four Ss were administered the PRT designs to which they responded on the traditional like-dislike alternatives as well as rating each design on a semantic differential. Correlations between the like-dislike dimension of the PRT designs and the semantic differential ratings of those designs indicated that when a S checks like for a design, he is expressing a positive evaluation of that design and probably sees it as less potent than those designs for which he checked dislike. Expression of like or dislike for a design appears to be inconsistently related to the activity dimension of meaning.     

Improving measurement precision of test batteries using multidimensional item response models

A conventional way to analyze item responses in multiple tests is to apply unidimensional item response models separately, one test at a time. This unidimensional approach, which ignores the correlations between latent traits, yields imprecise measures when tests are short. To resolve this problem, one can use multidimensional item response models that use correlations between latent traits to improve measurement precision of individual latent traits. The improvements are demonstrated using 2 empirical examples. It appears that the multidimensional approach improves measurement precision substantially, especially when tests are short and the number of tests is large. To achieve the same measurement precision, the multidimensional approach needs less than half of the comparable items required for the unidimensional approach.     

Short-term retention of response outcome as a determinant of serial reversal learning

The correlation between short-term retention of the outcome of the preceding response and overall learning proficiency was investigated for serial reversal learning. Pigeons were trained to asymptote on a serial reversal problem and then were presented a percentage reinforcement schedule where only some correct trials were rewarded. Nonrewarded correct trials were treated exactly as incorrect trials. The difference in error probability following the two types of correct trials was then used as a measure of short-term retention. When intertrial intervals (ITI) were short (6 sec), substantial differences occurred. When the ITI's were increased, the difference in accuracy declined regularly to no difference at an ITI of 60 sec. This demonstration of a short-term retention gradient, coupled with the finding that overall reversal learning was much better with the shorter ITI's, suggests that a primary mechanism of improvement in serial reversal learning is the acquisition of a conditional discrimination based on the outcome of the preceding response.     

A semiparametric approach for item response function estimation to detect item misfit

When scaling data using item response theory, valid statements based on the measurement model are only permissible if the model fits the data. Most item fit statistics used to assess the fit between observed item responses and the item responses predicted by the measurement model show significant weaknesses, such as the dependence of fit statistics on sample size and number of items. In order to assess the size of misfit and to thus use the fit statistic as an effect size, dependencies on properties of the data set are undesirable. The present study describes a new approach and empirically tests it for consistency. We developed an estimator of the distance between the predicted item response functions (IRFs) and the true IRFs by semiparametric adaptation of IRFs. For the semiparametric adaptation, the approach of extended basis functions due to Ramsay and Silverman (2005) is used. The IRF is defined as the sum of a linear term and a more flexible term constructed via basis function expansions. The group lasso method is applied as a regularization of the flexible term, and determines whether all parameters of the basis functions are fixed at zero or freely estimated. Thus, the method serves as a selection criterion for items that should be adjusted semiparametrically. The distance between the predicted and semiparametrically adjusted IRF of misfitting items can then be determined by describing the fitting items by the parametric form of the IRF and the misfitting items by the semiparametric approach. In a simulation study, we demonstrated that the proposed method delivers satisfactory results in large samples (i.e., N ≥ 1,000).     

Connotative meaning of abortion and attitude towards M.T.P

Acceptance of India's Medical Termination of Pregnancy Bill, enacted in 1972 to liberalize abortion, has been affected by cultural and psychological factors. To clarify the affective meaning accorded the term "abortion," the Osgood Semantic Differential technique was used with 354 subjects from South Delhi. Attitudes toward abortion were more favorable among men than women, unmarried women than married women, women with at least 2 living children, and those with at least a high school education as opposed to less educated men and women. The 6 abortion-related factors with the highest loadings were: volition, safety, morality, evaluation, legality, and potency. Analysis of mean composite attitude scores revealed a polarity profile of concepts, with rape, infanticide, promiscuity, and premarital abortion eliciting negative association and physician, baby, small family, and marital relationship eliciting positive associations. Of the 20 concepts that emerged from factor analysis, 2 clusters were identified: 1) goal-oriented concepts baby, doctor, small family, fertility, pregnancy, marital relationship, delivery, population control, birth control, and child as gift of God; and 2) means-oriented concepts Medical Termination of Pregnancy Act, sterilization, abortion, infertility, morbidity, premarital abortion, promiscuity, quacks, infanticide, and rape. These findings suggest that minimal use of the term "abortion" should be made when referring to the Medical Termination of Pregnancy Act, since this term provokes a negative affective meaning. Moreover, given the positive affective connation awarded doctors, more emphasis should be placed on their role in imparting health education material.     

The unique correspondence of the item response function and item category response functions in polytomously scored item response models

The item response function (IRF) for a polytomously scored item is defined as a weighted sum of the item category response functions (ICRF, the probability of getting a particular score for a randomly sampled examinee of ability ). This paper establishes the correspondence between an IRF and a unique set of ICRFs for two of the most commonly used polytomous IRT models (the partial credit models and the graded response model). Specifically, a proof of the following assertion is provided for these models: If two items have the same IRF, then they must have the same number of categories; moreover, they must consist of the same ICRFs. As a corollary, for the Rasch dichotomous model, if two tests have the same test characteristic function (TCF), then they must have the same number of items. Moreover, for each item in one of the tests, an item in the other test with an identical IRF must exist. Theoretical as well as practical implications of these results are discussed.This research was supported by Educational Testing Service Allocation Projects No. 79409 and No. 79413. The authors wish to thank John Donoghue, Ming-Mei Wang, Rebecca Zwick, and Zhiliang Ying for their useful comments and discussions. The authors also wish to thank three anonymous reviewers for their comments.     

Dissecting the expanded cognitive reflection test: an item response theory analysis

This study presents a psychometric evaluation of the Expanded Cognitive Reflection Test (CRT7) based on item response theory. The participants (N?=?1204) completed the CRT7 and provided self-reported information about their cognitive styles through the Preference for Intuition and Deliberation Scale (PID). A two-parameter logistic model was fitted to the data to obtain the item difficulty and discrimination parameters of the CRT7. The results showed that the items had good discriminatory power (αs?=?.80 ? 2.92), but the range of difficulty was restricted (βs ranged from ?.60 to .32). Moreover, the CRT7 showed a pattern of correlations with the PID which was similar to that of the original CRT. When taken together, these results are evidence of the adequacy of the CRT7 as an expanded tool for measuring cognitive reflection; however, one of the newer items (the pig item) was consistently problematic across analyses, and so it is recommended that in future studies it should be removed from the CRT7.     

A factor analysis and item response theory analysis of an employee honesty test

Although paper and pencil tests of employee honesty are becoming increasingly widespread in industry, a paucity of research exists regarding them. In a recent review of this literature, Sackett and Harris (1984) noted that scant psychometric evidence is available as to their merits or weaknesses. The aim of this paper is to report on the factor and item analysis of one such test. A principal axis solution and item response theory model (1-parameter) were used to examine the data. The factor analysis revealed four readily interpretable factors. With regard to the item analysis, the results indicated that on the whole most of the 40 items showed a reasonable fit to the model. The implications of this research are addressed.