Cengiz Zopluoglu

Cengiz Zopluoglu
University of Oregon | UO · Department of Educational Methodology, Policy &Leadership

PhD

About

43
Publications
12,566
Reads
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449
Citations
Additional affiliations
June 2020 - present
University of Oregon
Position
  • Professor (Associate)
June 2019 - June 2020
University of Miami
Position
  • Professor (Associate)
August 2013 - June 2019
University of Miami
Position
  • Professor (Assistant)
Education
August 2009 - July 2013
University of Minnesota Twin Cities
Field of study
  • Quantitative Methods in Education
September 2007 - June 2009
University of Minnesota Twin Cities
Field of study
  • Quantitative Methods in Education
October 2001 - June 2005
Bolu Abant Izzet Baysal University
Field of study
  • Elementary Math Education

Publications

Publications (43)
Article
Full-text available
A mixture extension of Samejima’s Continuous Response Model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical dataset, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response behavio...
Article
Full-text available
Unusual response similarity among test takers may occur in testing data and be an indicator of potential test fraud (e.g., examinees copy responses from other examinees, send text messages or pre-arranged signals among themselves for the correct response, item pre-knowledge). One index to measure the degree of similarity between two response vector...
Article
Full-text available
Researchers frequently use machine-learning methods in many fields. In the area of detecting fraud in testing, there have been relatively few studies that have used these methods to identify potential testing fraud. In this study, a technical review of a recently developed state-of-the-art algorithm, Extreme Gradient Boosting (XGBoost), is provided...
Preprint
Full-text available
Response time (RT) information has recently attracted a significant amount of attention in the literature as it may provide meaningful information about item preknowledge. In this study, a Deterministic Gated Lognormal Response Time (DG-LNRT) model is proposed to identify examinees with potential item preknowledge using RT information. The proposed...
Article
Response time information has recently attracted significant attention in the literature as it may provide meaningful information about item preknowledge. The methods that use response time information to identify examinees with potential item preknowledge make an implicit assumption that the examinees with item preknowledge differ in their respons...
Article
Mattering is defined as experiences of feeling valued and adding value in different domains of life: self, relationships, work, and community. Mattering is a construct with great relevance across psychological and social issues. Research has suggested there may be value in understanding group differences in mattering. Following the recent validatio...
Article
Full-text available
Pragmatic instruments with psychometric support are important to advance dissemination and implementation (D&I) research, but few well-researched D&I instruments exist. Item response theory (IRT), an approach that is underutilized in D&I, can help with the development of actionable and brief instruments. This paper provides an overview of IRT for D...
Article
Mattering, defined as feeling valued and adding value, is a basic psychological need with significant explanatory power. Although several specific measures have been introduced to assess the construct, no integrated, multidimensional measure exists. This limits the ability of researchers to investigate mattering in ecological contexts. This paper s...
Article
Objective Food insecurity is a structural barrier to HIV care in peri-urban areas in South Africa (SA), where approximately 80% of households are moderately or severely food insecure. ⁽¹⁾ For people with HIV (PWH), food insecurity is associated with poor ART adherence and survival rates. Yet, measurement of food insecurity among PWH remains a chall...
Article
This study presents a new approach to synthesizing differential item functioning (DIF) effect size: First, using correlation matrices from each study, we perform a multigroup confirmatory factor analysis (MGCFA) that examines measurement invariance of a test item between two subgroups (i.e., focal and reference groups). Then we synthesize, across t...
Article
Rhythmic entrainment occurs when an auditory rhythm drives an internal movement oscillator, thus providing a continuous time reference that improves temporal and spatial movement parameters. Entrainment processes and outcomes are well known for adults, but research is lacking for infants who might benefit from diagnosis and treatment of irregular r...
Preprint
Full-text available
Response time information has recently attracted a significant amount of attention in the literature as it may provide meaningful information about item preknowledge. The methods that propose the use of response time information in identifying examinees with potential item preknowledge make an implicit assumption that the examinees with item prekno...
Article
Full-text available
Aim/Purpose: The purpose of this study was to examine the factor structure of a newly developed Culture of Mattering survey (CoM) that evaluates mattering in the context of relationships with supervisors, colleagues, and the organization as a whole. Background: Mattering can be defined as the experience of feeling valued and adding value. Despite t...
Article
Piecewise mixed-effects models are useful for analyzing longitudinal educational and psychological data sets to model segmented change over time. These models offer an attractive alternative to commonly used quadratic and higher-order polynomial models because the coefficients obtained from fitting the model have meaningful substantive interpretati...
Article
Full-text available
The purpose of the present study was to evaluate various analytical means to detect academic cheating in an experimental setting. The omega index was compared and contrasted given a gold criterion of academic cheating which entailed a discrepant score between two administrations using an experimental study with real test takers. Participants were 1...
Article
This study compared the acoustic parameters and degree of perceived warmth in two types of infant-directed (ID) songs − the lullaby and the playsong − between mothers of infants with Down syndrome (DS) and mothers of typically-developing (TD) infants. Participants included mothers of 15 DS infants and 15 TD infants between 3 and 9 months of age. Ea...
Article
Full-text available
The dimensionality of a set of items is important for scale development. In practice, tools that make use of eigenvalues are often used to assess dimensionality. Parallel analysis is featured here as it is becoming an increasingly popular method for assessing the number of dimensions, and computational tools have recently been made available which...
Article
This study compared the acoustic parameters and degree of perceived warmth in two types of infant-directed (ID) songs − the lullaby and the playsong − between mothers of infants with Down syndrome (DS) and mothers of typically-developing (TD) infants. Participants included mothers of 15 DS infants and 15 TD infants between 3 and 9 months of age. Ea...
Code
Full-text available
Unusual response similarity among test takers may occur in testing data and be an indicator of potential test fraud (e.g., examinees copy responses from other examinees, send text messages or pre-arranged signals among themselves for the correct response, item pre-knowledge). One index to measure the degree of similarity between two response vector...
Article
Full-text available
We describe a patient LS, profoundly deaf in both ears from birth, with underdeveloped superior temporal gyri. Without hearing aids, LS displays no ability to detect sounds below a fixed threshold of 60 dBs, which classifies him as clinically deaf. Under these no-hearing-aid conditions, when presented with a forced-choice paradigm in which he is as...
Article
This article describes the REREFACT R package, which provides a postrotation algorithm that reorders or reflects factors for each replication of a simulation study with exploratory factor analysis (EFA). The purpose of REREFACT is to provide a general algorithm written in freely available software, R, dedicated to addressing the possibility that a...
Article
Test fraud has recently received increased attention in the field of educational testing, and the use of comprehensive integrity analysis after test administration is recommended for investigating different types of potential test frauds. One type of test fraud involves answer copying between two examinees, and numerous statistical methods have bee...
Article
Nonlinear random coefficient models (NRCMs) for continuous longitudinal data are often used for examining individual behaviors that display nonlinear patterns of development (or growth) over time in measured variables. As an extension of this model, this study considers the finite mixture of NRCMs that combine features of NRCMs with the idea of fin...
Article
The performance of item selection methods in multidimensional computerized adaptive testing has only been studied using an independent cluster multidimensional structure. The goal of this study is to examine the effect of four different item selection methods on test utilization and measurement accuracy under more complex multidimensional data stru...
Article
Full-text available
Among the methods proposed for identifying the number of latent traits in multidimensional IRT models, DETECT has attracted the attention of both methodologists and applied researchers as a nonparametric counterpart to other procedures. The current study investigated the overall performance of the DETECT procedure and its outcomes using a real-data...
Article
A linear-linear piecewise growth mixture model (PGMM) is appropriate for analyzing segmented (disjointed) change in individual behavior over time, where the data come from a mixture of 2 or more latent classes, and the underlying growth trajectories in the different segments of the developmental process within each latent class are linear. A PGMM a...
Article
Full-text available
A linear–linear piecewise growth mixture model (PGMM) is appropriate for analyzing segmented (disjointed) change in individual behavior over time, where the data come from a mixture of 2 or more latent classes, and the underlying growth trajectories in the different segments of the developmental process within each latent class are linear. A PGMM a...
Article
Full-text available
Effective instructional planning and intervening rely heavily on accurate understanding of students' growth, but relatively few researchers have examined mathematics achievement trajectories, particularly for students with special needs. We applied linear, quadratic, and piecewise linear mixed-effects models to identify the best-fitting model for m...
Article
Full-text available
The purpose of the present study was to explore the influence of the number of targets specified on the quality of exploratory factor analysis solutions with a complex underlying structure and incomplete substantive measurement theory. We extended previous research in this area by (a) exploring this phenomenon in situations in which both the common...
Conference Paper
Background: The mission of state early intervention (EI) programs under IDEA is to provide services and supports to both children 0-3 with developmental delays and their families. Since 2005, states have been required to report on families’ perceptions of the extent to which EI helped the family achieve desired family outcomes. Families of a child...
Article
Full-text available
This study examined the effect of baseline estimation on the quality of trend estimates derived from Curriculum Based Measurement of Oral Reading (CBM-R) progress monitoring data. The authors used a linear mixed effects regression (LMER) model to simulate progress monitoring data for schedules ranging from 6-20 weeks for datasets with high and low...
Article
Curriculum-Based Measurement of Oral Reading (CBM-R) is used to collect time series data, estimate the rate of student achievement, and evaluate program effectiveness. A series of 5 studies were carried out to evaluate the validity, reliability, precision, and diagnostic accuracy of progress monitoring across a variety of progress monitoring durati...
Article
Full-text available
The generalized binomial test (GBT) and ω indices are the most recent methods suggested in the literature to detect answer copying behavior on multiple-choice tests. The ω index is one of the most studied indices, but there has not yet been a systematic simulation study for the GBT index. In addition, the effect of the ability levels of the examine...
Article
Full-text available
This study compares two algorithms, as implemented in two different computer softwares, that have appeared in the literature for estimating item parameters of Samejima's continuous response model (CRM) in a simulation environment. In addition to the simulation study, a real-data illustration is provided, and CRM is used as a potential psychometric...
Article
Full-text available
The plausible range of intra-class correlation coefficient (ICC) is essential for both a priori sample size calculations in planning cluster-randomized trials and statistical adjustments of misaligned analysis of clustered data in meta-analytic studies. Recent efforts to create databases for ICC in educational achievement outcomes are based on the...
Article
Full-text available
Curriculum-based measurement of oral reading (CBM-R) is used to index the level and rate of student growth across the academic year. The method is frequently used to set student goals and monitor student progress. This study examined the diagnostic accuracy and quality of growth estimates derived from pre-post measurement using CBM-R data. A linear...
Article
Full-text available
Curriculum-based measurement of oral reading (CBM-R) is frequently used to set student goals and monitor student progress. This study examined the quality of growth estimates derived from CBM-R progress monitoring data. The authors used a linear mixed effects regression (LMER) model to simulate progress monitoring data for multiple levels of progre...

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