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Curriculum-Based Measurement of Oral Reading: Standard Errors Associated With Progress Monitoring Outcomes From DIBELS, AIMSweb, and an Experimental Passage Set
Abstract
There are relatively few studies that evaluate the quality of progress monitoring estimates derived from curriculum-based measurement of reading. Those studies that are published provide initial evidence for relatively large magnitudes of standard error relative to the expected magnitude of weekly growth. A major contributor to the observed magnitudes of standard error is the inconsistency of passage difficulty within progress monitoring passage sets. The purpose of the current study was to evaluate and estimate the magnitudes of standard error across an experimental passage set referred to as the Formative Assessment Instrumentation and Procedures for Reading (FAIP-R) and two commercially available passage sets (AIMSweb and Dynamic Indicators of Basic Early Literacy Skills [DIBELS]). Each passage set was administered twice weekly to 68 students. Results indicated significant differences in intercept, weekly growth, and standard error. Estimates of standard error were smallest in magnitude for the FAIP-R passage set followed by the AIMSweb and then DIBELS passage sets. Implications for choosing a progress monitoring passage set and estimating individual student growth are discussed.
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Christ, T. J., Zopluoglu, C., Monaghen, B. D., & Norman, E. R. V. (2012) · Journal of School Psychology · doi:10.1016/j.jsp.2012.11.001 · Cited by 117
“The results of other research generally converge with that finding (Ardoin & Christ, 2009; Christ, 2006; Hintze & Christ, 2004; Hintze, Daly, & Shapiro, 1998; Hintze & Shapiro, 1997; Hintze et al., 2000; Jenkins et al., 2005; Jenkins et al., 2009).”
BackgroundMethodResultInfluentialSelf-citationCurriculum-Based Measurement of Oral Reading: Quality of Progress Monitoring Outcomes
Christ, T. J., Zopluoglu, C., Long, J. D., & Monaghen, B. D. (2012) · Exceptional Children · doi:10.1177/001440291207800306 · Cited by 90
Self-citationIn search of average growth: Describing within-year oral reading fluency growth across Grades 1–8
Nese, J. F. T., Biancarosa, G., Cummings, K. D., Kennedy, P. C., Alonzo, J., & Tindal, G. A. (2013) · Journal of School Psychology · doi:10.1016/j.jsp.2013.05.006 · Cited by 74
“…result, the vast majority of all ORF growth studies report constant rates of change over time, estimated most often in weekly expected gains (e.g., Ardoin & Christ, 2008, 2009; Christ, 2006; Christ, Zopluoglu, Long, & Monaghen, 2012; Deno et al., 2001; Fuchs et al., 1993; Graney et al., 2009;…”
BackgroundInfluentialCurriculum-Based Measurement: A Brief History of Nearly Everything from the 1970s to the Present
Tindal, G. (2013) · ISRN Education · doi:10.1155/2013/958530 · Cited by 59
Supporting valid decision making: Uses and misuses of assessment data within the context of RTI
Ball, C. R., & Christ, T. J. (2012) · Psychology in the Schools · doi:10.1002/pits.21592 · Cited by 60
Self-citationDufrene, B. A., Reisener, C. D., Olmi, D. J., Zoder‐Martell, K. A., McNutt, M. R., & Horn, D. R. (2010) · Journal of Behavioral Education · doi:10.1007/s10864-010-9111-8 · Cited by 54
“As measurement error increases, the accuracy of our decisions regarding students’ RtI decreases (Ardoin and Christ 2009).”
BackgroundChildren's Eye Movements in Reading: A Commentary
Rayner, K., Ardoin, S. P., & Binder, K. S. (2013) · School Psychology Review · doi:10.1080/02796015.2013.12087486 · Cited by 50
“For instance, one problem the field is currently facing is the development of passages that are equivalent in level of difficulty for use in CBM oral reading (CBM-R) progress monitoring (Ardoin & Christ, 2009; Christ & Ardoin, 2009).”
BackgroundSelf-citationUSING CURRICULUM-BASED MEASUREMENT TO EXAMINE SUMMER LEARNING LOSS
Patton, K. L. S., & Reschly, A. L. (2013) · Psychology in the Schools · doi:10.1002/pits.21704 · Cited by 58
Psychometric Properties of Maze Tasks in Middle School Students
Tolar, T. D., Barth, A. E., Francis, D. J., Fletcher, J. M., Stuebing, K. K., & Vaughn, S. R. (2011) · Assessment for Effective Intervention · doi:10.1177/1534508411413913 · Cited by 39
“…test also exhibits form/passage effects when used with middle-grade students is consistent with prior work on ORF passages in the elementary grades (Ardoin & Christ, 2009; Christ & Ardoin, 2009; Dunn & Eckert, 2002; Francis et al., 2008; Hintze, Shapiro, & Lutz, 1994; Poncy, Skinner, & Axtell,…”
ResultThe Theil–Sen Slope for High-Stakes Decisions from Progress Monitoring
Vannest, K. J., Parker, R. I., Davis, J. L., Soares, D. A., & Smith, S. L. (2012) · Behavioral Disorders · doi:10.1177/019874291203700406 · Cited by 39
Form Effects on DIBELS Next Oral Reading Fluency Progress- Monitoring Passages
Cummings, K. D., Park, Y., & Schaper, H. A. B. (2012) · Assessment for Effective Intervention · doi:10.1177/1534508412447010 · Cited by 37
“These form effects (Ardoin & Christ, 2009; Christ & Silberglitt, 2007; Francis et al., 2008) refer to passage-level variability that persists in spite of the application of a priori readability formulae.”
BackgroundCurriculum-Based Measurement of Reading: Is 6 Weeks of Daily Progress Monitoring Enough?
Thornblad, S. C., & Christ, T. J. (2014) · School Psychology Review · doi:10.1080/02796015.2014.12087451 · Cited by 34
“Previous research established that a dataset with an SEE of approximately 5 WRCM is very good, 10 is good, 15 is poor, and 20 is very poor (Ardoin & Christ, 2009; Christ, 2006).”
BackgroundResultSelf-citationDeno, S. L. (2015) · Springer eBooks · doi:10.1007/978-1-4899-7568-3_2 · Cited by 42
“Growth trends estimated from GOM/CBM tend to be quite inconsistent and unreliable, with large confidence intervals that make data interpretation difficult (Ardoin and Christ 2009; Christ and Coolong-Chaffin 2007).”
BackgroundMiller, B., & O'Donnell, C. (2013) · School Psychology Review · doi:10.1080/02796015.2013.12087480 · Cited by 26
“…Foster et al., 2013; Vorstius et al., 2013), including some challenges and limits to such an approach, e.g., the need for standardized and well-controlled reading passages (Ardoin & Christ, 2009) and the prohibitive cost and issues of durability of the equipment (see also Joseph et al., 2013).”
BackgroundModeling Nonlinear Growth With Three Data Points
Kamata, A., Nese, J. F. T., Patarapichayatham, C., & Lai, C.-F. (2012) · Assessment for Effective Intervention · doi:10.1177/1534508412457872 · Cited by 27
“Although some studies have assumed linear growth with enough occasions to model nonlinearity (e.g., Ardoin & Christ, 2009; Christ, 2006), most research in this area has explored and used nonlinear models.”
BackgroundExaminer error in curriculum-based measurement of oral reading
Cummings, K. D., Biancarosa, G., Schaper, A., & Reed, D. K. (2014) · Journal of School Psychology · doi:10.1016/j.jsp.2014.05.007 · Cited by 26
Klubnik, C., & Ardoin, S. P. (2010) · Journal of Behavioral Education · doi:10.1007/s10864-009-9096-3 · Cited by 26
Self-citationBrosnan, J., Moeyaert, M., Newsome, K. B., Healy, O., Heyvaert, M., Onghena, P., & Noortgate, W. V. D. (2016) · Exceptionality · doi:10.1080/09362835.2016.1238378 · Cited by 24
“This is problematic as currently there are no well validated measures for monitoring progress across short periods of time (e.g., 0–15 weeks) (Ardoin & Christ, 2009).”
BackgroundDecision-Making Accuracy of CBM Progress-Monitoring Data
Hintze, J. M., Wells, C. S., Marcotte, A. M., & Solomon, B. G. (2017) · Journal of Psychoeducational Assessment · doi:10.1177/0734282917729263 · Cited by 22
“Using the likely range of SEEs, as reported by Christ and Silberglitt (2007) 1 and Ardoin and Christ (2009), 20,000 time-series data sets were simulated per condition to model student reading growth of either two wcpm/wk or one wcpm/wk across 15 consecutive weeks of intervention.”
BackgroundMethodInfluentialNorman, E. R. V., Nelson, P. M., Shin, J.-E., & Christ, T. J. (2013) · Journal of Behavioral Education · doi:10.1007/s10864-013-9176-2 · Cited by 22
Self-citationAlbers, C. A., & Hoffman, A. J. (2012) · Journal of Applied School Psychology · doi:10.1080/15377903.2012.731365 · Cited by 22
“However, as cautioned by Ardoin and Christ (2009), it is essential for researchers to be mindful that the results obtained using progress monitoring tools, such as CBM-R and CBM Maze, serve as an approximation of student reading levels and growth rates.”
BackgroundAssessment: Periodic Assessment to Monitor Progress
Silberglitt, B., Parker, D. C., & Muyskens, P. (2015) · Springer eBooks · doi:10.1007/978-1-4899-7568-3_16 · Cited by 23
Dart, E. H., Arora, P. G., Collins, T. A., & Doll, B. J. (2018) · School Mental Health · doi:10.1007/s12310-018-9299-7 · Cited by 21
Shapiro, E. S. (2012) · Journal of School Psychology · doi:10.1016/j.jsp.2012.11.003 · Cited by 21
“…continue, modify, or discontinue intervention based on CBM-R progress monitoring data has so much error embedded in the decision that decisions are likely to be incorrect (Ardoin & Christ, 2009; Francis et al., 2008; Good & Shinn, 1990; Poncy, Skinner, & Axtell, 2005; Shinn, Good, & Stein, 1989).”
BackgroundCurriculum-Based Measurement of Oral Reading
Christ, T. J., Monaghen, B. D., Zopluoglu, C., & Norman, E. R. V. (2012) · Assessment for Effective Intervention · doi:10.1177/1534508412456417 · Cited by 20
Self-citationNorman, E. R. V., & Parker, D. C. (2017) · Assessment for Effective Intervention · doi:10.1177/1534508417728695 · Cited by 24
“…average range of SEE values, a proxy for data set variability or measurement error, was between 7 and 10 WRCM, values considered typical in applied practice when using commercial instruments and collecting data in standardized conditions (Ardoin & Christ, 2009; Christ, 2006; Christ et al., 2013).”
MethodJanuary, S. A., Norman, E. R. V., Christ, T. J., Ardoin, S. P., Eckert, T. L., & White, M. J. (2018) · School Psychology Review · doi:10.17105/spr-2017-0009.v47-1 · Cited by 21
“First, differences in progress monitoring outcomes as a function of passage type have been addressed elsewhere (see Ardoin & Christ, 2009).”
BackgroundSelf-citationBulut, O., & Cormier, D. C. (2018) · Frontiers in Education · doi:10.3389/feduc.2018.00068 · Cited by 19
Ardoin, S. P., Eckert, T. L., Christ, T. J., White, M. J., Morena, L. S., January, S. A., & Hine, J. F. (2013) · School Psychology Review · doi:10.1080/02796015.2013.12087472 · Cited by 19
“…evidence examining the equivalence of CBM-R probes within probe sets, evidence of the reliability and validity of probes is not sufficient to establish them as appropriate for progress monitoring (Ardoin & Christ, 2008; Ardoin & Christ, 2009; Ardoin, Christ, Morena, Cormier, & Klingbeil, 2013).”
BackgroundSelf-citationMarchand, G. C., & Furrer, C. J. (2014) · Psychology in the Schools · doi:10.1002/pits.21779 · Cited by 20
Defensible Progress Monitoring Data for Medium- and High-Stakes Decisions
Parker, R. I., Vannest, K. J., Davis, J. L., & Clemens, N. H. (2010) · The Journal of Special Education · doi:10.1177/0022466910376837 · Cited by 19
“Data used for mediumto high-stakes decisions should include measurement error, so the likelihood of a wrong or “regrettable decision” will be known (Ardoin & Christ, 2009; Goodman, 1999; Hintze & Christ, 2004).”
MethodAssessing the reliability of curriculum-based measurement: An application of latent growth modeling
Yeo, S., Kim, D., Branum‐Martin, L., Wayman, M. M., & Espin, C. A. (2011) · Journal of School Psychology · doi:10.1016/j.jsp.2011.09.002 · Cited by 19
“Previous studies examining the influence of passage variability have also demonstrated the influence of error related to single CBM points on the value of the slopes generated by the data (Ardoin & Christ, 2009; Christ, 2006; Francis et al., 2008).”
BackgroundAssessing oral reading fluency within and across grade levels: Development of equated test forms
Rodrigues, B., Cadime, I., Freitas, T., Choupina, C., Baptista, A., Viana, F. L., & Ribeiro, I. (2022) · Behavior Research Methods · doi:10.3758/s13428-022-01806-7 · Cited by 18
“…as a viable solution to avoid these measurement biases and to guarantee the scores’ equivalence (Albano & Rodriguez, 2012; Ardoin et al., 2010; Ardoin & Christ, 2009; Betts et al., 2009; Cummings et al., 2013; Denton et al., 2011; Francis et al., 2008; Petscher & Kim, 2011; Stoolmiller…”
BackgroundPatton, K. L. S., Reschly, A. L., & Appleton, J. J. (2014) · Educational Assessment · doi:10.1080/10627197.2014.964117 · Cited by 18
“…systems has surpassed mere progress monitoring to include additional uses such as screening for academic difficulties, setting individualized goals, benchmarking, and informing eligibility decisions (Ardoin & Christ, 2009; Good, Simmons & Kame’enui, 2001; Reschly et al., 2009; Wiley & Deno, 2005).”
BackgroundAdvanced (Measurement) Applications of Curriculum-Based Measurement in Reading
Petscher, Y., Cummings, K. D., Biancarosa, G., & Fien, H. (2012) · Assessment for Effective Intervention · doi:10.1177/1534508412461434 · Cited by 18
“Furthermore, a line of research by Christ and colleagues has demonstrated a profound impact of SEM on estimates of slope and, ultimately, decisions about adequate student progress (Ardoin & Christ, 2009; Christ, 2006; Christ, Zopluoglu, Long, & Monaghen, 2012).”
BackgroundArora, P. G., Connors, E. H., George, M. W., Lyon, A. R., Wolk, C. B., & Weist, M. D. (2016) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-016-0217-y · Cited by 17
Sytsma, M. R., Panahon, C. J., & Houlihan, D. (2019) · Journal of Applied School Psychology · doi:10.1080/15377903.2019.1597796 · Cited by 17
Christ, T. J., & Desjardins, C. D. (2017) · Journal of Psychoeducational Assessment · doi:10.1177/0734282917712174 · Cited by 17
“Researchers observed that the variation of CBM-R scores around the OLSR line was 11, 12, and 15 WRCM (Dynamic Indicators of Basic Early Literacy Skills (DIBELS); University of Oregon Center on Teaching and Learning, 2017) when they used each of three different probe sets (Ardoin & Christ, 2009) .”
BackgroundMethodResultSelf-citationKlapproth, F. (2018) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2018.03.004 · Cited by 16
Norman, E. R. V., Maki, K. E., Burns, M. K., McComas, J. J., & Helman, L. A. (2018) · Journal of School Psychology · doi:10.1016/j.jsp.2018.02.002 · Cited by 15
Tindal, G. A., Nese, J. F. T., Stevens, J. J., & Alonzo, J. (2015) · Remedial and Special Education · doi:10.1177/0741932515590234 · Cited by 17
“…administrations (Hintze & Shapiro, 1997) and over 12 weeks (with approximately 2 administrations per week) to determine standard errors of measurement (Ardoin & Christ, 2009); likewise, passage difficulty level on oral reading progress monitoring has been documented (Hintze, Daly, & Shapiro, 1998).”
BackgroundFord, J. W., Missall, K. N., Hosp, J. L., & Kuhle, J. L. (2017) · School Psychology Review · doi:10.17105/spr-2016-0014.v46-4 · Cited by 14
“While these studies examined differences in student performance within a developed set of passages, additional research (i.e., Ardoin & Christ, 2009) has found differences when comparing students’ performance across CBM tools as well.”
BackgroundResultInfluentialPetscher, Y., Mitchell, A. M., & Foorman, B. R. (2014) · Reading and Writing · doi:10.1007/s11145-014-9518-z · Cited by 15
“However, recent measurement issues have been identified pertaining to curriculum-based measures of reading (CBM-R), such as form effects (Ardoin & Christ, 2009; Christ & Ardoin, 2009; Francis et al., 2008; Petscher & Kim, 2011) and error of measurement (Christ & Silberglitt, 2007).”
BackgroundFluency Training in Phoneme Blending: A Preliminary Study of Generalized Effects
Martens, B. K., Werder, C. S., Hier, B. O., et al. (2012) · Journal of Behavioral Education · doi:10.1007/s10864-012-9159-8 · Cited by 14
“Ardoin and Christ (2009) reported a mean standard error of the estimate (SEE) for third-grade Table 3 Mean WCPM on word lists and passages across conditions Name Vowel team/ passage Base 1 WLT Base/Maint 2 WLT Base/Maint 3 WLT Maint 4 Dante AW T 45.5 56.5 70.0 76.5 G 45.0 16.0 51.5 63.5 68.5 OI T…”
BackgroundInfluentialMcDaniel, S. C., Houchins, D. E., & Terry, N. P. (2012) · Journal of Emotional and Behavioral Disorders · doi:10.1177/1063426611433506 · Cited by 14
“No reliability or validity analyses have been completed on the use of AIMSweb for comparison of individual student performance over time as was employed in this study (Ardoin & Christ, 2009).”
MethodEspin, C., & Deno, S. (2016) · Springer eBooks · doi:10.1007/978-1-4939-2803-3_13 · Cited by 14
Can educational technology effectively differentiate instruction for reader profiles?
Baron, L. S., Hogan, T. P., Schechter, R. L., Hook, P. E., & Brooke, E. C. (2019) · Reading and Writing · doi:10.1007/s11145-019-09949-4 · Cited by 22
“Of note, the aimsweb passages resulted in significantly less measurement error when used to measure word reading as compared to the DIBELS passages—another progress monitoring tool that is commonly used in schools (Ardoin & Christ, 2009).”
MethodNorman, E. R. V., Nelson, P. M., & Parker, D. C. (2018) · School Psychology Review · doi:10.17105/spr-2017-0089.v47-4 · Cited by 13
Stevenson, N. A., Reed, D. K., & Tighe, E. L. (2016) · Psychology in the Schools · doi:10.1002/pits.21919 · Cited by 11
Novice Interpretations of Progress Monitoring Graphs: Extreme Values and Graphical Aids
Newell, K. W., & Christ, T. J. (2017) · Assessment for Effective Intervention · doi:10.1177/1534508417694855 · Cited by 11
“…administration (Christ, White, Ardoin, & Eckert, 2013; Cummings, Biancarosa, Schaper, & Reed, 2014; Derr & Shapiro, 1989), qualities of instrumentation (Ardoin & Christ, 2009; Francis et al., 2008), and the schedule and duration of data collection (Christ, Zopluoglu, Monaghen, & Van Norman, 2013).”
Self-citationPrecision of Single-Skill Math CBM Time-Series Data: The Effect of Probe Stratification and Set Size
Solomon, B. G., Payne, L. L., Campaña, K. V., Marr, E. A., Battista, C., Silva, A., & Dawes, J. M. (2019) · Journal of Psychoeducational Assessment · doi:10.1177/0734282919894096 · Cited by 11
Utilizing Text-Generative AI for Creating Oral Reading Fluency Probes
Sidwell, M. D., Bonner, L. W., Bates‐Brantley, K., & Wu, S. (2024) · Intervention in School and Clinic · doi:10.1177/10534512241235896 · Cited by 11
“Perhaps the most important consideration is obtaining a generated output with an accurate reading level (Ardoin & Christ, 2009; Shapiro, 2011).”
Gesel, S. A., & Lemons, C. J. (2020) · Exceptional Children · doi:10.1177/0014402920924845 · Cited by 10
“We elected to readminister passages, rather than supplement with another vendor’s passages, because passages assigned the same grade-level difficulty across CBM vendors are not necessarily functionally equivalent (Ardoin & Christ, 2009; Ford et al., 2017).”
BackgroundMethodNorman, E. R. V., & Nelson, P. M. (2019) · Journal of School Psychology · doi:10.1016/j.jsp.2019.04.001 · Cited by 9
Stevenson, N. A. (2015) · The Journal of Educational Research · doi:10.1080/00220671.2014.910161 · Cited by 8
“Weekly administrations of RCBM are also commonly used for monitoring student progress and responsiveness to intervention (Ardoin & Christ, 2009; Fuchs, 2004; Silberglitt & Hintze, 2007).”
MethodApplying Generalizability Theory for Making Quantitative RTI Progress-Monitoring Decisions
Fan, C., & Hansmann, P. R. (2015) · Assessment for Effective Intervention · doi:10.1177/1534508415573299 · Cited by 8
“Results revealed that the generalizability reliability for relative decisions ranged from r = .90 to .99 with the SEM values ranging from 4 to 12 CWPM, and the dependability reliability for absolute decisions ranged from r = .81 to .97 with a range of SEM values from 6 to 18 CWPM. Ardoin and Christ (2009) suggested th…”
BackgroundMethodInfluentialPractical issues in field based testing of oral reading fluency at upper elementary grades
Duesbery, L., Braun-Monegan, J., Werblow, J., & Braun, D. H. (2012) · Studies In Educational Evaluation · doi:10.1016/j.stueduc.2012.09.002 · Cited by 8
Advancing Stage 2 Research on Measures for Monitoring Kindergarten Reading Progress
Clemens, N. H., SooHoo, M., Wiley, C. P., Hsiao, Y., Estrella, I., Allee-Smith, P. J., & Yoon, M. (2017) · Journal of Learning Disabilities · doi:10.1177/0022219416688171 · Cited by 11
“Writing a set of meaningful passages that conforms to a certain level of difficulty is challenging, and problems with passage nonequivalence have been demonstrated with CBM-R measures (Ardoin & Christ, 2009; Francis et al., 2008).”
BackgroundResultNese, J. F. T., & Kamata, A. (2020) · Assessment for Effective Intervention · doi:10.1177/1534508420937801 · Cited by 7
“But CBM-R has several practical and technical inadequacies, including large measurement error, or standard error of measurement (SEM; Ardoin & Christ, 2009; Christ et al., 2012; Christ & Silberglitt, 2007; Poncy et al., 2005).”
BackgroundHammerschmidt‐Snidarich, S. M., McComas, J. J., & Simonson, G. R. (2019) · Preventing School Failure Alternative Education for Children and Youth · doi:10.1080/1045988x.2019.1611535 · Cited by 7
“Each student dyad also received the following materials to conduct their peer-mediated RR sessions: (1) an 8” x 11” sheet of laminated paper with RR intervention (coaching) steps listed to reference and to mark each step when it was completed; (2) FAST (Ardoin & Christ, 2009) ORF progress monitoring passages at level…”
BackgroundInfluentialEffects of word overlap on generalized gains from a repeated readings intervention
Martens, B. K., Young, N. D., Mullane, M. P., Baxter, E. L., Sallade, S. J., Kellen, D., Long, S. J., Sullivan, W. E., Womack, A. J., & Underberg, J. (2019) · Journal of School Psychology · doi:10.1016/j.jsp.2019.05.002 · Cited by 7
O’Keeffe, B. V., Bundock, K., Kladis, K., Yan, R., & Nelson, K. (2017) · Remedial and Special Education · doi:10.1177/0741932517713310 · Cited by 6
“Researchers and test publishers further refined their passage development to include field-testing and additional statistical equating to determine the passages with the least variability in practice within each grade level (e.g., Ardoin & Christ, 2009; Poncy et al., 2005).”
BackgroundInfluentialChaparro, E. A., Stoolmiller, M., Park, Y., Baker, S. K., Basaraba, D. L., Fien, H., & Smith, J. L. M. (2017) · Assessment for Effective Intervention · doi:10.1177/1534508417741128 · Cited by 6
“The findings presented here also support the idea that test developers should attempt to discover outlier passages (Ardoin & Christ, 2009) through tests such as empirical Bayes mean estimates.”
BackgroundInfluentialStrategies for Minimizing Variability in Progress Monitoring of Oral Reading Fluency
Bundock, K., O’Keeffe, B. V., Stokes, K., & Kladis, K. (2018) · TEACHING Exceptional Children · doi:10.1177/0040059918764097 · Cited by 6
“Many studies evaluating variability of CBM ORF have included participants who score at or above benchmark proficiency (Ardoin & Christ, 2009; Betts, Pickart, & Heistad, 2009; Briggs, 2011; Christ & Ardoin, 2009; Francis et al., 2008; Hintze & Christ, 2004; Poncy et al., 2005).”
BackgroundPrecision of Curriculum-Based Measurement Reading Data: Considerations for Multiple-Baseline Designs
Klingbeil, D. A., Norman, E. R. V., & Nelson, P. M. (2017) · Journal of Behavioral Education · doi:10.1007/s10864-017-9282-7 · Cited by 6
“Even after rigorous field testing, differences in the complexity and variety of words in the passages result in probes that are systematically harder or easier than one another (Ardoin and Christ 2009).”
BackgroundInfluentialBose, M., Kohli, N., Newell, K. W., & Christ, T. J. (2019) · Learning and Individual Differences · doi:10.1016/j.lindif.2019.03.004 · Cited by 6
Self-citationNese, J. F. T. (2022) · AERA Open · doi:10.1177/23328584211071112 · Cited by 5
“The SE of the slope estimate quantifies the variability, or precision, of the slope estimate that has been often used in CBM-R research (e.g., Ardoin & Christ, 2009) to evaluate the accuracy of growth estimates.”
MethodBarth, A. E., Stuebing, K. K., Fletcher, J. M., Denton, C. A., Vaughn, S. R., & Francis, D. J. (2014) · Assessment for Effective Intervention · doi:10.1177/1534508414545643 · Cited by 5
“Readability formulae imprecisely estimate the difficulty level of passages and are not adequate for equating passages (Ardoin & Christ, 2009; Francis, Santi, et al., 2008).”
BackgroundNorman, E. R. V., Klingbeil, D. A., & McLendon, K. E. (2018) · Remedial and Special Education · doi:10.1177/0741932517749941 · Cited by 5
Norman, E. R. V., & Parker, D. C. (2017) · Journal of Psychoeducational Assessment · doi:10.1177/0734282917696936 · Cited by 5
“In a demonstration of the implications of inconsistent probe difficulty on progress monitoring outcomes, Ardoin and Christ (2009) administered aimsweb, DIBELS, and an experimental passage set twice weekly for 11 weeks to 68 students.”
MethodHunter, D., Boneshefski, M. J., Kovaleski, J. F., & Runge, T. J. (2022) · Learning Disability Quarterly · doi:10.1177/07319487221115172 · Cited by 4
“An additional limitation: ROIs derived from CBM-R are prone to error that may be impacted by the quality and schedule of progress monitoring data (e.g., Ardoin & Christ, 2009; Christ, 2006).”
MethodPrecision of Single-Skill Mathematics CBM: Group Versus Individual Administration
Dawes, J. M., Solomon, B. G., McCleary, D. F., Ruby, C., & Poncy, B. C. (2021) · Assessment for Effective Intervention · doi:10.1177/15345084211035055 · Cited by 3
“This sample size was informed by prior studies of progress monitoring (e.g., Ardoin & Christ, 2009; Thornblad & Christ, 2014).”
MethodResultKlapproth, F., Holzhüte, L., & Jungmann, T. (2022) · Journal for Educational Research Online / Journal für Bildungsforschung Online · doi:10.31244/jero.2022.01.02 · Cited by 5
“According to the literature (e.g., Ardoin & Christ, 2009; Van Norman & Christ, 2016), SEE values usually vary between 5 and 20, where 5 means very low, and 20 very high variability.”
Typical Rates of Regression After Exiting Supplemental Interventions in Reading
Norman, E. R. V., Nelson, P. M., & Klingbeil, D. A. (2020) · School Psychology Review · doi:10.1080/2372966x.2020.1720801 · Cited by 3
A PRELIMINARY INVESTIGATION OF VISUAL GOAL MARKERS TO PROMPT FLUENT ORAL READING
Mason, L. L., Rivera, C. J., Spencer, T. D., O’Keeffe, B. V., Petersen, D. B., & Slocum, T. A. (2015) · Psychology in the Schools · doi:10.1002/pits.21888 · Cited by 3
Progress Monitoring for Students Receiving Intensive Academic Intervention
Klingbeil, D. A., Bradley, T. L., & McComas, J. J. (2015) · Springer eBooks · doi:10.1007/978-1-4899-7568-3_20 · Cited by 3
Brigham, F. J., McKenna, J. W., Claude, C. M., & Brigham, M. M. (2021) · Advances in special education · doi:10.1108/s0270-401320210000036003 · Cited by 2
A Gender Bias in Curriculum-Based Measurement across Content Domains: Insights from a German Study
Klapproth, F., & von der Lippe, H. (2024) · Education Sciences · doi:10.3390/educsci14010076 · Cited by 2
“SEE values often vary between 5 and 20, with 5 meaning a very low and 20 a very high variability e.g., [62,63].”
BackgroundBaker, D. L., Le, N., Basaraba, D. L., et al. (2024) · School Psychology Review · doi:10.1080/2372966x.2024.2398986 · Cited by 2
Stealth assessment of oral reading fluency during interactive book reading
Wang, Z., O’Reilly, T., Klebanov, B. B., & Suhan, M. (2025) · Journal of Research on Technology in Education · doi:10.1080/15391523.2025.2555251 · Cited by 2
“Prior research indicates that the estimate of students’ ORF growth rate is highly dependent on the passage sets used (Ardoin & Christ, 2009) and the order in which the passages were administered (Francis et al., 2008).”
Synthesis of Research Symposium at CLD’s 35th International Conference on Learning Disabilities
Reed, D. K., Cummings, K. D., Allen, E. A., Weiser, B. L., Hott, B. L., & Smolkowski, K. (2014) · Learning Disability Quarterly · doi:10.1177/0731948714523435 · Cited by 2
“This individual variation may be due to changes in difficulty of progress monitoring forms (e.g., Ardoin & Christ, 2009; Cummings, Park, & Bauer Schaper, 2013; Francis et al., 2008) that, despite strong relative correlations between forms, do not take into account absolute score differences across…”
BackgroundDeveloping a Brief Behavior Rating Scale for Progress Monitoring of Depression in School Settings
Dart, E. H., Arora, P. G., Collins, T. A., Stark, K. D., Cook, C. R., Duong, M. T., McCarty, C. A., & Doll, B. J. (2018) · Assessment for Effective Intervention · doi:10.1177/1534508418799179 · Cited by 2
“…measures for progress monitoring depressive symptoms are notably lacking (von der Embse, Scott, & Kilgus, 2015) and, without such measures, it will be impossible to engage in data-driven decision making within an MTSS framework (Ardoin & Christ, 2009; Hawken, Vincent, & Schumann, 2008).”
BackgroundA Comparison of Priors When Using Bayesian Regression to Estimate Oral Reading Fluency Slopes
Solomon, B. G., Forsberg, O. J., Thomas, M., Penna, B., & Weisheit, K. M. (2021) · Assessment for Effective Intervention · doi:10.1177/15345084211040219 · Cited by 2
“First, our sample included students of varied initial performance, as did previous studies of R-CBM slopes (e.g., Ardoin & Christ, 2009; Thornblad & Christ, 2014).”
MethodResultInfluentialModeling First Grade Reading Development
Mesmer, H. A. E., & Williams, T. O. (2014) · Reading Psychology · doi:10.1080/02702711.2012.743494 · Cited by 2
Reading Tutors’ Interpretation of Curriculum-Based Measurement Graphs
Hammerschmidt‐Snidarich, S. M., Wagner, D., Parker, D. C., et al. (2020) · Assessment for Effective Intervention · doi:10.1177/1534508420963193 · Cited by 1
“In the area of reading, curriculumbased measures of reading (CBM-R) are among the most researched and most feasible options for this purpose.”
BackgroundInfluentialGrekov, P., Pustejovsky, J. E., & Klingbeil, D. A. (2025) · Journal of School Psychology · doi:10.1016/j.jsp.2025.101429 · Cited by 3
Martens, B. K., Codding, R. S., & Sallade, S. J. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811122-2.00008-5 · Cited by 1
Varnauer, C., Chromik, S., Doebler, P., et al. (2022) · Journal for Educational Research Online / Journal für Bildungsforschung Online · doi:10.31244/jero.2022.01.04 · Cited by 1
“In line with this, learning progress monitoring is predominantly thought of as CBM since emerging in the early 1970s (Deno, 1985; Klauer, 2014).”
InfluentialUsing Latent Change Score Analysis to Model Co-Development in Fluency Skills
Petscher, Y., Koon, S., & Herrera, S. (2016) · Springer eBooks · doi:10.1007/978-1-4939-2803-3_12
Assessment in Educational Settings
Lovett, B. J., & Nelson, J. M. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108235433.035
Lembke, E. S. (2015) · Routledge eBooks · doi:10.4324/9780203108482-18
Noell, G. H., Ardoin, S. P., & Gansle, K. A. (2018) · Autism and child psychopathology series · doi:10.1007/978-3-319-93542-3_6
Self-citationNeild, R. (2023) · Advances in higher education and professional development book series · doi:10.4018/978-1-6684-5834-1.ch006
Graph Out Loud: Pre-Service Teachers’ Data Decisions and Interpretations of CBM Progress Graphs
Toste, J. R., Filderman, M. J., Clemens, N. H., & Fry, E. C. (2024) · Journal of Learning Disabilities · doi:10.1177/00222194241231768
“We purposefully developed our four student cases to reflect two levels of variability in the data based on prior research with CBM ORF passage sets (Ardoin & Christ, 2009; Christ et al., 2013; Christ & Silber-glitt, 2007; Cummings et al., 2013); a very low level of variability ( ± 6 points around…”
The influence of procedural characteristics on within-case effect sizes for academic outcomes
Norman, E. R. V., Klingbeil, D. A., & Sturgell, A. K. (2024) · Journal of School Psychology · doi:10.1016/j.jsp.2024.101347 · Cited by 1
Grekov, P., Pustejovsky, J. E., & Klingbeil, D. A. (2024) · doi:10.31234/osf.io/9sa82
Burns, M. K., Burklew, J. M., & Shepherd, L. S. (2025) · Preventing School Failure Alternative Education for Children and Youth · doi:10.1080/1045988x.2025.2544292
“The type of CBM used and system (e.g. DIBELS; University of Oregon, n.d.) can also affect how growth is modeled for students (Ardoin & Christ, 2009; Solomon et al., 2020).”
Intraindividual variability in curriculum-based measurements of writing
Winkes, J. (2026) · Assessing Writing · doi:10.1016/j.asw.2026.101073
Shinn, M. R. (2013) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-61735-867-820251075
Metadata
- Authors
- Ardoin, S. P., & Christ, T. J.
- Affiliations
- University of Georgia (US)
- University of Minnesota (US)
- Corresponding author
- Ardoin, Scott P.
- Venue
- School Psychology Review
- Publisher
- Informa UK Limited
- Published
- 2009-06-01
- Volume
- 38
- Issue
- 2
- Pages
- 266-283
- ISSN
- 0279-6015 (ISSN-L)
- 2372-966X
- OpenAlex
- W2161811204
- Cited by
- 145
- References
- 0
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 6 · 2021: 3 · 2020: 4 · 2019: 9 · 2018: 12 · 2017: 14 · 2016: 8 · 2015: 14 · 2014: 14 · 2013: 13 · 2012: 19
- FWCI
- 20.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- School Psychology Review (publishedVersion)
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
- Social Sciences › Psychology › Developmental and Educational Psychology › Behavioral and Psychological Studies
- Social Sciences › Education › Educational Assessment and Improvement
- Keywords
- progress monitoring, standard errors, reading aloud, curriculum-based measurement, DIBELS, reading assessment
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