Abstract
Background
Schools have been suggested as a viable avenue to combat childhood obesity. School administrators are sometimes faced with the conflicting demands of improving the health of their students and maintaining academic performance. Dynamic furniture such as stand-biased desks may be one way to address both academic and health demands placed on schools to prevent childhood obesity.
Method
Classrooms with stand-biased desks were compared to classrooms using traditional seated desks in 2nd,3rd, and 4th grades. The academic engagement of 282 participants was observed in the fall and spring during one academic year. The engagement of the treatment classrooms was compared to the engagement of the control classrooms.
Results
Both groups showed general increases in their academic engagement over time. Stand-biased desks do not seem to result in adverse effects on academic engagement when used in elementary classrooms.
Conclusion
The data suggests promising results for the use of stand-biased desks in elementary school classrooms. The results suggest that stand-biased desks can be introduced in the classroom to combat childhood obesity through increasing energy expenditure without affecting academic engagement.
Keywords: stand-biased desk, classroom design, academic engagement
In an effort to address childhood obesity there have been several interventions aimed at impacting children’s level of physical activity and healthy eating behavior in the public school setting.1,2 Schools have been chosen as a target setting for obesity prevention and intervention due to the significant amount of time children spend in school.1 School administrators often struggle with managing conflicting demands surrounding the growing need for integrating healthy and active behaviors in the school setting with increasing the academic achievement and competitive standing of American children.3 Recent research suggests that physical activity may have beneficial effects on cognitive ability and consequently academic achievement; thereby, encouraging the alignment of school-based efforts to meet students’ health and educational needs.4,5
Given the growing childhood obesity epidemic, health care professionals have suggested guidelines for reducing the prevalence of childhood obesity in the United States.6 In 2009–2010, obesity rates were as high as 16.9%, and rates for overweight children and adolescents ages 2 to 19 were 31.8% (Body Mass Index (BMI) ≥95th percentile and BMI ≥85th percentile based on age and gender norms respectively).7 More specifically, children between the ages of 6 and 11 show rates as high as 18% for obesity and 32.6% for overweight.5 The alarming rate of unhealthy weight for children is a relatively recent phenomenon. In the 1970s, the rate of obesity was as low as 5% in children and adolescents, but there has been an average increase of 3.7% per year between 1977 and 2008 in childhood obesity.8 The increase in BMI may be a result of the increasing sedentary lifestyle of children and adolescents.9 For example, one study focusing on children in daycare facilities noted that preschool children spent 55% of their daycare time in sedentary activities, such as seated play.10 Healthy People 2010 offered guidelines and recommendations to reduce the rate of childhood obesity back to the prevalence recorded in the 1970s.4 Several interventions have been aimed at reducing the energy gap between energy intake and expenditure to combat sedentary behavior by increasing children’s access to sports facilities in school or by limiting student access to calorie dense foods in schools.1,4,5,11 Although, there has been stabilization in the rate of increase each year, standards set by Healthy People 2010 were not reached.6 In response, Healthy People 2020 objectives were developed with the goal of reducing the prevalence rate of obesity recorded in 2008 by 5% for the year 2020, which would require an average reduction of 41 kcal/day for all children and adolescents, and specifically a reduction of 37 kcal/day for children 6 to 11 years old.6 There have been different opinions offered for how health professionals can achieve the Healthy People 2020 goal. Wang suggests that reducing small amounts of daily caloric intake is a much more attainable goal than a massive reduction of caloric intake once a child reaches the obese category.8 Interventions targeted at schools, such as reducing the availability of sugar-sweetened beverages and implementing programs that decrease sedentary behavior, continue to be the most frequent suggested methods suggested for reaching the new standards set by Healthy People 2020.8 These interventions have demonstrated modest success in increasing energy expenditure in elementary school children.2,3
Several studies have shown that daily involvement in organized physical activity programs, such as Physical Education (PE), have resulted in reductions in BMI and decreases in body fat.1,9–12 For example, in a two-year physical education intervention, there was a significant increase in energy expenditure in children participating in an intervention group that replaced academic time with PE time.12 In another study, an aerobic dance intervention with high school girls resulted in a significantly greater decrease in body weight while body weight in the control group remained unchanged.13
Due to concerns regarding loss of academic time as a result of greater involvement in PE classes and activities, numerous studies have investigated the positive effects of physical activity involvement on academic achievement and classroom behavior.14–17 Research with adults and animals has suggested that exercise results in an increase in oxygen levels to areas of the brain that support memory and learning.4 Adults have shown improvements in cognitive functions such as processing speed and memory tasks, and animal research gives insight into which neural sights may be activated and nourished during physical activity. Tomporowski and colleagues suggest that exercise has similar cognitive effects for children.5 Other studies have shown that children that replace some percentage of their time spent in academic activities with physical activity have comparable levels of academic achievement to children that did not replace academic time with physical activity.13 These results suggest that physical activity might improve the efficiency of learning, but more importantly does not adversely impact academic achievement.
The effects of physical activity on classroom behavior and academic engagement have also been investigated. For example, children with autism spectrum disorders (ASD) were found to exhibit higher levels of classroom engagement following a 20-minute aerobic exercise routine that preceded instruction.16 Providing further support for the positive effects of physical activity on student engagement, children that were deprived from recess for longer periods of time showed more inattention, as measured by gaze directed at the teacher during instructional time prior to recess.18 Collectively, data from studies measuring academic achievement and classroom engagement suggest that increasing physical activity in the school setting is an important way to combat sedentary behavior and to improve the physical health of children without compromising students’ academic achievement.
To achieve the childhood obesity-related objectives set by Healthy People 2020, some researchers have suggested increasing the amount of movement in the classroom as a method of combating sedentary behaviors and increasing caloric expenditure in children.7,18–20 Cardon et al. found that children in traditional seated classrooms spent, on average, 97% of their day seated.9 By increasing non-exercise activity thermogenesis (NEAT), research suggests that children can expend small amounts of energy that will facilitate a meaningful increase in caloric expenditure.21 NEAT is the small amount of energy expended while doing daily tasks such as walking, standing, working, etc.22 Biddle et al. found that some children exhibit large amounts of active (moderate and vigorous) and sedentary behaviors throughout the day, thereby suggesting there is sufficient time for both activities in the day. He concluded that increasing moderate and vigorous physical activity alone may not be sufficient to target sedentary behavior.23 Interventions aimed at making classrooms more active are favorable because they allow for direct replacement of sedentary behavior with active behavior. Increasing physical activity may also be beneficial for learning because it allows children to be physically active while academically engaged.
To increase activity in the classroom, student desks have been altered to allow children to expend more energy during instructional activities and academic assignments. One such alteration involves allowing children to stand at their desk.24–27 Benden and colleagues have shown that stand-biased desks result in statistically significant improvements in the energy expenditure of children during the school day and cause no discomfort to students.24–28 Stand-biased desks also do not appear to adversely impact student achievement, as there have been no significant adverse changes in 6th grade students’ academic achievement when stand-biased desks are installed in classrooms, suggesting that the desks are not distracting to children.27 The extant literature suggests that stand-biased desks aimed at reducing sedentary behavior by replacing it with more active behaviors have positive health benefits for children. Although there appear to be no adverse effects of standing behavior on students’ academic achievement, the extent to which standing might have positive effects on students’ academic engagement has been largely unexplored. In a qualitative study examining the utility of stand-biased desks and consumer’s perspective (i.e., classroom teachers) on the usability of stand-biased desks, Blake and colleagues found that many teachers associated stand-biased desks with improvements in students’ attention and focus.28
The purpose of the current study is to investigate the effects of standing behavior on student engagement in elementary classrooms by comparing classrooms that adopted stand-biased desks to classrooms that utilized traditional seated desks and chairs. Given research suggesting that physical activity, even at low levels, may provide both physical and cognitive benefits to children, it is possible that these cognitive benefits may be attributable to students’ increased ability to sustain attention because the children have an opportunity to expend excess energy through physical activity while maintaining cognitive focus on classroom tasks. This study is an exploratory study that seeks to investigate the possible relationship between physical activity and classroom engagement.
Methods
Subjects
The sample consisted of 282 2nd, 3rd, and 4th grade students from 3 schools that participated in a larger study on the physiological effects of a stand-biased desk intervention. Classroom teachers (n=24) who were identified by the school principal as being willing to participate in the study were recruited for their classroom to participate in the study through an informational meeting of grade level teachers. The teacher consent rate was 100%. Parent consent for student participation in the study was obtained through methods consistent with Institutional Review Board procedures. Letters explaining the study and its purpose were sent home to parents within a general start-of-the-year packet sent with students in September. Parental consent was obtained following a presentation about the study during parent orientation meetings at the start of the school year. Descriptive statistics for the final study sample (N=282) are shown in Table 1.
Table 1.
Treatment n=158 |
Control n=124 |
|
---|---|---|
Female (%) | 51.27 | 55.28 |
Grade 2(%) | 35.44 | 43.55 |
Grade 3(%) | 45.57 | 33.87 |
Grade 4(%) | 18.99 | 22.58 |
Black (%) | 11.54 | 14.17 |
Hispanic (%) | 10.90 | 10.00 |
Asian (%) | 5.77 | 10.00 |
White (%) | 71.29 | 66.83 |
Total Engagement | 41.9 (7.4) | 37.6 (9.1) |
Instruments
Behavioral Observations of Students in Schools (BOSS).29
The BOSS was administered to assess the frequency in which students displayed active engagement (e.g., answering a question, raising a hand, participating in active discussion), passive engagement (e.g., attentive towards the lesson but the child does not take an active role in instructional activities), and off-task behavior in class. The BOSS uses time-sampling to record the frequency of behaviors that students exhibit within a 15-second interval. For the current study, each student was observed for 12 minutes on a single day (48 15-second intervals). The BOSS is intended for practicing clinicians as a diagnostic tool to aid in treatment planning, but has been used in several research studies with success and adequate reliability.16,30–33 The BOSS is scored by counting the total number of behaviors observed in each category, and dividing each total by the total number of intervals the child was observed. For this study, students’ total engagement in class was calculated by averaging students’ passive and active engagement scores. The inter-observer reliability as measured by the intra-class correlation was adequate and ranged from .81 to .90 for the fall and spring semesters of a single academic year.
Procedures
Participating schools utilized a team approach for instruction, in which one teacher instructed Science and Math and the other taught English and Social Studies. This team-teaching required students to switch classrooms twice each day to receive their lesson from the appropriate teacher. To address this potential confounder, teams of teachers rather than individual teachers were randomly assigned to either the treatment or control condition. Stand-biased desks and stools were installed in the treatment classrooms prior to the start of the school year and adjusted to a standard height for students’ age group. Once school started, the furniture was adjusted to the unique height of each student.
Prior to data collection, 10 undergraduate research assistants were trained in the BOSS observation protocol and scoring procedures using a standardized training protocol. Research assistants had to achieve a 90% coding accuracy of videoed classrooms in order to engage in live training within participating classrooms. Live observational training served two purposes: to increase research assistants’ accuracy in observing participants’ behavior and to assist the student participants with becoming acclimated to the presence of observers. The observers were paired and assigned to a classroom team in each grade for each school. All observers were blinded to the purpose of the study. Observations were conducted over a 3-week period at each school. Target students were identified with the assistance of teachers and by having students wear nametags for the first few weeks of school. Observations were conducted twice per week in 90-minute intervals in the mornings during instructional time in the fall and spring. Each participating student was observed for 12 minutes on one day in the fall and one day in the spring.
Data Analysis
Before performing formal statistical analysis, descriptive statistics and frequency tables were analyzed to examine the demographic characteristics of the sample. Missing data were then documented and examined.
Behavior performance measures are often correlated among students in the same classroom due to the effects of shared environment, particularly the teacher. The data are measured longitudinally for each of the variables of interest, once in the fall and once in the spring semester. In order to account for both the nested and longitudinal nature of these data, a random effect model,34 also known as a hierarchical linear model, was employed to examine whether the stand-biased desks impacted students’ academic engagement. The child and classroom were included in the model as random effects. The fixed effects (covariates) include treatment assignment, time, interaction between treatment and time, and other baseline covariates such as gender, grade level, race/ethnicity, and their interaction with the treatment, if necessary. All data analyses were conducted using SAS statistical software.
Results
Among the 282 participants who had behavior measurements in the fall, 158 were assigned to the stand-biased desks (treatment group) and 124 were assigned to the traditional desks (i.e. control group). The average Total Engagement score is higher for the treatment than the control group for the fall. The mean and standard error plots for the total engaged time (avgTotEng), for different treatment groups at fall and spring are shown in Figure 1.
The SAS procedure Proc Mixed was used for performing the main analysis and results are shown in Table 2. The treatment group exhibited greater levels of academic engagement than the control group in the fall, with a statistically significant difference of the average total engagement score of 4.21 (p = 0.003) noted. In the spring semester, the control group showed a greater increase in academic engagement relative to the treatment group. Although the treatment effect on academic engagement is attenuated somewhat in the spring, the treatment group still evidenced a greater academic engagement in the spring, with the difference of the score being 4.21–3.49=0.72. Females have an estimated higher academic engagement score of 2.07 (p=0.0007) than males. None of the other covariates were statistically significant; however, from the estimated coefficients, Black students exhibited lower levels of engagement than White students with the difference being 1.61 (p=0.10). Hispanic students had similar scores of total engagement relative to White students, but Asian students had a higher engagement score of 2.04 than did White students (p=0.09). Second graders’ engagement score of 1.20 was lower than third graders (p=0.39), and the fourth graders have a higher score of 2.28 than third graders (p=0.19).
Table 2.
Covariate | Coefficient | Std. Err. | P-value |
---|---|---|---|
Intercept | 36.55 | 1.36 | <.0001 |
Treat | 4.21 | 1.40 | 0.003 |
Time | 4.70 | 0.87 | <.0001 |
Treat*Time | −3.49 | 1.16 | 0.003 |
Female | 2.07 | 0.61 | 0.0007 |
Black | −1.61 | 0.98 | 0.10 |
Hispanic | −0.18 | 1.03 | 0.86 |
Asian | 2.04 | 1.18 | 0.09 |
Grade2 | −1.20 | 1.40 | 0.39 |
Grade4 | 2.28 | 1.73 | 0.19 |
Note: White students are the reference group for racial/ethnic analyses.
Discussion
Implications for School Engagement
The purpose of this study was to examine the effect of stand-biased desks on student classroom engagement. The findings indicate that students provided with stand-biased desks did not decrease in their academic engagement in the classroom when compared to their seated counterparts. The significance of this finding is two-fold. First, the effects of active classrooms on academic engagement and academic performance have been largely unexamined until now; thus, this research makes an important contribution to the existing knowledge base. Second, the results of this study document that the use of stand-biased desks in classrooms does not seem to disrupt students’ level of engagement, allowing schools to address childhood obesity and energy expenditure without negatively academic performance. The study suggests that stand-biased desks do not create a distraction in the classroom with elementary school children, which extends the findings of Koepp and colleagues research.27
Limitations and Future Directions
Although careful consideration was given to the study design, results of this study should be evaluated in the context of study limitations. First, the student participants represented three grade levels from three schools in one suburban school district. While the participating schools were demographically diverse, additional research should examine effects in more rural and more metropolitan schools to enhance the generalizability of the findings. Second, students were observed for two days. Whereas it is possible that observing students for this period may not have fully captured students’ engagement behavior, this length of observation is common for clinical practice. However, future research should examine students’ engagement over time and for longer intervals in order to be sure the level of engagement assessed provides an accurate reflection of student’s academic engagement in class.
Conclusion
In conclusion these findings yield promising results surrounding the use of stand-biased desks in elementary classrooms in that these desks do not appear to adversely affect students’ academic engagement. Given research which suggests that stand-biased desks might be useful in combatting childhood obesity, school health professionals might want to consider the incorporation of these desks in elementary classrooms to increase the physical health of students while also enhancing learning.
Acknowledgments
Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number R21HD068841. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Human Subjects Approval Statement
This study was approved by the Texas A&M Institutional Review Board and the review board of the participating school district.
References
- 1.Wechsler H, Devereaux RS, Davis M, Collins J. Using the School Environment to Promote Physical Activity and Healthy Eating. Preventive Medicine. 2000;31(2):S121–S137. [Google Scholar]
- 2.Goran M, Reynolds K, Lindquist C. Role pf physical activity in the prevention of obesity in children. International Journal of Obesity. 1999;23:S18–S33. doi: 10.1038/sj.ijo.0800880. [DOI] [PubMed] [Google Scholar]
- 3.Kahn EB, Ramsey LT, Brownson RC, et al. The Effectiveness of Interventions to Increase Physical Activity: A Systematic Review. American Journal of Prevenative Medicine. 2002;22(4S):73–107. doi: 10.1016/s0749-3797(02)00434-8. [DOI] [PubMed] [Google Scholar]
- 4.Hillman CH, Erickson KI, Kramer AF. Be Smart, excercise your heart: exercise effects on brain and cognition. Science and Society. 2008;9:58–65. doi: 10.1038/nrn2298. [DOI] [PubMed] [Google Scholar]
- 5.Tomoporowski PD, Davis CL, Miller PH, Naglieri JA. Ecercise and Children’s Intelligence, Cognition, and Academic Achievement. Educational Psychology Review. 2007;20(2):111–131. doi: 10.1007/s10648-007-9057-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Services USDoHaH. Healthy People 2010. Vol. 1. Washington DC: U.S. Government Printing Office; 2000. [Google Scholar]
- 7.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999–2010. JAMA. 2012 Feb 1;307(5):483–490. doi: 10.1001/jama.2012.40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wang YC, Orleans CT, Gortmaker SL. Reaching the healthy people goals for reducing childhood obesity: closing the energy gap. Am J Prev Med. 2012 May;42(5):437–444. doi: 10.1016/j.amepre.2012.01.018. [DOI] [PubMed] [Google Scholar]
- 9.Cardon G, De Clercq D, De Bourdeaudhuij I, Breithecker D. Sitting habits in elementary schoolchildren: a traditional versus a “Moving school”. Patient Education and Counseling. 2004;54(2):133–142. doi: 10.1016/S0738-3991(03)00215-5. [DOI] [PubMed] [Google Scholar]
- 10.Bower JK, Hales DP, Tate DF, Rubin DA, Benjamin SE, Ward DS. The childcare environment and children’s physical activity. Am J Prev Med. 2008 Jan;34(1):23–29. doi: 10.1016/j.amepre.2007.09.022. [DOI] [PubMed] [Google Scholar]
- 11.Story M, Nanney MS, Schwarts MB. Schools and Obesity Prevention: Creating School Environments and Policies to Promote Healthy Eating and Physical Activity. The Milbank Quarterly. 2009;87(1):71–100. doi: 10.1111/j.1468-0009.2009.00548.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sallis JF, McKenzie TL, Alcaraz JE, Kolody B, Faucette N, Hovell M. The effects of a 2-year physical education program (SPARK) on physical activity and fitness in elementary school students. American Journal of Public Health. 1997;87:1328–1334. doi: 10.2105/ajph.87.8.1328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Viskic-Stalec N, Stalec J, RK, DP, DK The impact of dance-aerobics training on the morpho-motor status in female high-schoolers. Collegium Antropologicum. 2007;31:259–266. [PubMed] [Google Scholar]
- 14.Carlson SA, Fulton JE, Lee SM, et al. Physical education and academic achievement in elementary school: data from the early childhood longitudinal study. Am J Public Health. 2008 Apr;98(4):721–727. doi: 10.2105/AJPH.2007.117176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Coe DP, Pivarnik JM, Womack CJ, Reeves MJ, Malina RM. Effect of physical education and activity levels on academic achievement in children. Med Sci Sports Exerc. 2006 Aug;38(8):1515–1519. doi: 10.1249/01.mss.0000227537.13175.1b. [DOI] [PubMed] [Google Scholar]
- 16.Nicholson H, Kehle TJ, Bray MA, Heest JV. The effects of antecedent physical activity on the academic engagement of children with autism spectrum disorder. Psychology in the Schools. 2011;48(2):198–213. [Google Scholar]
- 17.Sallis JF, McKenzie TL, Kolody B, Lewis M, Marshall S, Rosengard P. Effects of Health-Related Physical Education on Academic Achievement: Project SPARK. Research Quarterly for Exercise and Sport. 1999;70(2):127–134. doi: 10.1080/02701367.1999.10608030. [DOI] [PubMed] [Google Scholar]
- 18.Pellegrini AD, Huberty PD, Jones I. The Effects of Recess Timing on Children’s Playground and Classroom Behaviors. American Educational Research Journal. 1995;32(4):845–864. [Google Scholar]
- 19.Lanningham-Foster L, Foster RC, McCrady SK, et al. Changing the school environment to increase physical activity in children. Obesity (Silver Spring) 2008 Aug;16(8):1849–1853. doi: 10.1038/oby.2008.282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Donnelly JE, Greene JL, Gibson CA, et al. Physical Activity Across the Curriculum (PAAC): a randomized controlled trial to promote physical activity and diminish overweight and obesity in elementary school children. Prev Med. 2009 Oct;49(4):336–341. doi: 10.1016/j.ypmed.2009.07.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Naylor P-J, Macdonald HM, Warburton DE, Reed KE, McKay HA. An active school model to promote physical activity in elementary schools: action schools! BC. British Journal of Medicine. 2008;42(5):338–343. doi: 10.1136/bjsm.2007.042036. [DOI] [PubMed] [Google Scholar]
- 22.Levine JA, Vander Weg MW, Hill JO, Klesges RC. Non-Exercise Activity Thermogenesis: The Crouching Tiger Hidden Dragon of Societal Weight Gain. Arterisclerosis, Thrmbosis, and Vascular Biology. 2006;26(4):729–736. doi: 10.1161/01.ATV.0000205848.83210.73. [DOI] [PubMed] [Google Scholar]
- 23.Biddle SJ, Gorely T, Stensel DJ. Health-enhancing physical activity and sedentary behaviour in children and adolescents. J Sports Sci. 2004 Aug;22(8):679–701. doi: 10.1080/02640410410001712412. [DOI] [PubMed] [Google Scholar]
- 24.Benden ME, Blake JJ, Wendel ML, Huber JCJ. The Impact of Stand-Biased Desks in Clssrooms on Calorie Expenditure in Children. American Journal of Public Health. 2011;101(8):1433–1436. doi: 10.2105/AJPH.2010.300072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Benden ME, Wendel ML, Jeffrey CE, Zhao H, Morales ML. Within-Subjects Analysis of the Effects of a Stand-Biased Classroom Intervention on Energy Expenditure. Journal of Excercise Physiology. 2012;15:9–19. [Google Scholar]
- 26.Benden ME, Pickens A, Shipp E, Perry J, Schnieder D. Assessing school based childhood obesity interventions for posture and comfort effects. Health. 2013;5:54–60. [Google Scholar]
- 27.Koepp GA, Snedden BJ, Flynn L, Puccinelli D, Huntsman B, Levine JA. Feasibility Analysis of Standing Desks for Sixth Graders. ICAN: Infant, Child, & Adolescent Nutrition. 2012;4(2):89–92. [Google Scholar]
- 28.Blake JJ, Benden ME, Wendel ML. Using stand/sit workstations in classrooms: lessons learned from a pilot study in Texas. J Public Health Manag Pract. 2012 Sep-Oct;18(5):412–415. doi: 10.1097/PHH.0b013e3182215048. [DOI] [PubMed] [Google Scholar]
- 29.Shapiro ES. Academic Skills Problems. 4. New York, NY: The Guilford Press; 2010. [Google Scholar]
- 30.Vile Junod RE, DuPaul GJ, Jitendra AK, Volpe RJ, Cleary KS. Classroom observations of students with and without ADHD: Differences across types of engagement. Journal of School Psychology. 2006;44(2):87–104. [Google Scholar]
- 31.Volpe RJ, DiPerna JC, Hintze JM, Shapiro ES. Observing Studenting in Classroom Settings: A Review of Seven Coding Schemes. School Psychology Review. 2005;34(4):454–474. [Google Scholar]
- 32.Amato-Zech NA, Hoff KE, Doepke KJ. Increasing on-task behavior in the classroom: Extension of self-monitoring strategies. Psychology in the Schools. 2006;43(2):211–221. [Google Scholar]
- 33.DiPerna JC. Academic enablers and student achievement: Implications for assessment and intervention services in the schools. Psychology in the Schools. 2006;43(1):7–17. [Google Scholar]
- 34.Laird NM, Ware JH. Random Effects Model For Longitudinal Data. Biometrics. 1982;38:963–974. [PubMed] [Google Scholar]