Abstract
This brief report adds to the growing body of evidence for validity and reliability of the Evaluation in Ayres Sensory Integration® Praxis tests. Assessment of praxis using valid and reliable measures is important for understanding factors affecting occupational participation.
Praxis is the ability to create ideas for action and to plan novel actions (Ayres, 2011); it is “the basis for dealing with the physical environment in an adaptive way . . . dressing, eating with utensils, playing, writing, building, driving an automobile, changing the physical environment to meet a purposeful goal, and making a living” (Ayres, 2011, p. 44). In short, successful occupational performance depends on praxis (Ayres, 2005).
Ayres (2011) theorized that praxis requires sensory perception, integrated with cognitive and motor functions. Research has supported this theory by identifying the association between sensory–motor skills and metacognitive abilities, such as praxis (Pratt et al., 2014; Toussaint-Thorin et al., 2013; Wilson et al., 2013). Motor skills, and also neurocognitive domains (e.g., metacognitive abilities), emerge during early childhood and then strengthen significantly during late childhood and adolescence (Anderson & Krathwohl, 2001; Best & Miller, 2010; Best et al., 2009; Roalf et al., 2014), suggesting that the motor and neurocognitive components on which praxis is based likely continue to develop into early adolescence.
A recognition of the prevalence of praxis challenges among autistic people is emerging (Brincker & Torres, 2017; Mostofsky et al., 2006; Mostofsky & Ewen, 2011; Shield et al., 2017; Siaperas et al., 2012; Srinivasan et al., 2013), with the impact of praxis difficulties on participation especially noteworthy for this population (Bodison, 2015; Dziuk et al., 2007; Smith Roley et al., 2015). The assessment of praxis is a key component of the Ayres Sensory Integration® (ASI) approach, which addresses the underlying sensory–motor factors affecting participation in daily activities and tasks (Ayres, 2005; Schaaf & Mailloux, 2015). ASI is an evidence-based intervention (Steinbrenner et al., 2020) that includes a comprehensive assessment of the sensory– motor factors affecting participation, including praxis. Moreover, the American Occupational Therapy Association’s contributions to the Choosing Wisely® (https://www.choosingwisely.org/) initiative (Gillen et al., 2019) underscore the need for assessment as part of best practice for occupational therapy practitioners, specifying that occupational therapy practitioners should not “provide sensory-based interventions to individual children or youth without documented assessment results of difficulties processing or integrating sensory information” (Gillen et al., 2019, p. 5).
Ayres (1980, 1989) developed the first tests to measure praxis in children, including Imitation of Postures (later modified and renamed Postural Praxis), Oral Praxis (planning simple sequences of oral movements), Sequencing Praxis (imitating sequences of arm and hand movements), Praxis on Verbal Command (following verbal instructions to demonstrate body positions and actions), and Constructional Praxis (replicating a three-dimensional block structure). These tests, which are part of the Sensory Integration and Praxis Tests (SIPT; Ayres, 1989), became the gold standard for assessing praxis in children. However, the SIPT cover a relatively narrow age range, and the normative sample includes only North American children. Moreover, the cost of obtaining training for and administering and interpreting SIPT results make their use prohibitive in many parts of the world. Given these factors (and also that the SIPT have not been revised in more than 30 yr), updated, reliable, valid, and accessible praxis tests are needed that also consider additional aspects of this important function.
To address this need, Mailloux et al. (2018) created the Evaluation in Ayres Sensory Integration® (EASI), consisting of 20 sensory and motor tests, 4 of which measure distinct aspects of praxis. The EASI are designed to address some of the gaps in current assessment of praxis in children, including being made available at very low cost, having international norms, and including a test that assesses ideational praxis, which was not assessed by the SIPT. The development of the EASI has been reported elsewhere (Gándara-Gafo et al., 2021; Holmlund & Orban, 2021 ; Mailloux et al., 2018), and construct validity and internal reliability of other EASI tests have been reported (Lamash et al., 2022 ; Mailloux et al., 2021; Schaaf et al., 2023). The purpose of this study is to report evidence for construct validity and internal reliability of data gathered with four praxis tests: Praxis: Positions, Praxis: Sequences, Praxis: Following Directions, and Praxis: Ideation.
Method
We used a comparative descriptive research design with two groups. Approval for the study was obtained through the Thomas Jefferson University institutional review board.
Participants
We recruited a convenience sample of children from the continental United States. In total, 308 children, ages 3 to 12 yr, participated: 163 children with no known medical or educational concerns (control group); 76 boys and 87 girls; M age = 7.87 yr) and 145 children with sensory integration difficulties (SI group); 49 boys and 96 girls; M age = 7.91 yr). Testers recruited the control group from their social and professional networks (e.g., churches, extended family, neighbors, schools), and testers recruited the SI group from therapy practices. Groups differed significantly for gender, with the SI sample including significantly more male children, χ2(1) = 10.43, p = .001; groups did not differ significantly for age, t(306) = 0.14, p = .88. We did not record race, ethnicity, or socioeconomic status.
Inclusion criteria were (1) chronological ages 3 yr, 0 mo to 12 yr, 11 mo and (2) English as the primary language. We included children in the control group if their parents reported that they performed within age expectations and had no medical or educational diagnosis. We excluded children with medical concerns, with behaviors suggestive of sensory integration deficits, or who had received prior sensory integration intervention. We also excluded children with physical or intellectual disabilities or uncorrected vision or hearing deficits. We included children in the SI group who were identified with sensory integration difficulties on the basis of clinical records that included assessment by an occupational therapist, physical therapist, or speech-language pathologist using the SIPT, Sensory Processing Measure (Parham et al., 2007), or Sensory Profile (Dunn, 1999). Children in the SI group had a variety of medical or educational diagnoses (e.g., autism spectrum disorder, attention deficit hyperactivity disorder, speech or language delay, anxiety disorder, or a regulatory disorder), but we excluded children with physical or intellectual disabilities or uncorrected vision or hearing deficits.
Procedures
Examiners included 67 occupational therapists, 1 physical therapist, and 1 speech-language pathologist. All were trained to competence in the ethical conducting of research and EASI test administration via online training modules. Examiners obtained parental consent (and assent from participants age 7 yr or older).
Instruments
The EASI Praxis tests are detailed in Table 1.
Description of the EASI Praxis Tests
Note. EASI = Evaluation in Ayres Sensory Integration®.
Data Analysis
We used WINSTEPS (Version 4.5.2) to conduct iterative Rasch analyses that led to revisions to items and scoring structure. The Rasch model is a latent-trait psychometric model that constructs linear measures from ordinal raw data. It generates item-difficulty and person-ability measures along a single, unidimensional line, expressing measures in “logits” (i.e., log-odds probability units; for a complete description, see Bond et al., 2020).
Results of Rasch iterative analyses led us to eliminate 20 items from Praxis: Positions, 17 items from Praxis: Sequences, and 24 items from Praxis: Following Directions. We removed most of these items because they had similar difficulty levels and, therefore, added little valuable content. For Praxis: Following Directions, we initially scored children on both accuracy and time to complete each item; however, our analyses suggested that time was not a strong aspect of the construct, so we removed these scores. On Praxis: Ideation, we originally included a quality category called “initiation” (i.e., the amount of time to begin acting). We removed this category. Additionally, we converted the total tally score to a 3-point scale on the basis of the total actions demonstrated. Notably, we did not remove all items that failed to fit the model (see the Results section for details on final item fit). Some misfit is expected, and any misfitting items did not degrade or detract from the measurement system (Linacre, 2002).
Here, we report evidence for construct validity and internal reliability of data collected with the retained items. We complemented Rasch procedures with classical statistical methods (e.g., Cohen’s d, Cronbach’s α). We did not correct p values for multiple comparisons because of the exploratory nature of this study.
Analysis of Construct Validity
We evaluated four Rasch-generated indicators of construct validity (presented next).
Positive point-measure correlations.
Positive point-measure correlations represent the extent to which item scores increased as overall test scores increased.
Goodness-of-fit statistics.
Goodness-of-fit statistics represent the degree to which data conformed to Rasch model expectations expressed as mean-square (MnSq) and Zstd values. MnSq values indicate the degree of randomness in the measurement system; Zstd values indicate the improbability of the data if the data fit the model perfectly (Linacre, 2002). Both MnSq and Zstd statistics are reported as infit (weighted, or inlier sensitive) and outfit (unweighted) statistics. In a well-fitting Rasch model, 95% of items demonstrate MnSq values between 0.5 and 1.5 and Zstd values between −2 and +2. If both criteria were violated for either infit or outfit for any item, we considered the item as failing to conform to Rasch expectations. When a single misfitting item could result in less than 95% fit, we expected no more than one item to fail to fit the model.
Rating scales.
Rating scales represent the extent to which all categories (e.g., 0, 1, 2) were used at least 10 times and progressed logically (i.e., lower–higher item scores associated with lower–higher average measure scores). When either was violated, we considered collapsing rating scales.
Wright maps.
Wright maps represent the match between sample ability and item difficulty.
In addition to Rasch analysis, we used known-groups analyses to evaluate data on each test for evidence of construct validity. Because the control and SI groups did not differ on the basis of age and because data were distributed relatively normally, we used Student’s t tests. We expected children in the control group to score significantly higher on all tests than children in the SI group (α = .05). To evaluate effect sizes, we calculated Cohen’s d. We considered d values ≥0.8 to represent large effects, values ranging from 0.5 to 0.8 to represent medium effects, and values ranging from 0.2 to 0.5 to represent small effects (Cohen, 1988). We expected medium to large effects between groups.
Analysis of Internal Reliability
We evaluated three indicators of internal reliability (presented next).
Rasch-generated person-reliability indices.
Rasch-generated person-reliability indices were used to examine reproducibility of relative measure locations (Linacre, 2017). We considered person-reliability indices ≥0.8 to indicate adequate internal reliability.
Strata values.
Strata values were used to examine the number of performance levels that each test distinguished reliably. We determined strata on the basis of WINSTEPS-generated, person-separation indices using the following formula: , where G = person-separation index (Linacre, 2017). Ordinarily strata ≥2 indicate adequate internal reliability (i.e., separate good from poor performers). However, because we assumed performance on these tests would increase with age, we sought at least 3 strata as a reflection of adequate internal reliability.
Cronbach’s α for each test.
We considered α ≥ .70 to indicate adequate internal reliability and α ≥ .80 to indicate strong internal reliability (Gliner et al., 2017).
Results
Construct Validity
Table 2 contains summary Rasch statistics for the four tests. Table A.1 in the Supplemental Appendix (available online with this article at https://research.aota.org/ajot) provides item measures and fit statistics. All tests had uniformly positive point-measure correlations. For Praxis: Positions, 95.6% of items fit the model (i.e., one item failed to fit). For Praxis: Sequences, 96.3% of items fit the model (i.e., one item failed to fit). For Praxis: Following Directions, all accuracy items fit the model. For Praxis: Ideation, all items fit the model. Rating scales for all tests progressed appropriately; all categories were used at least 10 times for each item. Visual examination of Wright maps (see Figures A.1–A.4 in the Supplemental Appendix) indicated adequate item spread and match between sample ability and item difficulty.
Rasch Model Summary Statistics
Note. MnSq = mean-square.
Table 3 contains the results of known-groups analyses for accuracy and time scores. The control group scored significantly higher on each test, suggesting stronger praxis ability. Effect sizes for total test accuracy across all tests were mostly medium (i.e., >0.50). Effect sizes were somewhat smaller for Praxis: Ideation, although still ≥0.30.
Known-Groups Analyses
Note. SI = group of children with sensory integration difficulties.
Internal Reliability
Table 4 provides the results of reliability analyses. For all tests, Cronbach’s α values were ≥.70. Total scores for each test exceeded our desired α threshold of .80. Rasch person-reliability indices were ≥.87; strata ranged from 3.78 to 4.65.
Internal Reliability
Discussion
Our findings demonstrate strong evidence for construct validity and internal consistency of data gathered with the EASI Praxis tests. Given that praxis is an important area for occupational therapy assessment (Cermak & May-Benson, 2020) and that assessment is the foundation for intervention, the EASI Praxis tests will contribute both to the understanding of praxis and to creating interventions to support participation in everyday activities and routines. This result may be particularly important for assessment and intervention planning for autistic children (Smith Roley et al., 2015).
These results add to the growing body of research on the psychometric strength of the full set of EASI tests (Lamash et al., 2022; Mailloux et al., 2021 ; Schaaf et al., 2023). Moreover, the EASI tests hold promise for illuminating relationships between foundational sensory–motor functions, such as praxis, and important occupational concerns, such as participation and engagement.
The EASI will be available to trained therapists at a low cost, helping to improve access to high-quality assessment for children, regardless of socioeconomic resources. In addition, the EASI will cover a wider age range than current tests and will have an international normative sample. Moreover, the EASI Praxis tests add ideational praxis and ocular praxis measures for children to currently available tools. These parameters provide an important step toward expanded access to individualized and effective occupational therapy services worldwide. The fact that many of the earliest publications related to the EASI involve international samples (Gándara-Gafo et al., 2021; Holmlund & Orban, 2021; Lamash et al., 2022) demonstrates that these assessments have potential for supporting broad, global communities.
Limitations and Future Directions
A limitation of this study is that participating children were a convenience sample and, thus, may not be representative of all populations. In addition, because we did not record race, ethnicity, or socioeconomic status, we were not able to explore the potential impact of these variables on the children’s performance. The normative data collection will include this demographic information, and it is recommended that future studies report these variables. In studies currently underway, we are collecting data from representative samples of children ages 3 to 12 yr from across the world. A second limitation is that, because of the relatively small sample size, we could not stratify results by age, race, diagnostic group, or other demographic variables; thus, it is not possible to determine whether normative data will differ on the basis of these variables. Future studies will allow further exploration of these variables. Additional studies related to test–retest and interrater reliability, as well as congruent validity comparing the EASI Praxis tests with tests such as the SIPT and the Sensory Processing Measure, are also needed.
The EASI Praxis tests currently comprise more than 100 items. In the future, we intend to decrease assessment burden on children by adopting methods to ensure that only the most salient items are administered. Several strategies may support this aim. Computer adaptive testing (CAT) is a promising methodology that uses item response theory (e.g., Rasch analysis) to estimate scores with only the most relevant items on the basis of the child’s age and abilities. This study demonstrates a wide range of item difficulties within each EASI Praxis test; therefore, these tests are suitable candidates for CAT. CAT would require live computer administration and specialized software (i.e., the examiner delivers items while using a mobile device or computer). Although barriers exist with this approach, our team continues to explore the possibility. Alternatively (or in the meantime), we plan to investigate start–stop criteria on the basis of age and response to items. For example, younger children may start at easier items than older children (start criteria). Children may stop after they have missed a set number of consecutive items (stop criteria). This approach is common in assessments that measure developmental constructs.
Implications for Occupational Therapy Practice
This study has the following implications for occupational therapy practice: ▪ These four EASI praxis tests are feasible to administer to children with and without sensory integration concerns. ▪ These four EASI praxis tests demonstrate strong reliability and validity; thus, they can be used with confidence to identify children who have praxis difficulties that interfere with occupations such as play, self-care, and academic work. ▪ Difficulties in praxis often affect participation in daily life for children and their families. Psychometrically sound assessment tools that assess these functions will assist occupational therapy practitioners in implementing effective, individually tailored interventions.
Conclusion
Our findings indicate that the four EASI Praxis tests evaluated in this study are sound measures for identifying meaningful differences in praxis functions for children ages 3 to 12 yr. These results suggest that occupational therapy practitioners can use the EASI Praxis tests in clinical practice with confidence because they produce data that are reliable and valid measures of several aspects of praxis.
Supplemental Material
Supplementary material for Evaluation in Ayres Sensory Integration® Praxis Tests: Construct Validity and Internal Reliability
Supplementary material, sj-pdf-1-aot-10.5014_ajot.2023.050138.pdf for Evaluation in Ayres Sensory Integration® Praxis Tests: Construct Validity and Internal Reliability by Zoe Mailloux, Patricia Grady-Dominguez, Anita Bundy, L. Diane Parham, Susanne Smith Roley, Susan Wieland and Roseann C. Schaaf in The American Journal of Occupational Therapy
Footnotes
Acknowledgments
We thank the testers, families, and children who participated in this study. We also acknowledge statistical assistance from Dr. Ben Leibly of Thomas Jefferson University; Dr. Steven Paul of the University of California, San Francisco; and Rachel Dumont for assistance with ethics board approvals.
References
Supplementary Material
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