BCBA® Section C (C.7–C.12) Explained | 6th ed. Validity, Reliability & Graphing
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BCBA® Section C (C.7–C.12) Explained | 6th ed. Validity, Reliability & Graphing
1 265 просмотров · 9 месяцев назад
BCBA Mock Exam
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1 265 просмотров · 9 месяцев назад
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00:00 Intro – Section C (C.7–C.12) Overview
01:41 C-7 Efficiency (Trials to Criterion, Training Duration, Cost–Benefit)
03:15 C-8 Validity & Reliability
• Direct vs indirect validity
• Test–retest, interrater reliability
• IOA and common calculation errors
05:03 C-9 Selecting Measures Under Constraints
• Time, staff, and budget limitations
• Balancing practicality with accuracy
06:17 C-10 Graphing Essentials
• Equal-interval graphs
• Bar graphs vs cumulative records
07:52 C-11 Interpreting Graphed Data
• Level, trend, variability, overlap
• Visual analysis vs statistical tests
10:06 C-12 Procedural Integrity
• Accuracy, dosage, exposure
• Impact on treatment effectiveness
• Improving fidelity through training & feedback
12:24 Summary & Next Steps
Domain C (C.7–C.12) covers the measurement, graphing, and data-interpretation skills that appear across the entire BCBA® exam.In this lesson, we break down efficiency measures (trials to criterion, training duration), validity vs reliability, choosing the best measurement system under real-world constraints, graph types, visual interpretation (level, trend, variability, overlap), and procedural integrity.
Using visuals from the study guide — including the Domain C roadmap on page 3, the efficiency model on page 4, equal-interval vs cumulative record graphs on pages 12–13, and interpretation examples on pages 15–17 — we walk through exactly how these concepts appear on exam questions and how to avoid common traps such as measurement drift, observer bias, misapplied dimensions, and over/under-interpreting graph patterns.
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