NSCA-CPSS study plan
NSCA-CPSS · Give each week a clear focus.
8 weeks · About 6 hours per week
Scientific disciplines
Map the Domain 1 blueprint into a one-page concept inventory covering exercise physiology, biomechanics, motor control, and nutrition
Explain acute cardiovascular, respiratory, and metabolic responses to a single training session in your own written notes
Define 30 core physiology and biomechanics terms with a working example of each in a sport setting
Build a spreadsheet tracking your weekly self-quiz scores by Domain 1 subtopic
Your checkpoint
A one-page Domain 1 concept map plus a 30-term glossary with applied examples
Scientific disciplines
Differentiate chronic adaptations to strength, power, sprint, and endurance training and the mechanisms behind each
Interpret force-velocity and length-tension relationships to justify exercise selection for a chosen sport
Describe energy system contribution across event durations and calculate a sample ATP resupply estimate
Connect sleep, hydration, and fueling principles to measurable performance outcomes
Your checkpoint
A 2-page comparison table of chronic adaptations by training type with mechanism notes
Technology assessment
Classify sport-technology categories (wearables, force plates, GPS, video, AMS, VBT) by the variables they measure
Evaluate validity, reliability, and minimal detectable change for three common monitoring tools
Assess practical constraints of a technology: cost, workflow burden, athlete time, and data governance
Draft criteria for choosing between two candidate tools for the same monitoring purpose
Your checkpoint
A technology assessment rubric with scored evaluations of three tools
Scientific disciplines & Technology assessment
Integrate physiological rationale with technology selection in one applied scenario
Identify when a metric is being misapplied relative to its measurement properties
Write a defensible justification for adopting or rejecting a specific monitoring technology
Complete a timed 40-question mixed Domain 1 and 2 practice set and log error categories
Your checkpoint
A 1-page technology adoption memo citing measurement properties and physiological rationale
Scientific research processes
Sequence the steps of an applied research question from problem identification to dissemination
Distinguish study designs (cross-sectional, cohort, RCT, single-subject) and state what each can and cannot support
Interpret p-values, effect sizes, confidence intervals, and statistical versus practical significance
Appraise internal and external validity threats in a published sport-science study
Apply basic research ethics and informed-consent requirements to an athlete-monitoring study
Your checkpoint
A structured critical appraisal of one published study using a validity and statistics checklist
Scientific research processes & Needs analysis, program design, and context-specific adaptation
Translate a needs analysis into testable hypotheses and select appropriate outcome measures
Design a small monitoring study with sampling, reliability, and analysis decisions specified
Conduct a needs analysis for a chosen sport covering demands, injury profile, and athlete constraints
Map needs-analysis outputs to program variables: volume, intensity, frequency, and progression
Your checkpoint
A needs-analysis document paired with a one-page study design for validating a key metric
Needs analysis, program design, and context-specific adaptation
Periodize an 8-week mesocycle for a chosen athlete using the needs-analysis findings
Adapt programming for a context constraint such as travel, limited equipment, or return-to-play
Specify load-monitoring and readiness metrics with decision rules for adjusting training
Justify program modifications using Domain 1 physiology and Domain 2 measurement evidence
Your checkpoint
An 8-week periodized program with monitoring plan and documented adaptation rules
Scientific disciplines & Technology assessment & Scientific research processes & Needs analysis, program design, and context-specific adaptation
Synthesize all four domains into integrated case answers under time pressure
Re-drill every missed item from prior weeks and articulate why each distractor fails
Complete two full-length timed practice exams and compare domain-level accuracy
Finalize a one-page rapid-review sheet of high-yield concepts and decision frameworks
Your checkpoint
Two completed timed practice exams with an error-analysis log and a final one-page review sheet
Milestones
Week 2: Score at least 80% on a 30-question Domain 1 self-quiz and explain every missed item aloud without notes
Week 4: Produce the technology adoption memo and score at least 75% on the mixed Domain 1 and 2 practice set
Week 6: Complete a full critical appraisal and a needs analysis that a peer reviewer rates as defensible on design and measurement choices
Week 8: Average at least 75% across two full-length timed exams with no domain below 70%