Notes on Psychological Assessment: Interviews, Testing, Observations, and DSM-5-TR

Interviews, measures, observations, and the DSM-5-TR: a comprehensive map of clinical assessment approaches and their limits

Interviews and response validity

• Many symptom inventories (e.g., MOPI) tend to endorse more symptoms or rely on responses that may not reflect actual functioning.
• Be mindful of face validity and what motivates respondents to answer in a professional/help-seeking context.
• Beck Depression Inventory (BDI) is historically one of the strongest depression measures.
  • Suicidal ideation item (example from the transcript):
  • I have no thoughts of killing myself.
  • I have thoughts of killing myself.
  • I would like to kill myself.
  • I would kill myself if I had the chance.
  • If a higher total score appears, the person is more likely to meet criteria for depression.
• Suicidality requires clinician awareness and safety planning if ideation is endorsed.
• Honest responding can be variable; response validity depends on why the person is there and their motivation.
• People may choose to disclose or to validate feelings by selecting boxes, sometimes in the expectation of receiving help.
• In many contexts, more people may answer honestly when seeking help than one might expect.
• The transcript notes an emphasis on face validity and the motivational context of responses.

Projective tests, personality inventories, and response inventories

• The lecture distinguishes among different test families: projectives, structured personality inventories, and response inventories.
• These categories come before psychophysiological tests in the ordering of discussion.

Psychophysiological tests

• Aim: measure physiological responses to infer psychological states.
• Examples mentioned:
  • Mood rings (literally changing color with skin temperature/hand warmth).
  • Galvanic skin response (GSR): changes in skin conductance related to arousal.
  • Temperature and blood pressure measures (overall physiological correlates of arousal or anxiety).
• The fight-or-flight mechanism explains why extremities may get cooler and why skin conductance may rise with arousal.
• Important caveat: physiological measures are correlational, not definitive indicators of specific mental states.
• Lie detection (polygraph) basics:
  • Baseline: establish truth-telling baseline with neutral questions (e.g., “What day is today?”).
  • Then compare with deceptive responses; lie is presumed to elevate physiological arousal.
  • In practice, polygraphs are controversial and not perfectly reliable; they measure arousal, not truth per se.
• Limitations and reliability concerns:
  • Some people (e.g., anxious individuals) may show elevated arousal even when telling the truth.
  • Some groups may not show a clear lie response (e.g., individuals with antisocial personality disorder) due to lack of typical fight-or-flight arousal.
  • Polygraphs can be subject to countermeasures and cheating; therefore, they are not universally accepted as definitive evidence.
• Legal context:
  • Historically used in court; current practice varies by jurisdiction and law; defense may request polygraph testing, while prosecutions are less likely to rely on it due to legal standards and reliability concerns.
• Clinical takeaway: polygraphs and other psychophysiological tests are tools with limited reliability; should not be treated as definitive indicators of truthfulness.

Neurological and neuropsychological testing

• Neurological tests look at brain structure and function indirectly through imaging and electrophysiology:
  • EEG: electroencephalogram (brainwave activity).
  • PET: positron emission tomography (functional imaging with radioactive tracer).
  • CAT: computed axial tomography (brain structure via X-ray imaging).
  • MRI: magnetic resonance imaging (highly detailed brain structure images).
• Neuropsychological testing focuses on cognitive and perceptual-motor functions to infer brain integrity and function:
  • Bender Visual Motor Gestalt test (drawing and memory tasks) to assess visual-spatial skills and potential dementia indicators.
  • These tests are useful as general screening tools rather than definitive diagnoses.
• Overall interpretation: these tools provide indirect evidence about brain function and are complemented by clinical interviews and other data.

IQ testing and the debate about intelligence measures

• IQ tests have a controversial history tied to labeling, but modern administration emphasizes standardized procedures and reliability.
• Common Wechsler scales:
  • WAIS (Wechsler Adult Intelligence Scale)
  • WISC (Wechsler Intelligence Scale for Children)
  • WPPSI (Wechsler Preschool and Primary Scale of Intelligence)
  • WASI or similar abbreviated forms are often used for quick estimates.
• What the tests assess:
  • Verbal ability
  • Nonverbal ability
  • Processing speed
  • Working memory
• Important caveats:
  • Depression, stress, or anxiety can depress or inflate IQ scores, especially on verbal components.
  • Verbal subtests can show cultural or linguistic bias.
  • A single overall IQ score is a composite and may mask differences across domains; many argue for reporting multiple indices rather than one summary value.
  • The broader concept of intelligence includes non-cognitive aspects (e.g., emotional intelligence, social functioning) not captured by a single IQ score.
• Content validity concerns and historical context:
  • The New Caledonia IQ example used in class illustrates that a single score can reflect test design or content emphasis (e.g., awareness of current events during WWII) rather than pure intelligence.
  • The 3D view of intelligence (three-dimensional sphere analogy) emphasizes that a single two-dimensional score may not capture the full construct of intelligence, particularly for neurodivergent individuals or those with differing cognitive profiles.
• Practical and ethical implications:
  • IQ tests are tools for understanding cognitive strengths and weaknesses, not verdicts on worth or ability.
  • It is important to avoid using IQ as the sole determinant for life outcomes (education, employment); consider multiple data sources.
• Emotional and social factors not captured by IQ:
  • EQ (emotional intelligence) is distinct from IQ and reflects understanding and managing emotions in oneself and others.
  • The speaker notes that emotions and social-contextual functioning are not well represented in standard IQ testing.
• Summary point:
  • IQ tests are valuable for identifying cognitive profiles and informing accommodations, but a single score should not define a person’s capabilities or potential. Use should be contextualized within a broader assessment framework.

Interviews to interviews-plus: structure, unstructured, and self-report integration

• Transition from structured interviews to unstructured interviews adds depth but can reduce reliability if not standardized.
• The interviewer’s theoretical orientation influences data collection and interpretation (biological, behavioral, cognitive, etc.).
• Patient versus client language reflects different theoretical and clinical orientations: medical/psychiatric (patient) vs. humanistic/psychosocial (client).
• The data collected from interviews feeds into the diagnostic process, but neither interviews nor tests alone determine diagnosis.

Clinical observations: naturalistic, structured, and self-monitoring

• Naturalistic observation:
  • Observing behavior in real-life settings (e.g., a classroom) can yield authentic data but is highly reactive: the presence of an observer can change behavior (observer effect).
  • Difficult to implement in busy clinical settings; observations can be expensive and time-consuming.
  • Rating scales used in natural settings often involve multiple informants (teachers, parents, self-rate) to improve reliability.
• Structured observation:
  • Observers are trained to use predefined criteria and procedures to minimize variability.
• Self-monitoring:
  • Clients monitor and report their own behaviors or symptoms, useful for adolescence and older.
• Strengths and weaknesses of observational methods:
  • Inter-rater reliability is crucial: different raters must interpret and rate behaviors in the same way.
  • Reliability can suffer from vague definitions, observer drift (over time, what counts as a target behavior may change), and insufficient rater training.
  • Validity can be compromised by overload (too much data to process) or insufficient training.
• The clinical picture is assembled from multiple data sources and guided by a clinician’s theoretical orientation.

Theory and diagnosis: orientation, language, and the DSM-5-TR

• Theoretical orientation shapes diagnostic thinking and treatment planning:
  • Biological orientation often aligns with medical/psychiatric approaches and pharmacotherapy considerations.
  • Behavioral orientation emphasizes observable actions and learning histories.
  • Cognitive orientation focuses on thought patterns and information processing.
  • Psychoanalytic and other lenses may influence terminology (patient vs. client) and interpretive emphasis.
• DSM-5-TR (Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, Text Revision):
  • Current official classification framework used in many settings.
  • DSM-5-TR reflects approximately $540$ disorders and their symptom criteria.
  • Lists symptoms necessary for diagnosis; comorbidity is common (multiple diagnoses in one person).
  • Some diagnoses are mutually exclusive (e.g., bipolar I vs bipolar II are often treated as distinct diagnoses, though comorbidity and differential diagnoses exist in practice).
  • DSM-5-TR eliminated the previous axial structure of DSM-IV-TR (which had five axes) and moved to a unified list with specifiers and dimensional assessments.
  • Reliability and validity remain central concerns: clinicians may be asked to demonstrate that diagnoses would be consistent across independent evaluators.
• Reliability tests for DSM diagnoses:
  • A common method: have multiple clinicians independently diagnose cases based on the same information to assess inter-rater reliability.
  • In general, DSM-5-TR is more reliable than many earlier systems, but some diagnostic areas still lack clear boundaries.
• Controversies and political aspects:
  • Controversy around autism spectrum disorders: the delineation between Asperger’s and high-functioning autism raised concerns about discriminative validity and access to services.
  • The move toward spectrum conceptualization can affect service eligibility and funding—diagnostic boundaries have practical consequences beyond clinical description.
• Symptom-driven and dimensional perspective:
  • Mental illnesses are often symptom-driven and exist along a continuum rather than as strict categories.
  • Example: Depression requires at least $5/9$ symptoms to meet criteria; having fewer does not neatly rule out depression, and severity varies along a continuum.

Putting it together: clinical formulation and future directions

• The clinician integrates data from interviews, testing, and observations into a clinical picture, guided by theoretical orientation and DSM-5-TR criteria.
• The process involves forming diagnoses, considering comorbidity, and planning treatment and supports.
• The session ends with the plan to continue, including deeper exploration of diagnostic categories and how to build a comprehensive formulation.
• Final emphasis: tools (interviews, tests, observations) are aids to understanding, not ultimate determinants of a person’s identity or potential. Use them critically, ethically, and in service of helping the person.

Key takeaways for exam preparation

• Be aware of the strengths and limits of common assessment tools (BDI, polygraphs, neuroimaging, IQ tests, observational methods).
• Understand face validity, inter-rater reliability, validity, and reliability as core psychometric concepts.
• Recognize the ethical implications of assessments (e.g., suicide risk management, cultural bias in testing, potential misuse of IQ data).
• Know the DSM-5-TR framework: roughly 540 disorders, symptom-based criteria, comorbidity, and the removal of the DSM-IV-TR axis structure; understand issues around reliability and validity and the spectrum approach to certain conditions (e.g., autism).
• Appreciate the role of theoretical orientation in guiding assessment and diagnosis, including language choices (patient vs. client).
• Remember: a diagnosis is a clinical formulation assembled from multiple data sources, not a single test result.

Questions you might anticipate on this topic

• How do face validity and context influence honest responding on self-report measures?
• Why are polygraphs controversial, and in what contexts might they still be used or requested?
• What are the major imaging modalities in neurology/neuropsychology, and what can they tell you about brain function?
• What are the primary components of the Wechsler IQ scales, and why might a single IQ score be insufficient for describing intelligence?
• How does observer expectation and the presence of an observer impact naturalistic observations?
• How does DSM-5-TR address reliability and sequencing of diagnoses, and what are some current debates in diagnostic boundaries (e.g., autism spectrum disorders)?

Next topics to cover (as indicated in the lecture): explore the different diagnostic categories in more detail and how to build a clinical formulation from the data collected, followed by more on how theoretical orientation guides interpretation and treatment planning.