Science and Scientific Methods
- Science = the systematic pursuit of knowledge through observation
- Theory = a set of propositions meant to explain a class of observations o Goal to understand cause-effect relationships
o A good theory is falsifiable *allows for disconfirmation
- Hypotheses = expectations/predictions about what should occur if a theory is true o Must be able to be systematically tested o Focus is on disproving rather than proving
- Scientific approach requires that theory and hypothesis are stated precisely
- Scientific observations must be replicable
- Use assessments with strong validity and reliability to make replication possible Approaches to Research Psychopathology The Case Study
- Case study = most familiar method of observing human behaviour, involves recording detailed info about one person at a time o Covers: developmental milestones, family history, medical history, educational background, employment history, marital history, social adjustment, peer/romantic relationships, personality, environment, etc.
- Lack control and objectivity *validity is questionable
- Clinician’s paradigm will shape the kinds of info reported in a case study
- Uses: (1) provide rich description of a clinical phenomenon, (2) disprove an allegedly universal hypothesis, (3) generate hypotheses that can be tested through controlled research
- Limitations: paradigm may influence observations, cannot rule out alternative explanations, cannot prove hypotheses
- Case Study as a Rich Description:
- Includes much more detail that other research methods o Provide detailed description of how a new intervention works Case Study Can Disprove but Not Prove a Hypothesis:
- Do not provide good enough evidence in support of a particular theory, don’t provide a way to rule out alternative hypotheses
- Data collected from case study doesn’t allow to determine true cause of change Using Case Study to Generate Hypotheses:
- Helps to generate hypotheses for causes/treatments for disorders
The Correlational Method
- Correlational method = variables are measured as they exist in nature
- Different from an experiment during which a variable is manipulated
- Rely on correlational method when cannot do an experiment for ethical reasons
- 4 shapes: positive linear, negative linear, curvilinear, (increases in one variable have both increases and decreases in other), no relationship (straight line) Measuring Correlation:
- Step 1: obtain pairs of observations of the 2 variables in question o Step 2: determine correlation strength using correlation coefficient (r)
Measures magnitude and direction of relationship Higher the absolute value, the stronger the relationship Statistical and Clinical Significance:
- Statistical significance = asserts that a correlation was unlikely to have occurred by chance
- Less than 5 in 100 (due to chance)
- Alpha level = level of significance, p < .05
- Higher r = less likely to have occurred by chance o Not statistically significant correlation does not provide evidence for an important relationship
- Statistical significance influenced by size of relationship between variables AND sample size o Clinical significance = defined by whether a relationship between variables is large enough to matter
- Problems of Causality:
- Correlational designs do not allow determination of causality
- Directionality problem = inability to determine which variable has causal significance o Causes must precede effects *temporal precedence
- Longitudinal design = researcher tests whether causes are present before a disorder has developed
- Studies participants over time o Cross-sectional design = the causes and effects are measured at the same point in time o High-risk method = only evaluates those at high risk for developing the target problem
- Reduces the cost of longitudinal method o Third-variable problem = a third factor might have produced the correlation *confound* o Confound = a variable that produces changes in the 2 correlated variables One Example of Correlational Research: Epidemiological Research:
- Epidemiology = study of the distribution of disorders in a population o Data are gathered about rates of a disorder and its correlated in a large sample o Focuses on 3 features of a disorder:
- 1) Prevalence – the proportion of people with disorder either currently or during their lifetime
- 2) Incidence – the proportion of people who develop new cases of the disorder in some period, usually a year
- 3)Risk factors – variables that are related to the likelihood of developing the disorder o Usually are correlational
- Designed to be representative of the population
- g. National Comorbidity Survey-Replication (large scale national survey, uses structured interviews to collect info on prevalence of several diagnoses) Behaviour and Molecular Genetics:
- Behavioural Genetics = methods to determine genetic predisposition (concordance) to psychopathology o 3 methods to uncover whether a genetic predisposition for psychopathology is inherited: 1) Comparison of members of a family, 2) comparison of pairs of twins, 3) investigation of adoptees
- Family method = used to study genetic predisposition among family members
- *Average number of genes shared by 2 blood relatives is known
- 1st degree share 50%, 2nd degree share 25%
- Concordance = co-occurrence or similarity of diagnosis
- Index cases/probands = persons with the diagnosis in question o Twin method = monozygotic and dizygotic twins are compared
- MZ (identical) – develop from 1 egg, genetically the same
- DZ (fraternal) – develop from separate eggs, share 50% genes
- When MZ concordance is higher than DZ concordance, characteristic is heritable o Adoptees method = studies children who were adopted and reared apart from their biological parents
- Stronger evidence that a disorder is genetic if biological parents and child (who was not raised by bio parents) both have disorder
- Cross-fostering = children are adopted and reared apart from their biological parents
- Adoptive parent has a disorder
- Molecular Genetics:
- Association study = researchers examine the relationship between a specific allele and a trait/behaviour in the population *precise measurement
- Genome-wide association studies (GWAS) = examines entire genome of a large group of people to identify variations between people
- Require very large samples
- Most often look for single nucleotide polymorphisms (SNPs)
The Experiment
- Experiment = involves random assignment of participants to conditions, the manipulation of an IV and the measurement of a DV o Provides info about a causal relationship o Can evaluate treatment effectiveness o Experimental effect = differences between conditions on the DV Internal Validity:
o Internal validity = the extent to which the experimental effect can be attributed to the IV o Control group = does not receive experimental treatment
Shows effects in other group are due to IV o Random assignment helps ensure groups are similar on variables other than the IV External Validity:
- External validity = the extent to which results can be generalized beyond the study Treatment Outcome Research:
- Treatment outcome research = designed to address whether or not treatment works o Moderately positive effect of treatment (75% have some sort of improvement) o Treatment study should include:
- Clear definition of the sample being studied e.g. description of diagnoses
- Clear description of treatment being offered (in a manual)
- Inclusion of a control/comparison treatment method
- Radom assignment
- Reliable/valid outcome measures
- Large enough sample for statistical tests
o Randomized controlled trials (RCTs) = studies in which clients are randomly assigned to receive active treatment of a comparison
IV is treatment, DV is patient outcome
- Defining the Treatment Condition: The Use of Treatment Manuals:
- Treatment manuals = detailed books on how to conduct a particular psyc treatment o Provide specific procedures for therapist to follow at each stage of treatment o Help therapist achieve greater uniformity in how they conduct therapy Defining Control Groups:
- No-treatment control group = allows researchers to test whether the mere passage of time helps as much as treatment does
- Placebo = a pretend treatment, uses the power of suggestion, allows researchers to control for expectations of a symptom relief
- Active-treatment control group = researchers compare new treatment against a well-tested treatment
- Double-blind procedure = psychiatrists and patient are not told whether the patient received active medication or placebo *reduces bias in evaluating outcomes
- Placebo effect = a physical or psyc improvement that is due to the patient’s expectations of help rather than to any active ingredient in a treatment Defining a Sample:
- Often there is a failure to include people from diverse cultural/ethnic backgrounds o People from minority groups are about half as likely to receive mental health treatment Assessing How Well Treatments Work in the Real World:
- Efficacy = whether a treatment works under the purest of conditions o Effectiveness = how well the treatment works in the real world The Need for Dissemination of Treatment Outcome Findings:
- Dissemination = the process of facilitating adoption of efficacious treatments in the community
Most typically by offering clinicians guidelines about the best available treatments along with training on how to conduct those treatments Analogue Experiments:
- Analogue experiment = investigators attempt to create/observe a related phenomenon (an analogue) in the laboratory to allow more intensive study
- Can obtain results with good internal validity, less external validity o Single-Case Experiments:
Single-case experiments = experimenter studies how one person responds to manipulations of the IV *high internal validity
- Lack of external validity
- Just because treatment works for one person doesn’t mean it will work for another
Reversal design (ABAB design) = participant’s behaviour must be carefully measured in a specific sequence (baseline, treatment intro, reinstatement of baseline, reintroduction of treatment)
- No control group, but time period of baseline serves as control aspect
Integrating the Findings of Multiple Studies
- Meta-analysis = thorough literature search, followed by putting together all the results into a common scale, using effect size
- Criticism: sometimes include studies of poor quality