Research Methods in the Biological Level of Analysis Rida Aamer & Haris Saud Learning Outcome: Discuss how and why particular research methods are used at the BLOA. Key Terms Defined Experiment: A quantitative research method in which a cause-and-effect relationship between two variables is established. Independent variable is the variable that is deliberately manipulated and causes a change in the dependent variable. The independent variable has two or more conditions, one of which is the control condition. Example: An experiment manipulates the noise in a room (no noise being the control condition) to test the recall of words by participants. All other variables are controlled for. Case Study: Observations of behavior of a specific individual or group of individual to provide highly detailed and rich qualitative data. Example: A case study of a person with a very rare genetic disorder, such as hypertrichosis. Correlational study: A quantitative research method using co-variation – when one variable changes, the other variable changes as well; however, no cause-andeffect relationship can be determined Positive correlation both variables change in the same direction (e.g. as x increases, y increases). Negative correlation two variables change in different ways (e.g. as x increases, y decreases). Example: A correlational study could investigate the average number of hours a child watches television and the child’s level of aggression First Sentence of SAQ: Three research methods used at the biological level of analysis are the experimental method, the correlational study, and the case study; these are demonstrated in studies done by Rosenzweig et al. (1972), Bouchard et al. (1990), and Harlow (1848), respectively. Thesis of LAQ: This paper will investigate how and why the experimental method, the correlational study, and the case study are used at the biological level of analysis with reference to studies done by Rosenzweig et al. (1972), Bouchard et al. (1990), and Harlow (1848), respectively. Rosenzweig et al (1972) Research Method: Experimental Aim: To investigate the effect of either enrichment or deprivation on the development of neurons in the cerebral cortex of mice. Procedure Rats were placed into one of two experimental conditions: enriched environment or deprived environment Enriched environment contained a variety of stimuli for the rats (e.g. interesting toys); rats lived in groups of 6-8 Deprived environment was isolated, contained no stimuli, or toys with which to play After 30 or 60 days in their respective environments, the rats were sacrificed and post-mortem studies were conducted on their brains Findings Post-mortem studies revealed that rats in the enriched environment condition had an increased thickness in their cerebral cortex The frontal lobes (associated with thinking, planning, and higher decision making) of rats from the stimulated condition were heavier than those from the rats in the deprived environment These findings strongly support the theory that brain plasticity can be changed depending on an animal’s environment Conclusions Supports neuroplasticity (i.e. the brain’s ability to rearrange connections between neurons); environmental stimulation impacts learning, which correlates to an increase of dendritic branching Applications This study can only be generalized to humans to some extent, as the environmental inputs and genetic-makeup of humans differ. Psychologists cannot carry out controlled experiments to test this with humans as it is unethical. Limitations The rats in the “deprived” experimental condition of the experiment were purposely subjected to extreme levels of mental stress for extended periods of time; harm done to animals was neither avoided nor minimized Cannot be completely generalized to humans as their genetic makeup and environmental input differs The rats’ mental stress due to isolation may have been a potentially confounding variable Low ecological validity as it was a laboratory experiment with an artificial environment Evaluation Strengths: Highlights the importance of education in the growth of new synapses; evidence of neuroplasticity Harlow Research Method: Case study Aim: To investigate the effect of brain damage in psychological processes. Procedure Longitudinal case study of Phineas Gage, a railway worker In 1848, during a violent explosion that resulted from a railway accident, an iron rod flew through the air and through Gage’s head. The rod entered below his left cheek and exited through the top of his skull. Gage was still conscious as he was rushed to the hospital, where he was placed into the care of Dr. Harlow Gage’s wounds healed, but there were significant changes in his behaviour that were monitored Applications Psychologists understood that the frontal lobe had a specific function and realized that no part of the brain is expendable. Future doctors and psychologists can realize victims of brain damage will be affected in particular ways and can better prepare for it Evaluation Strength: Harlow’s study helped to demonstrate localization of function, and led to research by Paul Broca (1861) and Carl Wernicke (1874) Findings Gage’s memory and other cognitive functions remained intact, but there were significant changes in his emotions and behavior Harlow described him as having little restraint, using uncharacteristically rude language, and making grand plans for the future which would be instantly replaced with others Conclusions The longitudinal study of the damage to his frontal lobe provided evidence that the brain effects personality and social behaviour Behaviour in the brain is localized and pertains to a specific part of the brain Limitations The extent of Gage’s brain damage is uncertain It is not possible to replicate the findings of the study because it is unique to Phineas Gage; as such, the reliability of the data can said to be low Ethical considerations: Phineas Gage’s entire life story was publicized and shared with the world (no confidentiality or anonymity) Bouchard et al. (1990) Research Method: Correlational study Aim: To investigate the role of genetics in determining intelligence Procedure Identical and fraternal twins were tested for intelligence Groups of subjects included: identical twins reared together, identical twins reared apart, fraternal twins reared together, biological siblings reared together Each participant completed approximately 50 hours of testing and interviews with researchers Results from each person’s testing were then compared to their corresponding twin/sibling to determine overlap in intelligence Applications The study helps to understand why adopted children don’t always get along in their new home with their adoptive family, and to understand why some children don’t learn as well as others in similar environments Evaluation Strengths: Very high cross-cultural validity, with participants recruited from all over the world. Mean age of MZA (identical twins reared apart) was 41 years at the start of the study, resulting in high generalization. Findings The concordance (i.e. agreement) rates of intelligence are as follows: Same person tested twice: 87% Identical twins raised together: 86% Identical twins reared apart: 76% Fraternal twins reared together: 55% Biological siblings reared together: 47% Conclusions Researchers determined a heritability estimate of ~70% (i.e. 70% of intelligence can be attributed to genetic inheritance) 30% of intelligence can therefore be attributed to other factors, such as environment Limitations Relied on media coverage to recruit participants Ethical concerns about the way he reunited the twins raised apart (i.e. protection from mental or emotional stress) No control to monitor the frequency of contact between the twins prior to the study It cannot be assumed that twins raised together experienced identical environments; “equal environment assumption” Correlation does not imply causation Experimental Method Strengths Establishes a cause-and-effect relationship High replicability and reliability All variables are controlled Generates certain quantitative data Case Study Strengths Provides very rich and detailed data Qualitative observations tend to be much more indepth and insightful Longitudinal studies measure behavior over an extended period of time Allows researchers to study variables that could not otherwise be recreated in a lab due to ethical restrictions Correlational Study Strengths Objective way to determine the strength and direction of a relationship between two variables Quantitative data is normally very rich and detailed Correlational studies make it possible to survey a large sample at once, increasing generalization Limitations Artificiality in laboratory experiments Extraneous and confounding variables are possible Demand characteristics are possible Researcher bias is possible Limitations Often low generalization of the results back of the lack of participant variability Usually low replicability because of the unique conditions affecting the participants Results can be susceptible to researcher bias Ethical issues relating to confidentiality, deception, invasion of privacy Limitations Bidirectional ambiguity is possible – when it is uncertain which variable caused the other (whether x caused y or y caused x) No cause-and-effect relationship can be established Interpretation of data can be susceptible to researcher bias