Methods (Clinical Psychology) Flashcards
What is Primary Data?
Information on mental health that researchers gather themselves. This can take the form of experiments, interviews, questionnaires etc This might be concordance rates of twins when assessing the extent to which mental disorders are genetic. Interviews and questionnaires that ask patients about their symptoms comparisons can be drawn regarding differences/similarities between particular groups Primary data can be collected for a case study on a patient suffering from a particular mental disorder
What is an Example of using Primary Data to research mental health?
Rosenhan (1973) field study into mental health a in institutions.
What are the Strengths of Primary Data?
More valid conclusions surrounding the reason for a particular mental disorder can be gathered if the experimenter collects their own data relevant to their aim. The experimenter can ensure trustworthy d has been collected (in secondary data, some researchers have manipulated data by rounding statistics u or down), leading to valid conclusions. relevant to the aim of the study as variables will have been operationalised with the aims Primary data will in mind e g. to measure how effective therapy or medication is. However secondary data might ha been gathered for a different reason (e.g. government statistics on prescription rates in GP practices) s might not be focussed on the aim of the study
What are the Weaknesses of Primary Data?
Primary data is more expensive because money will be required for paying for brain scans on mental health patients, genes to be analysed, neurochemicals to be tested etc Mental health patients may be unwilling to let researchers investigate about their mental illness or may not be in touch with reality to consent to be investigated. It will take a long time to analyse primary data this may be through statistical analyses or subjective interpretation of interview/questionnaire scripts when describing their mental illness.
What is Secondary Data?
Information on mental health that is collected by someone other than the researcher for a different purpose. This can include previous studies research /medical records government statistics. Peer-assessed/reviewed articles or public statistics. Meta-analysis meta-analysis uses a statistical approach (inferential statistics) to combine the results from multiple studies related to mental disorders to gain more valid and generalizable conclusions. (see below) Government statistics on how many people have been diagnosed with a mental disorder or institutionalised.
What is an Example of Secondary Data used to research mental health?
Gottesman and Shields (1966) Schizophrenia concordance in MZ and DZ twins from medical records showing there is a genetic cause
What are the Strengths of Secondary Data?
It is cheaper to use secondary data as there are already statistics on mental disorder rates and concordance rates of mental illnesses. Researchers can simply do a meta analysis with the data, which requires less funding. “ Using a meta analysis means comparisons regarding the conclusions on mental health research can be made, making conclusions more valid. “
What are the Weaknesses of Secondary Data?
Data may have been gathered for another aim (looking at a range of mental disorders), so may not fit the needs of the secondary investigation (if you are just looking at one disorder) “ The data could be outdated-with DSM changing, the population might be diagnosed differently today, meaning comparisons with studies regarding concordance rates may be outdated. “ Researchers aim to get a significant result-researchers often round statistics up or down to make results significant. Therefore if a researcher investigating mental illness uses secondary data, their conclusions regarding mental illness may be invalid Lack of knowledge on the reliability or validity of original research means this can reduce the validity of the findings on mental disorders. Potential of cherry-picking which is when researchers only publish studies that show positive results leading to a bias in the literature, for example only publishing studies that show antidepressants to be effective Findings are produced after the research has taken place, decreasin validity.
What are Cross Cultural Studies?
Samples are taken from different cultural groups to draw comparisons about the similarities and differences between them in terms of how they experience mental disorders. It looks at whether the experience of patients suffering from schizophrenia or other mental illnesses is the same in different cultural groups.
What are some Examples of using Cross Cultural Studies to research mental health?
Tsuang et al. (2013) explored the relationship between schizotypy and handedness and looked at how this relationship stands up between different cultures by comparing western cultures to eastern cultures. Mandy et al. (2014) chose to test the DSM-5 diagnosis of autism spectrum disorder to see ifthe diagnosis in the USA and UK would generalise to other cultures.
What are the Strengths of using Cross Cultural Studies?
Allows clinicians to understand how culture plays a role in the validity and reliability of diagnoses: Can identify elements of abnormal behaviour that can be attributed to purely biological factors by identifying trends in mental disorders that are unaffected by cultural variation. Aids in the understanding of cultural factors that should be taken into account when diagnosing and treating patients. This can reduce ethnocentrism (bias towards one culture, which in mental health, is usually the Western European or American culture)
What are the Weaknesses of using Cross Cultural Studies?
Conducting research across cultures is likely to create conflict between the cultural values of some of the participants and those of the researcher
What is a Meta Analysis?
Involves looking at secondary data from multiple studies and drawing the findings together to make overall conclusions. Conducted when there is a large amount of psychological research where firm conclusion on mental disorders or treatments cannot be drawn without comparing the research or where findings may be inconsistent. A large amount of information gathered from a large overall sample can be easily considered. Meta-analysis of research looking at the effectiveness of CBT will focus its analysis on the size of the effect of CBT found by ALL of the research gathered.
What is an Example of using a Meta Analysis to research mental health?
Stafford et al. (2015) used it to look at treatments of psychosis and schizophrenia in children, adolescents and young adults by using studies that compared any drug, psychological or combined treatment for psychosis or schizophrenia that looked at children, adolescents or young adults. In total, 27 trials were used which had 3,067 participants.
What are the Strengths of using a Meta Analysis?
Conclusions regarding treatment and mental disorders can be drawn from a vast array of different areas and a huge overall sample Time and cost-effective due to the fact that data already exists and must only be combined and analysed using statistical analyses No ethical concerns as the researchers do not have direct contact with the patients /participants.