AQA A-level Psychology Paper 2 (7182/2) - 25th May 2023 [Exam Chat]

Predictions for biopsychology?

with revising research methods: this is what i did for paper one
i copied and pasted the spec onto a word document and made each point like content analysis or randomisation, a bullet point in the list
i identified the ones that i didn't know and topics that have been predicted and highlighted them and revised those first
once i had revised them, i copied the spec list into a random name generator and would test myself on each one, trying to identify an evaluation point as well.
if i couldn't answer the question i would watch a video (psych boost) but NOT MAKE NOTES, after the video had finished i then blurted onto a piece of paper about the topic. then check the video to see if its correct . if it comes up again and i forget it again i would do the same but write it on a flashcard as well.
seems like a long method but it was soooooooo helpful for paper 1

maybe biological rhythms? correct me if im wrong but I think they last came up in a big way in like 2018 and maybe again in 2020, they're my least fav tbh

Predictions for biopsychology?

LMFAOOO honestly tsr's predictions were horrible for paper 1. I acc can't believe u guys fully believed role of father would come up as a 16 marker 😭😭

Predictions for biopsychology?

here's the edited list (with tick boxes )
- [ ] Experimental method. Types of experiment, laboratory and field experiments; natural and quasi-experiments.
- [ ] Observational techniques. Types of observation: naturalistic and controlled observation;
- [ ] covert and overt observation;
- [ ] participant and non-participant observation.
- [ ] Self-report techniques. Questionnaires;
- [ ] interviews, structured and unstructured.
- [ ] Correlations. Analysis of the relationship between co-variables. The difference between correlations and experiments.
- [ ] Content analysis.
- [ ] Case studies.
- [ ] Aims: stating aims, the difference between aims and hypotheses.
- [ ] Hypotheses: directional and non-directional.
- [ ] Sampling: the difference between population and sample; implications of sampling techniques, including bias and generalisation.
- [ ] sampling techniques including: random, systematic, stratified, opportunity and volunteer;
- [ ] Pilot studies and the aims of piloting.
- [ ] Experimental designs: repeated measures, independent groups, matched pairs.
- [ ] Observational design: behavioural categories; event sampling; time sampling.
- [ ] Questionnaire construction, including use of open and closed questions; design of interviews.
- [ ] Variables: manipulation and control of variables, including independent, dependent, extraneous, confounding; operationalisation of variables.
- [ ] Control: random allocation and counterbalancing, randomisation and standardisation.
- [ ] Demand characteristics and investigator effects.
- [ ] Ethics, including the role of the British Psychological Society’s code of ethics; ethical issues in the design and conduct of psychological studies; dealing with ethical issues in research.
- [ ] The role of peer review in the scientific process.
- [ ] The implications of psychological research for the economy.
- [ ] Reliability across all methods of investigation. Ways of assessing reliability: test-retest and inter-observer; improving reliability.
- [ ] Types of validity across all methods of investigation: face validity, concurrent validity, ecological validity and temporal validity. Assessment of validity. Improving validity.
- [ ] Features of science: objectivity and the empirical method; replicability and falsifiability; theory construction and hypothesis testing; paradigms and paradigm shifts.
- [ ] Reporting psychological investigations. Sections of a scientific report: abstract, introduction, method, results, discussion and referencing.
- [ ] Quantitative and qualitative data; the distinction between qualitative and quantitative data collection techniques.
- [ ] Primary and secondary data,
- [ ] meta-analysis.
- [ ] Descriptive statistics: measures of central tendency – mean, median, mode;
- [ ] calculation of mean, median and mode; measures of dispersion; range and standard deviation;
- [ ] calculation of range;
- [ ] calculation of percentages;
- [ ] positive, negative and zero correlations.
- [ ] Presentation and display of quantitative data: graphs, tables, scattergrams, bar charts, histograms.
- [ ] Distributions: normal and skewed distributions; characteristics of normal and skewed distributions.
- [ ] Analysis and interpretation of correlation, including correlation coefficients.
- [ ] Levels of measurement: nominal, ordinal and interval.
- [ ] Content analysis and coding.
- [ ] Thematic analysis.
- [ ] the sign test. When to use the sign test; calculation of the sign test.
- [ ] Probability and significance: use of statistical tables and critical values in interpretation of significance;
- [ ] Type I and Type II errors.
- [ ] Factors affecting the choice of statistical test, including level of measurement and experimental design. When to use the following tests: Spearman’s rho, Pearson’s r, Wilcoxon, Mann-Whitney, related t-test, unrelated t-test and Chi-Squared test.

Can someone please help with Sperry's split brain research findings, i dont get it.

speed run seneca, and if you suck at graphs draw a lot of graphs cause they're easy marks

very relatable all my answers were kind of just wishy washy

im on seneca rn. do you get good marks in RM by using seneca

guys should I still revise content analysis? or should I not bother doing it considering they did so much of it in paper 1?

guys should I still revise content analysis? or should I not bother doing it considering they did so much of it in paper 1?

Need full marks on this paper to get an A* because of that atrocious paper 1, the questions weren’t bad I just wasn’t well so zoned out aha. Genuinely think I got like 30 marks in paper 1 😭 Research methods is going to save me I know it!! Going of the 2018 boundaries because they're the highest ones, best to be safe although I think 2018 is more likely.