OCR A-Level Psychology H567
Research Methods and Techniques
Planning and Conducting Research
Data Recording, Analysis and Presentation
Report Writing and Scientific Communication
Practical Activities and the Nature of Science
Mathematical Requirements for Research Methods
Studying and Evaluating the Core Studies: The Common Framework
Core Studies: Social Area
Core Studies: Cognitive Area
Core Studies: Developmental Area
Core Studies: Biological Area
Core Studies: Individual Differences Area
Areas and Perspectives in Psychology
Debates in Psychology
Practical Applications of Psychology
Issues in Mental Health
Child PsychologyApplied option
Criminal PsychologyApplied option
Environmental PsychologyApplied option
Sport and Exercise PsychologyApplied option
Methodological Issues and Debates Running Through Applied Psychology
Data Recording, Analysis and Presentation
- 15 subtopics
- 45 things to know
- Component 01
What Data Recording, Analysis and Presentation covers
Data Recording, Analysis and Presentation is examined on component 01 of OCR Psychology, Research methods. 155 recall questions across 15 subtopics.
Where it is assessed
Component 01
Research methods, the whole of the first paper.
Check the OCR specification ↗The 15 subtopics
Each one has its own page.
- Raw data tables, standard form and decimal formRecall questions on raw data and what a raw data table contains, separating summary tables, stating units in column headings, and converting values between standard form and decimal form.Open →
- Significant figures, estimation and the rangeRecall questions on rounding to significant figures and decimal places, counting significant figures, reporting results sensibly, estimation, finding the range, estimating a mean from a total, and keeping raw data after a study.Open →
- Nominal, ordinal and interval dataRecall questions on nominal, ordinal and interval data with examples, why rating scales give ordinal data, which level carries most information, and which measure of central tendency suits each level.Open →
- Quantitative, qualitative, primary and secondary dataRecall questions on quantitative and qualitative data with a strength of each, converting qualitative data into numbers, primary and secondary data, and identifying the type of data used in example studies.Open →
- Measures of central tendencyRecall questions on measures of central tendency, finding and evaluating the mode, median and mean, calculating a median and a mean, and choosing the measure that best represents a data set with an outlier.Open →
- Measures of dispersionRecall questions on measures of dispersion, calculating and evaluating the range, the variance and standard deviation, and what large and small standard deviations show about a set of scores.Open →
- Percentages, fractions, ratios and graphsRecall questions on expressing results as percentages, fractions and ratios, frequency tables, choosing line graphs, pie charts, bar charts, histograms and scatter diagrams, and calculating a pie chart angle.Open →
- Normal and skewed distributions and probabilityRecall questions on the purpose of inferential tests, the normal distribution, positively and negatively skewed distributions and where the mean, median and mode lie, and probability in research findings.Open →
- Significance levels, Type 1 and Type 2 errors and critical valuesRecall questions on significance levels and the usual 5% level, when to use 0.01, Type 1 and Type 2 errors and how the significance level affects each, and how tables of critical values are used.Open →
- Parametric criteria and choosing a non-parametric testRecall questions on the criteria for parametric tests, the criteria for the Mann-Whitney U, Wilcoxon, Chi-square, Binomial Sign and Spearman's rho tests, choosing a test for example studies, and comparing observed and critical values.Open →
- Degrees of freedom, choosing a test and mathematical symbolsRecall questions on degrees of freedom for Chi-square, the three questions for choosing an inferential test, and the mathematical symbols ∝, ~, < and << used to report relationships and significance.Open →
- Representativeness, generalisability and types of reliabilityRecall questions on representativeness and generalisability, internal and external reliability, inter-rater, test-retest and split-half reliability, and ways to improve the reliability of observations and questionnaires.Open →
- Types of validityRecall questions on validity and its types, including internal, face, construct, concurrent, criterion, external, population and ecological validity.Open →
- Demand characteristics, social desirability and researcher biasRecall questions on low ecological validity in artificial memory tasks, demand characteristics and how participants respond to them, social desirability, researcher or observer bias and effects, and controlling researcher bias.Open →
- The BPS Code of Ethics and ethical issues in researchRecall questions on the BPS Code of Ethics principles of respect, competence, responsibility and integrity, informed consent, the right to withdraw, confidentiality, protection of participants, debriefing, deception, and ethical issues in a staged field study.Open →
What you need to know
Answer each one before you reveal it.
How can qualitative data be converted into quantitative data?
Why is the standard deviation usually reported rather than the variance?
When would a researcher adopt the stricter 0.01 significance level?
Which type of error becomes more likely if the significance level is relaxed to 0.10?
Which test suits an independent measures study comparing recall scores in a quiet and a noisy room?
What is generalisability?
How is test-retest reliability assessed?
Suggest one way of improving the reliability of an observation.
What is construct validity?
To how many significant figures are results in psychology usually reported?
The highest score in a data set is 47 and the lowest is 12. State the range.
Which measure of central tendency is appropriate for nominal data, and why?
What is secondary data?
What is the mode?
In a study, 45 participants conformed and 15 did not. State the ratio of conformers to non-conformers in its simplest form.
A researcher has the mean number of errors made by four separate groups. State which form of display is appropriate and why.
What is the purpose of an inferential statistical test?
How are the degrees of freedom found for a Chi-square test?
What three questions determine which inferential test should be chosen?
How is confidentiality maintained in a study?
A study of helping behaviour is staged in a shopping centre without telling those involved. Identify two ethical issues raised.
What is raw data?
What should a well-designed raw data table contain?
What is a measure of central tendency?
What is a measure of dispersion?
Where do the mean, median and mode lie in a normal distribution?
State the three criteria for using a parametric test.
Define validity.
Explain why a memory study using nonsense syllables in a cubicle risks low ecological validity.
What are demand characteristics?
Why is a summary table presented separately from the raw data table?
Why should a calculated result not be reported to more significant figures than the original data?
What is nominal data?
What is quantitative data?
What is the median?
How is the range calculated?
What is a frequency table used for?
What is a positively skewed distribution?
State the significance level normally used in psychology and explain what it means.
Which test suits a study comparing how many men and how many women helped a stranger?
For Chi-square and Spearman Rho, what must be true of the observed value for the result to be significant?
What is internal validity?
What is social desirability?
What does protection of participants mean in practice?
Take Data Recording, Analysis and Presentation further
The same content, four other ways.
Commonly confused
Pairs that lose marks when they are blurred together.
Nominal data vs Ordinal data
Nominal data: data in named categories with no order between them. Ordinal data: data that can be ranked, though the gaps between ranks are not equal.
Median vs Mode
Median: the middle value when the scores are placed in order. Mode: the most frequently occurring score in a set.
Primary data vs Secondary data
Primary data: data collected first-hand by the researcher for the present study. Secondary data: data gathered by someone else, for another purpose, and reused.
Questions from this topic
Each one with the model answer underneath.
- 1
What is raw data?
Model answer
The untreated scores or observations recorded directly from participants, before any calculation or summarising has been carried out.
- 2
What should a well-designed raw data table contain?
Model answer
An informative title, clearly labelled rows and columns including any units, and one entry for each participant's score in each condition.
- 3
Why is a summary table presented separately from the raw data table?
Model answer
The raw data table shows every original score, whereas the summary table condenses those scores into descriptive statistics such as the mean and standard deviation.
- 4
Why should the units of measurement be stated in the column headings rather than beside every score?
Model answer
It keeps the table uncluttered and makes clear that every value in the column is measured in the same unit.
- 5
What is standard form?
Model answer
A way of writing a number as a value between 1 and 10 multiplied by a power of ten.
- 6
Express 0.00047 in standard form.
Model answer
It is 4.7 × 10⁻⁴.
What is inside Levo
Six ways to work the same material.
Data Recording, Analysis and Presentation revision questions
- What does Data Recording, Analysis and Presentation cover in OCR A-Level Psychology?
- 15 subtopics: raw data tables, standard form and decimal form, significant figures, estimation and the range, nominal, ordinal and interval data, quantitative, qualitative, primary and secondary data, measures of central tendency, measures of dispersion, percentages, fractions, ratios and graphs, normal and skewed distributions and probability, significance levels, type 1 and type 2 errors and critical values, parametric criteria and choosing a non-parametric test, degrees of freedom, choosing a test and mathematical symbols, representativeness, generalisability and types of reliability, types of validity, demand characteristics, social desirability and researcher bias and the bps code of ethics and ethical issues in research. Each one has its own page with questions and model answers.
- How is Data Recording, Analysis and Presentation organised?
- By the OCR H567 specification, subtopic by subtopic, so it matches the order you are taught it in.
Every question in Data Recording, Analysis and Presentation, on a schedule.
Attempt a question from memory, write the correct version, then attempt it again. Levo records the jump between your first attempt and your last, and brings each question back on the day you are due to forget it.
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