IB Psychology HL Internal Assessment Example

The student makes a clear conceptual link between the theory and the research question. This is effective because it explains why background music might affect recall rather than simply describing the model in isolation.

The aim is focused and clearly linked to the working-memory model. By naming the phonological loop and the two auditory conditions, the student shows exactly what relationship the investigation is testing, which makes the purpose easy to follow.

The description would be stronger with more precise terminology. The student should replace informal phrases such as “inner ear” with standard psychological language, because accurate wording improves conceptual clarity and demonstrates firmer understanding of the model.

The model description is substantial and includes key components of working memory. Naming the phonological loop, store, and articulatory process helps show understanding of the theory that underpins the investigation.

The relevance is well justified through the study-practice connection. This works because the student explains why the question matters beyond the classroom task itself, which strengthens the introduction’s purpose and significance.

What specific prediction from the working memory model makes the one-tailed direction justified here, and how could that prediction be stated directly in the hypothesis to make the reasoning more transparent?

The hypothesis is clear, but it would be stronger if the outcome were explicitly operationalized here, for example by referring to the number of correct answers out of six. That would make the predicted IV–DV relationship more precise.

The research design is clearly identified and then explained in terms of how it shapes the investigation. The student also connects it to order effects, showing more than just naming the design.

The explanation would be stronger if it clarified why order effects matter less in an independent-groups design than in a repeated-measures design. A brief comparison would show deeper understanding of the design choice.

This is a useful methodological justification because it shows awareness of practical constraints. Explaining why the design suits the available time makes the choice feel intentional rather than arbitrary.

The controlled variables are detailed and directly relevant to fairness. This strengthens the exploration because it shows the student understands how to reduce extraneous variation in a memory experiment.

The student should explain how this information actually controlled the variable, not just recorded it. If language proficiency could still differ within each category, then the control is only partial, so the method should be refined or qualified.

The sample is described with enough detail to judge its relevance and limits. Including age and school context helps the reader understand both who the participants were and how far the findings might generalise.

The use of a pre-set mark scheme and two markers is a strong reliability feature. This works well because it reduces the chance that scoring differences, rather than the independent variable, distort the results.

How might selecting whole classes by availability influence the representativeness of the sample, and what would change if participants were randomly drawn from the wider student body?

The sampling technique is stated clearly and then linked to how participants were accessed in practice. That makes the sampling method easy to evaluate and situates it realistically in the school context.

The choice of median is well motivated by the level of measurement. Explaining why it suits the data helps show that the statistical choices are deliberate, not just procedural.

The main descriptive finding is stated clearly and directly. This works well because it gives an immediate summary of the data before the inferential test is introduced.

This claim is too strong for the evidence presented. Comparing medians for language groups does not demonstrate that language had no impact; it only suggests no obvious difference in this sample. The student should avoid causal certainty unless a direct statistical test supports it.

The student could strengthen the analysis by explaining why standard deviation is appropriate alongside a median-based summary, or by using a dispersion measure that matches the ordinal interpretation more closely. That would make the statistical reporting more coherent.

The inferential test is appropriate for comparing two independent groups, and the student correctly justifies its use in relation to the data. This shows sound statistical decision-making.

How would the conclusion change if the result were described more precisely as ‘insufficient evidence to reject the null hypothesis’ rather than ‘accepting’ it, and why is that distinction important in hypothesis testing?

The result is reported with the key test statistic and critical value, which allows the reader to see how the conclusion was reached. This is a strong feature because it makes the inferential reasoning transparent.

The conclusion from the inferential test is clearly stated and follows from the reported statistics. This is effective because the student does not leave the reader to infer the meaning of the $U$ value.

The graph addresses the hypothesis directly because it compares the two experimental conditions on the relevant outcome. That focus keeps the visual evidence aligned with the research question.

What other explanations, besides a lack of effect, could account for the non-significant result, and how would considering them make the evaluation more balanced?

This overstates what the comparison can show. The student can suggest that language proficiency was monitored or partially controlled, but the data do not prove the variable had no effect. The discussion should use more cautious language to match the evidence.

The discussion links the finding back to theory, which is exactly what this criterion requires. The student is not merely restating the result but trying to interpret what it means for the working-memory model.

This modification would be stronger if it explicitly linked back to the limitation that classical music may have been too mild a distractor. The student should explain how the new genre would better test the same hypothesis rather than simply broadening the study.

The interpretation would be stronger if it considered alternative explanations before revising the theory itself. A non-significant result could also reflect the specific music choice, task difficulty, or sample characteristics rather than a larger phonological-loop capacity.

The limitations discussion shows an attempt to connect the investigation to background research. This is useful because it explains why the chosen music genre may have affected the size of any interference.

The limitation is relevant, but the explanation is somewhat imprecise. The student should clarify whether the issue is individual memory ability, reading speed, or unequal exposure to the text, because these are different sources of variability and would need different controls.

The proposed modification would be stronger if it explained exactly how the pretest would be used. For example, the student could state that scores would be used to match participants or as a covariate, which would better show how the limitation is addressed.

The limitation is relevant and clearly connected to the sample. This is a strong point because it shows awareness that a narrow, school-based sample affects how widely the findings can be applied.