IB Psychology HL Internal Assessment Example

This is a strong conceptual link between theory and the predicted effect. The student explains the mechanism, not just the name of the model, so the reader can see why word length should influence recall.

Clear, specific aim: the population, manipulation, and outcome are all identified in one sentence. This works well because it lets the reader immediately see what is being investigated and how the study connects to the word-length effect.

Strong relevance statement. The student does not just name the model; the explanation shows why the investigation matters theoretically, which is exactly what lifts the introduction beyond a simple topic statement.

The DV is mostly clear, but the wording is inconsistent: ‘free recall’ conflicts with ‘correct order,’ which is serial recall. That inconsistency matters because the scoring method and the interpretation of memory performance depend on the exact task definition.

Consider tightening the null hypothesis so it mirrors the operationalized DV more cleanly. A shorter, more precise hypothesis would make it easier to match the statistical test and avoid ambiguity about whether the task is free recall or serial recall.

Excellent operationalization of the IV. The two conditions are defined in a way that makes the manipulation measurable and directly testable, which is important for a clear hypothesis and later analysis.

The sample is clearly described with relevant characteristics. This gives the reader enough detail to judge who the findings apply to and how representative the participants are of the target population.

Good sampling rationale. The student explains why excluding psychology students is methodologically sensible, showing awareness of demand characteristics and their effect on validity.

The student explains why the design is useful, not just what it is. Linking repeated measures to reduced participant variability shows sound methodological understanding and strengthens internal validity.

Good identification of the design. Naming the repeated-measures structure is important because it signals how the student intends to control participant differences and supports later justification of the statistical test used.

Consider adding a sentence explaining how order effects were handled. Because both conditions were completed by the same participants, counterbalancing or randomising order would be a valuable way to show that practice or fatigue did not drive the result.

This is a reasonable idea, but the explanation is incomplete because it does not show how the chosen words were matched across conditions. If word frequency, concreteness, or imagery differ between the lists, the study may be measuring more than word length.

The description names the sampling method, but it does not fully explain why this participant group is appropriate for the research question. A stronger justification would connect Grade 11 IB students to the study’s educational relevance and explain any limits to generalisability.

Excellent explanation of how technology improved procedural consistency. This is relevant because timing is central to the word-length effect, so keeping exposure duration stable strengthens reliability and validity.

This claim is too strong. Familiarity is controlled, but the two lists could still differ in frequency, concreteness, imagery, or semantic distinctiveness. The student should avoid saying the difference is ‘only’ due to word length unless those extra variables are also matched or measured.

Good material choice, because familiar words reduce the risk that unfamiliar vocabulary, rather than word length, drives the recall difference. That shows awareness of how to control a confound.

This control is sensible, but the explanation would be stronger if the student also noted that the same environment does not remove all situational variation. Factors such as seating position, peer distraction, or noise level could still influence attention and recall.

This is a strong control because it reduces researcher inconsistency. Standardising the instructions helps ensure that differences in recall are less likely to come from procedural variation.

Consider supporting this claim with a more direct reference to the raw data or a boxplot. If the student wants to argue symmetry or lack of outliers, visual evidence or a stated rule for identifying outliers would make the interpretation more convincing.

Clear and effective interpretation of the descriptive results. The student states the direction and size of the difference, which makes the finding easy to understand before the inferential test is discussed.

The modal value for the monosyllabic condition is reported incorrectly in the table. The raw data and appendix show that the mode is 2, not 5, so this table needs correction before the descriptive statistics can be trusted fully.

The conclusion is understandable, but the wording should be more precise: in hypothesis testing, the null hypothesis is rejected rather than the research hypothesis being ‘accepted.’ This distinction matters because it reflects standard inferential reporting.

The p-value is being overinterpreted here. It is not the probability that the null hypothesis is true; it is the probability of obtaining data at least this extreme if the null hypothesis were true. Correct statistical language is important because it affects how the evidence is interpreted.

The student reports the key decision statistics needed to evaluate significance. This is useful because it shows the test result rather than only stating that the outcome was significant.

What part of the inferential output is most important for the reader to see in the main body of the report, and what could be left in the appendix? Thinking about that distinction would help the student present the most relevant evidence more efficiently.

Good choice of inferential test. The student correctly matches the repeated-measures design to the Wilcoxon signed-rank test, showing an appropriate link between method and statistical analysis.

Good modification because it is linked directly to the stated limitation. The proposed screening method is practical and shows the student is thinking about how to improve control in a real school setting.

Relevant limitation identified well. The student recognises a factor that could directly affect recall performance, which shows a good connection between sample characteristics and the validity of the findings.

Strong theoretical discussion. The student explains the result through the phonological loop’s time limit, which shows understanding of why the findings matter rather than simply restating the outcome.

This is a clear and relevant conclusion that connects the evidence back to the background theory. It demonstrates that the student is using the results to evaluate the model, not just describe the data.

This overstates the strength of the control. Keeping the list format constant does not eliminate material differences if the words still vary in frequency, familiarity, or concreteness. The student should be more precise about what was controlled and what still could differ.

If the main concern is demand characteristics, why might excluding psychology students be helpful, but not sufficient on its own? Reflecting on that would help the student evaluate whether this control meaningfully reduces bias or only lowers it a little.

The evaluation would be even stronger if the student explained exactly how English proficiency could distort the result. For example, lower proficiency may affect decoding speed as well as recall, so wording the limitation in terms of processing speed could make the argument more precise.

The modification is only partly justified. An independent-samples design might reduce demand characteristics, but it would also remove the benefit of controlling individual differences that repeated measures provides. The student should explain that trade-off before recommending the change.

This is a relevant limitation linked to a practical modification. The student shows awareness that stress could interfere with recall, and the proposed timing change is clearly aimed at improving participant performance and comfort.