📚 SQA Psychology: Key Points for Experimental/Practical Assessment | SQA 心理学:实验/实践考核要点
Experiments and practical investigations form the backbone of psychological research, and in the SQA Psychology course at National 5 (Year 11), students are required to design, carry out, and evaluate their own study. This article breaks down the key assessment points you need to master for the experimental/practical component, from hypothesis writing to ethical safeguards.
实验与实践研究是心理学研究的基石。在苏格兰资格认证局(SQA)国家5级(Year 11)心理学课程中,学生需要设计、实施并评估自己的研究。本文将拆解你在实验/实践考核中必须掌握的关键要点,从假设撰写到伦理保障,一应俱全。
1. The Experimental Method | 实验法概述
The experimental method involves manipulating one variable (the independent variable) to measure its effect on another variable (the dependent variable), while controlling all other variables. This is the only method that can establish cause-and-effect relationships. In your practical assessment, you must be able to identify the IV and DV in your own study and justify why an experiment was the appropriate method.
实验法涉及操纵一个变量(自变量)以测量其对另一个变量(因变量)的影响,同时控制所有其他变量。这是唯一能够建立因果关系的方法。在你的实践考核中,你必须能够识别你自己研究中的IV和DV,并说明为什么实验是合适的方法。
2. Variables and Operationalisation | 变量与操作化
Variables must be clearly operationalised – stated in a way that is precise and measurable. For example, instead of saying ‘memory ability’, you would operationalise it as ‘the number of words correctly recalled from a list of 20’. The IV is the condition you change (e.g., whether participants study with music or in silence), and the DV is what you measure (e.g., score on a memory test).
变量必须被清晰地操作化——即以精确、可测量的方式陈述。例如,不要说“记忆能力”,而是将其操作化为“从20个单词列表中正确回忆出的单词数量”。IV是你改变的条件(例如被试在有音乐或安静环境下学习),DV是你测量的内容(例如记忆测试得分)。
Confounding variables are factors other than the IV that might affect the DV. Participant variables (e.g., age, IQ) and situational variables (e.g., time of day, noise) must be controlled. In your write-up, you need to identify at least one possible confounding variable and explain how you controlled or minimised it.
混淆变量是除IV外可能影响DV的因素。被试变量(如年龄、智商)和情境变量(如一天中的时间、噪音)必须得到控制。在你的报告中,你需要至少识别一个可能的混淆变量,并解释你是如何控制或最小化其影响的。
3. Writing Hypotheses | 撰写假设
A hypothesis is a clear, testable prediction about the relationship between the IV and DV. You must learn to write both experimental (alternative) hypotheses and null hypotheses. An experimental hypothesis can be directional, predicting the direction of the effect (e.g., ‘participants who learn in silence will recall more words than those who learn with music’), or non-directional, simply predicting a difference (e.g., ‘there will be a difference in the number of words recalled between silent and music conditions’).
假设是对IV与DV之间关系的清晰、可检验的预测。你必须学会撰写实验假设(备择假设)和零假设。实验假设可以是方向性的,预测效应的方向(例如“在安静环境下学习的被试将比在有音乐环境下学习的被试回忆更多单词”),或者是非方向性的,只预测存在差异(例如“安静组与音乐组在回忆单词数量上存在差异”)。
The null hypothesis states that there will be no significant difference or relationship, and any observed effect is due to chance. For your practical, you need to include both an experimental and a null hypothesis, correctly operationalised.
零假设陈述不存在显著差异或关系,任何观察到的效应都是由偶然因素造成的。在实践报告中,你需要同时包含一个实验假设和一个零假设,并且两者都正确操作化。
4. Experimental Designs | 实验设计
You must choose one of three basic experimental designs: independent groups, repeated measures, or matched pairs. Each has its own advantages and limitations that you need to discuss in your evaluation.
你必须从三种基本实验设计中选择一种:独立组设计、重复测量设计或配对组设计。每种设计都有其自身的优点和局限性,你需要在评估部分进行讨论。
| Design | Key Feature | Advantage | Disadvantage |
| Independent Groups | Different participants in each condition | No order effects (e.g., practice, fatigue) | Participant variables may differ between groups; requires more participants |
| Repeated Measures | Same participants do all conditions | Participant variables are controlled; fewer participants needed | Order effects can occur; demand characteristics may be stronger |
| Matched Pairs | Different but matched participants across conditions | Controls participant variables without order effects | Time-consuming and difficult to match perfectly on all variables |
Table: Summary of experimental designs and their main pros and cons. 表格:实验设计及其主要优缺点总结。
5. Controlling Extraneous Variables | 控制外扰变量
To increase internal validity, you must identify and control extraneous variables. Standardisation involves keeping all procedures the same for every participant, including instructions, timing, and materials. Randomisation, such as randomly allocating participants to conditions, helps distribute participant variables evenly. Counterbalancing is used in repeated measures designs; half the participants experience condition A first, while the other half experience condition B first, balancing out order effects.
为了提高内部效度,你必须识别并控制外扰变量。标准化意味着让每个被试接受完全相同的程序,包括指导语、时间和材料。随机化,例如将参与者随机分配到不同条件,有助于均匀分散被试变量。平衡法则用于重复测量设计;一半被试先接受条件A,另一半先接受条件B,从而平衡顺序效应。
Single-blind and double-blind procedures can reduce demand characteristics and experimenter bias. In your practical, even simple measures like testing all participants at the same time of day and in the same quiet room can make a significant difference.
单盲和双盲程序可以减少需求特征和实验者偏差。在你的实践中,即便是简单的措施,比如让所有被试在一天中的同一时间、同一安静房间接受测试,也能产生显著的不同。
6. Sampling Methods | 取样方法
The target population is the group you want to generalise your findings to. You select a sample using a sampling technique. Common methods include opportunity sampling (using people who are readily available), random sampling (everyone in the target population has an equal chance of being selected), and volunteer sampling (participants self-select).
目标总体是你希望将研究结果推论到的群体。你通过取样技术选取样本。常见方法包括便利取样(使用最容易接触到的人)、随机取样(目标总体中每个人都有均等被选中的机会)和志愿者取样(参与者自我选择)。
Each method has implications for representativeness. Opportunity sampling is quick but may be biased; random sampling is ideal but often difficult to achieve; volunteer sampling can attract a certain type of person. In your practical assessment, you need to describe your sampling method, explain why you chose it, and evaluate its impact on generalisability.
每种方法都对代表性有影响。便利取样快捷但可能存在偏差;随机取样理想但常常难以实现;志愿者取样可能吸引某一特定类型的人。在你的实践考核中,你需要描述你的取样方法,解释选择它的原因,并评估它对可推广性的影响。
7. Ethical Considerations | 伦理考量
The British Psychological Society (BPS) ethical guidelines must be followed in all psychological research. The key principles include informed consent, the right to withdraw, confidentiality, protection from harm, and debriefing. Before the study, participants should receive a brief that explains the task without revealing the full aim, and they must give consent (or parental consent if under 16).
所有心理学研究都必须遵守英国心理学会(BPS)的伦理准则。关键原则包括知情同意、退出权、保密、保护免受伤害以及事后解释。在研究前,被试应收到一份说明,解释任务但不透露完整目的,并且他们必须给予同意(未满16岁需家长同意)。
After the study, a debrief should reinstate the true aim, allow participants to ask questions, and ensure they leave in a positive state. You must mention these steps in your practical write-up and reflect on how you addressed each ethical issue.
研究结束后,事后解释应还原真实目的,允许被试提问,并确保他们以积极的状态离开。你必须在实践报告中提及这些步骤,并反思你是如何处理每个伦理问题的。
8. Data Collection and Types of Data | 数据收集与数据类型
Data can be quantitative (numerical, e.g., number of words recalled, response time) or qualitative (non-numerical, e.g., open-ended interview responses). In experiments, you typically collect quantitative data which can be analysed statistically. However, you may also note observational notes or qualitative feedback during debriefing that can enrich your evaluation.
数据可以是定量的(数字,如回忆单词的数量、反应时间)或定性的(非数字,如开放式访谈回答)。在实验中,你通常收集可进行统计分析的定量数据。然而,你也可能会记录观察笔记或事后解释中的定性反馈,以丰富你的评估。
Measure the DV using a reliable and valid method. For memory experiments, that could be a standardised word list; for an attention study, a Stroop task. Describe what instrument you used and how you recorded the responses (e.g., paper tally sheet, stopwatch).
使用可靠且有效的方法测量DV。对于记忆实验,可以是标准化词表;对于注意力研究,可以是Stroop任务。描述你使用了什么工具,以及如何记录反应(如纸质计数表、秒表)。
9. Descriptive Statistics | 描述统计
For your practical, you are expected to calculate measures of central tendency (mean, median, mode) and measures of dispersion (range, and possibly standard deviation if taught). Mean gives the average, median the middle value, and mode the most frequent. The range (highest minus lowest) shows spread. These help you summarise your data and make initial comparisons between conditions.
在你的实践中,你需要计算集中趋势量数(平均数、中位数、众数)和离散量数(极差,如果学过,可能还包括标准差)。平均数给出平均值,中位数是中间值,众数是最频繁出现的值。极差(最大值减最小值)显示数据的散布程度。这些帮助你总结数据并在不同条件间进行初步比较。
Present your data in a clearly labelled table, and choose an appropriate graph: a bar chart for comparing means across conditions, or a histogram for showing frequency distributions. Always label axes and give the graph a title.
在一个带明确标签的表格中呈现数据,并选择合适的图表:用条形图比较各条件的平均数,或用直方图显示频率分布。始终标记坐标轴,并给图表添加标题。
10. Inferential Statistics | 推断统计
Depending on your syllabus, you may need to use a statistical test to determine if your results are significant. At National 5 level, this often involves understanding the concept of significance (p < 0.05) and being able to relate it to the null hypothesis. If the probability that results are due to chance is less than 5%, you can reject the null hypothesis and accept the experimental hypothesis.
根据你的教学大纲,你可能需要使用统计检验来判断结果是否显著。在国家5级水平,这通常涉及理解显著性的概念(p < 0.05)以及将其与零假设关联起来的能力。如果结果因偶然因素产生的概率小于5%,你就可以拒绝零假设,接受实验假设。
You might calculate a simple sign test or use a critical values table. This shows you can move beyond descriptive statistics and draw conclusions about your data. Remember: ‘significant’ in psychology means ‘unlikely to have occurred by chance’, not ‘important’.
你可能会计算简单的符号检验或查阅临界值表。这表明你能超越描述统计,从数据中得出结论。记住:心理学中的“显著”意味着“不太可能由偶然因素造成”,而不是“重要”。
11. Evaluation: Validity, Reliability, and Generalisability | 评估:效度、信度与可推广性
A strong evaluation is essential for high marks. Internal validity asks: did you measure what you intended to measure? Were the controls effective? External validity considers whether findings can be generalised beyond the experimental setting. Ecological validity refers to how real-world the task was; mundane realism to whether the task felt meaningful. Population validity concerns whether the sample represents the target population.
强有力的评估对于获得高分至关重要。内部效度问的是:你测量的是你想测量的吗?控制措施是否有效?外部效度考察研究结果能否推广到实验环境之外。生态效度指任务在多大程度上接近现实世界;日常真实性指任务是否让人感到有意义。总体效度关注样本是否代表目标总体。
Reliability means consistency. If you repeated the experiment, would you get similar results? You can improve reliability through standardisation and using reliable instruments. Discuss both strengths and weaknesses of your study, suggest at least two improvements, and link these to wider psychological concepts.
信度意味着一致性。如果你重复该实验,会得到相似的结果吗?你可以通过标准化和使用可靠工具来提高信度。讨论你研究的优点和缺点,提出至少两个改进建议,并将这些与更广泛的心理学概念联系起来。
12. Practical Write-up Structure | 实践报告结构
A complete experimental report typically includes the following sections: Title, Abstract (summary), Introduction (background and hypothesis), Method (design, participants, apparatus, procedure), Results (descriptive and inferential statistics, graph), Discussion (evaluation, relation to past research, improvements), References, and Appendices (e.g., consent form, materials). Ensure you follow the structure provided by your teacher and use appropriate psychological terminology throughout.
一份完整的实验报告通常包括以下几个部分:标题、摘要(概述)、引言(背景与假设)、方法(设计、被试、仪器、程序)、结果(描述统计与推断统计、图表)、讨论(评估、与过往研究的关联、改进)、参考文献和附录(如同意书、材料)。务必遵循老师提供的结构,并全程使用恰当的心理学术语。
In the method section, write in the third person and past tense, with enough detail that someone else could replicate your study. Refer to participants as ‘participants’, not ‘subjects’. The discussion should explain what your results mean in the context of the hypothesis and theory, not just repeat the numbers.
在方法部分,应使用第三人称和过去时,提供足够细节,使他人能够复制你的研究。将被试称为“ participants ”,而不是“ subjects ”。讨论部分应解释你的结果在假设和理论背景下意味着什么,而不仅仅是重复数字。
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