📚 Year 9 CCEA Psychology: Key Terms Quick Memorisation Guide | Year 9 CCEA 心理学：核心术语速记指南
Welcome to your Year 9 CCEA Psychology journey. Getting to grips with the subject starts with mastering its language. This guide breaks down the most important terms, one step at a time, and pairs them with simple, effective memory tricks so you can recall them quickly in class, in homework, and of course in your exams.
欢迎开启 Year 9 CCEA 心理学之旅。学好心理学的第一步，就是掌握它的语言。这篇指南会逐步拆解最重要的术语，同时配合简单有效的记忆窍门，让你在课堂上、作业里，当然还有考试中，都能快速回忆起来。
1. Independent and Dependent Variables | 自变量与因变量
In any experiment, the independent variable (IV) is the one the researcher deliberately changes. Think of it as the 'I change' variable. The dependent variable (DV) is the one we measure to see the effect of that change. A quick way to remember: 'I' for independent means 'I manipulate', and 'D' for dependent depends on what I did.
在任何实验中，自变量是研究者主动改变的那个变量。可以把它想成“我来改变”的变量。因变量则是我们测量变化结果的那个变量。一个快速记忆法：“自”由自己动手改变，“因”为它依赖于自变量的变化。
For example, if you test whether the volume of music (loud vs. quiet) affects concentration on a puzzle, the IV is the music volume, and the DV is the concentration score. To link them, say to yourself: 'The effect of IV on DV' – that is how you write a hypothesis later.
举个例子，当测试音乐音量（大声 vs 安静）是否影响对拼图的专注力时，自变量就是音乐音量，因变量是专注力得分。可以这样联系：“自变量对因变量的影响”——这也是你以后写假设的句式。
2. Hypothesis and Null Hypothesis | 研究假设与零假设
A hypothesis is a clear, testable prediction about the relationship between the IV and the DV. It often starts with 'It is predicted that...' A null hypothesis says there will be no difference or no relationship – it's the boring, no‑effect statement that researchers try to disprove. Remember: 'null' sounds like 'nil' (zero), so the null hypothesis assumes zero effect.
研究假设是对自变量和因变量之间关系的一个清晰、可验证的预测，常以“预测……”开头。零假设则声称没有差异或没有关系——这是一条“无聊”的无效应陈述，研究者努力反驳它。记住：'零'就是零效果，所以零假设假定效果为零。
Tip: Think of a courtroom. The null hypothesis is 'the defendant is innocent' – we start by assuming nothing is going on. The research hypothesis is 'the defendant is guilty'. Your experiment is the evidence that tries to prove the research hypothesis beyond reasonable doubt.
小贴士：想象法庭场景。零假设是“被告无罪”——我们一开始假定啥事也没有。研究假设是“被告有罪”。你的实验就是试图在合理怀疑之外证明研究假设的证据。
3. Operationalisation | 操作性定义
Operationalisation means turning abstract ideas into something you can actually measure or manipulate. Without it, words like 'aggression' or 'memory' are too vague. When you operationalise, you say exactly how you will count or change the variable, for example, 'number of times a child hits a doll' instead of just 'aggression'.
操作性定义是指把抽象概念转化为切实可测量或可操控的东西。没有它，“攻击性”或“记忆力”这类词就太模糊了。操作性定义就是明确说明你如何量化或改变变量，比如用“孩子击打玩偶的次数”来代替简单的“攻击性”。
Memory trick: 'Operation' makes you think of a step‑by‑step plan. To operationalise is to put your variable into an actionable, numbered step. Always ask: 'How will I measure it? In what units? Under what conditions?'
记忆窍门：“操作”这个词让人想到逐步方案。操作性定义就是把变量变成一个可操作、可度量的步骤。永远要问：“我要怎么测量它？用什么单位？在什么条件下？”
4. Reliability and Validity | 信度与效度
Reliability is about consistency. If you weigh yourself three times in a row and get 50 kg each time, the scales are reliable. Validity is about accuracy – do the scales actually show your true weight, or are they broken? A measurement can be reliable without being valid (always 5 kg too high), but a valid test is usually reliable.
信度讲的是稳定性。如果你连续三次称体重都得到 50 公斤，秤就是可信的。效度讲的则是准确性——秤显示的是你的真实体重吗？还是秤已经坏了？一个测量可以信度高却无效（每次都高出 5 公斤），但一个有效的测量通常是可信的。
Use the dartboard analogy: reliable data clusters tightly together, even if it misses the bullseye. Valid data hits the bullseye. You want both – tight clusters right at the centre.
用飞镖靶来类比：高信度的数据紧密聚集在一起，哪怕偏离靶心。高效度的数据击中靶心。你两者都想要——紧密聚集在靶心中央。
5. Population and Sample | 总体与样本
The population is the whole group you are interested in studying – for example, all Year 9 students in Northern Ireland. Because testing everyone is impossible, you select a sample, a smaller group drawn from the population. The sample must be representative so that conclusions can be generalised back to the population.
总体是你想研究的整个群体——比如北爱尔兰所有的 Year 9 学生。因为不可能测试每个人，你会选择一个从总体中抽取的较小群体，即样本。样本必须具有代表性，这样结论才能推广回总体。
Think of soup: the population is the whole pot. A sample is a spoonful you taste. If you stir the soup well (random sampling), that spoonful tells you what the whole pot is like.
用汤来想：总体是整锅汤。样本就是你品尝的一勺。如果你把汤搅拌均匀（随机抽样），这一勺就能告诉你整锅汤的味道。
6. Random Sampling and Stratified Sampling | 随机抽样与分层抽样
Random sampling gives every member of the population an equal chance of being picked – like pulling names out of a hat. It reduces bias but can accidentally produce an unbalanced group. Stratified sampling first splits the population into subgroups (strata), such as age bands or gender, and then takes a random sample from each subgroup in proportion. This helps guarantee representativeness.
随机抽样让总体中每个成员都有同等的被选机会——像从帽子里抽名字。它能减少偏差，但有可能偶然抽出不平衡的群体。分层抽样先把总体分成几个亚群（层），如年龄段或性别，然后按比例从每个亚群中随机抽取。这有助于保证代表性。
Memory aid: 'Random' rhymes with 'lottery'; 'Stratified' sounds like 'strata' (layers). Imagine a layer cake: you cut a proportional slice from each layer to get a perfect cross‑section of taste.
记忆辅助：随机 (random) 就像彩票抽奖；分层 (stratified) 像地层 (strata)。想象一个千层蛋糕：你从每一层按比例切下一片，得到完美的味道截面。
7. Experimental Design: Independent Measures, Repeated Measures, Matched Pairs | 实验设计：独立组、重复测量与配对组
Independent measures design uses different participants in each condition (e.g., group A gets loud music, group B gets quiet music). Repeated measures uses the same participants in all conditions. Matched pairs design pairs up participants on key traits (like IQ), then puts one from each pair into each condition, as if they were twins.
独立组设计在每个条件下使用不同的被试（例如 A 组听嘈杂音乐，B 组听安静音乐）。重复测量设计让同一组被试参与所有条件。配对组设计则按关键特征（如智商）将被试配对，然后每对中一人进入条件一，另一人进入条件二，就像双胞胎一样。
f each other). Repeated = same people again and again. Matched pairs = creating artificial 'twins' who are matched on important variables.
快速记忆：独立组 = 不同的人（互相独立）。重复测量 = 同一群人一遍又一遍。配对组 = 制造出在重要变量上匹配的人造“双胞胎”。
8. Ethical Guidelines in Psychology | 心理学伦理准则
The British Psychological Society (BPS) sets principles to protect participants: informed consent (participants know what they're getting into), deception (must be avoided unless necessary and then a full debrief is required), right to withdraw (can leave at any time), confidentiality (data stays private), and protection from harm (physical and psychological).
英国心理学会 (BPS) 制定保护被试的原则：知情同意（被试知道要参与什么）；欺骗（必须避免，除非必要且事后有完整的事后解说）；随时退出权（可随时退出）；保密（数据不外泄）；保护免受伤害（身体与心理双层）。
Use the 'C‑D‑R‑C‑P' mnemonic: Consent, Deception (avoid), Right to withdraw, Confidentiality, Protection. Imagine a superhero CD‑R‑C‑P who flies around saving participants from harm.
可以用“C‑D‑R‑C‑P”口诀：同意 (Consent)、欺骗 (Deception 避免)、退出权 (Right to withdraw)、保密 (Confidentiality)、保护 (Protection)。想象一位叫 CD‑R‑C‑P 的超级英雄飞来飞去拯救被试免受伤害。
9. Types of Data: Quantitative vs. Qualitative | 数据种类：定量与定性
Quantitative data is numerical – numbers that can be averaged, graphed, and statistically tested. Examples: reaction time in milliseconds, number of words remembered. Qualitative data is descriptive, in words – it captures thoughts, feelings, and experiences, like open‑ended interview responses. Quantitative tells you 'how much', qualitative tells you 'why' or 'how'.
定量数据是数字型的——可以求平均、画图并进行统计检验。比如反应时间以毫秒计，记住的单词个数。定性数据是描述性的，用文字呈现——它能捕捉思想、感受和经历，如开放式访谈回答。定量告诉你“有多少”，定性告诉你“为什么”或“怎么样”。
Link number to quantity – quant‑itative has 'quant' as in quantity. Qualitative has 'qual' as in quality. Picture a scientist holding a stopwatch (quant) and a notebook full of quotes (qual).
把数字和数量挂钩——定量 (quantitative) 里有 'quant'，就像数量。定性 (qualitative) 里有 'qual'，就像质量。想象一位科学家一手拿着秒表（定量），一手拿着写满引文的笔记本（定性）。
10. Measures of Central Tendency: Mean, Median, Mode | 集中趋势量数：平均数、中位数、众数
The mean is the arithmetic average – add all scores and divide by the number of scores. The median is the middle value when scores are arranged in order. The mode is the most frequently occurring score. Mean is sensitive to outliers (extreme values), while median is robust against them.
平均数就是算术平均值——所有分数相加再除以分数个数。中位数是把分数按顺序排列后最中间的值。众数是出现次数最多的分数。平均数对异常值（极端值）很敏感，而中位数对此比较稳健。
Memory: Arrange the words alphabetically: Mean, Median, Mode. Mean is the 'mean' one because it gets pushed around by outliers. Median is like the middle lane of a motorway. Mode sounds like 'most'. For a skewed distribution, use median to describe the typical score.
记忆：按字母顺序排列平均数、中位数、众数。平均数是那个“刻薄”的家伙，因为异常值会把它推来推去。中位数像高速公路的中间车道。众数听起来像“最多”。对于偏态分布，用中位数描述典型分数。
11. Scatterplots and Correlation | 散点图与相关
A scatterplot graphs two co‑variables to show their relationship. A positive correlation means as one variable increases, the other also increases (uphill pattern). Negative correlation means as one increases, the other decreases (downhill pattern). Zero correlation looks like a random cloud. Remember: correlation is not causation – just because two things are related doesn't mean one causes the other.
散点图用两个协变量作图来展示它们的关系。正相关意味着一个变量增加，另一个也增加（上坡模式）。负相关意味着一个增加，另一个减少（下坡模式）。零相关看起来像一团随机散点。记住：相关不等于因果——两件事有关联，不代表一件导致了另一件。
To quickly read a scatterplot, imagine a line of best fit. If it slopes up like a climbing ladder, it's positive. If it slopes down like a ski slope, negative. No slope, no correlation.
快速阅读散点图，想象一条最佳拟合线。如果像梯子向上走，那就是正相关。如果像滑雪坡向下，就是负相关。没有坡度，就没有相关。
12. Memory and Recall: Encoding, Storage, Retrieval | 记忆与回忆：编码、储存与提取
Memory works in three stages: encoding (converting information into a form the brain can store), storage (keeping it over time), and retrieval (getting it back out when needed). Think of a computer: typing (encoding), saving on a hard drive (storage), and opening the file later (retrieval).
记忆有三个阶段：编码（把信息转换为大脑能储存的形式）、储存（随时间保持它）和提取（在需要时把它取出来）。想象一台电脑：打字（编码），存进硬盘（储存），稍后打开文件（提取）。
Mnemonics improve encoding by making information meaningful or visual. Acronyms like 'C‑D‑R‑C‑P' work because they chunk information, making storage and retrieval easier. Always try to link new terms to a vivid mental image or a story.
助记法通过赋予信息意义或图像来改善编码。像“C‑D‑R‑C‑P”这样的首字母缩略词有效是因为它们把信息组块化了，让储存和提取都更容易。始终尝试把新术语连到一个生动的心理图像或故事上。
Published by TutorHao | Psychology Revision Series | aleveler.com
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