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Self-report study

Self-report study is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Self-report study rather than just read about it. In short: A self-report study is a type of survey, questionnaire, or poll in which respondents read the question and select a response by themselves without any outside interference. A self-report is any method which involves asking a participant about their feelings, attitudes, beliefs and so on.

Key takeaways

  • Self-report study belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Self-report study to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Self-report study from memory before moving on to harder problems.

Reference excerpt

A self-report study is a type of survey, questionnaire, or poll in which respondents read the question and select a response by themselves without any outside interference. A self-report is any method which involves asking a participant about their feelings, attitudes, beliefs and so on. Examples of self-reports are questionnaires and interviews; self-reports are often used as a way of gaining participants' responses in observational studies and experiments. Self-report studies have validity problems. Patients may exaggerate symptoms in order to make their situation seem worse, or they may under-report the severity or frequency of symptoms in order to minimize their problems. Patients might also simply be mistaken or misremember the material covered by the survey.

Questionnaires and interviews Questionnaires are a type of self-report method which consist of a set of questions usually in a highly structured written form. Questionnaires can contain both open questions and closed questions and participants record their own answers. Interviews are a type of spoken questionnaire where the interviewer records the responses. Interviews can be structured whereby there is a predetermined set of questions or unstructured whereby no questions are decided in advance. The main strength of self-report methods are that they are allowing participants to describe their own experiences rather than inferring this from observing participants. Questionnaires and interviews are often able to study large samples of people fairly easy and quickly. They are able to examine a large number of variables and can ask people to reveal behaviour and feelings which have been experienced in real situations. However, participants may not respond truthfully, either because they cannot remember or because they wish to present themselves in a socially acceptable manner. Social desirability bias can be a big problem with self-report measures as participants often answer in a way to portray themselves in a good light. Questions are not always clear and it is not known if respondents have really understood the question; in which case, valid data would not be collected. If questionnaires are sent out, say via email or through tutor groups, response rate can be very low. Questions can often be leading. That is, they may be unwittingly forcing the respondent to give a particular reply. Unstructured interviews can be very time consuming and difficult to carry out whereas structured interviews can restrict the respondents' replies. Therefore, psychologists often carry out semi-structured interviews which consist of some pre-determined questions and followed up with further questions which allow the respondent to develop their answers.

Open and closed questions Questionnaires and interviews can use open or closed questions or both. Closed questions are questions that provide a limited choice (for example, a participant's age or favorite type of football team), especially if the answer must be taken from a predetermined list. Such questions provide quantitative data, which is easy to analyze. However, these questions do not allow the participant to give in-depth insights. Open questions are those questions that invite the respondent to provide answers in their own words and provide qualitative data. Although these types of questions are more difficult to analyze, they can produce more in-depth responses and tell the researcher what the participant actually thinks, rather than being restricted by categories.

Rating scales One of the most common rating scales is the Likert scale. A statement is used and the participant decides how strongly they agree or disagree with the statements. For example, the participant decides whether pizza is great with the options of "strongly agree", "agree", "undecided", "disagree", and "strongly disagree". One strength of Likert scales is that they can give an idea about how strongly a participant feels about something. This therefore gives more detail than a simple yes no answer. Another strength is that the data are quantitative, which are easy to analyse statistically. However, there is a tendency with Likert scales for people to respond towards the middle of the scale, perhaps to make them look less extreme. As with any questionnaire, participants may provide the answers that they feel they should. Moreover, because the data is quantitative, it does not provide in-depth replies.

Fixed-choice questions Fixed-choice questions are phrased so that the respondent has to make a fixed-choice answer, usually "yes" or "no". This type of questionnaire is easy to measure and quantify. It also prevents a participant from choosing an option that is not in the list. Respondents may not feel that their desired response is available. For example, a person who dislikes all alcoholic beverages may feel that it is inaccurate to choose a favorite alcoholic beverage from a list that includes beer, wine, and liquor, but does not include none of the above as an option. Answers to fixed-choice questions are not in-depth.

Reliability Reliability refers to how consistent a measuring device is. A measurement is said to be reliable or consistent if the measurement can produce similar results if used again in similar circumstances. For example, if a speedometer gave the same readings at the same speed, it would be reliable; otherwise, it would be pretty useless and unreliable. Importantly, reliability of self-report measures, such as psychometric tests and questionnaires can be assessed using the split half method. This involves splitting a test into two and having the same participant doing both halves of the test.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Self-report study

Start with the simplest possible case. Write down what Self-report study claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Self-report study before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Self-report study ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Self-report study

In research
Self-report study appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Self-report study in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Self-report study is common in secondary-school and first-year university syllabi. It links to neighbouring topics Self-report inventories, Survey methodology, so understanding it makes those chapters shorter.
In everyday life
Look for Self-report study outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Self-report study in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Self-report study means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Self-report study out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Self-report study in simple terms?

A self-report study is a type of survey, questionnaire, or poll in which respondents read the question and select a response by themselves without any outside interference. A self-report is any method which involves asking a participant about their feelings, attitudes, beliefs and so on.

Why does Self-report study matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Self-report study?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Self-report study.

Tags

  • Self-report inventories
  • Survey methodology

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