Research instruments refer to the tools or techniques that researchers use to collect data for their studies. There are 4 main types of research instruments: questionnaires, interviews, observations, and tests. Each instrument has its own strengths and weaknesses that make it suitable for gathering certain types of data.
Questionnaires
Questionnaires are one of the most commonly used research instruments. They involve asking study participants to respond to a series of questions or statements. Questionnaires can be administered in different ways including online, paper-and-pencil, face-to-face, or over the phone. Some key things to know about questionnaires:
- They are excellent for gathering large amounts of data from many people.
- Multiple choice, rating scales, checklists, and open-ended questions can be used.
- They are low cost and easy to analyze.
- However, they rely on participants’ honesty and accuracy.
Some examples of when questionnaires work well include market research, political polling, workplace satisfaction surveys, and collecting demographic information. Questionnaires allow researchers to gather quantitative data that can be statistically analyzed as well as qualitative data from open-ended questions.
Types of Questionnaires
There are different types of questionnaires that may be used:
- Self-administered questionnaires – Participants complete the questionnaire themselves without the researcher being present. Mailed surveys, online surveys, mobile surveys fall into this category.
- Interviewer-administered questionnaires – The researcher asks the questions verbally and records participants’ responses. Telephone surveys and face-to-face interviews are examples.
Designing Effective Questionnaires
When creating a questionnaire, researchers should follow best practices such as:
- Asking clear, concise, and unbiased questions.
- Considering the question order and flow.
- Keeping the questionnaire as short as possible to avoid survey fatigue.
- Pilot testing the questionnaire to identify any issues.
- Checking the questionnaire’s validity and reliability.
Interviews
Interviews involve researchers asking questions verbally and recording participants’ answers. Interviews are often semi-structured – they include a mix of more open-ended questions with some pre-set questions. Interviews allow researchers to gather in-depth, qualitative insights from participants. Key aspects of interviews:
- Provide detailed, rich qualitative data.
- Allow the interviewer to ask follow-up questions.
- Capture non-verbal forms of communication.
- But they can be time consuming compared to questionnaires.
Examples of when interviews may be appropriate include an anthropologist studying cultural beliefs or a psychologist exploring people’s relationships. Interviews are useful when researchers want to fully understand someone’s impressions, experiences, or perspectives.
Types of Interviews
Some different types of interviews include:
- Structured interviews – The interviewer asks a standardized set of pre-determined questions with limited response options. This format is similar to questionnaires.
- Unstructured interviews – The interviewer asks open-ended questions that lead wherever the conversation goes. There is flexibility to ask additional questions.
- Semi-structured interviews – Involves key pre-set questions while also allowing digressions and additional queries. This blended approach is commonly used.
Conducting Interviews
Tips for effectively conducting interviews include:
- Establishing rapport with the interviewee.
- Asking clear, neutral questions.
- Being an active listener – letting people fully explain views.
- Using probes to get more detail when needed.
- Recording responses accurately without introducing bias.
Observations
Observations are a research method where the researcher watches study participants and systematically records their behaviors, actions, and interactions. Observational studies take place in natural settings rather than controlled lab environments. Key aspects include:
- Allow studying behavior as it naturally occurs.
- Useful for certain behaviors that people may be unwilling to honestly report.
- Provide direct information rather than participants’ recalled version of events.
- But observer bias can influence results.
Observation works well for research questions where real-world behaviors or social interactions are relevant. Examples include observing children on a playground to study social development or watching consumers in a store to study purchasing decisions.
Types of Observations
Observation studies can take different forms:
- Naturalistic observation – The researcher observes behaviors unobtrusively without any intervention. The goal is to avoid influencing what is being studied.
- Participant observation – The researcher joins in and becomes part of the setting/activity being observed to gain an insider perspective.
- Structured observation – The researcher uses a detailed coding scheme or checklist to record exactly defined behaviors as they occur.
Conducting Observations
Tips for effective observations include:
- Determining a clear focus – what exactly will be observed and recorded.
- Carefully selecting a setting that permits observation of the behaviors of interest.
- Developing a detailed protocol for recording observations to minimize bias.
- Using proper ethical procedures – informed consent, avoiding deceptive tactics.
Tests
Researcher-designed tests are another common instrument used to collect data. These involve asking research participants to complete an assessment that measures particular skills, knowledge, abilities, or attributes. Some key aspects of tests:
- Help quantify constructs, abilities, skills, etc.
- Well-designed tests have strong reliability and validity.
- Permit standardization – same questions/tasks for all participants.
- But developing accurate, unbiased tests can be challenging.
Examples of when researcher-designed tests can be useful include assessing students’ knowledge in different academic subjects, evaluating job candidates’ skills for a particular role, or measuring intelligence and other psychological attributes.
Types of Tests
There are different types of tests that may be used:
- Cognitive tests – Measure abilities like memory, attention, reasoning, knowledge, spatial skills, language, etc.
- Achievement tests – Measure knowledge/skills in specific domains like academic subjects (math, science), occupations, etc.
- Aptitude tests – Assess natural abilities related to learning/performing different tasks.
- Personality tests – Measure stable personality traits, behaviors, emotional states, etc.
Developing Tests
Important steps when creating a test include:
- Determine exactly what should be measured.
- Create a range of items/questions that assess the construct.
- Check reliability – test should produce consistent scores.
- Assess validity – test should actually measure what it aims to.
- Standardize administration procedures for all takers.
Comparing the Major Research Instruments
Each of the 4 main research instruments has unique strengths making them suited to gathering certain types of data. Here is a comparison of some of the key features:
Instrument | Key Strengths | Weaknesses | Types of Data Gathered |
---|---|---|---|
Questionnaires | – Efficient data collection from many people – Cost effective – Convenient for participants |
– Reliant on honesty/accuracy – Can lack depth |
Quantitative, qualitative |
Interviews | – Rich qualitative insights – Flexibility to probe topics in-depth |
– Time intensive – Potential interviewer bias |
In-depth qualitative |
Observations | – View behaviors in natural settings – Does not rely on self-report |
– Time consuming – Risk of observer bias |
Descriptive data on behaviors |
Tests | – Can quantify skills/attributes – Standardized administration |
– Developing quality tests is difficult – Artificial conditions |
Quantitative |
This comparison highlights how each instrument has particular advantages that make it useful for gathering certain types of information. Researchers should carefully consider what method aligns best with their specific research questions and goals.
Combining Research Instruments
Using multiple research instruments together can often strengthen a study. Some ways combining instruments can benefit research include:
- Providing diverse types of complementary data – for example, interviews might put questionnaire results into richer context.
- Allowing triangulation – cross-verifying findings using different methods to increase validity.
- Gaining broader perspectives – mixed methods reduce reliance on a single tool.
However, using multiple instruments also adds complexity in terms of time, resources, and analysis. The benefits should outweigh the added burdens. Researchers should select complementary instruments that adequately answer the research questions.
Examples of Studies Using Different Instruments
Here are some examples of how different research instruments can be applied:
Interviews
A psychologist exploring how couples resolve conflicts could interview married partners separately about recent disagreements in their relationship. Asking probing questions would reveal insights about conflict resolution strategies used.
Questionnaires
A public health researcher interested in teen smoking behaviors could survey a sample of high school students. An anonymous questionnaire would gather data on smoking frequency, age of onset, attitudes, and demographic factors.
Observations
An elementary teacher wants to know how boys and girls interact on the playground. Structured observations during recess would allow quantifying behaviors like cooperation, aggression, leadership, and social exclusion.
Tests
A personnel psychologist is creating a new test to assess management potential for leadership training program applicants. The test aims to measure judgment, decision-making, strategic thinking, and other skills.
Conclusion
Questionnaires, interviews, observations, and tests represent the 4 fundamental tools researchers rely on to gather data. Each instrument has particular strengths and weaknesses. Questionnaires offer efficient quantitative data collection while interviews provide rich qualitative insights. Observations capture real-world behaviors and tests help quantify attributes. Using multiple complementary instruments can improve research quality. Overall, selecting appropriate research instruments aligned with study goals is key to gathering useful data.