Methods of Enquiry in PsychologyClass 11 Psychology Notes

Goals of Psychological Enquiry

Psychology, like any science, has specific goals when it investigates experiences, behaviours, and mental processes. The aim is not just to know about behaviour, but to understand it in a systematic and objective way.

The primary goals of psychological enquiry are:

• Description: The first step is to describe a behaviour or phenomenon as accurately as possible. This involves carefully recording and detailing what is happening, which helps distinguish one behaviour from another. [!example] If a researcher wants to study "study habits," they first need to describe what that means. It could include behaviours like attending classes regularly, submitting assignments on time, planning a study schedule, and revising daily. A clear description is the foundation for proper understanding.

• Prediction: Once a behaviour is well-described, the next goal is to predict when it might happen again. By understanding the relationship between different behaviours or events, psychologists can forecast future behaviour with a certain degree of accuracy. [!example] If research shows a positive relationship between the amount of time spent studying and exam scores, a psychologist can predict that a student who studies more is likely to get good marks.

• Explanation: This goal seeks to answer the "why" question. Psychologists want to identify the causes or determinants of behaviour. This involves finding the antecedent conditions—the conditions that existed before a behaviour occurred—to establish a cause-and-effect relationship. [!example] Instead of just knowing that some children are more attentive, a researcher would try to explain why. What factors cause some children to be more attentive while others are not?

• Control: Once we can explain why a behaviour occurs, we can try to control it. Control in psychology means being able to make a behaviour happen, reduce it, or enhance it by changing its antecedent conditions. [!example] Psychological therapies are a good example of control. A therapist helps a person change certain behaviours or thought patterns to improve their well-being. Similarly, to improve study habits, one could increase the number of study hours.

• Application: The final goal is to use the knowledge gained to bring about positive changes in people's lives. Psychological research is applied to solve real-world problems and improve the quality of life. [!example] The application of yoga and meditation techniques to help reduce stress and increase efficiency is a direct result of psychological research.

Steps in Conducting Scientific Research

To be considered a science, psychology must investigate its questions in an objective, systematic, and testable manner. Objectivity means that if two different people study the same event, they should arrive at the same conclusion. The scientific method follows a systematic series of steps.

1. Conceptualising a Problem: The research process begins when a researcher chooses a topic and narrows it down to specific research questions. This is often based on reviewing past research, personal observations, or experiences. After identifying the problem, the researcher forms a hypothesis, which is a tentative, testable statement about the relationship between two or more variables. [!example] A researcher might be interested in the effect of media on children. They could form a hypothesis like: "The greater the amount of time spent by children viewing violence on television, the higher the degree of aggression they display." The research would then aim to test if this statement is true or false.

2. Collecting Data: The second step is to create a research design or blueprint for the study. This involves making key decisions about:

   • Participants: Who will be studied (e.g., children, adults, students, patients)?
   • Methods: Which method will be used (e.g., observation, experiment, survey)?
   • Tools: What tools are needed (e.g., questionnaire, interview questions)?
   • Procedure: How will the data be collected (e.g., individually or in a group)? After planning, the researcher proceeds with the actual collection of data.

3. Drawing Conclusions: Once data is collected, it must be analysed to understand what it means. This is often done using statistical procedures and graphical representations (like bar diagrams or pie charts). The purpose of analysis is to see if the data supports or rejects the hypothesis.

4. Revising Research Conclusions: The final step is to evaluate the conclusion. If the data supports the hypothesis, the existing theory is confirmed. If it does not, the researcher must revise their hypothesis or theory and test it again with new data. This shows that research is a continuous process.

Alternative Paradigms of Research

For a long time, psychology followed the methods of natural sciences like physics and chemistry, assuming that human behaviour is predictable, caused by identifiable forces, and can be observed and measured objectively. This approach focused on overt behaviour (what can be seen and measured) and not on personal feelings or experiences.

More recently, an interpretive method has emerged. This approach argues that human behaviour is complex and variable, so it should be studied differently from the physical world.

• It emphasizes understanding over explanation and prediction.
• It focuses on how humans give meaning to events and actions in a particular context.
• The goal is to explore human experiences without trying to control or disturb their natural flow.

Nature of Psychological Data

Psychologists collect various types of information, called data (singular: datum), from different sources. This data relates to an individual's behaviour (both overt and covert), subjective experiences, and mental processes.

Key characteristics of psychological data:

• Context-Dependent: Data is not independent. It is tied to the physical or social context, the people involved, and the time it was collected. We behave differently when we are alone versus in a group.
• Method-Dependent: The method of data collection (e.g., survey, experiment) and the characteristics of the participants (e.g., age, gender) influence the nature and quality of the data.
• Requires Interpretation: Data does not speak for itself. A researcher must interpret it and attach meaning to it within its proper context.

Types of Data

• Demographic Information: Personal information like name, age, gender, education, occupation, family income, etc.
• Physical Information: Information about the environment, such as housing conditions, facilities available at home or school, and mode of transportation.
• Physiological Data: Biological data such as height, weight, heart rate, blood pressure, and brain activity (measured by an EEG).
• Psychological Information: Data related to intelligence, personality, interests, values, creativity, emotions, and other mental processes or subjective experiences.

Some Important Methods in Psychology

Psychologists use a variety of methods to collect the different types of data needed for their research. The choice of method depends on the research question. The most common methods are observation, experimental, correlational, survey, psychological testing, and case study.

Observational Method

Observation is a powerful method for describing behaviour as it occurs. Scientific observation is different from everyday observation because it is more systematic.

• Selection: Psychologists select a particular behaviour to observe, rather than trying to watch everything.
• Recording: The observer records the selected behaviour using tools like note-taking, checklists, video recording, or photographs.
• Analysis: After recording, the observer analyses the data to derive meaning from it.

Types of Observation

• Naturalistic vs. Controlled Observation:

  • Naturalistic Observation is done in a natural, real-life setting (like a school or hospital) where the observer does not try to manipulate or control the situation.
  • Controlled Observation is done in a laboratory setting where certain factors can be controlled. This is often used in experiments.

• Non-Participant vs. Participant Observation:

  • In Non-Participant Observation, the observer watches from a distance and does not become a part of the group being observed. The individuals may not even know they are being watched.
  • In Participant Observation, the observer becomes a part of the group they are observing. The observer first builds a rapport with the group so they are accepted as a member.

Advantages: It allows researchers to study behaviour in a natural situation. Limitations: It can be time-consuming, labour-intensive, and is susceptible to observer's bias, where the observer's personal beliefs influence how they interpret what they see.

Experimental Method

Experiments are conducted to establish a cause-and-effect relationship between two sets of variables in a controlled setting. The researcher manipulates one factor (the cause) to see its effect on another factor (the effect), while keeping all other related factors constant.

The Concept of Variable

A variable is any stimulus or event that changes or takes on different values and can be measured.

• Independent Variable (IV): This is the variable that the researcher manipulates or changes. It is considered the "cause."
• Dependent Variable (DV): This is the behaviour or phenomenon on which the effect of the independent variable is observed. It is considered the "effect."

• Independent Variable: The presence or absence of other people in the room (the cause, which was manipulated by having students wait alone, with two other real students, or with two confederates who did nothing).
• Dependent Variable: The frequency of reporting the smoke (the effect, which was measured).

Experimental and Control Groups

• An experimental group is the group whose members are exposed to the manipulation of the independent variable.
• A control group is a comparison group that is treated exactly like the experimental group in every way, except the manipulated variable is absent. This helps researchers confirm that the change in the dependent variable was caused by the independent variable and not something else.

Strengths: Can provide convincing evidence of a cause-and-effect relationship. Weaknesses:

• Results may not generalize to real-world situations because of the highly controlled lab setting (low external validity).
• It is not always possible or ethical to conduct an experiment on certain problems (e.g., studying the effects of malnutrition).
• It is difficult to know and control all relevant variables.

Field Experiments and Quasi Experiments

• Field Experiments are conducted in natural settings (like a school or office) instead of a lab. This increases generalisability but reduces the researcher's control over extraneous variables.
• Quasi Experiments are used when the researcher cannot manipulate the independent variable, such as in studying the effects of an earthquake. Instead, the researcher selects an independent variable (e.g., children who lost their parents vs. those who did not) and uses naturally occurring groups as the experimental and control groups.

Correlational Research

This method is used to determine the relationship between two variables for prediction purposes. It finds out if two variables are associated or "co-vary," but it does not establish a cause-and-effect relationship.

The strength and direction of the relationship are represented by a number called the correlation coefficient, which ranges from +1.0 to -1.0.

• Positive Correlation: As one variable increases, the other variable also increases (and as one decreases, the other decreases). A strong positive correlation is close to +1.0. [!example] The relationship between hours of study time and academic achievement. More study time is associated with higher scores.
• Negative Correlation: As one variable increases, the other variable decreases. A strong negative correlation is close to -1.0. [!example] The relationship between hours of study time and hours spent in other activities. As study time increases, time for other activities decreases.
• Zero Correlation: No relationship exists between the two variables. The correlation coefficient is close to 0.

Survey Research

Survey research is used to study opinions, attitudes, and social facts. It uses techniques like personal interviews, questionnaires, and telephone surveys to collect information from a large number of people.

Personal Interviews

An interview is a face-to-face conversation where an interviewer asks questions to an interviewee.

• Structured Interview: The questions are pre-written in a specific order, and the interviewer has little flexibility. Questions are often close-ended (e.g., Yes/No).
• Unstructured Interview: The interviewer has the flexibility to decide the questions and their order. Questions are often open-ended, allowing the respondent to answer freely.

Questionnaire Survey

A questionnaire is a set of predetermined questions that the respondent reads and answers on paper.

• Open-ended questions allow respondents to write whatever answer they think is appropriate.
• Closed-ended questions provide probable answers, and the respondent has to select one (e.g., multiple choice, rating scales).

Advantages of Surveys: Information can be gathered quickly and efficiently from thousands of people. Limitations of Surveys:

• People may give inaccurate information due to memory lapses or social desirability (giving answers they think the researcher wants to hear).
• The response rate for mailed or telephonic surveys can be low, leading to biased results.

Psychological Testing

Psychological tests are used to assess individual differences in various human characteristics like intelligence, personality, and aptitude.

A psychological test is a standardised and objective instrument used to assess an individual's standing in relation to others.

• Objectivity: If two researchers administer the same test to the same person, they should get the same results.
• Standardisation: The test is administered and scored in a consistent, or "standard," way. This also involves developing norms, which are the average performance of a large group. Norms help in comparing an individual's score to others in the same group.

Key Characteristics of a Good Test

• Reliability: The consistency of scores obtained by an individual on the same test on two different occasions.
• Validity: The test measures what it claims to measure. A test of math achievement should measure math skills, not language proficiency.

Types of Tests

• Verbal, Non-verbal, and Performance Tests: Based on the language and response required.
• Individual or Group Tests: Based on whether the test is administered to one person at a time or to a large group.
• Speed and Power Tests: A speed test has a time limit and measures how quickly one can answer. A power test has no time limit and measures underlying ability, with items arranged in increasing order of difficulty.

Case Study

A case study is an in-depth study of a particular case. The case can be an individual, a small group, an institution, or a specific event. This method is useful for studying unique or less understood phenomena.

• It uses multiple methods (interview, observation, psychological tests) to collect information from various sources.
• It provides a rich, narrative description of the events in a person's life.
• It is a valuable tool in clinical psychology and human development. Famous theorists like Sigmund Freud and Jean Piaget used case studies to develop their theories.

Strengths: Provides detailed, in-depth information. Limitations: The findings from a single case are difficult to generalize to the larger population.

Analysis of Data

After collecting data, the researcher must analyse it to draw conclusions. There are two main approaches to data analysis.

Quantitative Method

This method is used when data is in the form of numbers or scores, often collected from psychological tests, questionnaires, or structured interviews. The researcher converts psychological attributes into quantities (numbers). Statistical procedures like calculating the mean, median, mode, and correlation are then used to analyse the data and make inferences.

Qualitative Method

This method is used when data is descriptive and cannot be converted into numbers, such as interview responses, field notes, or photographs. Human experiences are complex, and quantification can sometimes lead to a loss of that complexity. Researchers use techniques like narrative analysis or content analysis to identify themes and categories from the descriptive data.

Limitations of Psychological Enquiry

Psychological research faces some general challenges and limitations.

1. Lack of True Zero Point: Unlike in physical sciences (where you can have zero length), psychological measurements do not have a true zero point. For example, no person has zero intelligence. Psychologists arbitrarily decide a point as zero, which means the scores obtained are relative, not absolute.
2. Relative Nature of Psychological Tools: Psychological tests are developed for a specific context. A test designed for urban students may not be suitable for tribal students because the items might be unfamiliar. Similarly, tests from Western countries often need to be modified and adapted for use in the Indian context.
3. Subjective Interpretation of Qualitative Data: Qualitative data relies on interpretation by the researcher, which can be subjective. Different researchers might interpret the same data differently. To counter this, it is often recommended that more than one investigator conduct the fieldwork and discuss their observations to reach an agreement.

Ethical Issues

Because psychological research involves human beings, researchers must follow strict ethical guidelines to protect the participants.

• Voluntary Participation: Participants must have the choice to decide whether or not to participate in a study, without any coercion. They must also be free to withdraw at any time without penalty.
• Informed Consent: Participants must be given enough information about the study before it begins so they can make an informed decision about participating. This is especially important if the study involves deception or potentially unpleasant stimuli.
• Debriefing: After the study is over, participants must be provided with complete information to understand the research. This is crucial if deception was used. Debriefing ensures participants leave the study in the same mental and physical state as when they entered.
• Sharing the Results of the Study: It is the researcher's moral duty to share the findings of the study with the participants. This fulfills their expectations and can sometimes provide the researcher with new insights.
• Confidentiality of Data Source: The researcher must protect the privacy of the participants by keeping the information they provide strictly confidential. The information should only be used for research purposes. To ensure this, identities are often removed and replaced with code numbers.