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Steps in the Research Process

🎯 Learning Objectives​

After studying this topic, you will be able to:

  • List and explain each of the seven steps in the research process
  • Describe the role of literature review in identifying and refining research problems
  • Distinguish between independent, dependent, and extraneous variables
  • Explain the purpose of a research design and the criteria for selecting one
  • Describe the options for data analysis and interpretation

📄 Source Reference​

Source PDF: 📄 Block-1/Unit-1.pdf — Pages 11–16
Course: MPC-005 Research Methods in Psychology

Overview: The Research Process as a System​

Research is not a linear, mechanical sequence — it is better understood as a cyclical and iterative system in which each step informs subsequent ones and conclusions often loop back to generate new questions. However, for clarity, the process can be structured into seven principal steps:

Step I: Identification of the Problem​

The first and most important step is identifying a researchable question — one that arises from curiosity, practical need, or theoretical gaps. Psychological research typically addresses questions of one of three kinds:

  1. What are the causes or determinants of a given behaviour?
  2. What is the structure of a behaviour and how is it linked to other behaviours?
  3. What are the relationships between internal psychological processes and behavioural phenomena?

How to Identify a Good Problem​

A good research problem should:

  • Not have been adequately investigated before
  • Contribute meaningfully to understanding of the topic
  • Be feasible — accessible to the researcher given available time, funds, and expertise
  • Lead to further questions — generative of new lines of inquiry

The Critical Role of Literature Review​

A literature review surveys prior work in a research domain. It is not optional — it is essential. Literature can be found in:

  • Journals (e.g., Psychological Science, Journal of Abnormal Psychology)
  • Books and edited volumes
  • Abstracts and indexes — notably PsycINFO (APA's electronic database) and its print companion Psychological Abstracts

Four functions of the literature review:

FunctionDescription
Identifying relevant variablesClarifies which variables have been found important (or unimportant) in related work
Assessing prior workPrevents duplication; reveals opportunities for meaningful extension
Systematising knowledgeHelps the researcher organise the growing body of knowledge and draw useful conclusions
Refining the problemHelps redefine variables, clarify meanings, and build a compelling case for the study's merit

Step II: Formulating a Hypothesis​

Once the problem is identified and the literature reviewed, the researcher formulates a hypothesis — a tentative, testable statement of the relationship between variables.

Hypotheses are typically derived from:

  • Existing theories
  • Prior research findings
  • Personal observations and clinical experience

Properties of a Good Hypothesis​

PropertyExplanation
DeclarativeStated as a sentence, not a question
Testable/FalsifiableMust be possible to show it is wrong
Prior to data collectionNever formulated after data are examined (this introduces confirmation bias)
PreciseClearly identifies the variables and the expected relationship

Example: "Students who are rewarded will require fewer trials to learn a word list than students who receive no reward."

Null vs. Alternative Hypothesis​

In practice, statistical analysis tests the null hypothesis (H₀) — the assumption that there is no effect — against the alternative hypothesis (H₁) — the expected effect. Rejecting H₀ provides support for H₁.

Step III: Identifying, Manipulating, and Controlling Variables​

Types of Variables​

Variable TypeDefinitionExample (Reward & Learning Study)
Independent Variable (IV)The condition or characteristic manipulated or selected by the researcher to study its effectReward (present vs. absent)
Dependent Variable (DV)The characteristic that changes as a function of the IV; what is measuredNumber of trials to reach criterion learning
Extraneous Variable (EV)Uncontrolled variable that may affect the DV; must be controlledPrior knowledge of the words, time of day, participant motivation

The goal of good experimental design is to ensure that any observed change in the DV can be attributed confidently to the manipulation of the IV, not to uncontrolled EVs.

Operational Definitions of Variables​

Because psychological variables are often abstract and complex, they must be operationally defined — that is, defined in terms of the precise operations used to produce or measure them. This allows:

  • Precise measurement
  • Clear communication to other researchers
  • Replication across laboratories

Common operational measures in psychology:

  • Verbal measures — questionnaires, self-reports, ratings
  • Behavioural measures — response time, frequency of specific actions, error rates
  • Physiological measures — heart rate, cortisol levels, EEG readings

Step IV: Formulating a Research Design​

A research design is the blueprint specifying how the study will be conducted — it defines the logic of inquiry and specifies how to control for threats to validity.

What a Research Design Must Specify​

Types of Research Design (Overview)​

Design TypeWhen Used
ExperimentalTesting causal hypotheses; IV is manipulated; participants randomly assigned
Quasi-experimentalIV exists naturally; no random assignment
CorrelationalExamining relationships without manipulation
Survey/DescriptiveDescribing characteristics of a population
Case StudyIn-depth investigation of an individual or group

Key principle: A faulty design produces misleading findings. Empirical investigation is primarily evaluated in light of the research design adopted.

4.1 Constructing Tools for Observation and Measurement​

Once the design is formulated, the researcher selects or develops appropriate data collection instruments:

  • Questionnaires (e.g., Beck Depression Inventory)
  • Interview schedules (structured or semi-structured)
  • Observational checklists
  • Standardised tests

If validated instruments are available, they should be used rather than ad hoc tools; if not, new instruments must be developed and pilot-tested before the main study.

4.2 Sample Selection and Data Collection​

The researcher decides:

  • Who will participate (sample from the target population)
  • How many (sample size — balancing statistical power with feasibility)
  • How data will be collected (individual vs. group administration; online vs. in-person)

In psychology, participants may include children, adolescents, college students, teachers, managers, clinical patients, or other groups in whom the phenomenon is prevalent. Sample selection must also address considerations of:

  • Cost and accuracy
  • Reliability and validity of data collection procedures
  • Ethical treatment of participants

Step V: Data Analysis and Interpretation​

After data are collected, they are analysed using quantitative and/or qualitative techniques. The purpose of analysis is to make sense of the data — to see what they reveal about the research hypotheses.

Types of Statistical Analysis​

Analysis TypeWhen Used
UnivariateOne characteristic of interest; e.g., mean score on a depression measure
BivariateTwo characteristics; e.g., correlation between anxiety and performance
MultivariateMore than two characteristics; e.g., multiple regression, MANOVA

Parametric vs. Non-Parametric Statistics​

TypeWhen Used
ParametricData meet assumptions of normality and interval/ratio scale
Non-ParametricData are ordinal/nominal or do not meet parametric assumptions

General goal of statistical analysis: Reject the null hypothesis (H₀) so that the alternative hypothesis (H₁) may be supported. This is achieved when the probability of the observed result occurring by chance falls below the accepted significance level (typically p < 0.05).

Step VI: Drawing Conclusions​

After analysing results, the researcher draws conclusions — generalisations from the sample to the broader population. At this stage:

  • Hypotheses are accepted or rejected
  • Conclusions are related back to the theory from which the hypothesis was derived
  • If necessary, the original theory is modified to accommodate new findings

Important constraints on conclusions:

  • Conclusions must be proportional to the evidence — avoid overgeneralisation
  • Conclusions from one culture, gender, or age group may not apply universally (external validity concern)
  • Statistical significance does not equal practical significance

Step VII: Preparation of Report and Publication​

The final step documents all stages of the research in a standardised scientific report. A complete report:

  • Describes what was done, what was found, and what conclusions were drawn
  • Follows a standard format (typically: Abstract, Introduction, Method, Results, Discussion, References)
  • Allows other researchers to replicate the study
  • Is submitted for peer review and, if accepted, published in scientific journals or books

Publication makes findings available for:

  • Wider scientific scrutiny and critique
  • Integration into meta-analyses and systematic reviews
  • Application to practical problems in clinical, educational, or organisational psychology

🌍 Real-World Application: Research in Indian Psychology​

The seven-step process applies across all domains of psychology. In India, researchers at institutions like NIMHANS (Bengaluru), AIIMS, and IIT's psychology departments regularly publish studies following exactly this sequence. Indian-specific variables — such as joint family dynamics, caste identity, collectivist value systems — are increasingly being incorporated as important research foci rather than afterthoughts.

📚 External Resources​

Wikipedia​

Educational Videos​

Research Papers​

  • Hulley, S. B., et al. (2013). Designing Clinical Research (4th ed.). Lippincott Williams & Wilkins — the gold standard text on research design principles
  • Field, A. & Hole, G. (2003). How to Design and Report Experiments. SAGE Publications — practical, accessible guide to experimental design

Additional Resources​

🧠 Memory Aids​

Mnemonic: IFIVDCD — The 7 Steps​

Identify the Problem · Formulate Hypothesis · Identify Variables · Verify through Design · Data Analysis · Conclusions · Disseminate (Report)

Memory sentence: "If Freda Is Very Determined, Creative Discoveries Follow."

Variables in One Line​

IV is what you do (Independent = you Intervene)
DV is what you measure (Dependent = it Depends on IV)
EV is what you control (Extraneous = everything Else)

✅ Self-Assessment Questions​

  1. Why must a hypothesis be formulated before data collection? What methodological problem arises from formulating a hypothesis after seeing the data?

  2. A researcher wants to study whether background music affects exam performance. Identify the IV, DV, and at least two EVs you would need to control. Write an operational definition for each variable.

  3. Distinguish between a research design and a research method. Why is selecting an appropriate research design so critical?

  4. What are the four functions of a literature review? Illustrate each function with an example from psychological research.

  5. Explain the difference between parametric and non-parametric statistics. Under what conditions would a researcher choose a non-parametric test?

🔗 Cross-References​

📄 Source: MPC-005 Research Methods, Block-1, Unit-1, Pages 11–16 | IGNOU