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Summary

Summary Research Methods

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Summary of different research methods in clinical psychology

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Research Methods
Primary Data: Secondary Data:
Data collected directly from original sources for a Data that has already been collected, processed, and
specific research purpose or to answer specific made available by someone else, typically for a
research questions. purpose different from the current research.
Originality: It is newly gathered and not previously Pre-existing: It is data that has already been
collected for other purposes. collected and processed.
Specificity: It directly addresses the objectives of Cost-effective and Time-saving: Researchers save
the study or research question. time and resources by utilizing data that is readily
Control over Quality: Researchers have direct available.
control over the data collection process, allowing for Accessibility: It is often easier to access as it is
customization and ensuring data integrity. widely published or available through organizations,
Surveys and Questionnaires: Used to collect opinions, databases, or libraries.
demographics, and other information directly from Government Publications: Census data, labor
respondents. statistics, or health records.
Interviews: Conducted to gain in-depth insights Academic Journals and Research Papers: Published
from individuals on specific topics. findings from previous studies.
Experiments: Controlled tests conducted to study Industry Reports and Market Analyses: Insights on
cause-and-effect relationships. trends, consumer behavior, and market statistics.
Observations: Gathering information through direct Historical Records and Databases: Archives,
observation of behaviours or events. libraries, or digital repositories.


Longitudinal Research:
Takes place over a long period of time.
Involves comparing a single sample group with their own performance over time.
Allows for development and time related changes to be measured.
Clinicians may be interested in monitoring changes in symptoms in a patient group undergoing a certain treatment.
Longitudinal data is valuable for observing changes over time across a larger group, while case studies provide in-
depth insights into unique or complex subjects within a specific context but is time consuming and more expensive.


Cross-Sectional Data:
Single Time Point: All data is gathered at one specific time, rather than over a period.
Variety of Subjects: It includes multiple subjects, such as individuals, organizations, or geographic areas, but
observes each only once.
Purpose: Often used to understand associations or correlations between variables, measure prevalence, or describe
characteristics across different groups.
Analysis: Typically involves comparisons across groups (e.g., age, income, education level) to identify patterns or
trends that exist at the time of data collection.
Correlational Insight: Cross-sectional studies are particularly useful for identifying associations or patterns
between variables but are limited in determining causation.

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