research psych

Overview of Research Articles

  • Empirical Articles

    • Definition: Research studies that collect and analyze data to answer specific questions or tests hypotheses.

    • Importance: These articles provide firsthand findings that support individual research projects.

  • Review Articles

    • Definition: Summarize and synthesize existing research studies on a particular topic.

    • Importance: They help in understanding the broader context of research and identifying gaps in literature.

Study Guides and Research Preparation

  • Exercise Organization:

    • Construct reviews of existing knowledge for clarity.

    • Importance of detail: A thorough hierarchical outline is recommended to aid in identifying knowledge gaps during study.

  • Exam Preparation:

    • A study guide for Exam 1 has been uploaded.

    • Early completion is suggested for better retention and understanding.

Bias Identification Exercise

  • Example of Availability Bias:

    • Scenario: A person thinks of their mother calling five minutes late and contemplates their psychic ability.

    • Activity: Class discussion to identify biases present in statements about perceptions.

  • Alan's Literature Review Case:

    • Focus: Only including positive impacts of mindfulness and anxiety highlights confirmation bias.

Week 2 Overview: Research Interpretation

  • Topics to Cover:

    • Variables in research (reviewing statistical analysis in context)

    • Types of claims that can be made in projects

    • Understanding validity in research

    • Introduction to reading empirical articles efficiently: Focused reading is essential to save time.

  • New Assignments:

    • Assignment 2 foundational for Assignment 3, due in late February.

    • Research groups must be established by Fridays to facilitate collaboration.

Understanding Variables in Research

  • Types of Variables:

  • Three Ways to Categorize Variables:

    • Measured vs. Manipulated

    • Conceptual vs. Operational

    • Dependent vs. Independent

Measured vs. Manipulated Variables

  • Measured Variables:

    • Definition: Levels are observed and recorded without interference by the researcher.

    • Methods: Surveys, observational studies. Examples include intelligence measurements through tests.

  • Manipulated Variables:

    • Definition: Researchers actively control these variables, often found in experimental designs.

    • Examples: Assignment to a medication dosage in clinical trials.

    • Distinction: Cannot assign intelligence or demographic traits (e.g., race, age).

Conceptual vs. Operational Variables

  • Conceptual Variables:

    • Definition: Abstract constructs (e.g., intelligence or self-regulation).

    • Importance: Need clear definitions for effective research communication.

  • Operational Variables:

    • Definition: Concrete measurements derived from conceptual variables (e.g., IQ test results as an operationalization of intelligence).

  • Examples of Operationalization:

    • GPA measures as an operational variable for school achievement.

Dependent and Independent Variables

  • Independent Variables:

    • Definition: The variable believed to be the cause in an experimental study.

    • Example: Exercise frequency affecting weight loss.

  • Dependent Variables:

    • Definition: The outcome variable that changes as a result of the independent variable.

    • Example: Weight loss in response to exercise frequency.

Types of Data

  • Levels of Measurement:

    • Nominal: Categorization without order (e.g., gender, ethnicity).

    • Ordinal: Categorization with a rank order (e.g., socioeconomic status).

    • Interval: Ordered categories with equal distances between levels, but no true zero (e.g., temperature).

    • Ratio: Ordered categories, equal distances, and a true zero (e.g., number of days without drinking alcohol).

Constants in Research

  • Definition:

    • A variable fixed at one level, which does not have variation.

Practical Exercises and Research Application

  • Research Questions Identification:

    • Group activity to identify dependent and independent variables, conceptual vs. operational variables, and data types related to student research projects.

    • Importance of clarity in project objectives and scope to prevent overextension.

Conclusion and Future Steps

  • Recap Importance of Variables and Claims in Research

    • Solidify understanding through collaborative exercises and direct engagement with research questions.

  • Expectation to finalize research proposals in research groups, refining operational definitions and data collection methods based on discussions.