Non - Experimental Research Design

AI Summary

An AI-generated summary of this video lecture.

The video presents a lecture on non-experimental research design, a type of observational research where variables are observed without manipulation. The instructor defines it as a study that examines the impact of an assumed cause that has already occurred, aiming to understand its effect on observed outcomes. The variables are still referred to as Independent Variables (IVs) and Dependent Variables (DVs). The lecture then details three important types of non-experimental study designs: Action Research, which is initiated to solve an immediate problem; Cohort Studies, which follow a specific group of people over time based on a common characteristic like birth year; and Ex Post Facto Design Research, which investigates past events to understand present situations, particularly when ethical or practical constraints prevent variable manipulation.

Chapters

1. 0:00 – 2:00 00:00-02:00

   The video begins with a title slide, 'Non-Experimental Research Design'. The instructor explains that this type of research, also known as observational research, involves observing variables without manipulating the cause. It is used to understand the impact of an assumed cause that has already happened. The variables are still called Independent Variables (IVs) and Dependent Variables (DVs). The instructor then introduces the section 'Important types of non-experimental study designs:' and begins to list the first type, 'Action Research', defined as research initiated to solve an immediate problem.

2. 2:00 – 3:26 02:00-03:26

   The instructor continues the list of non-experimental research designs. The second type is 'Cohort Studies', which are based on the existence of common characteristics among participants, such as year of birth, graduation, or marriage. Researchers follow a specific cohort (a group of people) over time to study patterns and outcomes. The third type is 'Ex Post Facto Design Research', which means 'after the fact' in Latin. This design investigates past events to understand present situations. Researchers examine how an IV, which existed before the study began, influences a DV. This design is particularly useful when ethical or practical constraints prevent the manipulation of variables.

The lecture systematically introduces non-experimental research as a method for studying cause-and-effect relationships without direct intervention. It first establishes the core concept by contrasting it with experimental research and defining its key components (IVs, DVs). The main body of the lecture then provides a clear, structured overview of three distinct types of non-experimental designs—Action Research, Cohort Studies, and Ex Post Facto Design—each with a specific purpose and application, highlighting their utility in real-world research scenarios where manipulation is not possible.