By Charles Stangor
Acceptable for social technological know-how scholars, this article deals entire assurance of either experimental and non-experimental tools. the writer presents succinct motives for a whole variety of equipment, together with descriptive, correlational, experimental, and quasi-experimental learn designs. functional advice and purposes built-in through the textual content let scholars to make real-world connections that inspire them to grasp the cloth.
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Extra info for Research Methods for the Behavioral Sciences, 4th Edition
This means that they do not have to rely only on the scientist’s own interpretation of the data; they may also draw their own, potentially different, conclusions. Of course, we frequently trust scientists to draw their own conclusions about their data (after all, they are the experts), and we rely on their interpretations. However, when conclusions are made on the basis of empirical data, a knowledgeable person can check up on these interpretations should she or he desire to do so. This book will demonstrate how.
As we will discuss more fully in Chapter 7, another type of descriptive research—known as naturalistic observation—is based on the observation of everyday events. For instance, a developmental psychologist who watches children on a playground and describes what they say to each other while they play is conducting descriptive research, as is a biological psychologist who observes animals in their natural habitats or a sociologist who studies the way in which people use public transportation in a large urban city.
In short, each of the three research designs contributes to the accumulation of scientific knowledge, and thus, each is necessary for a complete study of behavior. 3 Characteristics of the Three Research Designs Research Design Goal Advantages Disadvantages Descriptive To create a snapshot of the current state of affairs Provides a relatively complete picture of what is occurring at a given time Does not assess relationships among variables Correlational To assess the relationships between and among two or more variables Allows testing of expected relationships between and among variables and making of predictions Cannot be used to draw inferences about the causal relationships between and among the variables Experimental To assess the impact of one or more experimental manipulations on a dependent variable Allows drawing of conclusions about the causal relationships among variables.