1. Causal Reseach
When most people think of scientific experimentation, research on cause and effect is most often brought to mind. Experiments on causal relationships investigate the effect of one or more variables on one or more outcome variables. This type of research also determines if one variable causes another variable to occur or change. An example of this type of research would be altering the amount of a treatment and measuring the effect on study participants.
2. Descriptive Research
Descriptive research seeks to depict what already exists in a group or population. An example of this type of research would be an opinion poll to determine which Presidential candidate people plan to vote for in the next election. Descriptive studies do not seek to measure the effect of a variable; they seek only to describe.
3. Relational Research
A study that investigates the connection between two or more variables is considered relational research. The variables that are compared are generally already present in the group or population. For example, a study that looked at the proportion of males and females that would purchase either a classical CD or a jazz CD would be studying the relationship between gender and music preference.
Theory and Hypothesis
Atheor y is a well-established principle that has been developed to explain some aspect of the natural word. A theory arises from repeated observation and testing and incorporates facts, laws, predictions, and tested hypotheses that are widely accepted. Ah ypo thesis is a specific, testable prediction about what you expect to happen in your study. For example, a study designed to look at the relationship between study habits and test anxiety might have a hypothesis that states, “This study is designed to assess the hypothesis that students with better study habits will suffer less test anxiety.” Unless your study is exploratory in nature, your hypothesis should always explain what youexpect to happen during the course of your experiment or research.
Lastly, the Discussion is satisfactory in the way it interprets the findings of the study and relates them to the researcher's purpose for conducting the study in the first place. That is, Frick-Horbury agreeably makes generalizations based on the data. She shows how some of her hypotheses were verified, while others were not. Now I will be able to use some of these generalizations / conclusions ...
While the terms are sometimes used interchangeably in general practice, the difference between a theory and a hypothesis is important when studying experimental design.
Some important distinctions to note include:
A theory predicts events in general terms, while a hypothesis makes a specific prediction about a specified set of circumstances.
A theory is has been extensively tested and is generally accepted, while a hypothesis is a speculative guess that has yet to be tested. Effect of Time in Psychology Research
There are two types of time dimensions that can be used in designing a research study.
1.Cross-sectional research takes place at a single point in time.
All tests, measures, or variables are administered to participants on one occasion.
This type of research seeks to gather data on present conditions instead of looking at the effects of a variable over a period of time.
2.Longitudinal research is a study that takes place over a period of time.
Data is first collected at the outset of the study, and may then be gathered repeatedly throughout the length of the study.
Some longitudinal studies may occur over a short period of time, such as a few days, while others may take place over a period of decades. o
The effects of aging are often investigated using longitudinal research. Causal Relationships Between Variables
What do we mean when we talk about a “relationship” between variables? In psychological research, we are referring to a connection between two or more factors that we can measure or systematically vary. One of the most important distinctions to make when discussing the relationship between
variables is the meaning ofcausation.
A causal relationship is when one variablecauses a change in another variable. These types of relationships are investigated by experimental research in order to determine if changes in one variable truly causes changes in another variable.
Background of the Study Education is one of the highest achievement and the impression on how you are being recognized in all people you met in everyday life and this will be the key in order to attain your goal in life. It is important in life because it makes you who you really are and that will lead you to development and progress, it is not a certain product rather it is an individual property ...
Correlational Relationships Between Variables
Acorrelati on is the measurement of the relationship between two variables. These variables already occur in the group or population and are not controlled by the experimenter.
A positive correlation is a direct relationship where as the amount of one variable increases, the amount of a second variable also increases