What is the difference between a repeated measures design and an independent groups design?

Category: music and audio science and medicine podcasts
4.1/5 (821 Views . 17 Votes)
What is the difference between independent measures design and repeated measures design? An independent measures design consists of using different participants for each condition of the experiment. A repeated measures design consists of testing the same individuals on two or more conditions.



Similarly, it is asked, why would you use an independent groups design?

An independent measures design is a research method in which multiple experimental groups are used and participants are only in one group. Advantages of independent measures design include less time/money involved than a within subjects design and increased external validity because more participants are used.

Subsequently, question is, what are two advantages to a repeated measures design? Advantages and Disadvantages The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups.

Subsequently, one may also ask, what is an independent group design?

Independent groups design is an experimental design where different participants are used in each condition of the experiment.

What is the main difference between a between groups research design and a within groups research design?

There are two ways to look at the data about these groups. Between-group differences show how two or more groups are different, whereas within-group differences show differences among subjects who are in the same group. Within-group differences can come to light when looking at a between-group research study.

38 Related Question Answers Found

What are the 4 types of research design?

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.

What is a strength of independent groups design?

Strengths – Advantages
One major strength is you require less group members as you simply re-use the same participants. This means the experiment is done much quicker than gathering participants between conditions like in an independent group design experiment.

What is the independent group in an experiment?

What Are Groups in Experiment Design? An experimental group is a test sample or the group that receives an experimental procedure. This group is exposed to changes in the independent variable being tested. The values of the independent variable and the impact on the dependent variable are recorded.

What is another name for a repeated measures design?

Experiments using repeated measures design, sometimes also called within-subject design, make measurements using only one group of subjects, where tests on each subject are repeated more than once after different treatments.

What are the different types of quasi experimental designs?


Quasi-experimental research involves the manipulation of an independent variable without the random assignment of participants to conditions or orders of conditions. Among the important types are nonequivalent groups designs, pretest-posttest, and interrupted time-series designs.

What is a confounding variable in an experiment?

A confounding variable is an outside influence that changes the effect of a dependent and independent variable. This extraneous influence is used to influence the outcome of an experimental design. Confounding variables can ruin an experiment and produce useless results.

What are the 3 types of experiment?

Three key types of experiments are controlled experiments, field experiments, and natural experiments.

What is experimental research design?

Experimental research design is centrally concerned with constructing research that is high in causal (internal) validity. Randomized experimental designs provide the highest levels of causal validity. These issues are germane to research of all types (exploratory, explanatory, descriptive, evaluation research).

Why is Operationalisation important?

For many fields, such as social science, which often use ordinal measurements, operationalization is essential. It determines how the researchers are going to measure an emotion or concept, such as the level of distress or aggression.

What is a design in psychology?


Experimental design refers to how participants are allocated to the different conditions (or IV levels) in an experiment. There are three types: 1. Independent measures / between groups: Different participants are used in each condition of the independent variable.

What should be included in an experimental design?

Experimental design means creating a set of procedures to test a hypothesis.

  • Step 1: Define your research question and variables. You should begin with a specific research question in mind.
  • Step 2: Write your hypothesis.
  • Step 3: Design your experimental treatments.
  • Step 4: Assign your subjects to treatment groups.

What is two independent group design?

A two-group design is when a researcher divides his or her subjects into two groups and then compares the results. The two groups usually consist of a control group, who does not get the treatment, and a treatment or experimental group, who does get the treatment.

What is non experimental design?

Non-experimental research is the label given to a study when a researcher cannot control, manipulate or alter the predictor variable or subjects, but instead, relies on interpretation, observation or interactions to come to a conclusion.

How many participants are needed for an independent measures design?

how many subjects participated in the experiment? 4. a. An independent-measures design would require two separate samples, each with 10 subjects, for a total of 20 subjects.

What are the advantages and disadvantages of repeated measures design?


Advantages and disadvantages of a repeated measures design
Advantages and disadvantages of a repeated measures design
Advantages There are no individual differences between the groups of participants Less participants are needed in a in depended design Disadvantages Order effects
Evaluation

How do you design an experiment?

There are three aspects of the process that are analyzed by a designed experiment:
  1. Factors, or inputs to the process. Factors can be classified as either controllable or uncontrollable variables.
  2. Levels, or settings of each factor in the study.
  3. Response, or output of the experiment.

What are order effects?

Order effects refer to differences in research participants' responses that result from the order (e.g., first, second, third) in which the experimental materials are presented to them. Order effects can occur in any kind of research.