theories
: Broad explanations and predictions concerning phenomena of interest.
What is the term that means a broad explanation and prediction about phenomena of interest group of answer choices?
Theories
. Broad explanations and predictions concerning phenomena of interest. Hypothesis. A prediction, stemming from a theory, stated in a way that allows it to be tested. Operational definition.
Is a prediction stated in a way that allows it to be tested?
A hypothesis
is an assumption or proposition whose testability is to be tested based on the compatibility of its implications with empirical evidence with previous knowledge. It is also a declarative statement in which the investigator makes a prediction or a conjecture about the outcome of the relationship.
Why is random so important for determining cause and effect?
Experiments are the best way to determine cause and effect relationships between these variables. … Randomly assigning subjects
helps to eliminate confounding variables
, or variables other than the independent variable that could cause a change in the dependent variable.
What are the broad explanations and predictions concerning phenomena of interest?
theories
: Broad explanations and predictions concerning phenomena of interest.
What research can determine causal relationships?
Experimental research
allows the identification of causal relationships between entities or events. Successful experimental research depends on well-defined research hypotheses that specify the dependent variables to be observed and the independent variables to be controlled.
What is the phenomenon of interest?
As defined by Rappaport (1987), phenomena of interest are
“what we want our research to understand, predict, explain, or describe
” (p. 129). Frameworks seek to describe phenomena of interest while theories seek to predict or explain them.
What is a phenomenon in qualitative research?
A phenomenon (plural, phenomena) is
a general result that has been observed reliably in systematic empirical research
. In essence, it is an established answer to a research question. Phenomena are often given names by their discoverers or other researchers, and these names can catch on and become widely known.
What is a behavioral phenomenon?
1
. “Behavioral phenomena” refers to
the observable actions of individuals or groups and to mental phenomena
such as knowledge, attitudes, beliefs, motivations, perceptions, cognitions, and emotions.
Which of the following would result in cognitive dissonance?
Cognitive dissonance is the result of having
beliefs that contradict each other
. It can feel like a person is being pulled in two different directions by their beliefs.
What are the three types of psychological tests?
- Individual and Group Tests.
- Instrumental or Paper and Pencil Tests.
- Achievement or Intelligence Tests.
What is likely to happen to behavior that receives no reinforcement or is punished?
Behavior that is reinforced is more likely to be repeated in the future, whereas behavior that receives no reinforcement or is punished is
likely to be discontinued/extinguished
. Learning comes through a series of trial and error events.
How do you randomly allocate participants?
The easiest method is
simple randomization
. If you assign subjects into two groups A and B, you assign subjects to each group purely randomly for every assignment. Even though this is the most basic way, if the total number of samples is small, sample numbers are likely to be assigned unequally.
What are the two main purposes of randomization?
The main purpose for using randomization in an experiment is
to control the lurking variable and establish a cause and effect relationship
. Also, by randomizing an experiment the evidence is more supported. Good. The main purpose for using randomization in an experiment is to make sure that the results are accurate.
How do you randomly select participants?
- Step 1: Define the population. Start by deciding on the population that you want to study. …
- Step 2: Decide on the sample size. Next, you need to decide how large your sample size will be. …
- Step 3: Randomly select your sample. …
- Step 4: Collect data from your sample.
What are 3 types of causal relationships?
Types of causal relationships
Several types of causal models are developed as a result of observing causal relationships:
common-cause relationships, common-effect relationships, causal chains and causal homeostasis
.
