##
What is an empirically verified relationship?

It is an empirically verified, quantitative relationship between two or more variables. B. It is a tentative explanation for an observation, phenomenon, or scientific problem. C.

##
What does it mean to study the association between variables?

a. systematically observes two variables to see whether there is an association between them. b. manipulates a variable under carefully controlled conditions and observes whether there are changes in a second variable as a result.

##
Which is an example of a strong positive correlation coefficient?

Comparing the population in two different states to examine the prevalence of depression is an example of strong positive A correlation coefficient of .90 indicates a ________ relationship between two variables. confounding variable

##
What type of research explores cause and effect relationships?

Type of research that describes various behaviors or data collected through observational research methods. Experimental Research Type of research that explores cause and effect relationships by manipulating data. Asks why. A tentative prediction about the relationship between variables is a(n) __________. Hypothesis

What is a tentative prediction about the relationship between variables?

A hypothesis is a tentative statement about the relationship between two or more variables. It is a specific, testable prediction about what you expect to happen in a study.

Which of the following refers to a tentative prediction about the relationship between two or more variables in a population under study or also known as intelligent guess?

It refers to the tentative prediction about the relationship between two or more variables in a population under study (Polit, 2007). It is somehow called as educated guess. It is a hypothesis that are formulated when predicting the relationship of two or more independent variables to two or more dependent variables.

Which type of hypothesis is a prediction of relationship between independent and dependent variables?

Types of research hypotheses An experimental hypothesis predicts what change(s) will take place in the dependent variable when the independent variable is manipulated.

Is an assumption about the relationship between two or more variables?

We said in the previous chapter that a hypothesis must be made up of at least two variables; a hypothesis expresses the relationship between two or more variables. We also referred to assumptions and propositions.

What are hypotheses?

A hypothesis (plural: hypotheses), in a scientific context, is a testable statement about the relationship between two or more variables or a proposed explanation for some observed phenomenon.

What is associative and causal hypothesis?

For example, an associative hypothesis predicts that a change in one variable will result in a change of the other variable. A causal hypothesis, on the other hand, proposes that there will be an effect on the dependent variable as a result of a manipulation of the independent variable.

What is relational hypothesis?

A relational hypothesis is one that suggests variables are related in some way. A causal hypothesis is one that suggests that a cause-and-effect relationship exists between variables. An example of a relational hypothesis is that a significant relationship exists between smoking and obesity.

What is a directional hypothesis?

Subject Index Entry. A directional hypothesis is a prediction made by a researcher regarding a positive or negative change, relationship, or difference between two variables of a population. This prediction is typically based on past research, accepted theory, extensive experience, or literature on the topic.

What is directional and non directional hypothesis?

Directional hypothesis: The alternative hypothesis contains the less than (“<“) or greater than (“>”) sign. This indicates that we’re testing whether or not there is a positive or negative effect. Non-directional hypothesis: The alternative hypothesis contains the not equal (“≠”) sign.

When the relationship between the variables is linear The technique is called?

The most commonly used techniques for investigating the relationship between two quantitative variables are correlation and linear regression. Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation.

What is the relationship between dependent and independent variables?

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable.

What is assumption and hypothesis in research?

An assumption is a belief that forms one of the bases for the research. This belief is not to be tested or supported with empirical data. Very often belief is not stated in a research proposal. A hypothesis is a tentative answer to a research question.

Problem 1 Easy Difficulty

A tentative prediction about the relationship between two variables is:

A. a confounding of variables.

B. an operational definition.

C. a theory.

D. a hypothesis.

Video Transcript

Problem one of chapter two, The research enterprise in psychology. So in discussion a tentative prediction about the relationship between two variables, it’s called. So that is called the hypothesis.