Practical Research 2 Quiz: Mastering Data Analysis and Research Design

Questions and Answers

The extent to which the instrument measures the theoretical construct it is intended to measure

By comparing the instrument to existing measures

The extent to which the instrument can predict or explain outcomes

By using test-retest reliability methods Signup and view all the answers

To evaluate hypotheses and draw conclusions based on evidence Signup and view all the answers

To clarify the relationship between variables and predict the magnitude of the association Signup and view all the answers

Significantly saves the cost of research Signup and view all the answers

To measure the causal relationship between variables Signup and view all the answers

To ensure that the instrument measures what it is supposed to measure and that the results are accurate and reliable Signup and view all the answers

Experimental (True Experimental Design) research Signup and view all the answers

Study Notes

Construct validity refers to the extent to which a research instrument measures the concept or characteristic it is supposed to measure.

Establishing construct validity involves ensuring that the research instrument measures the underlying theoretical construct or concept.

Criterion validity refers to how well a research instrument predicts a specific outcome or criterion.

Reliability can be established by ensuring consistency in the research instrument's measurements and results over time and across different researchers.

Statistical tests are crucial in science research as they help to identify patterns, relationships, and correlations between variables, and enable researchers to draw conclusions and make predictions.

The purpose of correlational research is to identify relationships and correlations between variables, without manipulating the variables.

According to Brown (2006), the advantage of sampling is that it allows researchers to generalize findings to the larger population, while reducing time and resources required for data collection.

The main aim of quasi-experimental research is to identify cause-and-effect relationships between variables, without manipulating the independent variable.

The main purpose of establishing validity and reliability in research instruments is to ensure that the instruments measure what they claim to measure, and produce consistent results.

Experimental research attempts to affect a certain variable by directly manipulating the independent variable, allowing researchers to establish cause-and-effect relationships.