Handling Missing Data and Data Cleaning Techniques in Statistical Analysis

Play an AI-generated podcast conversation about this lesson

What should the methods section of a quantitative study describe?

The personal experiences of the researcher
How each objective of the study will be achieved (correct)
The historical and cultural context of the research problem
The potential economic implications of the study

What tense should the methods section be presented in?

Present tense
Future tense
Past tense (correct)
Mixture of present and past tense

What should the researcher describe about the study population and sampling?

The economic status of the study participants
The personal characteristics of the participants
The historical significance of the study location
Where the data came from, how robust it is, and any gaps or exclusions (correct)

What should the researcher describe about the data collection process?

The specific instruments used to collect the data and why they were chosen (D) Signup and view all the answers

What should the researcher describe about the data analysis procedures?

The specific instruments of analysis used to study each research objective, including mathematical techniques and computer software (C) Signup and view all the answers

What should the researcher note about the data collection methods?

That no data set is perfect and any limitations in the methods of gathering data (C) Signup and view all the answers

What is the primary reason for explaining the handling of missing data in the analysis?

To ensure that the missing data does not undermine the validity of the analysis (B) Signup and view all the answers

What is the primary purpose of the 'data cleaning' techniques described in the text?

To identify and address any errors or inconsistencies in the data (A) Signup and view all the answers

Which of the following is a key reason for choosing a 'minimally sufficient' statistical procedure?

To ensure that the assumptions of the statistical test are met (B) Signup and view all the answers

When using pre-existing statistical data, what is the primary responsibility of the researcher?

To describe the data collection methods used by the original source (C) Signup and view all the answers

What is the primary reason for using tables to present exact values and figures to convey global effects?

To improve the readability and accessibility of the data (A) Signup and view all the answers

What is the primary reason for avoiding inferences of causality in the analysis, particularly in non-randomized designs?

To avoid making unsupported claims about the relationships between variables (C) Signup and view all the answers

What is the main characteristic of quantitative research data?

The data is in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms. (B) Signup and view all the answers

What is the primary aim of a quantitative research study?

To classify features, count them, and construct statistical models in an attempt to explain what is observed. (D) Signup and view all the answers

Which of the following is not a characteristic of quantitative research data collection?

The researcher has a clearly defined research question to which subjective answers are sought. (A) Signup and view all the answers

What should be the focus when reporting the results of a quantitative research study?

Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem. (C) Signup and view all the answers

What should be reported if any unanticipated events occurred during the data collection process?

The researcher should explain how the actual analysis differs from the planned analysis due to the unanticipated events. (B) Signup and view all the answers

Which of the following is a key characteristic of quantitative research methods?

All aspects of the study are carefully designed before data is collected. (C) Signup and view all the answers