Data Collection and Analysis Quiz

What is the purpose of the results section in a research report?

• To provide raw data for the readers

• To draw broader implications from the statistical findings

• To include summaries of the data and statistical results

• To present detailed explanations about the data collection procedures

What is the first step in preparing data for analysis?

• Clean and account for missing data

• Input the data

• Score the data (Coding)

• Select a statistical program

What is the purpose of labeling section headings based on research questions in the data analysis chapter?

• To put greater emphasis on significant results

• To determine the parts of the data collected for each variable

• To follow the sequence of research questions

• To rewrite chapters in past tense

Which type of graph is suitable for showing correlations between variables?

• Scatterplot

• Multiplot chart

• Pie chart

• Column chart

What should be included in the presentation of quantitative data?

When should a re-conceptualized framework be included in Chapter 4 of a research report?

• If the conduct of research was implemented as planned

• If there were deviations from planned procedure

• If some or all findings are different from expected

• If there were issues with the instruments' validity and reliability

What is the purpose of comparing the results of the present study with related studies?

What should be included in the results section of a research report?

What is the purpose of rewriting Chapters 1-3 before or after data analysis?

• To include summaries of the raw data

• To label section headings based on research questions

• To determine parts of the data collected for each variable

• To rewrite chapters in past tense and make corrections

What is the purpose of presenting and interpreting data in tabular and graphical forms?

• To describe trends in the data to a single variable

• To compare two or more groups on the independent variable

• To gather and analyze data with intellectual honesty

• To use statistical techniques to analyze data