Organizing Data and Analyzing Results in Research MCQs
Organizing Data and Analyzing Results in Research MCQs
Welcome to the page of MCQs on Organizing Data and Analyzing Results in Research. Here, you will find a collection of multiple-choice questions that cover the fundamental concepts and techniques related to data organization and result analysis in research studies.
Interpreting the results of data analysis is essential for researchers to derive meaningful insights and implications. It involves critically analyzing the statistical findings, identifying trends or patterns, and relating them to the research objectives and hypotheses. Proper interpretation of results contributes to the validity and reliability of research outcomes.
MCQss.com offers a comprehensive set of MCQs on organizing data and analyzing results in research. These MCQs cover a wide range of topics, including data organization techniques, statistical analysis methods, interpretation strategies, and relevant statistical software. By engaging with these MCQs, you can assess your understanding of these concepts and improve your research skills.
Using MCQs for organizing data and analyzing results in research offers several benefits, including self-assessment, reinforcement of knowledge, and effective preparation for research-related tasks, exams, or assessments.
1: In SPSS Statistics®, view of the data by cases (rows) and columns (variables) is data view
A. True
B. False
2: View in SPSS Statistics® in which the variables and their characteristics (e.g., name, data type, and length) are found is variable view
A. True
B. False
3: In SPSS Statistics®, a data type that permits numerical analysis is numerical data type
A. True
B. False
4: Data type in SPSS Statistics® on which no numerical analyses can be performed is string variable type
A. True
B. False
5: Tool in SPSS Statistics® that allows you to create new variables through arithmetic operations is ____ function
A. Modern
B. Compute
C. Correct
D. None of these
6: Cloud-based file sharing system is Dropbox®
A. True
B. False
7: When there are missing data, the elimination of the complete case if any data are missing is ____ deletion
A. Listwise
B. Pairwise
C. Linewise
D. All of these
8: When there are missing data, the elimination of the complete case if any data are missing is ____ deletion
A. Listwise
B. Pairwise
C. Linewise
D. All of these
9: Approach to handling missing data in which a participant is dropped on analyses for only the missing variable(s) for that analysis, not altogether is ____Deletion
A. Listwise
B. Pairwise
C. Linewise
D. All of these
10: Process of replacing missing values with substitutes (e.g., sample means) is called
A. Descriptives
B. Imputation
C. Statistical
D. None of these
11: Statistical presentation of measures of central tendency and dispersion that characterize a set of data
A. Descriptives
B. Imputation
C. Statistical
D. None of these
12: Pursuing data analysis in multiple ways that increases the chances of finding significant results is opportunistic bias
A. True
B. False
13: Term that describes exploring your data post hoc for significant findings is going fishing
A. True
B. False
14: Exploration of large sets of data to discover statistically significant patterns not originally hypothesized is data dredging
A. True
B. False
15: Hypothesizing after results are known (Kerr, 1998) is called
A. Harking
B. P- Hacking
C. Coarsened data
D. All of these
16: Processes such as continuing to test data or conducting post hoc analyses to produce significant results is called
A. Harking
B. P- Hacking
C. Coarsened data
D. All of these
17: Idea that data lose some of their specificity (e.g., through rounding) is called
A. Harking
B. P- Hacking
C. Coarsened data
D. All of these
18: In research, the probability value indicating the likelihood that the finding occurred by chance, usually set at .05 is significant level
A. True
B. False
19: Function in SPSS Statistics® that allows you to reconfigure data, for example, computing a new variable or recoding a variable is transform
A. True
B. False
20: SPSS Statistics® command in which numerical values are recorded into the existing variable
A. True
B. False
21: SPSS Statistics® command in which numerical values are recorded into a new variable
A. True
B. False
22: In SPSS Statistics®, refers to the evaluation of data to assess internal consistency, such as Cronbach’s alpha is reliability analysis
A. True
B. False
23: SPSS Statistics® command in which the analysis is restricted to a subset of the sample (e.g., first year students) is select cases function
A. True
B. False
24: Program for generating word clouds from text that show the frequency with which certain words appear; useful in presentations is Wordle™
A. True
B. False
25: Portability refers to the ability of researchers to relocate in order to access different participant groups.
A. True
B. False
26: What is the term for a computer program which allows researchers to distribute the different conditions across participants?
A. Randomizer function
B. SPSS
C. PSYCInfo
D. Amazon MTurk
27: When you set up a data file, the distinction between a variable and level is critical.
A. True
B. False
28: Which two principles are key in deciding what values to assign to data?
A. Logic and consecutive sequence
B. Simplicity and complexity
C. Specificity and linearity
D. Number and label
29: String variables results from answers given in a text box.
A. True
B. False
30: What is the term for labels of data that give information about the content of the question?
A. Transparent
B. Non-transparent
C. Numeric
D. String
31: An advantage of entering the score for each item on a scale is the ability to calculate Cronbach’s alph
A. True
B. False
32: The compute function should come before calculation of Cronbach’s alph
A. True
B. False
33: What is the term for deleting a case completely if any data are missing?
A. Listwise deletion
B. Pairwise deletion
C. Attrition
D. Non-response rate
34: Imputation involves replacing missing values with substitute values.
A. True
B. False
35: A concern with deleting outliers is that the researcher might be doing so to make it more likely to find statistically significant results. This is called?
A. Opportunistic bias
B. Optimism
C. Elimination observations
D. Transparency
36: Going fishing is also called data dredging.
A. True
B. False
37: Which is safer?
A. Recode into Same Variables
B. Recode into Different Variables
C. Labeling only those variables involved in analyses
D. Reversing items after calculating Cronbach’s alpha
38: If you go fishing, make sure you clearly present these analyses as post ho
A. True
B. False
39: Which computer program takes the text you have and creates word clouds?
A. Wordle
B. Easy Chi Square calculator
C. Social Science Statistics
D. Graphpad
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Organizing Data and Analyzing Results in Research MCQs
