Quantitative Data Analysis MCQs
Quantitative Data Analysis MCQs
Answer these 190 Quantitative Data Analysis MCQs and assess your grip on the subject of Quantitative Data Analysis.
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1: ___ provides an abbreviated summary of how you moved from codes to themes or final findings. The purpose of this map is to build transparency around your analysis process, while also illustrating in an explicit way one aspect of your analytical decision-making process
A. Exact Map
B. Analysis map
C. Prior map
D. Unstructured map
2: These codes are based on ___ words or phrases that are directly linked to the research literature and/or specific theories informing your work in a priori codes
A. Determined words
B. Predetermined words
C. Weak words
D. Relatable words
3: Audit trail refers to a paper-based or electronic account of each of your decisions, from how you defined and described each code to the way in which you moved from codes to categories to themes.
A. True
B. False
4: In thematic analysis, categories bring together various coded passages and assign meaning about their relationship, differences, similarities, or interactions is called
A. Grouping
B. Non-grouping
C. Aduit
D. Coding
5: In ___ data analysis, this refers to a text-based label that gives meaning to a segment of your data is called code
A. Quantitative
B. Qualitative
C. Categories
D. None of above
6: ___ describes the process of attaching a short word or phrase to specific portions of your data.
A. Programming
B. Non-programming
C. Condensed
D. Categories
7: A type of gisted transcript that does not include unnecessary words (such as “ums”) is called
A. Discourse analysis
B. Condensed analysis
C. Condensed Transcript
D. None of above
8: A qualitative methodology that focuses on the sequential organization of talk or language use is called
A. Discourse analysis
B. Condensed analysis
C. Condensed Transcript
D. None of above
9: A word or phrase that points to the main topic of a segment of the data is called
A. Descriptive Codes
B. Gisted Transcript
C. Non- descriptive Codes
D. Condensed Codes
10: A transcript that gives you the ‘gist’ or overall sense of the audio or video file is called
A. Descriptive Transcript
B. Gisted Transcript
C. Non- descriptive Codes
D. Condensed Codes
11: Codes that refer to the actual word or phrase used by the participant is called
A. Out-vivo Codes
B. In-vivo Codes
C. Descriptive Codes
D. All of these
12: ___ transcript that uses symbols to represent features of the interaction, such as overlapping speech or the length of a silence or gap in speech.
A. Jeffersonian Transcript
B. Visual Transcript
C. Memo Transcript
D. None of these
13: A written reflection about your data, often linked directly to some aspect of your data is called
A. Analysis
B. Saturation
C. Quotation
D. Memo
14: Quotation refers to a segment of your data that might be of interest to you in your future analysis.
A. True
B. False
15: A concept that can be defined as the point in data collection and analysis at which no new information and understanding is generated is called
A. Analysis
B. Saturation
C. Quotation
D. Memo
16: ___ is an approach to qualitative data analysis that allows you to move from broad understandings/readings of your data to identifying themes across the dataset.
A. Thematic Analysis
B. Saturation Analysis
C. Non-Thematic Analysis
D. Memo Analysis
17: In qualitative data analysis, this refers to broad, analytically-driven statements about data is called
A. Analysis
B. Themes
C. Prints
D. Saturation
18: Trustworthiness describes the degree to which your data collection, analysis, and presentation of findings is presented in a thorough and verifiable manner.
A. True
B. False
19: A type of transcript wherein you type everything you hear (in the audio recording) or see (in the video recording) is called
A. Written Transcript
B. Verbatim Transcript
C. Audio Transcript
D. None of these
20: A type of transcript wherein your transcript produces a broad strokes description of what was shared or occurred in the audio or video file, as well as images (e.g., pictures or still shots from video data) that represent the participant’s actions is called
A. Written Transcript
B. Visual Transcript
C. Audio Transcript
D. None of these
21: A type of hypothesis that states that there will be a difference between two groups, a set of scores, or as a result of a specific intervention is called alternative hypothesis
A. True
B. False
22: ___ is an inferential statistical test that compares two or more groups.
A. Analysis of Variance (ANOVA)
B. Analysis of Variability (ANOVA)
C. Analysis of Variations (ANOVA)
D. None of these
23: Refers to values that you give to the variables in the dataset is called
A. Books
B. Assignments
C. Chapters
D. Abstract
24: A statistical test that is used when the practitioner-scholar seeks to determine whether there is a statistically significant difference between data that are reported in the form of frequency counts is called Chi square
A. True
B. False
25: An inventory of the individual variables in your dataset and their respective values is called
A. Databook
B. Codebook
C. Sheets
D. Raw Data
26: Which validity describes the congruence between your ideas and the way that you measure them?
A. Construct Validity
B. Content Validity
C. Code book
D. None of above
27: Refers to the degree to which a test measures what it intends to measure is called
A. Construct Validity
B. Content Validity
C. Code book
D. None of above
28: Those variables that are assigned any value between a minimum and maximum, such as a test score or your height is called
A. Continuous Variables
B. Discrete Variables
C. Ending Variables
D. None of these
29: Criterion Validity describes the extent to which a test score accurately reflects some type of performance indicator.
A. True
B. False
30: The data that you will use to complete your analysis is called
A. Rawsheet
B. Dataset
C. Variables
D. Nominals
31: ___ variable is not an independent variable but could potentially impact the dependent variable.
A. Extraneous
B. Confounding
C. Extraneous or Confounding
D. None of these
32: Frequencies describe the Simple counts that refer to the number of times something has occurred.
A. True
B. False
33: The numeric scores or values for which an absolute zero can be defined is called
A. Mix variables
B. Interval variables
C. Simple variables
D. Linear variables
34: The arithmetic average of all of the scores or values is called
A. Mean
B. Mode
C. Median
D. Skewed
35: The ___ in a distribution of scores or values is called median.
A. Line
B. Midpoint
C. Curvy point
D. All of these
36: ___ is an approach to dealing with missing data that might be used when variables cannot be deleted entirely or excluded partially.
A. Median Imputation
B. Mean Imputation
C. Mode Imputation
D. None of these
37: Measures of Central Tendency which provide you with an opportunity to determine how scores or values relate to the mean.
A. True
B. False
38: Refers to the ‘spread’ of the scores or values is called measures of
A. Differences
B. Variability
C. Imputation
D. None of above
39: The most frequently occurring score is called
A. Mean
B. Mode
C. Median
D. Skewed
40: Scores that are typically above the mean and thus further from the y-axis is called
A. Positively Skewed
B. Negatively Skewed
C. Specific Skewed
D. Mix Skewed
41: Refers to a categorical measure that has three or more categories (e.g., student’s race/ethnicity) is called
A. Nominal Variables
B. Normal distribution
C. Decimal variables
D. Dominant Variables
42: Which one Illustrates the assumption that the majority of values or scores you observe are located near the mean?
A. Specific distribution
B. Normal distribution
C. Nominal distribution
D. All of these
43: Pairwise deletion involves excluding incomplete or missing variables only from those analyses where the variables are meaningful.
A. True
B. False
44: A statistical test that indicates whether there is a relationship between two variables is called
A. Personal Correlation
B. Pearson Correlation
C. Parametric Correlation
D. None of these
45: Parametric data that describes the data that is normally distributed (e.g., adheres closely to a normal distribution).
A. True
B. False
46: Scores that are typically below the mean and thus closer to the y-axis. Population Variance – Considers the spread of all scores for all members of a given group is called
A. Positively Skewed
B. Negatively Skewed
C. Mix Skewed
D. None of these
47: ____describes the difference between the lowest and highest score or value.
A. Variable
B. Range
C. Ration
D. Points
48: The type of variable that is similar to an interval variable except that the scores are based on a scale is called
A. Line Variable
B. Ratio Variable
C. Range Variables
D. None of these
49: Reliability describes the consistency of measurement or the degree to which your measure is replicable across multiple administrations.
A. True
B. False
50: The extent to which a sample represents the population is called
A. Sample Variance
B. Significance level
C. Sample variance
D. Sample validity
List of Quantitative Data Anal...
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Quantitative Data Analysis MCQs
Вопросы по количественному анализу данных на русском языке
Preguntas de Análisis Cuantitativo de Datos en español
日本語での定量的データ分析の質問
Domande di analisi quantitativa dei dati in lingua italiana
Questions d'analyse de données quantitatives en langues françaises
Questões de Análise de Dados Quantitativos em Língua Portuguesa
Fragen zur quantitativen Datenanalyse in deutschen Sprachen
中文（简体）语言的定量数据分析问题
أسئلة التحليل الكمي للبيانات باللغات العربية
Soal-soal Analisis Data Kuantitatif dalam bahasa Indonesia
