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.
Scroll below and get started!
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
51: The spread of scores for a subset of the members of a given group is called
A. Sample Variance
B. Significance level
C. Sample variance
D. Sample validity
52: The maximum risk you are willing to take that your results are attributable to chance is called
A. Sample Variance
B. Significance level
C. Sample variance
D. Sample validity
53: Statistical tests that are used to relate scores or values is called
A. Simple Linear Regression
B. Simple Linear Regression or Multiple Regression
C. Multiple Regression
D. None of above
54: Skew refers to the degree to which scores or values cluster above or below the mean.
A. True
B. False
55: A software package that provides practitioner-scholars with a multitude of statistical features and data management resources is called
A. SPSS
B. SPSV
C. SPVS
D. SSSP
56: Standard deviation describes the square root of the variance of a set of scores.
A. True
B. False
57: The process of ensuring that variables with the same value are treated similarly is called
A. Standardizing Values
B. Non-Standardizing Values
C. Error Values
D. Coefficient Values
58: A programming language that allows you to record each of your decisions regarding data management is called
A. Error
B. Syntax
C. SPSS
D. Values
59: An inferential statistical test that is useful when comparing scores or values from _____ groups is called t-test
A. Three
B. Two
C. One
D. Four
60: A type of error that occurs when you accept that the alternative hypothesis is true but in actuality it is not is called
A. Type-I Error
B. Type-II Error
C. Type-III Error
D. Type-IV Error
61: A type of error that occurs when you accept the null hypothesis as true, when in reality there was an effect is called
A. Type-I Error
B. Type-II Error
C. Type-III Error
D. Type-IV Error
62: Validity is the degree to which the inference drawn from a score is inaccurate
A. True
B. False
63: ______ is the amount of spread among scores.
A. Binary
B. Variance
C. Validity
D. None of above
64: Considers the spread of all scores for all members of a given group is called
A. Population similarities
B. Population Variance
C. Population Non-Variance
D. Population data
65: Refers to categorical measures that are dichotomous (e.g. male or female) is called
A. Binary Variables
B. Digital Variables
C. Mix Variables
D. Decimal Variables
66: The process of entering values into an electronic format that support analysis is called
A. Keypunching
B. Key Printing
C. Key typing
D. None of these
67: List-Wise Deletion define as Involvement in deleting entire records from the dataset
A. True
B. False
68: Refers to the extent to which a test score accurately reflects some type of performance indicator is called
A. Criterion Validity
B. Non-Criterion Validity
C. Specific Validity
D. All of these
69: Which of the following describes thematic analysis?
A. Developing theories that are grounded in the dataset
B. Moving from broad understandings of your data to identifying themes across the dataset
C. Interviewing participants from a variety of perspectives
D. Talking with colleagues about your data as a form of member-checking
70: Which of these is an important step in preparing and organizing your qualitative data prior to analysis?
A. Clearly labeling your data
B. Coding your data
C. Sharing your data with colleagues
D. Uploading your data to a public file-sharing site
71: If you chose to create a transcript that included all the utterances and occurrences from a focus group, what kind of transcript would this be?
A. Gisted
B. Condensed
C. Verbatim
D. Visual
72: Which type of transcript contains symbols, such as arrows, to indicate conversational features of interactions?
A. Condensed
B. Visual
C. Verbatim
D. Jeffersonian
73: If you chose not to transcribe all utterances, but rather highlighted the main points of an interview recording in your transcript, what kind of transcript would this be?
A. Visual
B. Gisted
C. Verbatim
D. Jeffersonian
74: Which type of code is determined prior to data collection and/or analysis and is linked to the research literature and/or theories informing one’s research?
A. In-vivo
B. Affective
C. A priori
D. Descriptive
75: Which type of code refers to actual words or phrases used by a participant?
A. In-vivo
B. A priori
C. Descriptive
D. Evaluative
76: After coding your qualitative data, the next step in the analysis process involves grouping codes into ____________________, which bring codes together to see how they relate.
A. Themes
B. Categories
C. Memos
D. Findings
77: What is the purpose of an audit trail for a qualitative study?
A. To visually represent the conceptual framework
B. To assist in data analysis
C. To organize your literature review
D. To maintain transparency in the analysis process
78: Which of the following is a strategy for pursuing trustworthiness in qualitative research?
A. Engaged time in the field
B. Comprehensive literature reviews
C. Robust data collection
D. A complex theoretical framework
79: Which of the following features of ATLAS.ti allows you to directly code your data?
A. Visualizing/Display feature
B. Memo feature
C. Quotation feature
D. Coding feature
80: The main purpose of qualitative data analysis is to bring meaning and order to the dat
A. True
B. False
81: Memoing your qualitative data should always be done prior to coding and cannot be done once you have begun coding.
A. True
B. False
82: Using a computer-assisted qualitative data analysis software package can allow you to track your decision-making processes in analysis in a visible way.
A. True
B. False
83: Carlos wants to determine if a statistically significant difference in graduation rates exists between public and charter schools. What type of statistical test is best for him to use?
A. T-Test
B. ANOVA
C. Simple linear regression
D. Chi-Square
84: What type of variable is the following? Percent of students graduating
A. Categorical variable
B. Interval variable
C. Binary variable
D. Ratio variable
85: Which of the following is NOT a measure of central tendency?
A. Standard deviation
B. Mode
C. Median
D. Mean
86: Leslie set an alpha level of 0.01 for her statistical test. What does this mean?
A. If Leslie ran the experiment, 10 out of 100 times the results of the experiment would be attributed purely to chance.
B. If Leslie ran the experiment, 5 out of 100 times the results of the experiment would be attributed purely to chance.
C. If Leslie ran the experiment, 1 out of 100 times the results of the experiment would be attributed purely to chance.
87: Brittany wants to understand how SAT scores and college GPA scores are relate She knows that there is a positive relationship between the two. What type of statistical test is best for her?
A. T-Test
B. ANOVA
C. Simple linear regression
D. Chi-Square
88: Why do practitioner-scholars collect descriptive statistics?
A. To determine how variables relate to one another and whether one variable predicts or influences another
B. To familiarize themselves with patterns, trends, and frequencies in the data
C. To think critically about the types of variables involved in the study, as this will inform the type of inferential statistical test that will be run
D. To have a plan for structuring the dataset and noting any specific assignments that are made to variables
89: Why do practitioner-scholars collect descriptive statistics?
A. To determine how variables relate to one another and whether one variable predicts or influences another
B. To familiarize themselves with patterns, trends, and frequencies in the data
C. To think critically about the types of variables involved in the study, as this will inform the type of inferential statistical test that will be run
D. To have a plan for structuring the dataset and noting any specific assignments that are made to variables
90: Which of the following is NOT a common approach to address missing data?
A. Mean imputation
B. Pair-wise deletion
C. Case-wise deletion
D. List-wise deletion
91: What does hypothesis testing rely on?
A. Mean imputation
B. Normal distribution
C. Extraneous or confounding variables
D. Non-parametric data
92: What is syntax?
A. An inventory of the individual variables in your dataset and their respective values
B. A programming language that allows practitioner-scholars to record each of their decisions regarding data management
C. The consistency of measurement or the degree to which your measure is replicable across multiple administrations
D. The data that practitioner-scholars use to complete their analysis
93: Which of the following is NOT part of the quantitative data analysis cycle?
A. Report results
B. Prepare the dataset
C. Calculate descriptive statistics
D. Become familiar with the datase
94: David is planning on creating a pie chart to illustrate the types and composition of diplomas the graduating seniors earne What type of statistics will David use?
A. Descriptive statistics
B. Correlational statistics
C. Inferential statistics
D. Predictive statistics
95: Calculating descriptive statistics is necessary in order to compute inferential statistics.
A. True
B. False
96: A graphic for ________variables in which the variable’s distribution is displayed with solid bars separated by spaces.
A. Qualitative
B. Quantitative
C. Specific
D. None of above
97: The total number of cases in a distribution is called ______ number.
A. Base
B. Total
C. High
D. None of above
98: A distribution that has two nonadjacent categories with about the same number of cases, and these categories have more cases than any others is called
A. Trimodal
B. Bimodal
C. Singlemodal
D. All of these
99: The most common value (for variables measured at the nominal level) or the value around which cases tend to center (for a quantitative variable) is called central tendency
A. True
B. False
100: Chi-square describes an inferential statistic used to test hypotheses about relationships between _____ or more variables in a cross-tabulation.
A. One
B. Two
C. Three
D. Four
List of Quantitative Data Anal...
Available in:
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
