SOWK 4030 Comprehensive Questions
(Frequently Tested) with Verified
Answers
Descriptive Statistics - - Answer: •Summarizing large amounts of data.
•Graphs, tables, descriptive summaries (univariate analysis)
•Data reduction
•Descriptive summaries of populations - Parameters.
•Descriptive summaries of samples - Statistics.
•Descriptive analyses are often preliminary to other types of analysis (inferential)
Inferential Statistics - Answer: •Data collected from sample not the population.
•Procedures for determining how safe it would be to make generalizations about the
distribution of measurements of variables within a population based on measurements taken of
a variable within a sample drawn from that population.
•Lets us know how safe it would be to conclude that any relationship among variables found in
a sample might exist within the population.
Qualitative Study - Answer: a method is used to understand people's beliefs, experiences,
attitudes, behavior, and interactions. ... It generates non-numerical data.
questions often contain words like lived experience, personal experience, understanding,
meaning, and stories.
questions can change and evolve as the researcher conducts the study.
Quantitative Study - Answer: involves the use of computational, statistical, and mathematical
tools to derive results.
, It is conclusive in its purpose as it tries to quantify the problem and understand how prevalent it
is by looking for projectable results to a larger population.
descriptive questions are helpful for community scans but cannot investigate causal
relationships between variables.
explanatory questions must include an independent and dependent variable.
Research Hypothesis - Answer: A testable relationship between two or more variables as
expressed in a statement.
A statement that we make about what we believe to be the relationship among variables.
Concept - Answer: -The process of selecting what variables we will need to measure.
•Selecting the most important variables.
•Stating what is exactly meant by each one.
•Stating the value categories or values that each variable can assume.
Attributes - Answer: The different categories that a variable can assume can be expressed in
either words (e.g., homeless, not homeless)
or in numbers, such as the number of times an individual has been hospitalized (e.g., 1, 2, 3).
Attributes that are expressed in words are also sometimes referred to as value labels or value
categories.
Variables - Answer: •Data consist of measurements of a selected group of variables.
(Frequently Tested) with Verified
Answers
Descriptive Statistics - - Answer: •Summarizing large amounts of data.
•Graphs, tables, descriptive summaries (univariate analysis)
•Data reduction
•Descriptive summaries of populations - Parameters.
•Descriptive summaries of samples - Statistics.
•Descriptive analyses are often preliminary to other types of analysis (inferential)
Inferential Statistics - Answer: •Data collected from sample not the population.
•Procedures for determining how safe it would be to make generalizations about the
distribution of measurements of variables within a population based on measurements taken of
a variable within a sample drawn from that population.
•Lets us know how safe it would be to conclude that any relationship among variables found in
a sample might exist within the population.
Qualitative Study - Answer: a method is used to understand people's beliefs, experiences,
attitudes, behavior, and interactions. ... It generates non-numerical data.
questions often contain words like lived experience, personal experience, understanding,
meaning, and stories.
questions can change and evolve as the researcher conducts the study.
Quantitative Study - Answer: involves the use of computational, statistical, and mathematical
tools to derive results.
, It is conclusive in its purpose as it tries to quantify the problem and understand how prevalent it
is by looking for projectable results to a larger population.
descriptive questions are helpful for community scans but cannot investigate causal
relationships between variables.
explanatory questions must include an independent and dependent variable.
Research Hypothesis - Answer: A testable relationship between two or more variables as
expressed in a statement.
A statement that we make about what we believe to be the relationship among variables.
Concept - Answer: -The process of selecting what variables we will need to measure.
•Selecting the most important variables.
•Stating what is exactly meant by each one.
•Stating the value categories or values that each variable can assume.
Attributes - Answer: The different categories that a variable can assume can be expressed in
either words (e.g., homeless, not homeless)
or in numbers, such as the number of times an individual has been hospitalized (e.g., 1, 2, 3).
Attributes that are expressed in words are also sometimes referred to as value labels or value
categories.
Variables - Answer: •Data consist of measurements of a selected group of variables.
