quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
Quantitative research focuses on numerical data and statistical analysis to identify patterns, relationships, and causal effects, often employing tools like surveys and experiments. In contrast, descriptive research aims to provide a comprehensive overview of a phenomenon through detailed observations and descriptions, without manipulating variables. While quantitative research seeks to quantify outcomes and establish generalizable conclusions, descriptive research emphasizes understanding context and depth, often serving as a foundation for further quantitative studies. Both approaches are valuable, but they serve different purposes in the research process.
Quantitative comes from the word "quantity" meaning an exact amount. A quantitative variable, or answer, is one where an exact numerical value is expected, such as, Liz has 4 dogs. 4 is the quantitative value. Contrast this with qualitative, where an amount is given but without exact numbers. i.e. Liz has MORE dogs than Sue. * * * * * Or even Liz has Labradors, while her parents have Great Danes.
The primary characteristic that distinguishes quantitative data from qualitative data is that quantitative data is numerical and can be measured or counted, allowing for statistical analysis and objective comparisons. In contrast, qualitative data is descriptive and subjective, focusing on characteristics, themes, or qualities that cannot be easily quantified. While quantitative data answers "how much" or "how many," qualitative data explores "why" or "how" regarding a phenomenon.
Answer this question...similarities and differences between normal curve and skewness
The main difference between qualitative and quantitative observations lies in their focus and measurement methods. Qualitative observations describe characteristics or qualities, often using descriptive language, such as colors, textures, or behaviors. In contrast, quantitative observations involve numerical measurements and data, allowing for statistical analysis, such as counts, lengths, or temperatures. Essentially, qualitative is about "what" is observed, while quantitative is about "how much" or "how many."
No, the interpretive paradigm is not quantitative; it is primarily qualitative. This paradigm focuses on understanding social phenomena through the subjective experiences and meanings that individuals attach to them, emphasizing context, interpretation, and the complexity of human behavior. In contrast, quantitative research seeks to measure and analyze variables numerically, often using statistical methods.
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
quantitative = numbers qualitative = not numbers (e.g. gender, state, ...)
Quantitative research focuses on numerical data and statistical analysis to identify patterns, relationships, and causal effects, often employing tools like surveys and experiments. In contrast, descriptive research aims to provide a comprehensive overview of a phenomenon through detailed observations and descriptions, without manipulating variables. While quantitative research seeks to quantify outcomes and establish generalizable conclusions, descriptive research emphasizes understanding context and depth, often serving as a foundation for further quantitative studies. Both approaches are valuable, but they serve different purposes in the research process.
A discrete variable is a type of quantitative variable that can take on a finite or countable number of distinct values. Examples include the number of students in a classroom, the result of a dice roll, or the number of cars in a parking lot. Discrete variables contrast with continuous variables, which can take on any value within a given range. In statistical analysis, discrete variables are often represented by whole numbers.
Compare means to identify similarities between two or more things, while contrast means to identify differences between them. When you compare and contrast, you are examining both the similarities and differences in order to highlight key distinctions.
contrast
compare & contrast the similarities & differences of a relation & function
Compare And Contrast Qualitative And Quantitaitve Research MethodsCompare and contrast Qualitative and Quantitative research methods Monique GowansCharles Stuart UniversityCompare and Contrast Qualitative and Quantitative Research MethodsQualitative research methods are complex meaningful analysis characterised by processes and meanings that are not experimentally examined or measured in terms of mathematical measurements (Lincoln, 2003; Sarantakos, 2005). Quantitative research however, relies and builds on mathematical procedures and methods, such as frequency, quality, amount and statistical procedure. This paper will compare and contrast both qualitative and quantitative research methods endeavouring to highlight differences and similarities between the two methods.Qualitative analysis is a detailed, focused and deep process that seeks to find meaning in social experience (Burton 2007/2010). Qualitative analysis adds emphasis to questions that stress 'how' or 'what meaning' is created and given to certain
compare and contrast mean the equalities and differences between what you are comparing and contrasting.
compare means what two things have in common. contrast are the differences things have.