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Why is quantiative observations can be trusted more then qualitative observations?
Quantitative observations can be trusted more than qualitative observations because they rely on numerical data and statistical analysis, which allows for objective measurement and comparison. This objectivity reduces bias and increases the reliability of results, as quantitative data can be replicated and validated across different studies. In contrast, qualitative observations are more subjective and depend on personal interpretations, making them more vulnerable to individual biases and variations in perception. Therefore, quantitative methods often provide a more robust foundation for drawing conclusions.
What is person who studies stats called?
A person who studies statistics is typically referred to as a statistician. Statisticians specialize in the collection, analysis, interpretation, and presentation of quantitative data. They apply statistical theories and methods to solve problems in various fields such as business, healthcare, and social sciences.
What is a research technique that uses the grouped data from several different studies.?
meta- analysis
Compare and contrast quantitative and descriptive research?
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.
Define multivariate analysis?
Multivariate is the study of random variables which are multidimensional. Multivariate study is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest.Multivariate study in MarketingStatistical procedure used in market research where more than one variable is analyzed at the same time. The goal of multivariate study is to identify statistical relationships between the variables, such as the relationship of home and family, or to gauge the dependence of the variables on each other through techniques such as conjoint-analysisor multidimensional scaling. Multivariate study in Dental:A set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.Multivariate study in http://www.answers.com/library/Sports%20Science%20and%20Medicine-cid-9961188A statistical technique in which several dependent variables are analyzed simultaneously. For example, in a study of muscle strength, data may be collected on the age, type of training, and sex of the subjects being studied. In multivariate analysis, the effect of each of these variables can be examined, and also the interaction between them.
What software is commonly used for social studies?
SPSS is often used for statistical analysis.
What has the author Roger V Burton written?
Roger V Burton has written: 'Validity of retrospective reports assessed by the multitrait-multimethod analysis' -- subject(s): Case studies, Child development, Factor analysis, Statistical, Psychometrics, Statistical Factor Analysis
What is an interpretive sociologist?
Breaking the question down: Interpretive is how one perceives and a sociologist is one that studies other cultures, countries, life styles, behaviors. So I guess my best answer would be an interpretive sociologist is one that studies behaviors, life styles, and cultures of people.
Why is quantiative observations can be trusted more then qualitative observations?
Quantitative observations can be trusted more than qualitative observations because they rely on numerical data and statistical analysis, which allows for objective measurement and comparison. This objectivity reduces bias and increases the reliability of results, as quantitative data can be replicated and validated across different studies. In contrast, qualitative observations are more subjective and depend on personal interpretations, making them more vulnerable to individual biases and variations in perception. Therefore, quantitative methods often provide a more robust foundation for drawing conclusions.
What does an analysis do in a science project?
In a science project, analysis involves examining data, observations, or results to draw conclusions, identify patterns, and make inferences. It helps to determine if the experiment supports or refutes the hypothesis, and often involves statistical calculations or comparisons to other studies. This process is essential for interpreting findings and communicating the significance of the research.
What is the significance of conditional analysis in statistical research methodologies?
Conditional analysis is important in statistical research because it allows researchers to examine the relationship between variables while controlling for other factors. This helps to identify the specific impact of a particular variable on the outcome of interest, leading to more accurate and reliable results in research studies.
What is an sociologists?
Breaking the question down: Interpretive is how one perceives and a sociologist is one that studies other cultures, countries, life styles, behaviors. So I guess my best answer would be an interpretive sociologist is one that studies behaviors, life styles, and cultures of people.
Is a meta analysis qualitativ or quantitative?
A meta-analysis is a quantitative research method that statistically combines the results of multiple studies on a particular topic to arrive at a more precise estimate of the effect size. It involves pooling data from individual studies and conducting statistical analyses to draw conclusions about the overall effect of interest.
What has the author Eugene K Harris written?
Eugene K. Harris has written: 'Survivorship analysis for clinical studies' -- subject(s): Biometry, Clinical trials, Methods, Survival Analysis, Survival Rate, Survival analysis (Biometry) 'Statistical bases of reference values in laboratory medicine' -- subject(s): Laboratory Diagnosis, Reference Values, Reference values (Medicine), Statistical Data Interpretation
Why are control groups used in statistical studies?
Because its the group for which the idependent variable is help constand in a statistical study.
What scientist studies physical properties of celestial bodies?
An astronomer or an astrophysicist studies the physical properties of celestial bodies such as stars, planets, galaxies, and other objects in the universe. They use observations, mathematical models, and data analysis to understand the behavior and characteristics of these objects.
What in sociology and statistical studies is the study of election and voting trends?
Psephology
