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The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent and dependent variables, experimental design, and, if applicable, data collection methods and a statistical analysis ...
Exploratory research can add quality and insightful information to a study, and is vital to a study. It allows for the researcher to be creative in order to gain the most insight on a subject. Next, an outside audience will be used for this research, so it is a good opportunity for the researcher to know what works or what is not a productive ...
Descriptive research generally precedes explanatory research. For example, over time the periodic table's description of the elements allowed scientists to explain chemical reaction and make sound prediction when elements were combined. Hence, descriptive research cannot describe what caused a situation. Thus, descriptive research cannot be ...
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
When a sample consists of more than one variable, descriptive statistics may be used to describe the relationship between pairs of variables. In this case, descriptive statistics include: Cross-tabulations and contingency tables; Graphical representation via scatterplots; Quantitative measures of dependence; Descriptions of conditional ...
Quantitative psychological research findings result from mathematical modeling and statistical estimation or statistical inference. The two types of research differ in the methods employed, rather than the topics they focus on. There are three main types of psychological research: Correlational research; Descriptive research; Experimental research
In the field of public administration working hypotheses are used as a conceptual framework for exploratory, applied, empirical research. [28] [29] [30] Research projects that use working hypotheses use a deductive reasoning or logic of inquiry. [3] In other words, the problem and preliminary theory are developed ahead of time and tested using ...
The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]