Using a qualitative framework, cohort studies generally gather data using methods of observation. Cross-Sectional Studies: Design, Application, Strengths and Weaknesses of Cross-Sectional Studies. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning.
Cohorts can be either "open" or "closed."Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated.
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• Single, well-designed studies of an innovative nature.
• Brief reports, including replication or null result studies of previously reported findings, or a well-designed studies addressing questions of limited scope.Most social scientists seek causal explanations that reflect tests of hypotheses. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Measurements are taken on each variable over two or more distinct time periods.Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. California State University, Fresno, 2006; Kirk, Roger E. The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. This allows the researcher to measure change in variables over time.Features: • Papers that present integrated sets of studies that address significant theoretical issues relating to personality.• Theoretical papers and critical reviews of current experimental and methodological interest.The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible.In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. True experiments must have control, randomization, and manipulation.. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.. It is a type of observational study sometimes referred to as a panel study.Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.. Chapter 7, Flexible Methods: Experimental Research. School of Psychology, University of New England, 2000; Chow, Siu L. Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest.Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms.The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved.