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Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Social Science Research publishes papers devoted to quantitative social science research and methodology.
- Research Methods for the Social Sciences: Basic Statistics for Social Research
- Social Science Research: Principles, Methods, and Practices
- Research Design: Definition, Characteristics and Types
- Research design
The purpose this paper is to review some of the statistical methods used in the field of social sciences. A review of some of the statistical methodologies used in areas like survey methodology, official statistics, sociology, psychology, political science, criminology, public policy, marketing research, demography, education and economics. Several areas are presented such as parametric modeling, nonparametric modeling and multivariate methods.
Research Methods for the Social Sciences: Basic Statistics for Social Research
Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. Babbie, Earl R. The Practice of Social Research. Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population.
Quantitative research designs are either descriptive [subjects usually measured once] or experimental [subjects measured before and after a treatment]. A descriptive study establishes only associations between variables; an experimental study establishes causality.
Quantitative research deals in numbers, logic, and an objective stance. Quantitative research focuses on numeric and unchanging data and detailed, convergent reasoning rather than divergent reasoning [i. Its main characteristics are :. The overarching aim of a quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is observed.
Things to keep in mind when reporting the results of a study using quantitative methods :. Armonk, NY: M. Sharpe, ; Quantitative Research Methods. Writing CSU. Colorado State University; Singh, Kultar. Quantitative Social Research Methods. Los Angeles, CA: Sage, Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results. A descriptive study is governed by the following rules: subjects are generally measured once; the intention is to only establish associations between variables; and, the study may include a sample population of hundreds or thousands of subjects to ensure that a valid estimate of a generalized relationship between variables has been obtained.
An experimental design includes subjects measured before and after a particular treatment, the sample population may be very small and purposefully chosen, and it is intended to establish causality between variables. Introduction The introduction to a quantitative study is usually written in the present tense and from the third person point of view.
It covers the following information:. Methodology The methods section of a quantitative study should describe how each objective of your study will be achieved. Be sure to provide enough detail to enable the reader can make an informed assessment of the methods being used to obtain results associated with the research problem.
The methods section should be presented in the past tense. Results The finding of your study should be written objectively and in a succinct and precise format. In quantitative studies, it is common to use graphs, tables, charts, and other non-textual elements to help the reader understand the data. Make sure that non-textual elements do not stand in isolation from the text but are being used to supplement the overall description of the results and to help clarify key points being made.
Further information about how to effectively present data using charts and graphs can be found here. Discussion Discussions should be analytic, logical, and comprehensive. The discussion should meld together your findings in relation to those identified in the literature review, and placed within the context of the theoretical framework underpinning the study. The discussion should be presented in the present tense.
Conclusion End your study by to summarizing the topic and provide a final comment and assessment of the study. Black, Thomas R. London: Sage, ; Gay,L. Educational Research: Competencies for Analysis and Applications. Bates College; Nenty, H. Basic Inquiry of Quantitative Research. Kennesaw State University.
Quantitative researchers try to recognize and isolate specific variables contained within the study framework, seek correlation, relationships and causality, and attempt to control the environment in which the data is collected to avoid the risk of variables, other than the one being studied, accounting for the relationships identified. Among the specific strengths of using quantitative methods to study social science research problems:. Sharpe, ; Singh, Kultar.
Quantitative methods presume to have an objective approach to studying research problems, where data is controlled and measured, to address the accumulation of facts, and to determine the causes of behavior. As a consequence, the results of quantitative research may be statistically significant but are often humanly insignificant.
Some specific limitations associated with using quantitative methods to study research problems in the social sciences include:. SAGE publications is a major publisher of studies about how to design and conduct research in the social and behavioral sciences.
The database also includes case studies outlining the research methods used in real research projects. This is an excellent source for finding definitions of key terms and descriptions of research design and practice, techniques of data gathering, analysis, and reporting, and information about theories of research [e. The database covers both qualitative and quantitative research methods as well as mixed methods approaches to conducting research.
Search this Guide Search. Organizing Your Social Sciences Research Paper Offers detailed guidance on how to develop, organize, and write a college-level research paper in the social and behavioral sciences. The Abstract Executive Summary 4. The Introduction The C. The Discussion Limitations of the Study 9. The Conclusion Appendices Definition Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques.
Characteristics of Quantitative Research Your goal in conducting quantitative research study is to determine the relationship between one thing [an independent variable] and another [a dependent or outcome variable] within a population.
Its main characteristics are : The data is usually gathered using structured research instruments. The results are based on larger sample sizes that are representative of the population.
The research study can usually be replicated or repeated, given its high reliability. Researcher has a clearly defined research question to which objective answers are sought. All aspects of the study are carefully designed before data is collected. Data are in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms.
Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships. Researcher uses tools, such as questionnaires or computer software, to collect numerical data. Things to keep in mind when reporting the results of a study using quantitative methods : Explain the data collected and their statistical treatment as well as all relevant results in relation to the research problem you are investigating.
Interpretation of results is not appropriate in this section. Report unanticipated events that occurred during your data collection. Explain how the actual analysis differs from the planned analysis. Explain your handling of missing data and why any missing data does not undermine the validity of your analysis. Explain the techniques you used to "clean" your data set.
Choose a minimally sufficient statistical procedure ; provide a rationale for its use and a reference for it. Specify any computer programs used. Describe the assumptions for each procedure and the steps you took to ensure that they were not violated. When using inferential statistics , provide the descriptive statistics, confidence intervals, and sample sizes for each variable as well as the value of the test statistic, its direction, the degrees of freedom, and the significance level [report the actual p value].
Avoid inferring causality , particularly in nonrandomized designs or without further experimentation. Use tables to provide exact values ; use figures to convey global effects. Keep figures small in size; include graphic representations of confidence intervals whenever possible. Always tell the reader what to look for in tables and figures. Basic Research Design for Quantitative Studies Before designing a quantitative research study, you must decide whether it will be descriptive or experimental because this will dictate how you gather, analyze, and interpret the results.
It covers the following information: Identifies the research problem -- as with any academic study, you must state clearly and concisely the research problem being investigated. Reviews the literature -- review scholarship on the topic, synthesizing key themes and, if necessary, noting studies that have used similar methods of inquiry and analysis.
Note where key gaps exist and how your study helps to fill these gaps or clarifies existing knowledge. Describes the theoretical framework -- provide an outline of the theory or hypothesis underpinning your study.
If necessary, define unfamiliar or complex terms, concepts, or ideas and provide the appropriate background information to place the research problem in proper context [e. Study population and sampling -- where did the data come from; how robust is it; note where gaps exist or what was excluded.
Note the procedures used for their selection; Data collection — describe the tools and methods used to collect information and identify the variables being measured; describe the methods used to obtain the data; and, note if the data was pre-existing [i. If you gathered it yourself, describe what type of instrument you used and why. Note that no data set is perfect--describe any limitations in methods of gathering data.
Data analysis -- describe the procedures for processing and analyzing the data. If appropriate, describe the specific instruments of analysis used to study each research objective, including mathematical techniques and the type of computer software used to manipulate the data.
Statistical analysis -- how did you analyze the data? What were the key findings from the data? The findings should be present in a logical, sequential order. Describe but do not interpret these trends or negative results; save that for the discussion section. The results should be presented in the past tense.
Interpretation of results -- reiterate the research problem being investigated and compare and contrast the findings with the research questions underlying the study. Did they affirm predicted outcomes or did the data refute it?
Social Science Research: Principles, Methods, and Practices
This text provides a great overview of core concepts relevant to health-science research. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. It may be helpful in future editions to add additional Comprehensiveness rating: 4 see less. It may be helpful in future editions to add additional content relating to qualitative research i. For example, if the emphasis of the course will be on quantitative research, then this text is highly relevant, however, if the emphasis is on an equal balance between the traditions of qualitative and quantitative, then this text is slightly less relevant due to the more limited nature of its content in qualitative in comparison to content on quantitative.
Research Design: Definition, Characteristics and Types
Research design is the framework of research methods and techniques chosen by a researcher. The design allows researchers to hone in on research methods that are suitable for the subject matter and set up their studies up for success. There are three main types of research design: Data collection, measurement, and analysis. The type of research problem an organization is facing will determine the research design and not vice-versa.
Learn to recognize sloppy science, perform solid research and do appropriate data analysis. Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity.
Quantitative methods emphasize objective measurements and the statistical, mathematical, or numerical analysis of data collected through polls, questionnaires, and surveys, or by manipulating pre-existing statistical data using computational techniques. Quantitative research focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. Babbie, Earl R.
Rovai, Ph. Baker, Ph. Ponton, Ed.
We are the leading scholarly society concerned with the research and teaching of political science in Europe, headquartered in the UK with a global membership. Our groups and networks are pushing the boundaries of specialist sub-fields of political science, helping to nurture diversity and inclusivity across the discipline. This unique event has helped tens of thousands of scholars over nearly five decades hone research, grow networks and secure publishing contracts. An engaging platform for discussion, debate and thinking; Europe's largest annual gathering of political scientists from across the globe. A comprehensive programme of cutting-edge qualitative and quantitative methodological training delivered by experts across two annual events. Our Standing Groups organise a range of annual events, including summer schools, conferences and workshops, open to all. Our highly regarded peer-reviewed journals, produced in partnership with the world's leading academic publishers, share the best scholarly thinking.
Before beginning your paper, you need to decide how you plan to design the study. The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data. Note that the research problem determines the type of design you should use, not the other way around! De Vaus, D. Research Design in Social Research.
Research design refers to the overall strategy utilized to carry out research  that defines a succinct and logical plan to tackle established research question s through the collection, interpretation, analysis, and discussion of data. The methodologies and methods incorporated in the design of a research study will depend on the standpoint of the researcher over their beliefs in the nature of knowledge see epistemology and reality see ontology , often shaped by the disciplinary areas the researcher belongs to. The design of a study defines the study type descriptive, correlational, semi-experimental, experimental, review, meta-analytic and sub-type e. There are many ways to classify research designs.
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