Which of the following would sociologists do when undertaking a meta-analysis?
Higgins, J.P.T. & Thomas, J. (Eds.). Cochrane Handbook for Systematic Reviews of Interventions Version 6 (updated October 2019). The Cochrane Collaboration, 2019. Retrieved from: https://training.cochrane.org/handbook/current
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Sometimes a researcher wants to study one specific person or event. A case study is an in-depth analysis of a single event, situation, or individual. To conduct a case study, a researcher examines existing sources like documents and archival records, conducts interviews, engages in direct observation, and even participant observation, if possible. Researchers might use this method to study a single case of, for example, a foster child, drug lord, cancer patient, criminal, or rape victim. However, a major criticism of the case study as a method is that a developed study of a single case, while offering depth on a topic, does not provide enough evidence to form a generalized conclusion. In other words, it is difficult to make universal claims based on just one person, since one person does not verify a pattern. This is why most sociologists do not use case studies as a primary research method. However, case studies are useful when the single case is unique. In these instances, a single case study can add tremendous knowledge to a certain discipline. For example, a feral child, also called “wild child,” is one who grows up isolated from human beings. Feral children grow up without social contact and language, which are elements crucial to a “civilized” child’s development. These children mimic the behaviours and movements of animals, and often invent their own language. There are only about 100 cases of feral children in the world. As you may imagine, a feral child is a subject of great interest to researchers. Feral children provide unique information about child development because they have grown up outside of the parameters of normal child development. And since there are very few feral children, the case study is the most appropriate method for researchers to use in studying the subject. At age three, a Ukrainian girl named Oxana Malaya suffered severe parental neglect. She lived in a shed with dogs, eating raw meat and scraps. Five years later, a neighbour called authorities and reported seeing a girl who ran on all fours, barking. Officials brought Oxana into society, where she was cared for and taught some human behaviours, but she never became fully socialized. She has been designated as unable to support herself and now lives in a mental institution (Grice, 2006). Case studies like this offer a way for sociologists to collect data that may not be collectable by any other method. 4. Secondary Data or Textual AnalysisWhile sociologists often engage in original research studies, they also contribute knowledge to the discipline through secondary data or textual analysis. Secondary data do not result from firsthand research collected from primary sources, but are drawn from the already-completed work of other researchers. Sociologists might study texts written by historians, economists, teachers, or early sociologists. They might search through periodicals, newspapers, or magazines from any period in history. Using available information not only saves time and money, but it can add depth to a study. Sociologists often interpret findings in a new way, a way that was not part of an author’s original purpose or intention. To study how women were encouraged to act and behave in the 1960s, for example, a researcher might watch movies, televisions shows, and situation comedies from that period. Or to research changes in behaviour and attitudes due to the emergence of television in the late 1950s and early 1960s, a sociologist would rely on new interpretations of secondary data. Decades from now, researchers will most likely conduct similar studies on the advent of mobile phones, the internet, or Facebook. One methodology that sociologists employ with secondary data is content analysis. Content analysis is a quantitative approach to textual research that selects an item of textual content (i.e., a variable) that can be reliably and consistently observed and coded, and surveys the prevalence of that item in a sample of textual output. For example, Gilens (1996) wanted to find out why survey research shows that the American public substantially exaggerates the percentage of African Americans among the poor. He examined whether media representations influence public perceptions and did a content analysis of photographs of poor people in American news magazines. He coded and then systematically recorded incidences of three variables: (1) race: white, black, indeterminate; (2) employed: working, not working; and (3) age. Gilens discovered that not only were African Americans markedly overrepresented in news magazine photographs of poverty, but that the photos also tended to under represent “sympathetic” subgroups of the poor—the elderly and working poor—while over representing less sympathetic groups—unemployed, working age adults. Gilens concluded that by providing a distorted representation of poverty, U.S. news magazines “reinforce negative stereotypes of blacks as mired in poverty and contribute to the belief that poverty is primarily a ‘black problem’” (1996). Social scientists also learn by analyzing the research of a variety of agencies. Governmental departments, public interest research groups, and global organizations like Statistics Canada, the Canadian Centre for Policy Alternatives, or the World Health Organization publish studies with findings that are useful to sociologists. A public statistic that measures inequality of incomes might be useful for studying who benefited and who lost as a result of the 2008 recession; a demographic profile of different immigrant groups might be compared with data on unemployment to examine the reasons why immigration settlement programs are more effective for some communities than for others. One of the advantages of secondary data is that it is nonreactive (or unobtrusive) research, meaning that it does not include direct contact with subjects and will not alter or influence people’s behaviours. Unlike studies requiring direct contact with people, using previously published data does not require entering a population and the investment and risks inherent in that research process. Using available data does have its challenges. Public records are not always easy to access. A researcher needs to do some legwork to track them down and gain access to records. In some cases there is no way to verify the accuracy of existing data. It is easy, for example, to count how many drunk drivers are pulled over by the police. But how many are not? While it’s possible to discover the percentage of teenage students who drop out of high school, it might be more challenging to determine the number who return to school or get their high school diplomas later. Another problem arises when data are unavailable in the exact form needed or do not include the precise angle the researcher seeks. For example, the salaries paid to professors at universities are often published, but the separate figures do not necessarily reveal how long it took each professor to reach the salary range, what their educational backgrounds are, or how long they have been teaching. In his research, sociologist Richard Sennett uses secondary data to shed light on current trends. In The Craftsman (2008), he studied the human desire to perform quality work, from carpentry to computer programming. He studied the line between craftsmanship and skilled manual labour. He also studied changes in attitudes toward craftsmanship that occurred not only during and after the Industrial Revolution, but also in ancient times. Obviously, he could not have firsthand knowledge of periods of ancient history, so he had to rely on secondary data for part of his study. When conducting secondary data or textual analysis, it is important to consider the date of publication of an existing source and to take into account attitudes and common cultural ideals that may have influenced the research. For example, Robert and Helen Lynd gathered research for their book Middletown: A Study in Modern American Culture in the 1920s. Attitudes and cultural norms were vastly different then than they are now. Beliefs about gender roles, race, education, and work have changed significantly since then. At the time, the study’s purpose was to reveal the truth about small American communities. Today, it is an illustration of 1920s attitudes and values. One of the common forms in which one encounters secondary data is the contingency table. A contingency table provides a frequency distribution of at least two variables that allows the researcher to see at a glance how the variables are related. Table 2.3 shows the frequency of different types of firearm crime for Canada and the United States. In this table, the independent variable (the causal variable) is the country, either Canada or the United States. The dependent variable, displayed in the columns, is the frequency of offences that involve firearms in the two countries. This is given as an absolute number (“number”), as a percentage of the total number of crimes in that category (i.e., as a percentage of the total number of homicides, major assaults and robberies; “percent of total offences”), and as rate calculated per 100,000 population (“rate”).To interpret the table, the researcher has to pay attention to what adds up to 100%. In this table we have not been given the complete information in each column, but it is straight forward to recognize that if 33% of the homicides in Canada involved the use of a firearm, another 67% of homicides did not. The table, therefore, does not say that 33% of all firearm crimes in Canada were homicides. From these figures one can also calculate the total number of homicides that took place in Canada in 2012 by a simple ratio: If the 172 homicides that involved firearms represents 33% or 1/3 of all the Canadian homicides, then there were (approximately) 516 homicides in Canada in 2012. The table suggests that there is a definite correlation between country and firearm-related violent crime. Violent crime in the United States tends to involve firearms much more frequently than violent crime in Canada. With respect to homicides, there were 8,813 homicides involving firearms in the United States in 2012, accounting for 69% of all homicides, while in Canada, firearms accounted for 33% of homicides. The column that gives the rates of firearm violence per 100,000 population allows the researcher to identify a comparison figure that takes into account the different population sizes of the two countries. The rate of firearm-related homicide in the United States was about seven times higher than in Canada in 2012 (0.5 per 100,000 compared to 3.5 per 100,000), firearm-related major assault was about ten times higher (53 per 100,000 compared to 5 per 100,000), and firearm-related robbery was about five times higher (8.9 per 100,000 compared to 45.1 per 100,000). The question that this data raises is about causation. Why are firearm-related violent crimes so much lower in Canada than in the United States? One key element are the legal restrictions on firearm possession in the two countries. Canadian law requires that an individual has a valid license under the Firearms Act in order to own or possess a firearm or to purchase ammunition. Until 2012, all firearms also had to be registered, but with the repeal of the national gun registry provisions for long guns (rifles and shot guns), currently only hand guns and prohibited weapons (assault weapons, fully automatic firearms, and sawed-off rifles or shotguns) have to be registered. In the United States firearm regulations are state-specific and only a few states place restrictions on the possession of firearms. In 2007, there were 89 firearms for every 100 citizens in the United States, which is the highest rate of gun ownership of any country (Cotter, 2014). Nevertheless, as Canada’s firearm-related homicide rate is higher than several peer countries, most notably Japan and the United Kingdom, variables other than gun control legislation might be a factor. SummaryAs noted above, there is not only a variety of theoretical perspectives in sociology, but also a diversity of research methodologies that can be used in studying the social. In large part, the choice of research methodology follows from the choice of the research question. Of course, the choice of the research question itself depends on the same sort of underlying values and decisions about the nature of the world that divide the theoretical perspectives in sociology. In addition, the choice of the research question involves both the character of the social phenomenon being studied and the purpose of the research in the first place. Figure 2.18. Research methods summary. [Long Description] (Source: William Little)Again, it is useful to map out the different methodologies in a diagram. We can position them along two axes according to: (a) whether the subject matter or purpose of the research calls for highly reliable findings — consistent between research contexts (high reliability) — or for highly valid and nuanced findings true to the specific social situation under observation (unique observation), and (b) whether the nature of the object of research can be meaningfully operationalized and measured using quantitative techniques (quantitative data) or is better grasped in terms of the texture of social meanings that constitute it (qualitative data). The advantages and disadvantages of the different methodologies are summarized in Table 2.4 below. Table 2.4. Main Sociological Research Methods. Sociological research methods have advantages and disadvantages.MethodImplementationAdvantagesChallengesSurvey
2.3. Ethical ConcernsSociologists conduct studies to shed light on human behaviours. Knowledge is a powerful tool that can be used toward positive change. And while a sociologist’s goal is often simply to uncover knowledge rather than to spur action, many people use sociological studies to help improve people’s lives. In that sense, conducting a sociological study comes with a tremendous amount of responsibility. Like any researchers, sociologists must consider their ethical obligation to avoid harming subjects or groups while conducting their research. The Canadian Sociological Association (CSA), is the major professional organization of sociologists in Canada. The CSA is a great resource for students of sociology as well. The CSA maintains a code of ethics — formal guidelines for conducting sociological research — consisting of principles and ethical standards to be used in the discipline. It also describes procedures for filing, investigating, and resolving complaints of unethical conduct. These are in line with the Tri-Council Policy Statement on Ethical Conduct for Research Involving Humans (2010), which applies to any research with human subjects funded by one of the three federal research agencies — the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Social Sciences and Humanities Research Council of Canada (SSHRC). Practising sociologists and sociology students have a lot to consider. Some of the guidelines state that researchers must try to be skillful and fair-minded in their work, especially as it relates to their human subjects. Researchers must obtain participants’ informed consent, and they must inform subjects of the responsibilities and risks of research before they agree to participate. During a study, sociologists must ensure the safety of participants and immediately stop work if a subject becomes potentially endangered on any level. Researchers are required to protect the privacy of research participants whenever possible. Even if pressured by authorities, such as police or courts, researchers are not ethically allowed to release confidential information. Researchers must make results available to other sociologists, must make public all sources of financial support, and must not accept funding from any organization that might cause a conflict of interest or seek to influence the research results for its own purposes. The CSA’s ethical considerations shape not only the study but also the publication of results. Pioneer German sociologist Max Weber identified another crucial ethical concern. Weber understood that personal values could distort the framework for disclosing study results. While he accepted that some aspects of research design might be influenced by personal values, he declared it was entirely inappropriate to allow personal values to shape the interpretation of the responses. Sociologists, he stated, must establish value neutrality, a practice of remaining impartial, without bias or judgement, during the course of a study and in publishing results (1949). Sociologists are obligated to disclose research findings without omitting or distorting significant data. Value neutrality does not mean having no opinions. It means striving to overcome personal biases, particularly subconscious biases, when analyzing data. It means avoiding skewing data in order to match a predetermined outcome that aligns with a particular agenda, such as a political or moral point of view. Investigators are ethically obligated to report results, even when they contradict personal views, predicted outcomes, or widely accepted beliefs. Is value neutrality possible? Many sociologists believe it is impossible to set aside personal values and retain complete objectivity. Individuals inevitably see the world from a partial perspective. Their interests are central to the types of topics they choose, the types of questions they ask, the way they frame their research, and the research methodologies they select to pursue it. Moreover, facts, however objective, do not exist in a void. As was noted in Chapter 1, Jürgen Habermas (1972) argues that sociological research has built-in interests quite apart from the personal biases of individual researchers. Positivist sociology has an interest in pursuing types of knowledge that are useful for controlling and administering social life. Interpretive sociology has an interest in pursuing types of knowledge that promote greater mutual understanding and the possibility of consensus among members of society. Critical sociology has an interest in types of knowledge that enable emancipation from power relations and forms of domination in society. In Habermas’ view, sociological knowledge is not disinterested knowledge. This does not discredit the results of sociological research but allows readers to take into account the perspective of the research when judging the validity and applicability of its outcomes. Key Termsauthoritative knowledge: Knowledge based on the accepted authority of the source. case study: In-depth analysis of a single event, situation, or individual. casual observation: Knowledge based on observations without any systematic process for observing or assessing the accuracy of observations. code of ethics: A set of guidelines that the Canadian Sociological Association has established to foster ethical research and professionally responsible scholarship in sociology. content analysis: A quantitative approach to textual research that selects an item of textual content that can be reliably and consistently observed and coded, and surveys the prevalence of that item in a sample of textual output. contingency table: A statistical table that provides a frequency distribution of at least two variables. control group: An experimental group that is not exposed to the independent variable. correlation: When a change in one variable coincides with a change in another variable, but does not necessarily indicate causation. dependent variable: Variable changed by another variable. empirical evidence: Evidence corroborated by direct experience and/or observation. ethnography: Observing a complete social setting and all that it entails. experiment: The testing of a hypothesis under controlled conditions. field research: Gathering data from a natural environment without doing a lab experiment or a survey. Hawthorne effect: When study subjects behave in a certain manner due to their awareness of being observed by a researcher. hypothesis: An educated guess with predicted outcomes about the relationship between two or more variables. hypothetico-deductive methodologies: Methodologies based on deducing a prediction from a hypothesis and testing the validity of the hypothesis by whether it correctly predicts observations. independent variable: Variable that causes change in a dependent variable. inductive approach: Methodologies that derive a general statement from a series of empirical observations. institutional ethnography: The study of the way everyday life is coordinated through institutional, textually mediated practices. interpretive approach: A sociological research approach that seeks in-depth understanding of a topic or subject through observation or interaction. intervening variable: An underlying variable that explains the correlation between two other variables. interview: A one-on-one conversation between a researcher and a subject. literature review: A scholarly research step that entails identifying and studying all existing studies on a topic to create a basis for new research. nonreactive: Unobtrusive research that does not include direct contact with subjects and will not alter or influence people’s behaviours. operational definitions: Specific explanations of abstract concepts that a researcher plans to study. overgeneralization: Knowledge that draws general conclusions from limited observations. participant observation: Immersion by a researcher in a group or social setting in order to make observations from an “insider” perspective. population: A defined group serving as the subject of a study. positivist approach: A research approach based on the natural science model of knowledge utilizing a hypothetico-deductive formulation of the research question and quantitative data. primary data: Data collected directly from firsthand experience. qualitative data: Information based on interpretations of meaning. quantitative data: Information from research collected in numerical form that can be counted. random sample: A study’s participants being randomly selected to serve as a representation of a larger population reliability a measure of a study’s consistency that considers how likely results are to be replicated if a study is reproduced research design a detailed, systematic method for conducting research and obtaining data. sample: Small, manageable number of subjects that represent the population. scientific method: A systematic research method that involves asking a question, researching existing sources, forming a hypothesis, designing and conducting a study, and drawing conclusions. secondary data analysis: Using data collected by others but applying new interpretations. selective observation: Knowledge based on observations that only confirm what the observer expects or wants to see. surveys: Data collections from subjects who respond to a series of questions about behaviours and opinions, often in the form of a questionnaire. textually mediated communication: Institutional forms of communication that rely on written documents, texts, and paperwork. traditional knowledge: Knowledge based on received beliefs or the way things have always been done. validity: The degree to which a sociological measure accurately reflects the topic of study. value neutrality: A practice of remaining impartial, without bias or judgment, during the course of a study and in publishing results. variable: A characteristic or measure of a social phenomenon that can take different values. Section Summary
Section Quiz
2. Sociological studies test relationships in which change in one ______ causes change in another.
3. In a study, a group of 10-year-old boys are fed doughnuts every morning for a week and then weighed to see how much weight they gained. Which factor is the dependent variable?
4. Which statement provides the best operational definition of “childhood obesity”?
6. What method did Andrew Ivsins use to study crack cocaine users in Victoria?
7. Why is choosing a random sample an effective way to select participants?
8. What research method did John S. Lynd and Helen Merrell Lynd mainly use in their Middletown study?
9. Which research approach is best suited to the positivist approach?
10. The main difference between ethnography and other types of participant observation is:
11. Which best describes the results of a case study?
12. Using secondary data is considered an unobtrusive or ________ research method.
14. Which person or organization defined the concept of value neutrality?
15. To study the effects of fast food on lifestyle, health, and culture, from which group would a researcher ethically be unable to accept funding?
Short Answer
Further Research
Founded in 1966, the CSA is a nonprofit organization located in Montreal, Quebec, with a membership of 900 researchers, faculty members, students, and practitioners of sociology. Its mission is to promote “research, publication and teaching in Sociology in Canada.” Learn more about the Canadian Sociological Association at http://www.csa-scs.ca/. ReferencesBrym, R., Roberts, L., Lie, J., & Rytina, S. (2013). Sociology: Your compass for a new world (4th Canadian ed.). Toronto, ON: Nelson. Merton, R. (1973). The normative structure of science. In The sociology of science theoretical and empirical investigation (pp. 267-278). Merton, R. (1968). Social theory and social structure. New York, NY: Free Press (Original work published 1949). Mikkelson, B. (2005). Grandma’s cooking secret. Snopes.com. Rumor has it. Retrieved from http://www.snopes.com/weddings/newlywed/secret.asp. Pape, R. (2005). Dying to win: The strategic logic of suicide terrorism. New York, NY: Random House. Patel, F. (2011). Rethinking radicalization. Retrieved from https://www.brennancenter.org/publication/rethinking-radicalization. Cotter, A. (2014). Firearms and violent crime in Canada, 2012. Juristat (Statistics Canada catalogue No. 85-002-X). Retrieved from http://www.statcan.gc.ca/pub/85-002-x/2014001/article/11925-eng.htm. Forget, E. (2011). The town with no poverty: Using health administration data to revisit outcomes of a Canadian guaranteed annual income field experiment. Canadian Public Policy, 37(3), 282-305. Franke, R., & Kaul, J. (1978). The Hawthorne experiments: First statistical interpretation. American Sociological Review, 43(5), 632–643. Geertz, C. (1977). Thick description: Toward an interpretive theory of culture. In The interpretation of cultures: Selected essays (pp. 3-30). New York, NY: Basic Books. Gilens, M. (1996). Race and poverty in America: Public misperceptions and the American news media. The Public Opinion Quarterly, 60(4), 515–541. Grice, E. (2006). Cry of an enfant sauvage. The Telegraph. Retrieved from http://www.telegraph.co.uk/culture/tvandradio/3653890/Cry-of-an-enfant-sauvage.html. Glaser, B., & Strauss, A. (1967). The discovery of grounded theory: Stategies for qualitative research. Chicago, IL: Aldine. Haney, C., Banks, W. C., & Zimbardo, P. G. (1973). Interpersonal dynamics in a simulated prison. International Journal of Criminology and Penology, 1, 69–97. Hartnagel, T. (2004). Correlates of criminal behaviour. In Criminology: A Canadian perspective (5th ed.). Toronto, ON: Nelson. Ivsins, A. K. (2010). “Got a pipe?” The social dimensions and functions of crack pipe sharing among crack users in Victoria, BC [PDF] (Master’s thesis, Department of Sociology, University of Victoria). Retrieved from http://dspace.library.uvic.ca:8080/bitstream/handle/1828/3044/Full%20thesis%20Ivsins_CPS.2010_FINAL.pdf?sequence=1. Lowrey, A. (2013, November 12). Switzerland’s proposal to pay people for being alive. The New York Times Magazine. Retrieved from http://www.nytimes.com/2013/11/17/magazine/switzerlands-proposal-to-pay-people-for-being-alive.html?pagewanted=1&_r=2. Lynd, R. S., & Lynd, H. M. (1959). Middletown: A study in modern American culture. San Diego, CA: Harcourt Brace Javanovich. Lynd, S. (2005). Making Middleton. Indiana Magazine of History, 101(3), 226–238. Marshall, B. D. L., Milloy, M. J., Wood, E., Montaner, J. S. G., & Kerr, T. (2011). Reduction in overdose mortality after the opening of North America’s first medically supervised safer injecting facility: A retrospective population-based study. Lancet, 377(9775), 1429–1437. Office of the Correctional Investigator, Government of Canada. (2013). Backgrounder: Aboriginal offenders—a critical situation. Retrieved from http://www.oci-bec.gc.ca/cnt/rpt/oth-aut/oth-aut20121022info-eng.aspx. Popper, K. (1963). Conjectures and refutations: The growth of scientific knowledge. London: Routledge. Rothman, R. (2000, November 27). My fake job. The New Yorker, 120. Sennett, R. (2008). The craftsman. Retrieved from http://www.richardsennett.com/site/SENN/Templates/General.aspx?pageid=40. Smith, D. (1990). Textually mediated social organization. In Texts, facts and femininity: Exploring the relations of ruling (pp. 209–234). London: Routledge. Smith, D. (2005). Institutional ethnography: A sociology for people. Toronto, ON: Altamira Press. Sonnenfeld, J. A. (1985). Shedding light on the Hawthorne studies. Journal of Occupational Behavior 6, 125. Wood, E., Tyndall, M. W., Montaner, J. S., & Kerr, T. (2006). Summary of findings from the evaluation of a pilot medically supervised safer injecting facility. Canadian Medical Association Journal 175(11), 1399–1404.
Canadian Sociological Association. (2012). Statement of professional ethics [PDF]. Retrieved from http://www.csa-scs.ca/files/www/csa/documents/codeofethics/2012Ethics.pdf. Habermas, J. (1972). Knowledge and human interests. Boston, MA: Beacon Press. Weber, M. (1949). Methodology of the social sciences (H. Shils & E. Finch, Trans.). Glencoe, IL: Free Press. Solutions to Section Quiz1 C, | 2 C, | 3 D, | 4 C, | 5 B, | 6 C, | 7 D, | 8 C, | 9 A, | 10 A, | 11 B, | 12 A, | 13 B, | 14 D, | 15 A, Image AttributionsFigure 2.9. Hawthorne Works factory of the Western Electric Company, 1925. By Western Electric Company (Western Electric Company Photograph Album, 1925.) [Public domain], via Wikimedia Commons. https://commons.wikimedia.org/wiki/File:Hawthorne,_Illinois_Works_of_the_Western_Electric_Company,_1925.jpg Figure 2.10. Didn’t they abolish the mandatory census? Then what’s this? by Khosrow Ebrahimpour (https://www.flickr.com/photos/xosrow/5685345306/in/photolist-9EoT5W-ow4tdu-oeGG4m-oeMEcK-oy2jM2-ovJC8w-oePSRQ-9J2V24-of1Hnu-of243u-of2K2B-of2FHn-owiBSA-owtQN3-of1Ktd-oitLSC-oeVJte-oep8KX-ovEz8w-oeohhF-oew5Xb-oewdWN-owavju-oeMEnV-oweLcN-ovEPGG-ovAQUX-oeo2eL-oeo3Fd-oeoqxh-oxCKnv-ovEzA5-oewFHa-ovHRSz-ow8QtY-oeQY6Y-oeZReR-oeQmHw-oeKXid-oeQLKa-oy6fNT-ow4sVT-oeQMQq-oeQPPr-oeQYbL-ow8hS1-ow4n8v-owiPKS-oeQF41-oeiH5z) used under CC BY 2.0 (https://creativecommons.org/licenses/by/2.0/) Figure 2.11. Dauphin Canadian Northern Railway Station by Bobak Ha’Eri (http://commons.wikimedia.org/wiki/File:2009-0520-TrainStation-Dauphin.jpg) used under CC BY 3.0 license (http://creativecommons.org/licenses/by/3.0/deed.en) Figure 2.12. Punk Band by Patrick (https://www.flickr.com/photos/lordkhan/181561343/in/photostream/) used under CC BY 2.0 (https://creativecommons.org/licenses/by/2.0/) Figure 2.13. Crack Cocaine Smokers in Vancouver Alleyway (http://commons.wikimedia.org/wiki/File:Crack_Cocaine_Smokers_in_Vancouver_Alleyway.jpg) is in the public domain (http://en.wikipedia.org/wiki/Public_domain) Figure 2.15. Muncie, Indiana High School: 1917 by Don O’Brien (https://www.flickr.com/photos/dok1/3694125269/) used under CC BY 2.0 license (https://creativecommons.org/licenses/by/2.0/) Long DescriptionsFigure 2.5 Long Description: The Scientific Method has a series of steps which can form a repeating cycle.
Figure 2.17 Long Description:
Figure 2.18 Long description: Different Research Methods: Textual analysis uses qualitative data and is highly reliable. Participant observation uses qualitative data and is a unique observation. Experiments and survey research use quantitative data and are highly reliable. Journalism uses quantitative data and is a unique observation. What is metaAbstract. Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields.
What is metaA systematic review refers to the process of systematically locating and collating all available information on an effect. Meta-analysis refers to the statistical techniques used to combine this information to give an overall estimate of the effect in the population.
Which of the following is the aim of quantitative research methods in sociology?In essence, the goal of quantitative research studies is to understand the relationship in a population between an independent variable and one or more dependent variables.
Which is an advantage of metaBenefits of meta-analysis
Through meta-analysis, researchers can combine smaller studies, essentially making them into one big study, which may help show an effect. Additionally, a meta-analysis can help increase the accuracy of the results. This is also because it is, in effect, increasing the size of the study.
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