Single-subject research is a group of research methods that are used extensively in the experimental analysis of behavior and applied behavior analysis with both human and non-human participants. This research strategy focuses on one participant and tracks their progress in the research topic over a period of time. Single-subject research allows researchers to track changes in an individual over a large stretch of time instead of observing different people at different stages. This type of research can provide critical data in several fields, specifically psychology. It is most commonly used in experimental and applied analysis of behaviors. This research has been heavily debated over the years. Some believe that this research method is not effective at all while others praise the data that can be collected from it. Principal methods in this type of research are: A-B-A-B designs, Multi-element designs, Multiple Baseline designs, Repeated acquisition designs, Brief experimental designs and Combined designs.
43-417: These methods form the heart of the data collection and analytic code of behavior analysis. Behavior analysis is data driven, inductive, and disinclined to hypothetico-deductive methods. Experimental questions are decisive in determining the nature of the experimental design to be selected. There are four basic types of experimental questions: demonstration, comparison, parametric, and component. A demonstration
86-468: A fallacy . Philosophers who study informal logic have compiled large lists of them, and cognitive psychologists have documented many biases in human reasoning that favor incorrect reasoning. AI systems first provided automated logical inference and these were once extremely popular research topics, leading to industrial applications under the form of expert systems and later business rule engines . More recent work on automated theorem proving has had
129-575: A subset of predicate calculus . Its main job is to check whether a certain proposition can be inferred from a KB (knowledge base) using an algorithm called backward chaining . Let us return to our Socrates syllogism . We enter into our Knowledge Base the following piece of code: ( Here :- can be read as "if". Generally, if P → {\displaystyle \to } Q (if P then Q) then in Prolog we would code Q :- P (Q if P).) This states that all men are mortal and that Socrates
172-415: A 0.9 probability is to say that you consider the possibility of rain tomorrow as extremely likely. Through the rules of probability, the probability of a conclusion and of alternatives can be calculated. The best explanation is most often identified with the most probable (see Bayesian decision theory ). A central rule of Bayesian inference is Bayes' theorem . A relation of inference is monotonic if
215-411: A baseline (A #1) then introduce a new behavior or treatment (B #1). Then there is a return to the baseline (A #2) by removing B #1. B #2 is a return of the new behavior or treatment. An AB design is a two-part or phase design composed of a baseline ("A" phase) with no changes and a treatment or intervention ("B") phase. If there is a change then the treatment may be said to have had an effect. However, it
258-491: A certain degree of accuracy, or correct in certain situations. Conclusions inferred from multiple observations may be tested by additional observations. This definition is disputable (due to its lack of clarity. Ref: Oxford English dictionary: "induction ... 3. Logic the inference of a general law from particular instances." ) The definition given thus applies only when the "conclusion" is general. Two possible definitions of "inference" are: Ancient Greek philosophers defined
301-450: A chance factor. By gathering data from many subjects (instances), inferences can be made about the likeliness that the measured trait generalizes to a greater population. In multiple baseline designs, the experimenter starts by measuring a trait of interest, then applies a treatment before measuring that trait again. Treatment does not begin until a stable baseline has been recorded, and does not finish until measures regain stability. If
344-616: A criterion for reinforcement is changed across the experiment to demonstrate a functional relation between the reinforcement and the behavior. Multiple baseline design A multiple baseline design is used in medical, psychological, and biological research. The multiple baseline design was first reported in 1960 as used in basic operant research. It was applied in the late 1960s to human experiments in response to practical and ethical issues that arose in withdrawing apparently successful treatments from human subjects. In it two or more (often three) behaviors, people or settings are plotted in
387-407: A group research project. In addition to multiple baseline designs, a way to deal with problematic reversibility is the use of repeated acquisitions. A designed favored by applied settings researchers where logistical challenges, time and other limits make research difficult are variants of multi-element and A-B-A-B type designs. Combined Single-subject research is used to gain added knowledge on
430-402: A number of syllogisms , correct three part inferences, that can be used as building blocks for more complex reasoning. We begin with a famous example: The reader can check that the premises and conclusion are true, but logic is concerned with inference: does the truth of the conclusion follow from that of the premises? The validity of an inference depends on the form of the inference. That is,
473-418: A number of desirable features—one of them is that it embeds deductive (certain) logic as a subset (this prompts some writers to call Bayesian probability "probability logic", following E. T. Jaynes ). Bayesians identify probabilities with degrees of beliefs, with certainly true propositions having probability 1, and certainly false propositions having probability 0. To say that "it's going to rain tomorrow" has
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#1732787016257516-741: A significant change occurs across all participants the experimenter may infer that the treatment is effective. Multiple base-line experiments are most commonly used in cases where the dependent variable is not expected to return to normal after the treatment has been applied, or when medical reasons forbid the withdrawal of a treatment. They often employ particular methods or recruiting participants. Multiple baseline designs are associated with potential confounds introduced by experimenter bias, which must be addressed to preserve objectivity. Particularly, researchers are advised to develop all test schedules and data collection limits beforehand. Although multiple baseline designs may employ any method of recruitment, it
559-608: A small city in Siberia starts winning game after game. The team even defeats the Moscow team. Inference: The small city in Siberia is not a small city anymore. The Soviets are working on their own nuclear or high-value secret weapons program. Knowns: The Soviet Union is a command economy : people and material are told where to go and what to do. The small city was remote and historically had never distinguished itself; its soccer season
602-421: A staggered graph where a change is made to one, but not the other two, and then to the second, but not the third behavior, person or setting. Differential changes that occur to each behavior, person or in each setting help to strengthen what is essentially an AB design with its problematic competing hypotheses. Because treatment is started at different times, changes are attributable to the treatment rather than to
645-416: A stronger basis in formal logic. An inference system's job is to extend a knowledge base automatically. The knowledge base (KB) is a set of propositions that represent what the system knows about the world. Several techniques can be used by that system to extend KB by means of valid inferences. An additional requirement is that the conclusions the system arrives at are relevant to its task. Additionally,
688-417: A treatment then resumes its effects when reapplied, the researcher can have greater confidence in the efficacy of that treatment. However, many interventions cannot be reversed, some for ethical reasons (e.g., involving self-injurious behavior, smoking) and some for practical reasons (they cannot be unlearned, like a skill). Further ethics notes: It may be unethical to end an experiment on a baseline measure if
731-440: Is gathered a note of the dates should be tagged to each measurement in order to provide an accurate time-line for potential reviewers. This data may represent unnatural behaviour or states of mind, and must be considered carefully during interpretation. Inference Inferences are steps in reasoning , moving from premises to logical consequences ; etymologically, the word infer means to "carry forward". Inference
774-442: Is "Does A cause or influence B?". A comparison is "Does A1 or A2 cause or influence B more?". A parametric question is "How much of A will cause how much change or influence on B?". A component question is "Which part of A{1,2,3} - A1 or A2 or A3... - causes or influences B?" where A is composed of parts that can be separated and tested. The A-B-A-B design is useful for demonstration questions. A-B-A-B designs begin with establishing
817-665: Is a man. Now we can ask the Prolog system about Socrates: (where ?- signifies a query: Can mortal(socrates). be deduced from the KB using the rules) gives the answer "Yes". On the other hand, asking the Prolog system the following: gives the answer "No". This is because Prolog does not know anything about Plato , and hence defaults to any property about Plato being false (the so-called closed world assumption ). Finally ?- mortal(X) (Is anything mortal) would result in "Yes" (and in some implementations: "Yes": X=socrates) Prolog can be used for vastly more complicated inference tasks. See
860-526: Is debate as to whether nonconcurrent studies represent a real threat from history effects. It is generally agreed, however, that concurrent testing is more stable. Although multiple baseline experimental designs compensate for many of the issues inherent in ex post facto recruitment, experimental manipulation of a trait gathered by this method may not be manipulated. Thus these studies are prevented from inferring causation if there are no phases to demonstrate reversibility. However, if such phases are included (as
903-448: Is essentially an AB design with its problematic competing hypotheses. Multiple baseline tests are used to determine the helpfulness of an intervention. By focusing daily data collection on one participant, researchers can prepare to expand their research. This research method yields a high amount of data that can be analyzed by researchers. This data can then be used to support a researchers hypothesis and/or give insight before moving on to
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#1732787016257946-479: Is often associated with "ex post facto" recruitment. This is because multiple baselines can provide data regarding the consensus of a treatment response. Such data can often not be gathered from ABA (reversal) designs for ethical or learning reasons. Experimenters are advised not to remove cases that do not exactly fit their criteria, as this may introduce sampling bias and threaten validity. Ex post facto recruitment methods are not considered true experiments, due to
989-492: Is sometimes distinguished, notably by Charles Sanders Peirce , contradistinguishing abduction from induction. Various fields study how inference is done in practice. Human inference (i.e. how humans draw conclusions) is traditionally studied within the fields of logic, argumentation studies, and cognitive psychology ; artificial intelligence researchers develop automated inference systems to emulate human inference. Statistical inference uses mathematics to draw conclusions in
1032-465: Is subject to many possible competing hypotheses, making strong conclusions difficult. Variants on the AB design introduce ways to control for the competing hypotheses to allow for stronger conclusions. The reversal design is the most powerful of the single-subject research designs showing a strong reversal from baseline ("A") to treatment ("B") and back again. If the variable returns to baseline measure without
1075-507: Is the standard of experimentation), they can successfully demonstrate causation. A priori (beforehand) specification of the hypothesis , time frames, and data limits help control threats due to experimenter bias . For the same reason researchers should avoid removing participants based on merit. Multiple probe designs may be useful in identifying extraneous factors which may be influencing your results. Lastly, experimenters should avoid gathering data during sessions alone. If in-session data
1118-463: Is theoretically traditionally divided into deduction and induction , a distinction that in Europe dates at least to Aristotle (300s BCE). Deduction is inference deriving logical conclusions from premises known or assumed to be true , with the laws of valid inference being studied in logic . Induction is inference from particular evidence to a universal conclusion. A third type of inference
1161-447: Is worth or even necessary (e.g. in medical diagnosis) to take the risk. Yet we are also aware that such inference is defeasible—that new information may undermine old conclusions. Various kinds of defeasible but remarkably successful inference have traditionally captured the attention of philosophers (theories of induction, Peirce's theory of abduction , inference to the best explanation, etc.). More recently logicians have begun to approach
1204-446: The addition of premises does not undermine previously reached conclusions; otherwise the relation is non-monotonic . Deductive inference is monotonic: if a conclusion is reached on the basis of a certain set of premises, then that conclusion still holds if more premises are added. By contrast, everyday reasoning is mostly non-monotonic because it involves risk: we jump to conclusions from deductively insufficient premises. We know when it
1247-414: The advantage of greater flexibility in recruitment of participants and testing location. For this reason, perhaps, nonconcurrent multiple baseline experiments are recommended for research in an educational setting. It is recommended that the experimenter selects time frames beforehand to avoid experimenter bias, but even when methods are used to improve validity, inferences may be weakened. Currently, there
1290-467: The comparative effect of two treatments. Two treatments are alternated in rapid succession and correlated changes are plotted on a graph to facilitate comparison. Multi-element designs are typically used in Single-subject research to accurately test multiple independent variables at once. The multiple baseline design was first reported in 1960 as used in basic operant research. It was applied in
1333-460: The conclusion is necessarily true, too. Now we turn to an invalid form. To show that this form is invalid, we demonstrate how it can lead from true premises to a false conclusion. A valid argument with a false premise may lead to a false conclusion, (this and the following examples do not follow the Greek syllogism): When a valid argument is used to derive a false conclusion from a false premise,
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1376-513: The corresponding article for further examples. Recently automatic reasoners found in semantic web a new field of application. Being based upon description logic , knowledge expressed using one variant of OWL can be logically processed, i.e., inferences can be made upon it. Philosophers and scientists who follow the Bayesian framework for inference use the mathematical rules of probability to find this best explanation. The Bayesian view has
1419-529: The inference is valid because it follows the form of a correct inference. A valid argument can also be used to derive a true conclusion from a false premise: In this case we have one false premise and one true premise where a true conclusion has been inferred. Evidence: It is the early 1950s and you are an American stationed in the Soviet Union . You read in the Moscow newspaper that a soccer team from
1462-479: The late 1960s to human experiments in response to practical and ethical issues that arose in withdrawing apparently successful treatments from human subjects. In it two or more (often three) behaviors, people or settings are plotted in a staggered graph where a change is made to one, but not the other two, and then to the second, but not the third behavior, person or setting. Differential changes that occur to each behavior, person or in each setting help to strengthen what
1505-503: The limits of experimental control or randomized control that the experimenter has over the trait. This is because a control group may necessarily be selected from a discrete separate population. This research design is thus considered a quasi-experimental design . Multiple baseline studies are often categorized as either concurrent or nonconcurrent. Concurrent designs are the traditional approach to multiple baseline studies, where baseline measurements of all participants start at (roughly)
1548-402: The most good—such as on high-value weapons programs. It is an anomaly for a small city to field such a good team. The anomaly indirectly described a condition by which the observer inferred a new meaningful pattern—that the small city was no longer small. Why would you put a large city of your best and brightest in the middle of nowhere? To hide them, of course. An incorrect inference is known as
1591-415: The presence of uncertainty. This generalizes deterministic reasoning, with the absence of uncertainty as a special case. Statistical inference uses quantitative or qualitative ( categorical ) data which may be subject to random variations. The process by which a conclusion is inferred from multiple observations is called inductive reasoning . The conclusion may be correct or incorrect, or correct to within
1634-499: The research question and are used to make group research run better. The combined design has arisen from a need to obtain answers to more complex research questions. Combining two or more single-case designs, such as A-B-A-B and multiple baseline, may produce such answers. Popular in Verbal Behavior research, the multipleprobe research design has elements of the other research designs. In a changing-criterion research design
1677-503: The same moment in real time. This strategy is advantageous because it moderates several threats to validity , and history effects in particular. Concurrent multiple baseline designs are also useful for saving time, since all participants are processed at once. The ability to retrieve complete data sets within well defined time constraints is a valuable asset while planning research. Nonconcurrent multiple baseline studies apply treatment to several individuals at delayed intervals. This has
1720-466: The term 'inference' has also been applied to the process of generating predictions from trained neural networks . In this context, an 'inference engine' refers to the system or hardware performing these operations. This type of inference is widely used in applications ranging from image recognition to natural language processing . Prolog (for "Programming in Logic") is a programming language based on
1763-573: The treatment is self-sustaining and highly beneficial and/or related to health. Control condition participants may also deserve the benefits of research once all data has been collected. It is a researcher's ethical duty to maximize benefits and to ensure that all participants have access to those benefits when possible. The A-B-C design is a variant that allows for the extension of research questions around component, parametric and comparative questions. Multi-element designs sometimes referred to as alternating-treatment designs are used in order to ascertain
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1806-400: The word "valid" does not refer to the truth of the premises or the conclusion, but rather to the form of the inference. An inference can be valid even if the parts are false, and can be invalid even if some parts are true. But a valid form with true premises will always have a true conclusion. For example, consider the form of the following symbological track: If the premises are true, then
1849-433: Was typically short because of the weather. Explanation: In a command economy , people and material are moved where they are needed. Large cities might field good teams due to the greater availability of high quality players; and teams that can practice longer (possibly due to sunnier weather and better facilities) can reasonably be expected to be better. In addition, you put your best and brightest in places where they can do
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