| | • | Teacher interview summary: Nigel is very bright and has no problems academically. He does not initiate contact with peers and, when they initiate contact with him, he curses, yells, spits, and shoves chairs at them. | • | Student interview summary: I just like being by myself. | • | Parent interview summary: Nigel doesn’t like playing with other kids after school. He prefers solitary activities. | • | Ranking on teacher behavior rating scales: “Avoidance” ranked moderately high. | • | A-B-C analysis: Function of behaviors #2, 3, 7, and 8* appears to be peer avoidance. | • | Direct observation: During independent and group work, Nigel spends 85% of his time alone and not participating (average of 3 observations). | • | A-B-C analysis: Function of behaviors #1 and 5* appears to be to obtain “quiet time”; Nigel gets sent to the corner, where he is able to read a book of his choice. | • | Direct observation: Nigel had an average of 5 yelling incidents and 2 spitting incidents during three, 20-minute group activities. | • | Teacher interview summary: I let Nigel read a book when he’s upset. It seems to calm him down. | - Look at the graph below. The objective of the function-based intervention was to reduce the instances of Nigel’s problem behaviors (i.e., cursing, making derogatory comments toward other students, yelling, spitting, shoving chairs) during a twenty-minute small-group activity. Is the intervention successful? If you were the teacher, would you keep, modify, or discontinue the intervention? Explain your answers.
Description Nigel’s Data: This line plot graph shows Nigel’s Data. The x-axis is labeled “Observations”; observations 1 through 7 are labeled on the axis. The y-axis is labeled “Instances of Aggression”; 0 to 25 is labeled in 5-number intervals. The graph is divided into two columns, after the 3 rd observation. The left column of the graph is labeled “baseline” and the right column of the graph is labeled “intervention.” The first graph of the baseline column is red and labeled “Problem behavior (aggression)” in the key to the right of the graph. This graph has three plot points corresponding with the three observations. The points are at 10, 8, and 9. The second graph of the baseline column is yellow and is labeled “Replacement (appropriate interactions).” This graph has three plot points corresponding with the three observations. The points are 1, 4, and 3. The first graph of the intervention column is red and labeled “Problem behavior (aggressive)” in the key to the right of the graph. This graph has four plot points corresponding with the four observations. The points are at 14, 17, 16, and 20. The second graph of the intervention column is yellow and labeled “Replacement (appropriate interactions).” This graph has four plot points corresponding with the four observations. The points are at 2, 1, 1, and 0. - Discuss why it is important to evaluate implementation fidelity. Be sure to explain the role of social validity ratings.
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Functional Behavior Assessment- Overview of Functional Behavior Assessment
- Step 1 Planning
- Step 2.1 Collect baseline data using direct and indirect assessment methods
- Step 2.2 Gather observation-based data on the occurrence of the interfering behavior
- Step 2.3a Identify variables of the behavior
- Step 2.3b Create a hypothesis statement for the purpose of the behavior
Step 2.3c Test the hypothesis (behavior) statement- Step 2.4 Develop a behavior intervention plan (BIP)
- Practice Scenarios: Implementing FBA
- Knowledge Check
- Step 3 Monitoring Progress
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Test the hypothesis statement to ensure it is correctOnce a hypothesis statement, or best guess, has been developed, the next step involves testing our guess of the purpose of the behaviors to ensure that it is correct, as long as there is no risk of injury or damage. If the behavior involves risk of injury or damage, then proceed to Step 6. In this step, caregivers or service providers test the hypothesis by modifying the setting/activity to increase the probability that the behavior occurs. To test the example hypothesis statement above, the mom could alternate between asking him to clean up his toys and to wash his hands. In addition, the mom would need to change how she responds to the behaviors. Rather than taking him to his room and rocking him, the mom might ask him to clean up before being rocked. If changing the tasks and consequences result in an increase in the interfering behavior (because Tino is no longer getting what he wants, which is to avoid cleaning up his toys and getting attention from mom), then the hypothesis is most likely correct . However, if Tino continues to have tantrums in both situations, the team would need to re-examine the hypothesis. Tino’s behavior function might be avoiding transition to another activity. This project is a program of the Frank Porter Graham Child Development Institute at University of North Carolina at Chapel Hill . - Bipolar Disorder
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How to Write a Great HypothesisHypothesis Definition, Format, Examples, and Tips Verywell / Alex Dos Diaz Hypothesis FormatFalsifiability of a hypothesis. Hypothesis TypesHypotheses examples. A hypothesis is a tentative statement about the relationship between two or more variables. It is a specific, testable prediction about what you expect to happen in a study. It is a preliminary answer to your question that helps guide the research process. Consider a study designed to examine the relationship between sleep deprivation and test performance. The hypothesis might be: "This study is designed to assess the hypothesis that sleep-deprived people will perform worse on a test than individuals who are not sleep-deprived." At a GlanceA hypothesis is crucial to scientific research because it offers a clear direction for what the researchers are looking to find. This allows them to design experiments to test their predictions and add to our scientific knowledge about the world. This article explores how a hypothesis is used in psychology research, how to write a good hypothesis, and the different types of hypotheses you might use. The Hypothesis in the Scientific MethodIn the scientific method , whether it involves research in psychology, biology, or some other area, a hypothesis represents what the researchers think will happen in an experiment. The scientific method involves the following steps: - Forming a question
- Performing background research
- Creating a hypothesis
- Designing an experiment
- Collecting data
- Analyzing the results
- Drawing conclusions
- Communicating the results
The hypothesis is a prediction, but it involves more than a guess. Most of the time, the hypothesis begins with a question which is then explored through background research. At this point, researchers then begin to develop a testable hypothesis. Unless you are creating an exploratory study, your hypothesis should always explain what you expect to happen. In a study exploring the effects of a particular drug, the hypothesis might be that researchers expect the drug to have some type of effect on the symptoms of a specific illness. In psychology, the hypothesis might focus on how a certain aspect of the environment might influence a particular behavior. Remember, a hypothesis does not have to be correct. While the hypothesis predicts what the researchers expect to see, the goal of the research is to determine whether this guess is right or wrong. When conducting an experiment, researchers might explore numerous factors to determine which ones might contribute to the ultimate outcome. In many cases, researchers may find that the results of an experiment do not support the original hypothesis. When writing up these results, the researchers might suggest other options that should be explored in future studies. In many cases, researchers might draw a hypothesis from a specific theory or build on previous research. For example, prior research has shown that stress can impact the immune system. So a researcher might hypothesize: "People with high-stress levels will be more likely to contract a common cold after being exposed to the virus than people who have low-stress levels." In other instances, researchers might look at commonly held beliefs or folk wisdom. "Birds of a feather flock together" is one example of folk adage that a psychologist might try to investigate. The researcher might pose a specific hypothesis that "People tend to select romantic partners who are similar to them in interests and educational level." Elements of a Good HypothesisSo how do you write a good hypothesis? When trying to come up with a hypothesis for your research or experiments, ask yourself the following questions: - Is your hypothesis based on your research on a topic?
- Can your hypothesis be tested?
- Does your hypothesis include independent and dependent variables?
Before you come up with a specific hypothesis, spend some time doing background research. Once you have completed a literature review, start thinking about potential questions you still have. Pay attention to the discussion section in the journal articles you read . Many authors will suggest questions that still need to be explored. How to Formulate a Good HypothesisTo form a hypothesis, you should take these steps: - Collect as many observations about a topic or problem as you can.
- Evaluate these observations and look for possible causes of the problem.
- Create a list of possible explanations that you might want to explore.
- After you have developed some possible hypotheses, think of ways that you could confirm or disprove each hypothesis through experimentation. This is known as falsifiability.
In the scientific method , falsifiability is an important part of any valid hypothesis. In order to test a claim scientifically, it must be possible that the claim could be proven false. Students sometimes confuse the idea of falsifiability with the idea that it means that something is false, which is not the case. What falsifiability means is that if something was false, then it is possible to demonstrate that it is false. One of the hallmarks of pseudoscience is that it makes claims that cannot be refuted or proven false. The Importance of Operational DefinitionsA variable is a factor or element that can be changed and manipulated in ways that are observable and measurable. However, the researcher must also define how the variable will be manipulated and measured in the study. Operational definitions are specific definitions for all relevant factors in a study. This process helps make vague or ambiguous concepts detailed and measurable. For example, a researcher might operationally define the variable " test anxiety " as the results of a self-report measure of anxiety experienced during an exam. A "study habits" variable might be defined by the amount of studying that actually occurs as measured by time. These precise descriptions are important because many things can be measured in various ways. Clearly defining these variables and how they are measured helps ensure that other researchers can replicate your results. ReplicabilityOne of the basic principles of any type of scientific research is that the results must be replicable. Replication means repeating an experiment in the same way to produce the same results. By clearly detailing the specifics of how the variables were measured and manipulated, other researchers can better understand the results and repeat the study if needed. Some variables are more difficult than others to define. For example, how would you operationally define a variable such as aggression ? For obvious ethical reasons, researchers cannot create a situation in which a person behaves aggressively toward others. To measure this variable, the researcher must devise a measurement that assesses aggressive behavior without harming others. The researcher might utilize a simulated task to measure aggressiveness in this situation. Hypothesis Checklist- Does your hypothesis focus on something that you can actually test?
- Does your hypothesis include both an independent and dependent variable?
- Can you manipulate the variables?
- Can your hypothesis be tested without violating ethical standards?
The hypothesis you use will depend on what you are investigating and hoping to find. Some of the main types of hypotheses that you might use include: - Simple hypothesis : This type of hypothesis suggests there is a relationship between one independent variable and one dependent variable.
- Complex hypothesis : This type suggests a relationship between three or more variables, such as two independent and dependent variables.
- Null hypothesis : This hypothesis suggests no relationship exists between two or more variables.
- Alternative hypothesis : This hypothesis states the opposite of the null hypothesis.
- Statistical hypothesis : This hypothesis uses statistical analysis to evaluate a representative population sample and then generalizes the findings to the larger group.
- Logical hypothesis : This hypothesis assumes a relationship between variables without collecting data or evidence.
A hypothesis often follows a basic format of "If {this happens} then {this will happen}." One way to structure your hypothesis is to describe what will happen to the dependent variable if you change the independent variable . The basic format might be: "If {these changes are made to a certain independent variable}, then we will observe {a change in a specific dependent variable}." A few examples of simple hypotheses:- "Students who eat breakfast will perform better on a math exam than students who do not eat breakfast."
- "Students who experience test anxiety before an English exam will get lower scores than students who do not experience test anxiety."
- "Motorists who talk on the phone while driving will be more likely to make errors on a driving course than those who do not talk on the phone."
- "Children who receive a new reading intervention will have higher reading scores than students who do not receive the intervention."
Examples of a complex hypothesis include:- "People with high-sugar diets and sedentary activity levels are more likely to develop depression."
- "Younger people who are regularly exposed to green, outdoor areas have better subjective well-being than older adults who have limited exposure to green spaces."
Examples of a null hypothesis include:- "There is no difference in anxiety levels between people who take St. John's wort supplements and those who do not."
- "There is no difference in scores on a memory recall task between children and adults."
- "There is no difference in aggression levels between children who play first-person shooter games and those who do not."
Examples of an alternative hypothesis:- "People who take St. John's wort supplements will have less anxiety than those who do not."
- "Adults will perform better on a memory task than children."
- "Children who play first-person shooter games will show higher levels of aggression than children who do not."
Collecting Data on Your HypothesisOnce a researcher has formed a testable hypothesis, the next step is to select a research design and start collecting data. The research method depends largely on exactly what they are studying. There are two basic types of research methods: descriptive research and experimental research. Descriptive Research MethodsDescriptive research such as case studies , naturalistic observations , and surveys are often used when conducting an experiment is difficult or impossible. These methods are best used to describe different aspects of a behavior or psychological phenomenon. Once a researcher has collected data using descriptive methods, a correlational study can examine how the variables are related. This research method might be used to investigate a hypothesis that is difficult to test experimentally. Experimental Research MethodsExperimental methods are used to demonstrate causal relationships between variables. In an experiment, the researcher systematically manipulates a variable of interest (known as the independent variable) and measures the effect on another variable (known as the dependent variable). Unlike correlational studies, which can only be used to determine if there is a relationship between two variables, experimental methods can be used to determine the actual nature of the relationship—whether changes in one variable actually cause another to change. The hypothesis is a critical part of any scientific exploration. It represents what researchers expect to find in a study or experiment. In situations where the hypothesis is unsupported by the research, the research still has value. Such research helps us better understand how different aspects of the natural world relate to one another. It also helps us develop new hypotheses that can then be tested in the future. Thompson WH, Skau S. On the scope of scientific hypotheses . R Soc Open Sci . 2023;10(8):230607. doi:10.1098/rsos.230607 Taran S, Adhikari NKJ, Fan E. Falsifiability in medicine: what clinicians can learn from Karl Popper [published correction appears in Intensive Care Med. 2021 Jun 17;:]. Intensive Care Med . 2021;47(9):1054-1056. doi:10.1007/s00134-021-06432-z Eyler AA. Research Methods for Public Health . 1st ed. Springer Publishing Company; 2020. doi:10.1891/9780826182067.0004 Nosek BA, Errington TM. What is replication ? PLoS Biol . 2020;18(3):e3000691. doi:10.1371/journal.pbio.3000691 Aggarwal R, Ranganathan P. Study designs: Part 2 - Descriptive studies . Perspect Clin Res . 2019;10(1):34-36. doi:10.4103/picr.PICR_154_18 Nevid J. Psychology: Concepts and Applications. Wadworth, 2013. By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book." Special Educator AcademyFree resources, developing hypotheses about the function of challenging behavior: step 3 with a freebie. Sharing is caring! To see the other posts in this series click HERE . So, we’ve defined the behavior , prioritized which to address first , reviewed records and interviewed , and taken ABC data and summarized it . Now, what do we do with all of that information? We need to develop our best guess, or hypothesis, about the function of the behavior. So, how do we do that? I have a freebie and some guidelines to help with that. Based on your summary of the data, you should have some ideas of when and where the behaviors are occurring. You should have some ideas about what commonly precedes the behavior and what commonly happens after it occurs. Based on that information, you can begin to form a hypothesis about why the behavior occurs. If you take that information and complete the graphic organizer above, you can turn that into the hypothesis. Essentially, you want to take the information and complete the following sentences: When presented with [situation], the student [behavior]. When this happens, [consequence]. So, let’s look at some examples. Knowing what comes before the behavior in many situations, allows us to know what we might need to restructure or change to prevent the problem. Knowing what happens after the behavior let’s us know what might be reinforcing it. Knowing that information let’s us know two things. First, it tells us what may be the function of the behavior. For instance, in the example above, Jimmy’s behavior gets him the turn on the computer–or at least that’s what happens. So his behavior probably functions to gain a tangible item or activity. So that tells us that we may want to teach him to ask for the computer or to ask for another turn to replace the behavior (more about that process later). The second thing that knowing the common response to the behavior tells us is whether we need to change that consequence. So in this case, we probably want to avoid giving him a turn on the computer when he is tantrumming in order to stop reinforcing the negative behavior. As you can see in the above, I find it useful to write it out in the pieces above and then summarize it with a final hypothesis statement below. To help with that process, I have a little freebie for you of a graphic organizer to write out hypotheses statements. I’ve made a black and white version and a color version just because sometimes you need a little jazzing up to keep you focused when dealing with challenging behavior. Or as a friend of mine likes to say, the pretty committee sometimes makes things seem better. You can download the freebie by clicking on the picture below. And here’s a few more examples of hypothesis statements about different functions that might be helpful. Next time, I will talk about some guidelines about writing and verifying hypotheses. I’ll talk some more about the fact that you usually will have more than one hypothesis for the behaviors. The strength of a behavior support plan often rests on the accuracy and usefulness of the hypotheses, so writing good ones is important. Until next time, - Read more about: Behavior Support
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Escape/Avoidance: Seeking Relief from DemandsAttention-seeking: craving social interaction, access to tangible items: obtaining desired objects, automatic reinforcement: internal satisfaction, functional assessment and intervention: a holistic approach. - Functional Assessment:
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Thermoelectric and Optoelectronic Properties of Rb 2 LiMoX 6 (X = Br, I) Ferromagnets Using Density Functional Theory- Published: 03 September 2024
Cite this article- Qiong Peng 1 ,
- Aftab Farrukh 2 ,
- Muhammad Sajid 3 ,
- Jahangir Abbas 4 ,
- Nasarullah 4 ,
- Aboud Ahmed Awadh Bahajjaj 5 ,
- Mubashir Nazar 4 &
- Javed Rehman 6 , 7
The present study employs DFT to simulate the geometrical, magnetic, optoelectronic, and thermoelectric characteristics of Rb 2 LiMoX 6 (X = Br, I) in the WIEN2K program implementing FP-LAPW method. The tolerance factor (τ) and formation enthalpy (ΔH f ) are estimated to verify the thermodynamic and structural stability of the Rb 2 LiMoX 6 (X = Br, I) compounds. The values of τ are 0.91 and 0.89 for Rb 2 LiMoBr 6 and Rb 2 LiMoI 6 , respectively. The anticipated spin-dependent band structure (BS) and density of states (DOS) exhibit p-type semiconductor behavior with a direct band gap at the X-X symmetry sites in both spin configurations. For Rb 2 LiMoBr 6 , the values are 2.37 eV in the spin-up and 3.54 eV in the spin-down. Similarly, for Rb 2 LiMoI 6 , the direct E g is 1.30 eV in the spin-up and 1.72 eV in the spin-down. The ferromagnetic (FM) nature of Rb 2 LiMoBr 6 and K 2 LiMoI 6 was confirmed based on their respective total magnetic moment (µ B ) of 3.00 µ B for both halides. The materials exhibited light absorbance within the visible to ultraviolet (UV) range, increasing their importance for photocell and optoelectronic devices. Furthermore, the ZT spectrum reveals that Rb 2 LiMoI 6 reaches a peak value of 0.72 at 700 K, while Rb 2 LiMoBr 6 achieves a slightly higher peak of 0.74 at 800 K. making them highly intriguing contenders for efficient heat energy conversion systems. The results of the examined compounds offer a novel avenue for researchers to explore the potential uses of spintronic and optical devices. This is a preview of subscription content, log in via an institution to check access. Access this articleSubscribe and save. - Get 10 units per month
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Price includes VAT (Russian Federation) Instant access to the full article PDF. Rent this article via DeepDyve Institutional subscriptions Similar content being viewed by othersScrutinized the inherent spin half-metallicity and thermoelectric response of f -electron-based RbMO 3 (M = Np, Pu) perovskites: a computational assessmentFirst-Principles Predictions on Half-Metallic Results of RBaMn 2 O 6-δ (R = Nd, Pr, La and δ = 0, 1) Double Perovskite CompoundsHalf Metallic Ferromagnetism, Mechanical, Thermodynamic, and Thermoelectric Properties of Vacancy Ordered Double Perovskites Rb 2 (V/Cr)Cl 6 for SpintronicsExplore related subjects, data availability. No datasets were generated or analysed during the current study. X. Zhang, Y. Tang, F. Zhang, C Lee. A novel aluminum-graphite dual-ion battery. Adv. Energy Mater. 6 (11), 1502588 (2016). https://doi.org/10.1002/aenm.201502588 Article CAS Google Scholar M. Wang, C. Jiang, S. Zhang, X. Song, Y. Tang,... Cheng, H. Reversible calcium alloying enables a practical room-temperature rechargeable calcium-ion battery with a high discharge voltage. Nat. Chem. 10 (6), 667–672 (2018). https://doi.org/10.1038/s41557-018-0045-4 Article PubMed PubMed Central Google Scholar C. Chen, C. Lee, Y. Tang. Fundamental understanding and optimization strategies for dual-ion batteries: a review. Nano-Micro Lett. 15 (1), 121 (2023). https://doi.org/10.1007/s40820-023-01086-6 G. Yongxin, P. Ying, D. Mengyao, Z. Xiangning, T. Daqing, The Al2XS4 (X = cd, zn and hg) for promising photocatalytic performance: first-principles investigations. Chem. Phys. Lett. 829 , 140768 (2023) Article Google Scholar M.Y. Sofi, M.S. Khan, J. Ali, M.A. Khan, Exploring the lead-free halide Cs2MGaBr6 (M = Li, na) double perovskites for sustainable energy applications. Sci. Rep. 14 , 5520 (2024) Article CAS PubMed PubMed Central Google Scholar X. Li, S. Aftab, H. Liu, D. Vikraman, S. Hussain, A. Al-Kahtani ,... Akman, E. Enhancing electron transport through metal oxide adjustments in perovskite solar cells and their suitability for X-ray detection. J. Mater. Chem. A. (2024). https://doi.org/10.1039/D4TA03785E X.-G. Zhao, D. Yang, J.-C. Ren, Y. Sun, Z. Xiao, L. Zhang, Rational design of halide double perovskites for optoelectronic applications. Joule. 2 , 1662–1673 (2018) F. Igbari, Z. Wang, L. Liao, Progress of lead-free halide double perovskites. Adv. Energy Mater. 9 , 1803150 (2019) F. Aslam, H. Ullah, M. Hassan, Theoretical investigation of Cs2InBiX6 (X = cl, br, I) double perovskite halides using first-principle calculations. Mater. Sci. Engineering: B 274 , 115456 (2021) D. Han, T. Zhang, M. Huang, D. Sun, M.-H. Du, S. Chen, Predicting the thermodynamic stability of double-perovskite halides from density functional theory. APL Mater. 6 (2018) N.H. Alotaibi, G.M. Mustafa, N.A. Kattan, Q. Mahmood, H. Albalawi, M. Morsi, H.H. Somaily, M.A. Hafez, H.I. Mahmoud, M.A. Amin, DFT study of double perovskites Cs2AgBiX6 (X = cl, br): an alternative of hybrid perovskites. J. Solid State Chem. 313 , 123353 (2022) A.M. Mebed, S. Al-Qaisi, M.A. Ali, Study of optoelectronic and thermoelectric properties of double perovskites Rb2AgBiX6 (X = br, I): by DFT approach. Eur. Phys. J. Plus. 137 , 1–8 (2022) N.A. Noor, M.W. Iqbal, T. Zelai, A. Mahmood, H.M. Shaikh, S.M. Ramay, W. Al-Masry, Analysis of direct band gap A2ScInI6 (A = rb, Cs) double perovskite halides using DFT approach for renewable energy devices. J. Mater. Res. Technol. 13 , 2491–2500 (2021) K. Mopoung, A. Dávid, X. Liu, M. Fahlman, I.A. Buyanova, W.M. Chen, Y. Puttisong, Spin centers in Vanadium-Doped Cs2NaInCl6 Halide double perovskites. ACS Mater. Lett. 6 , 566–571 (2024) Y. Liu, J. Zhou, Y. Guan, Y. Xiao, H. Dong, F. Wu, L. Huang, Atomic insights into the optoelectronic properties of vacancy-ordered double perovskite halide semiconductors. Appl. Phys. Lett. 124 (2024) P. Liu, Y. Sun, A.J. Fernández-Carrión, B. Zhang, H. Fu, L. He, X. Ming, C. Yin, X. Kuang, Bismuth-based halide double perovskite Cs2KBiCl6: disorder and luminescence. Chin. Chem. Lett. 35 , 108641 (2024) K. Mopoung, W. Ning, M. Zhang, F. Ji, K. Mukhuti, H. Engelkamp, P.C.M. Christianen, U. Singh, J. Klarbring, S.I. Simak, Understanding antiferromagnetic coupling in lead-free Halide double Perovskite Semiconductors. J. Phys. Chem. C (2024) S.M.H. Qaid, Q. ul Ain, H.M. Ghaithan, I. Mursaleen, A.A.A. Ahmed, J. Munir, First-principles investigations on the structural, optoelectronic, mechanical and transport properties of new stable lead-free double perovskites Cs2BB′ I6 (B = Ag/Rb, B′= Bi/Ga) halides. Mater. Sci. Engineering: B 301 , 117176 (2024) G.M. Mustafa, S. Saba, N.A. Noor, K. Ghaffoor, Y.M. Alanazi, S. Mumtaz, Pr ep ot pe er r Pr ep rin t n ot pe er ed, 6 (n.d.) M. Boudjelal, M. Batouche, T. Seddik, T. Antri, N. Badi, S. Bentata, A. Belfedal, B. Bouadjemi, R. Khenata, A. Bouhemadou, Bin Omran, Structural, magnetic, and optoelectronic properties of new ferromagnetic semiconductors Cd0.75Os0.25S and Cd0.75Ir0.25S: insight from DFT computations. Opt. Quantum Electron. 54 , 716 (2022). https://doi.org/10.1007/s11082-022-04073-0 K. Bouhadjer, M. Boudjelal, M. Matougui, S. Bentata, T. Lantri, M. Batouche, T. Seddik, R. Khenata, B. Bouadjemi, S. Bin Omran, M.W. Iqbal, M. Manzoor, Structural, optoelectronic, thermodynamic and thermoelectric properties of double half Heusler (DHH) Ti2FeNiSb2 and Ti2Ni2InSb compounds: a TB-mBJ study. Chin. J. Phys. 85 , 508–523 (2023). https://doi.org/10.1016/j.cjph.2023.07.025 K. Schwarz, P. Blaha, G.K.H. Madsen, Electronic structure calculations of solids using the WIEN2k package for material sciences. Comput. Phys. Commun. 147 , 71–76 (2002). https://doi.org/10.1016/S0010-4655(02)00206-0 S.M.H. Qaid, M. Jamil, J. Munir, H.M. Ghaithan, A. Ahmed, A. Ahmed, Q. Ain, A computational insight into rb 2 ASbX 6 (A = tl, Cu & X = I, cl) double perovskites for energy storage and optoelectronic applications, 98 (2023) 1–12. https://doi.org/10.1088/1402-4896/acf3a9 Q. Mahmood, T. Ghrib, A. Rached, A. Laref, M.A. Kamran, Materials Science in Semiconductor Processing probing of mechanical, optical and thermoelectric characteristics of double perovskites cs 2 GeCl / br 6 by DFT method. Mater. Sci. Semicond. Process. 112 , 105009 (2020). https://doi.org/10.1016/j.mssp.2020.105009 M. Yaseen, H. Ambreen, J. Iqbal, A. Shahzad, R. Zahid, N.A. Kattan, S.M. Ramay, A. Mahmood, Electronic, optical and magnetic properties of PrXO3(X = V, cr): first-principle calculations. Phil. Mag. 100 , 3125–3140 (2020). https://doi.org/10.1080/14786435.2020.1812748 M. Nazar, S.A. Nasarullah, M. Aldaghfag, M. Yaseen, M.K. Waqas, I. Butt, Boukhris, Electronic, Structural, Optical, and magnetic characteristics A2MgS4 of (A = Dy, Er) Spinel sulfides: a density functional theory study. Phys. Status Solidi B Basic. Res. 2300003 , 1–8 (2023). https://doi.org/10.1002/pssb.202300003 F. Tielens, M. Calatayud, R. Franco, J.M. Recio, C. Pérez-Ramírez, Minot, Periodic DFT study of the structural and electronic properties of bulk CoAl2O4 spinel. J. Phys. Chem. B 110 , 988–995 (2006). https://doi.org/10.1021/jp053375l Article CAS PubMed Google Scholar Q. Mahmood, M.H. Alhossainy, M.S. Rashid, T.H. Flemban, H. Althib, T. Alshahrani, M. Rashid, A. Laref, First-principles study of lead-free double perovskites Rb2TeX6 (X = cl, br, and I) for solar cells and renewable energy. Mater. Sci. Eng. B Solid State Mater. Adv. Technol. 266 , 115064 (2021). https://doi.org/10.1016/j.mseb.2021.115064 H. Hayashi, H. Inaba, M. Matsuyama, N.G. Lan, M. Dokiya, H. Tagawa, Structural consideration on the ionic conductivity of perovskite-type oxides. Solid State Ion. 122 , 1–15 (1999). https://doi.org/10.1016/S0167-2738(99)00066-1 G. Volonakis, A.A. Haghighirad, R.L. Milot, W.H. Sio, M.R. Filip, B. Wenger, M.B. Johnston, L.M. Herz, H.J. Snaith, F. Giustino, Cs2InAgCl6: a new lead-free Halide double perovskite with direct Band gap. J. Phys. Chem. Lett. 8 , 772–778 (2017). https://doi.org/10.1021/acs.jpclett.6b02682 C. Li, X. Lu, W. Ding, L. Feng, Y. Gao, Z. Guo, Formability of ABX 3 (X = F, cl, br, I) halide perovskites. Acta Crystallogr. B 64 , 702–707 (2008). https://doi.org/10.1107/S0108768108032734 C. Li, K.C.K. Soh, P. Wu, Formability of ABO3 perovskites. J. Alloys Compd. 372 , 40–48 (2004). https://doi.org/10.1016/j.jallcom.2003.10.017 M.Z. Kazim, M. Yaseen, A. Ghaffar, I.B. Ahmad, Physical properties of Ba 2 XIO 6 (X for Energy Harvesting Devices Ag, na) double Perovskite Oxides. Arab. J. Sci. Eng. 6 (2022). https://doi.org/10.1007/s13369-022-06985-1 Y. Xinyu, L. Anmin, Z. Yue, H. Qianji, K. Takeshi, M. Tingli, DFT study of X-site ion substitution doping of Cs2PtX6onits structural and electronic properties. Int. J. Energy Res. (2022) 1–9 A.R. Chaudhry, A first-principles study of optoelectronic properties of Y2MS4 (M = zn, mg and be): direct bandgap ternary sulfides. Optik (Stuttg). 259 , 168944 (2022). https://doi.org/10.1016/j.ijleo.2022.168944 A. Aziz, I. Arshad, S.A. Aldaghfag, M. Yaseen, J. Iqbal, M. Ishfaq, M. Khalid Butt, S. Noreen, H.H. Hegazy, Physical properties of Sr2MWO6 (M = ca, mg) for renewable energy applications. Phys. Status Solidi B Basic. Res. 259 , 1–9 (2022). https://doi.org/10.1002/pssb.202200074 T. Alshahrani, Q. Mahmood, M. Rashid, The role of 5d electrons spin in quantum ferromagnetism and transport properties of double perovskites Cs2ZCl/Br6 (Z = Ta, W) for spintronic applications. Eur. Phys. J. Plus. 136 (2021). https://doi.org/10.1140/epjp/s13360-021-01286-2 X. Xu, Y. Dong, Q. Hu, N. Si, C. Zhang. Electrochemical hydrogen storage materials: state-of-the-art and future perspectives. Energy Fuels. 38 (9), 7579–7613 (2024). https://doi.org/10.1021/acs.energyfuels.3c05138 A. Bouhemadou, K. Haddadi, R. Khenata, D. Rached, S. Bin-Omran, Structural, elastic and thermodynamic properties under pressure and temperature effects of MgIn 2S 4 and CdIn 2S 4. Phys. B Condens. Matter. 407 , 2295–2300 (2012). https://doi.org/10.1016/j.physb.2012.03.017 M. Boudjelal, M. Batouche, T. Seddik, K. Bouhadjer, S. Bentata, R. Khenata, A. Belfedal, N. Badi, S. Bin-Omran, Electronic, elastic, and thermodynamic properties of Cd0.75TM0.25S (TM = os or ir) alloys with the TB-mBJ approach and hybrid density functional (HSE06). Indian J. Phys. (2023). https://doi.org/10.1007/s12648-023-02875-w H.A. Alburaih, Probing of Ferromagnetism and Electronic transport characteristics of Rare-earth-based CdEr2X4 (X = S, Se) Spinels for Spintronic and Energy Harvesting Applications. J. Alloys Compd. 876 , 159806 (2021). https://doi.org/10.1016/j.jallcom.2021.159806 J. Sun, L Wang, J Li, F Li, Y Fang. An on-line imaging sensor based on magnetic deposition and flowing dispersion for wear debris feature monitoring. Mech. Syst. Signal Process. 212 , 111321 (2024). https://doi.org/10.1016/j.ymssp.2024.111321 S. Al-Qaisi, D.P. Rai, T. Alshahrani, R. Ahmed, B.U. Haq, S.A. Tahir, M. Khuili, Q. Mahmood, Structural, elastic, thermodynamic, electronic, optical and thermoelectric properties of MgLu2X4 (X = S, Se) spinel compounds from ab-initio calculations. Mater. Sci. Semicond. Process. 128 , 105766 (2021). https://doi.org/10.1016/j.mssp.2021.105766 M. Manzoor, M.W. Iqbal, M. Imran, N.A. Noor, A. Mahmood, Y.M. Alanazi, S. Aftab, Probing direct bandgap of double perovskites Rb2LiTlX6 (X = cl, br) and optoelectronic characteristics for solar cell applications: DFT calculations. J. Mater. Res. Technol. 18 , 4775–4785 (2022). https://doi.org/10.1016/J.JMRT.2022.04.073 T.S. Ahmad, N. Ehsan, M. Liaqat, S.M.S. Gilani, A. ul Haq, A.M. Quraishi, D. Abduvalieva, V. Tirth, A. Algahtani, R.M. Mohammed, N.M.A. Hadia, A. Mohammed Alsuhaibani, M.S. Refat, A. Zaman, Optoelectronic and thermoelectric analysis of halide stable double perovskite Rb2TlSbX6 (X = cl, br, I) via DFT calculations. Results Phys. 63 , 107885 (2024). https://doi.org/10.1016/j.rinp.2024.107885 A. Mahmood, S.M. Ramay, W. Al-Masry, A.A. Al-Zahrani, N.Y.A. Al-Garadi, Ab-initio computations of CaV2S4 and CaMn2S4 spinels for spintronics and energy storage system applications. J. Mater. Res. Technol. 9 , 14783–14791 (2020). https://doi.org/10.1016/j.jmrt.2020.10.073 Q. Mahmood, M. Rashid, N.A. Qurat-ul-Ain, M.G. Noor, S.M. Bahar Ashiq, A. Ramay, Mahmood, Opto-electronic and thermoelectric properties of MgIn 2 X 4 (X = S, Se) spinels via ab-initio calculations. J. Mol. Graph Model. 88 , 168–173 (2019). https://doi.org/10.1016/j.jmgm.2019.01.010 S.M. Hosseini, Structural, electronic and optical properties of spinel MgAl 2O4 oxide. Phys. Status Solidi B Basic. Res. 245 , 2800–2807 (2008). https://doi.org/10.1002/pssb.200844142 M.A. Rafiq, A. Javed, M.N. Rasul, M.A. Khan, A. Hussain, Understanding the structural, electronic, magnetic and optical properties of spinel MFe2O4 (M = Mn, Co, Ni) ferrites. Ceram. Int. 46 , 4976–4983 (2020). https://doi.org/10.1016/j.ceramint.2019.10.237 Q. Mahmood, M. Hassan, S.H.A. Ahmad, K.C. Bhamu, A. Mahmood, S.M. Ramay, Study of electronic, magnetic and thermoelectric properties of AV2O4 (A = zn, cd, hg) by using DFT approach. J. Phys. Chem. Solids. 128 , 283–290 (2019). https://doi.org/10.1016/j.jpcs.2017.08.007 A. Mahmood, S.M. Ramay, W. Al-Masry, C.W. Dunnill, N.Y.A. Al-Garadi, First-principle computations of ferromagnetic HgCr2Z4 (Z = S, Se) spinels for spintronic and energy storage system applications. J. Mater. Res. Technol. 9 , 16159–16166 (2020). https://doi.org/10.1016/j.jmrt.2020.11.063 A. Bouhemadou, D. Allali, K. Boudiaf, B. Al Qarni, S. Bin-Omran, R. Khenata, Y. Al-Douri, Electronic, optical, elastic, thermoelectric and thermodynamic properties of the spinel oxides ZnRh2O4 and CdRh2O4. J. Alloys Compd. 774 , 299–314 (2019). https://doi.org/10.1016/j.jallcom.2018.09.338 A.K. Kushwaha, S. Uğur, G. Akbudak, Uğur, Investigation of structural, elastic, electronic, optical and vibrational properties of silver chromate spinels: normal (CrAg2O4) and inverse (Ag2CrO4). J. Alloys Compd. 704 , 101–108 (2017). https://doi.org/10.1016/j.jallcom.2017.02.055 K.M. Wong, W. Khan, M. Shoaib, U. Shah, S.H. Khan, G. Murtaza, Ab Initio Investigation of the Structural, Electronic and Optical properties of the Li2In2XY6. J. Electron. Mater. 47 , 566–576 (2018). (X = Si, Ge; Y = S, Se) Compounds. https://doi.org/10.1007/s11664-017-5805-1 N. Yousaf, W. Khan, S.H. Khan, M. Yaseen, A. Laref, G. Murtaza, Electronic, optical and thermoelectric properties of SnGa2GeX6 (X = S, Se) compounds. J. Alloys Compd. 737 , 637–645 (2018). https://doi.org/10.1016/j.jallcom.2017.12.033 J.J. Melo Quintero, C.E. Rodríguez Torres, L.A. Errico, Ab initio calculation of structural, electronic and magnetic properties and hyperfine parameters at the Fe sites of pristine ZnFe2O4. J. Alloys Compd. 741 , 746–755 (2018). https://doi.org/10.1016/j.jallcom.2018.01.217 Y. Liu, J. Lian, Y. Shi, H. Song, K. Dai, The first-principles calculations of Mg2-xTi1 + xO4’s novel optical properties. J. Alloys Compd. 756 , 57–61 (2018). https://doi.org/10.1016/j.jallcom.2018.05.032 K. Dileep, B. Loukya, N. Pachauri, A. Gupta, R. Datta, Probing optical band gaps at the nanoscale in NiFe2O4 and CoFe2O4 epitaxial films by high resolution electron energy loss spectroscopy. J. Appl. Phys. 116 , 0–8 (2014). https://doi.org/10.1063/1.4895059 Y. Huang, W. Jie, G. Zha, Band gap, electronic and optical properties of Zn1-xCr xS: an ab initio study. J. Alloys Compd. 555 , 117–122 (2013). https://doi.org/10.1016/j.jallcom.2012.11.201 M.K. Butt, M. Yaseen, A. Ghaffar, M. Zahid, First Principle Insight into the Structural, Optoelectronic, Half Metallic, and Mechanical properties of Cubic Perovskite NdInO3. Arab. J. Sci. Eng. 45 , 4967–4974 (2020). https://doi.org/10.1007/s13369-020-04576-6 A.M. Asiri, M.K. Shahzad, S. Hussain, K. Zhu, S.B. Khan, K.A. Alamry, S.Y. Alfifi, H.M. Marwani, Analysis of XGaO3 (X = ba and cs) cubic based perovskite materials for photocatalytic water splitting applications: a DFT study. Heliyon. 9 (2023). https://doi.org/10.1016/j.heliyon.2023.e14112 M.Z. Kazim, M. Ishfaq, S.A. Aldaghfag, M. Yaseen, M. Zahid, M. Nazar, R. Neffati, Investigation of Ba2LnRuO6 (ln = nd, Er) for spin-optoelectronic and thermoelectric devices. J. Magn. Magn. Mater. 560 , 169657 (2022) M.K. Butt, M. Yaseen, I.A. Bhatti, J. Iqbal, A. Misbah, M. Murtaza, M. Iqbal mana, M.H. AL-Anazy, A. Alhossainy, Laref, A DFT study of structural, magnetic, elastic and optoelectronic properties of lanthanide based XAlO3 (X = Nd, Gd) compounds, Journal of Materials Research and Technology 9 (2020) 16488–16496. https://doi.org/10.1016/j.jmrt.2020.11.055 H. Yakhou, A. Maachou, H. Riane, M. Sahnoun, Theoretical investigation of electronic and thermoelectric properties of spinel sulfides A2BS4 (A = Sc and, Y. B = Cd, and Zn), Computational Condensed Matter 21 (2019) e00417. https://doi.org/10.1016/j.cocom.2019.e00417 L. Zeng, J. Zhang, L. You, H. Zheng, Y. Liu, L. Ouyang, P. Huang, J. Xing, J. Luo, Enhanced thermoelectric performance in PbSe-SrSe solid solution by Mn substitution. J. Alloys Compd. 687 , 765–772 (2016). https://doi.org/10.1016/j.jallcom.2016.06.172 M. Yaseen, M. Khalid, A. Ashfaq, Phase transition and thermoelectric properties of cubic KNbO 3 under pressure: DFT approach. J. Mater. Res. Technol. 11 , 2106–2113 (2021). https://doi.org/10.1016/j.jmrt.2021.02.017 S.A. Aldaghfag, A. Aziz, A. Younas, M. Yaseen, A. Murtaza, H.H. Hegazy, Investigation of electronic, optical and thermoelectric features of X2ScAgCl6 (X = K, na) double perovskites for renewable energy applications. J. Solid State Chem. 312 , 123179 (2022). https://doi.org/10.1016/j.jssc.2022.123179 A. Gilani, S.A. Nasarullah, M. Aldaghfag, Yaseen, Magnetic, optical, electronic, structural and thermoelectric features of A2MgS4 (A = sm, tb): a DFT study. J. Phys. Chem. Solids. 175 , 111208 (2023). https://doi.org/10.1016/j.jpcs.2022.111208 W. Tahir, G.M. Mustafa, N.A. Noor, S.M. Alay-e-abbas, Q. Mahmood, A. Laref, Analysis of optoelectronic and trasnport properties of magnesium based MgSc 2 X 4 (X = S, Se) spinels for solar cell and energy storage device applications. Ceram. Int. 46 , 26637–26645 (2020). https://doi.org/10.1016/j.ceramint.2020.07.133 F. Zareef, M. Rashid, A.A.H. Ahmadini, T. Alshahrani, N.A. Kattan, A. Laref, Optoelectronic and thermoelectrical and mechanical properties of CdLu2X4 (X = S, Se) using first-principles calculations for energy harvesting applications. Mater. Sci. Semicond. Process. 127 , 105695 (2021). https://doi.org/10.1016/j.mssp.2021.105695 S.M. Ramay, M. Hassan, Q. Mahmood, A. Mahmood, The study of electronic, magnetic, magneto-optical and thermoelectric properties of XCr2O4 (X = zn, cd) through modified Becke and Johnson potential scheme (mBJ). Curr. Appl. Phys. 17 , 1038–1045 (2017). https://doi.org/10.1016/j.cap.2017.04.011 M. Naseem, A. Aziz, S.A. Aldaghfag, M. Misbah, R. Yaseen, Neffati, A DFT investigation of Al2XS4 (X = hg, mg) for energy harvesting applications. J. Phys. Chem. Solids. 171 , 110982 (2022). https://doi.org/10.1016/j.jpcs.2022.110982 B. Ul Haq, R. Ahmed, S. AlFaify, F.K. Butt, A. Shaari, A. Laref, Exploring thermoelectric materials for renewable energy applications: the case of highly mismatched alloys based on AlBi1-xSbx and InBi1-xSbx. Intermetallics (Barking). 93 , 235–243 (2018). https://doi.org/10.1016/j.intermet.2017.09.017 S.A. Abbas, M. Rashid, M.A. Faridi, M.B. Saddique, A. Mahmood, S.M. Ramay, Systematic study of the elastic, optoelectronic, and thermoelectric behavior of MRh2O4 (M = zn, cd) based on first principles calculations. J. Phys. Chem. Solids. 113 , 157–163 (2018). https://doi.org/10.1016/j.jpcs.2017.10.020 S. Mubashir, M.K. Butt, M. Yaseen, J. Iqbal, M. Iqbal, A. Murtaza, A. Laref, Pressure induced electronic, optical and thermoelectric properties of cubic BaZrO3: a first principle calculations. Optik (Stuttg). 239 , 166694 (2021). https://doi.org/10.1016/j.ijleo.2021.166694 Q. Mahmood, N.D. Alkhaldi, A.S. Alofi, S.A. Rouf, T.M. Al-Daraghmeh, O. Zayed, M. Mana AL-Anazy, stable lead free double perovskites Cs2XAu (Br/I) 6 (X = Y, sc) as an emerging aspirant for solar cells and thermoelectric applications. Mater. Chem. Phys. (2024) 129188 A. Raihan, M.A. Rashid, M.H. Fahim, A. Hossain, M.R. Amin, Investigation of lead-free direct bandgap Ca2MAsO6 (M = Ga, In) double perovskites for optoelectronic and thermoelectric applications: a first principles study. Mater. Sci. Semicond. Process. 177 , 108356 (2024) A. Ayyaz, G. Murtaza, A. Usman, M. Umer, M.Q. Shah, H.S. Ali, First principles insight on mechanical stability, optical and thermoelectric response of novel lead-free Rb2ScCuBr6 and Cs2ScCuBr6 double perovskites. Mater. Sci. Semicond. Process. 169 , 107910 (2024) M. Ishfaq, M. Yaseen, S. Shukrullah, S. Noreen, Optoelectronic and thermoelectric transport phenomena in Sr2LaTaO6 and Sr2LuTaO6 double perovskites. Mater. Chem. Phys. 313 , 128728 (2024) K. Assiouan, A. Marjaoui, J.E.L. Khamkhami, M. Zanouni, H. Ziani, A. Bouchrit, A. Achahbar, Theoretical investigation of Rb2AuBiX6 (X = br, cl, F) double perovskite for thermoelectric and optoelectronic applications. J. Phys. Chem. Solids (2024) 111890 Download references AcknowledgementsThis work was funded by the Researchers Supporting Project Number (RSPD2024R763) King Saud University, Riyadh, Saudi Arabia. Author informationAuthors and affiliations. The Key Laboratory of Micro-nano Energy Materials and Application Technologies, University of Hunan Province & College of Physics and Electronic Engineering, Hengyang Normal University, Hengyang, 421002, People’s Republic of China Department of Physics, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan Aftab Farrukh Institute of Microscale Optoelectronics, Optical Engineering, Shenzhen University, Shenzhen, Guangdong province, China Muhammad Sajid Department of Physics, University of Agriculture Faisalabad, Faisalabad, 38040, Pakistan Jahangir Abbas, Nasarullah & Mubashir Nazar Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia Aboud Ahmed Awadh Bahajjaj State Key Laboratory of Metastable Materials Science and Technology, School of Materials Science and Engineering, Yanshan University, Qinhuangdao, 066004, China Javed Rehman MEU Research Unit, Middle East University, Amman, 11831, Jordan You can also search for this author in PubMed Google Scholar ContributionsQ.P, A.F., and J.A. wrote Manuscript, M.N. and M.S. visualized and edited the manuscript, A.A.A.B. funding acquisition and investigation, J.R. and N. Supervised and curated the data. Corresponding authorCorrespondence to Mubashir Nazar . Ethics declarationsCompeting interests. The authors declare no competing interests. Additional informationPublisher’s note. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissionsSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Reprints and permissions About this articlePeng, Q., Farrukh, A., Sajid, M. et al. Thermoelectric and Optoelectronic Properties of Rb 2 LiMoX 6 (X = Br, I) Ferromagnets Using Density Functional Theory. J Inorg Organomet Polym (2024). https://doi.org/10.1007/s10904-024-03339-2 Download citation Received : 07 June 2024 Accepted : 14 August 2024 Published : 03 September 2024 DOI : https://doi.org/10.1007/s10904-024-03339-2 Share this articleAnyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative - FP-LAPW approach
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Create a hypothesis (behavior) statement. A hypothesis statement should be based upon the assessment results and describes the best guess of the purpose of the behavior in sufficient detail. That is, what is the behavior trying to tell us? Analyzing assessment data helps team members identify patterns or behaviors across time and settings.
We also learned that, in an FBA, the hypothesis states the behavior, preceding circumstances, and possible function of the behavior. These examples show how the observation data can be turned into ...
DON'T ASSUME THAT A BEHAVIOR HAS ONLY ONE FUNCTION. Very frequently, behavior has more than one function and you might have more than one hypothesis. So you might have more than one hypothesis that describes the range of behaviors that the student is showing or the range of situations that the behaviors are occurring in. DON'T STOP TAKING DATA.
Functional Behavior Assessment (FBA) is a process of gathering information from a variety of sources to develop a hypothesis regarding why a student is displaying challenging behaviors. The function is assessed in terms of a student's context/environment. This means determining what
ional Behavior Assessment "Cheat Sheet" A functional behavior assessment was completed utilizing a variety of strategies including observ. ions, interviews and a review of records. The following is a. nd their frequency, severity and duration: Off task when the student does not engage with the scheduled activity for more than 10s; The ...
Page 8: Identify the Function of the Behavior. Once school professionals have collected the data on the student's behavior, the next step is to identify the function of that behavior. For example, when they consider David and Joseph, they need to determine: Remember, nearly all behavior occurs in order either to obtain or avoid something ...
Functional behavior assessment is used to understand the function or purpose of a specific interfering ... 2.4 Develop a hypothesis statement Based upon the information gathered through assessments, interviews, and direct observations, the team develops a hypothesis statement. Be sure the hypothesis statement developed includes:
Spectrum Disorders, Waisman Center, The University of Wisconsin. Functional behavior assessment (FBA) is a systematic set of strategies that is used to determine the underlying function or purpose of. behavior, so that an effective intervention plan can be developed. FBA consists of describing the interfering or problem behavior, identifying ...
Avoidance. Access. Attention. Sensory. Next steps. The 4 functions of behavior are avoidance, access, attention, and sensory. Understanding each function may help you replace unwanted behaviors ...
The outcome is a hypothesis that reports the functional relationship between behavior and consequence . The implication of this hypothesis will allow for variables to be manipulated and supports to be implemented to maintain, increase, or decrease behavior (Jolivette et al. 2000 ).
behavior.OverviewA functional behavioral assessment (FBA) is an evaluation technique used to determine the function of a student's behavior and the factor. that maintain it. It helps teachers to understand the reason(s) (i.e., the function or functions) for a student's behavior and then to use this information to design an intervention that ...
The structure of a behavior hypothesis statement is simple: the teacher writes a description of the problem behavior (developed in an earlier step) and selects a hypothesis that best explains the behavior based on available evidence (Batsche et al., 2008). The table below shows how these statements are formatted and offers several examples:
Hypothesis Statements The hypothesis about the function maintaining a student's problem behavior is a very important outcome of the FBA. The hypothesis statement starts with any setting events that increase the likelihood of problem behavior that have been identified in the FBA.
Abstract. This chapter will illuminate the meaning of constructing a pertinent and concise hypothesis regarding the function of a target behavior. It will explain the development of the hypothesis as it links to the targeted behavior. The reader will learn the "how-to's" of writing a hypothesis statement to complete the functional ...
Functional Behavior Assessment (FBA) is a process for gathering information to understand . the function (purpose) of behavior in order to write an effective Positive Behavior Support ... The ultimate goal of an FBA is to develop a testable hypothesis. The hypothesis is an . educated guess based on measurable and observational data, which leads ...
Functional behavior assessment (FBA) is an ongoing process of collecting information with a goal of identifying the environmental variables that control a problem or target behavior. ... If their hypothesis is true, then the problem behavior should occur much more often in the first condition than the second. Results show that their hypothesis ...
Functional behavior assessment (FBA) involves gathering information about the context(s) during which an individual engages in a particular behavior (Cooper, Heron, & Heward, 2020; Hagopian, Dozier, Rooker, & Jones, 2013).During the process, behavior analysts examine how the environment and behavior interact to determine what environmental events are likely to set the occasion, or evoke the ...
Ranking on teacher behavior rating scales: "Avoidance" ranked moderately high. A-B-C analysis: Function of behaviors #2, 3, 7, and 8* appears to be peer avoidance. Direct observation: During independent and group work, Nigel spends 85% of his time alone and not participating (average of 3 observations).
Test the hypothesis statement to ensure it is correct. Once a hypothesis statement, or best guess, has been developed, the next step involves testing our guess of the purpose of the behaviors to ensure that it is correct, as long as there is no risk of injury or damage. If the behavior involves risk of injury or damage, then proceed to Step 6.
Human behavior is a pretty complex thing and it's unlikely that we will explain someone's challenging behavior with only one hypothesis / function. Most behavior is multi-functional. The older the student gets and the more experience he/she has with challenging behavior, the more likely the challenging behavior may come to serve more than ...
A hypothesis is a tentative statement about the relationship between two or more variables. It is a specific, testable prediction about what you expect to happen in a study. It is a preliminary answer to your question that helps guide the research process. Consider a study designed to examine the relationship between sleep deprivation and test ...
Knowing what comes before the behavior in many situations, allows us to know what we might need to restructure or change to prevent the problem. Knowing what happens after the behavior let's us know what might be reinforcing it. Knowing that information let's us know two things. First, it tells us what may be the function of the behavior.
Behavior analysts often categorize behavior into four primary functions: escape/avoidance, attention-seeking, access to tangible items, and automatic reinforcement. These functions provide a framework for understanding why individuals engage in specific behaviors. This article delves into each of the four functions of behavior, exploring their ...
The present study employs DFT to simulate the geometrical, magnetic, optoelectronic, and thermoelectric characteristics of Rb2LiMoX6 (X = Br, I) in the WIEN2K program implementing FP-LAPW method. The tolerance factor (τ) and formation enthalpy (ΔHf) are estimated to verify the thermodynamic and structural stability of the Rb2LiMoX6 (X = Br, I) compounds. The values of τ are 0.91 and 0.89 ...