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  • [Solved] week one feed back Jada

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    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in ps…

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    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    Approaching data collection for a self-esteem measure should begin by generating a comprehensive list of items that reflect various aspects of self-esteem. This can include both positive and negative self-perceptions, feelings of worthiness, and social comparisons. It is wise to engage experts in psychology, particularly those with experience in self-esteem research, to ensure that the items are relevant and cover the construct adequately (J. P. Robinson et al., 1991). Once there is a draft of the items, one should conduct a pilot test with a small, diverse sample representative of our target population (J. P. Robinson et al., 1991). This initial testing allows researchers to gather qualitative feedback on the clarity and relevance of each item and identify any potential biases (J. P. Robinson et al., 1991).

    Next, pilot test data will be analyzed to determine which items perform well in terms of internal consistency (J. P. Robinson et al., 1991). Using statistical measures such as Cronbach's alpha to assess the reliability of the items is necessary for a reliable study (J. P. Robinson et al., 1991). Items with low item-total correlations or those that do not contribute to the overall reliability should be considered for removal or revision (J. P. Robinson et al., 1991).

    Once the set of items has been refined, it is necessary to conduct a larger study to test the reliability of the instrument using larger samples (Demo, 1985). This phase could involve both test-retest reliability (to see if the measure produces consistent results over time) and internal consistency reliability (to ensure that all items in the scale measure the same underlying construct) (Demo, 1985). Then, the instrument will be validated, and its construct validity will be examined by correlating it with established self-esteem measures (Demo, 1985). One could also use factor analysis to confirm that the items grouped according to the theoretical dimensions of self-esteem (Demo, 1985). Additionally, gathering data on demographic variables could help in assessing criterion validity by analyzing how the self-esteem measure relates to expected outcomes such as well-being or social functioning (Demo, 1985). Based on feedback and data analysis, one should be prepared to refine the items and retest the measure as necessary (Robinson et al., 1991). Engaging in ongoing dialogues with participants about their experiences and perspectives can inform further enhancements (Robinson et al., 1991). After several rounds of testing and validation, a final evaluation will be conducted to ensure that the self-esteem measure is psychometrically sound and applicable to our target population (Robinson et al., 1991). This structured approach will help ensure that the self-esteem measure is reliable, valid, and relevant, ultimately leading to more accurate assessments and insights (Donnellan et al., 2014).

    References

    Demo, D. H., H. (1985). The Measurement of Self-Esteem: Refining our methods. Journal of

    Personality and Social Psychology, 48, 1490–1502. [https://doi.org/10.1037/0022-](https://doi.org/10.1037/0022-) 3514.48.6.1490

    Donnellan, M. B., Trzesniewski, K. H., & Robins, R. W. (2014). Measures of Self-Esteem. In

    Elsevier eBooks (pp. 131–157). https://doi.org/10.1016/b978-0-12-386915-9.00006-1

    Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Measures of personality and social

    psychological attitudes. In Elsevier eBooks. https://doi.org/10.1016/c2013-0-07551-2

    – 2 years ago

  • [Solved] Mini soap note

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    see attachment – 2 years ago **files (1)** – ## MINISOAPnoteweek4.pdf **## MINISOAPnoteweek4.pdf** Demographic Data • Age, and gender (must be HIPAA compliant) Subjective • Chief Complaint (CC) unless an Annual Physical Exam (APE) • History of Present Illness (HPI) in paragraph form (remember OLDCAR…

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    Assignment Prompt & Instructions

    see attachment

    – 2 years ago

    **files (1)**

    – ## MINISOAPnoteweek4.pdf

    **## MINISOAPnoteweek4.pdf**

    Demographic Data

    • Age, and gender (must be HIPAA compliant)

    Subjective

    • Chief Complaint (CC) unless an Annual Physical Exam (APE)
    • History of Present Illness (HPI) in paragraph form (remember OLDCART: Onset, Location,

    Duration, Characteristics, Aggravating/Alleviating Factors, Relieving Factors, Treatment)
    • Past Med. Hx (PMH): Medical or surgical problems, hospitalizations, medications, allergies,

    immunizations, and preventative health maintenance as applicable
    • Family Hx: As applicable
    • Social Hx: Including nutrition, exercise, substance use, sexual hx, occupation, school, etc.
    • Review of Systems (ROS) as appropriate: Include health maintenance (e.g., eye, dental, pap,

    vaccines, colonoscopy)

    Objective

    • Vital signs
    • Physical findings listed by body systems, not paragraph form

    Assessment (Diagnosis/ICD10 Code)

    • Include all diagnoses that apply for this visit

    Plan

    • Dx Plan (lab, x-ray)
    • Tx Plan: (meds)
    • Pt. Education, including specific medication teaching points
    • Referral/Follow-up
    • Health maintenance (including when screenings, immunizations, etc., are next due):

    **## MINISOAPnoteweek4.pdf**

    Demographic Data

    • Age, and gender (must be HIPAA compliant)

    Subjective

    • Chief Complaint (CC) unless an Annual Physical Exam (APE)
    • History of Present Illness (HPI) in paragraph form (remember OLDCART: Onset, Location,

    Duration, Characteristics, Aggravating/Alleviating Factors, Relieving Factors, Treatment)
    • Past Med. Hx (PMH): Medical or surgical problems, hospitalizations, medications, allergies,

    immunizations, and preventative health maintenance as applicable
    • Family Hx: As applicable
    • Social Hx: Including nutrition, exercise, substance use, sexual hx, occupation, school, etc.
    • Review of Systems (ROS) as appropriate: Include health maintenance (e.g., eye, dental, pap,

    vaccines, colonoscopy)

    Objective

    • Vital signs
    • Physical findings listed by body systems, not paragraph form

    Assessment (Diagnosis/ICD10 Code)

    • Include all diagnoses that apply for this visit

    Plan

    • Dx Plan (lab, x-ray)
    • Tx Plan: (meds)
    • Pt. Education, including specific medication teaching points
    • Referral/Follow-up
    • Health maintenance (including when screenings, immunizations, etc., are next due):

  • [Solved] Discussion

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    https://docs.google.com/forms/d/e/1FAIpQLSfwhqsbeRDP5zkhVvKqzNVLjulpRxxc5xxgQzUpgpzVexQ0vw/viewform?hr_submission=ChkIgMuS6YMWEhAIts7x6-gVEgcIwJ-hxv8TEAA&authuser=0 https://behavioralobservations.com/downloads/session-101-the-ethics-of-school-consultation-with-missy-olive-bcba-d?authuser=0 https://…

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    Assignment Prompt & Instructions

    https://docs.google.com/forms/d/e/1FAIpQLSfwhqsbeRDP5zkhVvKqzNVLjulpRxxc5xxgQzUpgpzVexQ0vw/viewform?hr_submission=ChkIgMuS6YMWEhAIts7x6-gVEgcIwJ-hxv8TEAA&authuser=0

    https://behavioralobservations.com/downloads/session-101-the-ethics-of-school-consultation-with-missy-olive-bcba-d?authuser=0

    https://www.youtube.com/watch?v=YP5-Ezloorg&authuser=0

    – 2 years ago

  • [Solved] feedback pro

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    You discuss content validity and predictive validity. What about convergent and discriminant validity? These types of construct validity would confirm that the measure correlates with similar concepts (convergent) and does not correlate with unrelated concepts (discriminant). I look forward to your …

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    Assignment Prompt & Instructions

    You discuss content validity and predictive validity. What about convergent and discriminant validity?

    These types of construct validity would confirm that the measure correlates with similar concepts (convergent) and does not correlate with unrelated concepts (discriminant). I look forward to your update about what you would look at in relation to our self-esteem measure to determine convergent and discriminant validity.

    – [\
    \
    Discussion-Self-esteem21.docx](https://www.sweetstudy.com/files/discussion-self-esteem21-docx-10241821 "Discussion-Self-esteem21.docx")

    – 2 years ago

  • [Solved] English Assignment 4

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    Executive Solution Overview

    In-depth study guidance and analytical solution covering English Assignment 4.

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    Full assignment prompt and step-by-step guidance are included in the downloadable solution file.

  • [Solved] MA100 Quantitative Reasoning

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    – 2 years ago **files (1)** – ## Week3EndofWeekAssignment-GrowthModels.docx **## Week3EndofWeekAssignment-GrowthModels.docx** **Exponential Growth—U.S. Population and World Population** ### Mathematical Modeling Exercise 1 Callie and Joe are examining the population data in the graphs below for a hi…

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    – 2 years ago

    **files (1)**

    – ## Week3EndofWeekAssignment-GrowthModels.docx

    **## Week3EndofWeekAssignment-GrowthModels.docx**

    **Exponential Growth—U.S. Population and World Population**

    ### Mathematical Modeling Exercise 1

    Callie and Joe are examining the population data in the graphs below for a history report. Their comments are as follows:

    Callie: It looks like the U.S. population grew the same amount as the world population, but that can’t be right, can it? Joe: Well, I don’t think they grew by the same
    _amount_, but they sure grew at about the same rate. Look at the slopes.

    **Population (in millions)**

    **Population (in millions)**

    **U.S. Population**

    300

    250

    200

    150

    100

    50

    0

    1950 1960 1970 1980 1990 2000

    **Year**

    **World Population**

    7000

    6000

    5000

    4000

    3000

    2000

    1000

    0

    1950 1960 1970 1980 1990 2000

    **Year**

    1a. Is Callie’s observation correct? Why or why not?

    1b. Is Joe’s observation correct? Why or why not?

    2a. Show your work.

    Use the World Population graph to estimate the percent increase in world population from 1950 to 2000.

    Now, use the U.S. Population graph to estimate the percent increase in the U.S. population for the same time period.

    3a. How does the percent increase for the world population compare to that for the U.S. population over the same time period, 1950 to 2000?

    3b. Do the graphs above seem to indicate linear or exponential population growth? Explain your response.

    4. Write an explicit formula for the function that models the world population growth from 1950

    to 2000 based on the information in the graph. Assume that the population (in millions) in 1950

    was 2,500 and in 2000 was 6,000. Use 𝑡 to represent the number of years after 1950.

    ### Mathematical Modeling Exercise 2 **World Population** 7000 6000 5000 4000 3000 2000 1000 0 1700 1750 1800 1850 **Year** 1900 1950 2000 **Population (in millions)**

    5. How is this graph similar to the World Population graph in Mathematical Modeling Exercise 1? How is it different?

    6a. Does the behavior of the graph from 1950 to 2000 match that shown on the graph in Mathematical Modeling Exercise 1? Explain your answer.

    6b. Why is the graph from Mathematical Modeling Exercise 1 somewhat misleading?

    **## Week3EndofWeekAssignment-GrowthModels.docx**

    **Exponential Growth—U.S. Population and World Population**

    ### Mathematical Modeling Exercise 1

    Callie and Joe are examining the population data in the graphs below for a history report. Their comments are as follows:

    Callie: It looks like the U.S. population grew the same amount as the world population, but that can’t be right, can it? Joe: Well, I don’t think they grew by the same
    _amount_, but they sure grew at about the same rate. Look at the slopes.

    **Population (in millions)**

    **Population (in millions)**

    **U.S. Population**

    300

    250

    200

    150

    100

    50

    0

    1950 1960 1970 1980 1990 2000

    **Year**

    **World Population**

    7000

    6000

    5000

    4000

    3000

    2000

    1000

    0

    1950 1960 1970 1980 1990 2000

    **Year**

    1a. Is Callie’s observation correct? Why or why not?

    1b. Is Joe’s observation correct? Why or why not?

    2a. Show your work.

    Use the World Population graph to estimate the percent increase in world population from 1950 to 2000.

    Now, use the U.S. Population graph to estimate the percent increase in the U.S. population for the same time period.

    3a. How does the percent increase for the world population compare to that for the U.S. population over the same time period, 1950 to 2000?

    3b. Do the graphs above seem to indicate linear or exponential population growth? Explain your response.

    4. Write an explicit formula for the function that models the world population growth from 1950

    to 2000 based on the information in the graph. Assume that the population (in millions) in 1950

    was 2,500 and in 2000 was 6,000. Use 𝑡 to represent the number of years after 1950.

    ### Mathematical Modeling Exercise 2 **World Population** 7000 6000 5000 4000 3000 2000 1000 0 1700 1750 1800 1850 **Year** 1900 1950 2000 **Population (in millions)**

    5. How is this graph similar to the World Population graph in Mathematical Modeling Exercise 1? How is it different?

    6a. Does the behavior of the graph from 1950 to 2000 match that shown on the graph in Mathematical Modeling Exercise 1? Explain your answer.

    6b. Why is the graph from Mathematical Modeling Exercise 1 somewhat misleading?

  • [Solved] Nursing theory

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  • [Solved] discussion

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    **ecommendations for a high-profile case** Unlike the private judge involved in Pitt/Jolie's divorce who was disqualified as a result of improperly disclosed business dealing's with Pitt's attorneys ( _Los Angeles Times,_ 2021), it is in a practitioners best interest to not align in anyway with eith…

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    **ecommendations for a high-profile case**

    Unlike the private judge involved in Pitt/Jolie's divorce who was disqualified as a result of improperly disclosed business dealing's with Pitt's attorneys ( _Los Angeles Times,_ 2021), it is in a practitioners best interest to not align in anyway with either party in a family court situation. The high-profile nature of some cases may spark a natural feeling of awe as observing the inner-workings of a celebrities personal life may be interesting and captivating as a layman, however, as an officer of the court, such feelings cannot be allowed to influence the results of assessments or evaluations.

    **Juvenile Forensic Assessments**

    I would conduct a civil family assessment with the child and each parent one on one. Doing this would be to assess the body language and behaviors between each group. The importance of this would be to take note of any drastic personality changes or body language differences that would be relevant in conjunction with the ongoing home visits and other evaluations.

    **Guidelines for effective communication**

    As a mental health counselor (MHC), or other qualified practitioner serving the courts as an evaluator, the main duty is to the court itself and not any of the family members or participants in the case (Patel, 2014). In their article, Patel & Choate are explicit when discussing the importance of neutrality in family court and in issues of court mandated custody decisions. When conducting child custody evaluations (CCE), the evaluator is performing a duty to the court and is acquiring information for the judge to have relevant information to form a ruling regarding the best interest of the child. In order to do that, the evaluator has strict guidelines of practice they must follow or have an increased risk of having their evaluations compromised or be brought to court themselves for ethics violations; some of these guidelines include, not providing guidance, not offering counseling to someone they have evaluated as well as not evaluating someone they counsel or have counseled (Patel, 2014). For a high-profile case, it would be wise to not acknowledge the fame or notoriety of either parent, to avoid personal preferences, etc, when conducting assessments and all evaluations, and overall to uphold the expected level of neutrality and professionalism.

    References:

    [California high court refuses to hear Brad Pitt’s appeal in child custody battleLinks to an external site.](https://www.latimes.com/entertainment-arts/story/2021-10-28/california-supreme-court-brad-pitt-angelina-jolie-divorce). (2021, October 28). _Los Angeles Times_. [https://www.latimes.com/entertainment-arts/story/2021-10-28/california-supreme-court-brad-pitt-angelina-jolie-divorceLinks to an external site.](https://www.latimes.com/entertainment-arts/story/2021-10-28/california-supreme-court-brad-pitt-angelina-jolie-divorce).

    Patel, S. H., & Choate, L. H. (2014). [Conducting child custody evaluations: Best practices for mental health counselors who are court-appointed as child custody evaluatorsLinks to an external site.](https://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=eue&AN=93646485&site=eds-live&scope=site&custid=s6527200). _Journal of Mental Health Counseling_, _36_(1), 18–30. https://doi.org/10.17744/mehc.36.1.e00401wv7134w505

    – 2 years ago

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    Conduct an analysis of the elements of the research article you identified. Be sure to include the following: – Your topic of interest. – A correctly formatted APA citation of the article you selected, along with link or search details. – Identify a professional practice use of the theories/concepts…

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    Conduct an analysis of the elements of the research article you identified. Be sure to include the following:

    – Your topic of interest.
    – A correctly formatted APA citation of the article you selected, along with link or search details.
    – Identify a professional practice use of the theories/concepts presented in the article.
    – Analysis of the article using the “Research Analysis Matrix” section of the template
    – Write a 1-paragraph justification stating whether you would recommend this article to inform professional practice.
    – Write a 2- to 3-paragraph summary that you will add to your Academic Success and Professional Development Plan that includes the following:
    – Describe your approach to identifying and analyzing peer-reviewed research.
    – Identify at least two strategies that you would use that you found to be effective in finding peer-reviewed research.
    – Identify at least one resource you intend to use in the future to find peer-reviewed research

    – [\
    \
    Module3Assigment.docx](https://www.sweetstudy.com/files/module3assigment-docx-10241401 "Module3Assigment.docx")
    – [\
    \
    Management_of_Insomnia.pdf](https://www.sweetstudy.com/files/management-of-insomnia-pdf "Management_of_Insomnia.pdf")

    – 2 years ago

  • [Solved] discussion

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    For parents that are married, that no longer wish to be involved with each other. They will normally get divorced, however what a lot of individuals don’t realize is that some people will take their personal feelings and use their children as tools. Sometimes during the child custody dispute there w…

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    For parents that are married, that no longer wish to be involved with each other. They will normally get divorced, however what a lot of individuals don’t realize is that some people will take their personal feelings and use their children as tools. Sometimes during the child custody dispute there will be someone brought in that will be a non-bias individual that will help decide a decision for the placement of the child.

    – Explain what areas a forensic psychology professional may likely assess when making specific recommendations involving high-profile situations (e.g., the Jolie/Pitt child custody case). Provide specific examples.
    – The areas for a forensic psychology professional would be assessing the health of the parents and children. This is important in general because we will be able to evaluate the parents’ mental health condition. It will also help determine which household is stable for the child. They will evaluate stability, safety, financial stability, and the possibility for harmful influences. An important one would be the communication and coparenting skills that both parents are able to do. This will help with the child’s adjustment to the new living arrangements (Graham D. Glancy, 2015).
    – Recommend one juvenile forensic assessment instrument that the forensic professional would most likely use in deciding regarding the case.
    – One juvenile forensic assessment instrument that would be used would be the Structured Assessment of Violence Risk in Youth (SAVRY). This emerged in the late 1990s and early 2000’s. It is designed to evaluate the risk of violence in adolescence. It provides an insight into the risk factors to forensic psychologist to make decisions about possible interventions and management plans for the individual (Beltrani, 2025).
    – Provide specific guidelines for effective communication of forensic assessment findings, especially considering the high-profile status of the case. Your ability as a forensic professional to remain impartial and to maintain confidentiality should be an important consideration.
    – This requires clarity, professionalism and the ability to adhere to ethical guidelines. We need to be sure that we are finding evidence based of off data gathered from the case. In most cases we need to avoid personal emotions about the case. However, to be frank there needs to be some emotion when it comes to cases with children. From personal experience the courts have had overwhelming evidence with my father that was mentally abusive and left me in counseling. However, I still had to go see him for weeks at a time, despite the mental abuse and physical harm I was doing to myself.
    – For the means of discussion and future cases we also need to use clear and professional language that the courts would approve of. We need to avoid technical Jargon or overly complex explanations, only use facts and a logical structure as to not confuse the courts. Overall, we should always focus on the wellbeing of the child’s best interests and recommend what’s best for the child’s well-being, safety and most importantly, developmental needs. (Beltrani, 2025)
    – A good example of this would be that when I was younger I had issues in school, the school recommended summer school. My mother reported this to the courts and my father did not like this. He argued with the judge that my mother was purposely keeping me away from him, despite having overwhelming evidence from the school recommending summer school. The courts ruled in my fathers favor, making me miss out on the education that I needed and making me endure mental abuse during the summer. I went to counseling and put on medication that year. My point to this is that we need to do better.

    ## References

    Beltrani, A. (2025). _Juvenile General Violence Risk Assessments_. Retrieved from concept.paloatou.edu: https://concept.paloaltou.edu/resources/business-of-practice-blog/juvenile-general-violence-risk

    Graham D. Glancy, P. A. (2015, June 15). _AAPL Practice Guideline for the Forensic Assessment_. Retrieved from Jaapl.org: https://jaapl.org/content/43/2_Supplement/S3

    – 2 years ago