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Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to help assure data accuracy. For the SCAS, this means validating data entry by making sure the item scores stay within the valid range (0–3), confirming there are no missing responses out of the 44 items, and accurately entering demographic information like age and gender since those details impact T-score calculations.
When calculating the subscales, remembering to exclude the five filler items (11, 17, 26, 31, 38) from the totals is important; otherwise, the scores may incorrectly reflect anxiety symptoms. Running frequency checks on the data helps identify any inconsistencies or out-of-range values, and subscale totals should always be cross-checked with the SCAS scoring manual for confirmation (SCAS, 2021). Keeping records of how data is entered and scored makes it easier to find and fix mistakes, and double-checking can catch errors that might otherwise be missed (Gliklich et al., 2014).
References
Gliklich, R. E., Dreyer, N. A., & Leavy, M. B. (2014). Data collection and quality assurance. In Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK208601/
Laerd Statistics. (2018a). Dependent t-test in SPSS statistics – The procedure for running the test, generating the output, and understanding the output using a relevant example. Laerd.com. https://statistics.laerd.com/spss-tutorials/dependent-t-test-using-spss-statistics.php
SCAS. (2021, July 9). SCAS child – Scoring and interpretation – The Spence children’s anxiety scale. The Spence Children’s Anxiety Scale. https://www.scaswebsite.com/portfolio/scas-child-scoring-and-interpretation/
Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545–566. https://doi.org/10.1016/S0005-7967(98)00034-5
Reply Quote Email AuthorHide 2 replies 1 day agoLynette Benaboura RE: Week 5 Discussion Thread
Melanie Simms RE: Week 5 Discussion ThreadCollapse
Hello Dr. Wade and Class,
Scale and Reverse Scoring
The SCAS items use an ordinal scale with 44 items on a 4-point Likert scale (e.g., never, sometimes, often, always). Each response reflects increasing levels of anxiety symptom frequency, making it a good fit for non-parametric tests like the Wilcoxon Signed Rank Test to evaluate changes over time (Laerd, 2013). There are six positive filler items (11, 17, 26, 31, 38); these items are not scored with the subscale or total scores, which means only 38 out of 44 items are scored (SCAS, 2021). If these items were to be included they would need to be reversed scored before calculating total scores.
Subscales and Total Scores
The SCAS requires careful attention to scoring because it involves both subscale scoring and total scores:
Separation Anxiety (SCAS_SEP): Sum of items 5, 8, 12, 15, 16, 44
Social Phobia (SCAS_SOC): Sum of items 6, 7, 9, 10, 29, 35
OCD (SCAS_OCD): Sum of items 14, 19, 27, 40, 41, 42
Panic/Agoraphobia (SCAS_PANIC): Sum of items 13, 21, 28, 30, 32, 34, 36, 37, 39
Physical Injury Fears (SCAS_PHYS): Sum of items 2, 18, 23, 25, 33
Generalized Anxiety (SCAS_GAD): Sum of items 1, 3, 4, 20, 22, 24
Labeling
Clear labeling is really important when using SPSS to avoid errors, otherwise things get very confusing very quickly. Each variable should include descriptive labels that include the scale, item number, and which assessment it is (pre-, post, follow-up). For example, SCAS44pre, SCAS20post, and SCAS1Followup and subscale scores SCASsepPRE (separation anxiety, pretest), SCASsocPOST (social anxiety, posttest), and SCASpanicFollow (Panic‎/ Agoraphobia- Follow up).
Error Prevention
Mistakes must be avoided at all costs when collecting and analyzing data. Gliklich et al. (2014) suggest strategies like providing training and supervision to data collectors, performing data validation checks, and data audits to hel

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