5015..Can this be done in 24 hours?..10pg
Saltwata2012
a year ago
75
files (3)cf_teen_parenting_case_study2.pdf
cf_teen_parenting_dataset.jasp
- wk9..5015assn2.docx
cf_teen_parenting_case_study2.pdf
\f CAPELLA UNIVERSITY
Teen Parenting Case Study Your agency is providing eight-week parenting classes for teen parents in an urban environment. Services are open to both teen mothers and teen fathers, and their children can be any age. You get referrals from local schools, hospitals, social service agencies, and the Department of Children and Family Services. The interventions of the program include a weekly parenting class, dealing with topics such as child development, effective communication with children, stress management, and compassionate behavior management strategies. The anticipated outcomes of the program include:
• Increased knowledge about child development.
• Increased sense of competence in parenting.
• Decreased reported stress levels.
• Beliefs in line with compassionate behavior management strategies rather than using corporal punishment.
1
- Teen Parenting Case Study
cf_teen_parenting_dataset.jasp
META-INF/MANIFEST.MF
Manifest-Version: 1.0 Created-By: JASP 0.16.3 Data-Archive-Version: 1.0.2 JASP-Archive-Version: 3.1
metadata.json
{ "computedColumns" : [], "dataFilePath" : "C:/Users/swowr/OneDrive/Desktop/SWK5015/cf_teen_parenting_dataset.csv", "dataFileReadOnly" : false, "dataFileTimestamp" : 1664372915, "dataSet" : { "columnCount" : 9, "emptyValuesMap" : { "Age" : {}, "CDTPost" : {}, "CDTPre" : {}, "Complete" : {}, "PCSPost" : {}, "PCSPre" : {}, "Sex" : {}, "TPSSPost" : {}, "TPSSPre" : {} }, "fields" : [ { "measureType" : "Nominal", "name" : "Sex", "type" : "integer" }, { "measureType" : "Ordinal", "name" : "Age", "type" : "integer" }, { "measureType" : "Nominal", "name" : "Complete", "type" : "integer" }, { "measureType" : "Continuous", "name" : "CDTPre", "type" : "number" }, { "measureType" : "Continuous", "name" : "CDTPost", "type" : "number" }, { "measureType" : "Continuous", "name" : "PCSPre", "type" : "number" }, { "measureType" : "Continuous", "name" : "PCSPost", "type" : "number" }, { "measureType" : "Continuous", "name" : "TPSSPre", "type" : "number" }, { "measureType" : "Continuous", "name" : "TPSSPost", "type" : "number" } ], "filterVector" : [ true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true, true ], "rowCount" : 50 }, "emptyValues" : [ "NaN", "nan", ".", "NA" ], "filterConstructorJSON" : "{\"formulas\":[]}", "filterData" : "# Add filters using R syntax here, see question mark for help.\n\ngeneratedFilter # by default: pass the non-R filter(s)" }
xdata.json
{ "Age" : { "labels" : [ [ 14, "14", true ], [ 15, "15", true ], [ 16, "16", true ], [ 17, "17", true ], [ 18, "18", true ] ], "orgStringValues" : null }, "Complete" : { "labels" : [ [ 1, "1", true ], [ 2, "2", true ] ], "orgStringValues" : null }, "Sex" : { "labels" : [ [ 1, "1", true ], [ 2, "2", true ] ], "orgStringValues" : null } }
data.bin
index.html
Results
Paired Samples T-Test
| Paired Samples T-Test | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Measure 1 | Measure 2 | t | df | p | |||||||
| CDTPre | - | CDTPost | -6.538 | 33 | < .001 | ||||||
| PCSPre | - | PCSPost | -6.295 | 33 | < .001 | ||||||
| TPSSPre | - | TPSSPost | 1.345 | 33 | 0.188 | ||||||
| Note. Student's t-test. |
Assumption Checks
| Test of Normality (Shapiro-Wilk) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| W | p | ||||||||
| CDTPre | - | CDTPost | 0.961 | 0.256 | |||||
| PCSPre | - | PCSPost | 0.970 | 0.474 | |||||
| TPSSPre | - | TPSSPost | 0.931 | 0.032 | |||||
| Note. Significant results suggest a deviation from normality. |
Descriptives
| Descriptives | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| N | Mean | SD | SE | Coefficient of variation | |||||||
| CDTPre | 34 | 33.971 | 16.823 | 2.885 | 0.495 | ||||||
| CDTPost | 34 | 58.235 | 24.676 | 4.232 | 0.424 | ||||||
| PCSPre | 34 | 17.853 | 6.725 | 1.153 | 0.377 | ||||||
| PCSPost | 34 | 26.088 | 8.043 | 1.379 | 0.308 | ||||||
| TPSSPre | 34 | 15.588 | 3.870 | 0.664 | 0.248 | ||||||
| TPSSPost | 34 | 14.882 | 3.780 | 0.648 | 0.254 | ||||||
analyses.json
{ "analyses" : [], "meta" : null }
- as we discussed
- finance
- statistics 2023 test good on STA2023 MATH?
- What is succession
- For AcademicResearch only so please dont ask to do this assingnment I have someone already Thanks
- Evaluation of Agency’s Public Personnel Administration, Part 2
- DECISION MAKING
- Early Literacy-Basic Terms
- History mini-research paper
- attention catherine owens
