\nContext
\nThis will be a two part assessment
\nPART ONE:
\nWhen we examine the relationships between variables where two or more variables are characterized by nominal or categorical groups, we may use a chi-square test of significance. The chi-square test examines the statistical significance of the differences between observed and expected frequency count in each cell of the table. The chi-square test tells you only whether a statistical significance of difference exists between groups on some other categorical variable (neither strength nor direction).
\nResources
\nRequired Resources
\nThe following resource is required to complete the assessment.
\nResources
\nClick the links provided to view the following resources:
\nassessment5a.sav.
\nassessment5b.sav.
\nassessment5c.sav.
\nassessment5d.sav.
\nSPSS Software
\nYou are required to have the following software to complete your assessments throughout the course:
\n?\tSPSS Statistics Premium Campus Edition, Base GradPack?or?Standard GradPack (version 22 for Windows or Mac).
\nNote: Versioning: This software is routinely updated. While version 22 of the IBM SPSS Statistics is recommended, older versions may be used if you already own or have access to them for the duration of this course. Arrange the required statistical software for your operating system (PC or Macintosh).
\nIf you have access to statistical software such as SAS or Excel with the appropriate add-in such as XLSTAT, you may use these as long as they meet the requirements of this course.
\n?\tAssessment Instructions
\nAnswer the questions below, following the Submission Requirements as specified at the end of the assessment.
\nAssessment Concepts
\nQuestion\tConcept
\nQuestion 1\tSPSS: One-Variable Chi Square
\nQuestion 2\tSPSS: One-Variable Chi Square
\nQuestion 3\tChi-Square as a Test of Independence
\nQuestion 4\tSPSS: Two-Variable Chi-Square
\nQuestion 5\tMeasures of Effect Size
\nQuestion 6\tPower and the Factors Affecting It
\nQuestion 7\tPower and the Factors Affecting It
\nQuestion 8\tCorrelational Studies
\nQuestion 9\tCorrelation: Relationship Direction
\nQuestion 10\tSPSS: Scatterplot
\nQuestion 11\tSPSS: Pearson?r
\nQuestion 12\tSPSS: Pearson?r
\nQuestion 1
\nComplete the following steps:
\n0.\tOpen the SPSS file?assessment5a.sav?linked in the Resources under the Required Resources heading.
\n1.\tAt the top of the screen, click on?Data, then select?Weight Cases.
\n2.\tClick on?Weight Cases By,?click on?Count, then click on the?arrow?next to?Frequency Variable?to send it over to the Test Variable box.
\n3.\tOn the toolbar, click?Analyze, then?Nonparametric Tests, then?Legacy Dialogs, the?Chi Square.
\n4.\tClick on?Favorite Color, then click on the?arrow?to send to the?Test Variable List?window.
\n5.\tUnder?Expected Values, select?Value, then enter the following four values in order:?43, 58, 253, 414.
\n6.\tClick?OK?and copy and paste the output to your Word document.
\nQuestion 2
\nThere are 218 first graders in an elementary school. Of these first graders, 86 are boys, and 132 are girls. School-wide, there are 753 boys and 1063 girls. The principal would like to know if the gender ratio in first grade reflects the gender ratio across the school.
\nComplete the following:
\n0.\tIdentify the null hypothesis.
\n1.\tWhat are the degrees of freedom (df)?
\n2.\tComplete the table (complete in SPSS and paste the output into your Word document):
\nQuestion 2
\nMen\tWomen
\nNumber Observed\tNumber Expected\tNumber Observed\tNumber Expected
\n?\t?\t?\t?
\n0.\tCalculate ?? in SPSS and paste the output into your Word document.
\n1.\tCan you reject the null hypothesis at a = .05?
\nQuestion 3
\nYou recently read a magazine article stating that professionals who attended college online tend to earn higher salaries than professionals who attended brick-and-mortar universities. Identify this study’s two variables.
\nQuestion 4
\nComplete the following steps:
\n0.\tOpen the SPSS file?assessment5b.sav?linked in the Resources under the Required Resources heading.
\n1.\tAt the top of the screen, click on?Data, then select?Weight Cases.
\n2.\tClick on?Weight Cases By, click on?Count, then click on the arrow next to?Frequency Variable?to send it over to the Test Variable box.
\n3.\tOn the toolbar, click?Analyze, then?Descriptive Statistics, then?Crosstabs.
\n4.\tClick on?Team Placement, then click on the?arrow?to send to the?Rows?window.
\n5.\tClick on?Gender, then click on the?arrow?to send to the?Columns?window.
\n6.\tClick on the?Statistics?button, then check the box for Chi-Square. Click?Continue.
\n7.\tClick on the?Cells?button, then check the box for?Expected. Click?Continue.
\n8.\tClick?OK, and copy and paste the output to your Word document.
\n9.\tHighlight the chi-square and significance values in the output. Write the chi-square results as you might see them in a journal.
\nQuestion 5
\nGroup A (n = 12) has a mean score of 7.42. Group B (n = 12) has a mean score of 6.00. Standard deviation for scores across all participants is 1.369. Group A’s mean is significantly higher than Group B’s mean (?t?= 2.84, a < .01).
\n0.\tCalculate effect size using Cohen’s d and effect size?r.
\n1.\tBased on the effect size, it there a practical difference between Groups A and B?
\nQuestion 6
\nAssume Cohen’s?d?to be approximately .40. If conducting an independent samples?t?test (two-tail, a= .05), how many participants will you need in each group to achieve 90 percent (.90) power?
\nQuestion 7
\nAssume effect size ? to be approximately .29. If conducting a one-way ANOVA (three groups, a = .05), how many participants will you need in each group to achieve 80 percent (.80) power.
\nQuestion 8
\nWhich of the following scenarios might be analyzed using a correlation?
\n?\tThe effectiveness of training A versus training B in raising skill level.
\n?\tMinutes spent exercising per week and physical fitness level.
\n?\tIncome level and the number of visits to a financial planner.
\n?\tBeer brand preference among college students.
\nQuestion 9
\nIndicate if you expect the relationship between the following variables to be negative (-), positive (+), or zero (0):
\n?\tSize of yard and size of landscaping bill.
\n?\tYears of education and income level.
\n?\tHours of TV watched per week and physical fitness level.
\n?\tNumber of siblings and number of pets.
\n?\tHours spent studying and exam scores.
\nQuestion 10
\nComplete the following steps:
\n0.\tOpen the SPSS file?assessment5c.sav?linked in the Resources under the Required Resources heading.
\n1.\tAt the top of the screen, click on?Graphs, then select?Legacy Dialogs, then?Scatter\/Dot.
\n2.\tClick on?Simple Scatter,?and select?Define.
\n3.\tClick on?Exam 1 (X), then click on the?arrow?next to?X Axis?to send it over to the X Axis box.
\n4.\tClick on?Exam 2 (Y), then click on the?arrow?next to?Y Axis?to send it over to the Y Axis box.
\n5.\tClick?OK, then copy and paste the scatterplot output to your Word document.
\nQuestion 11
\nComplete the following:
\n0.\tOpen the SPSS file?assessment5c.sav.
\n1.\tAt the top of the screen, click on?Analyze, then select?Correlation, then?Bivariate.
\n2.\tClick on?Exam 1 (X), then click on the?arrow?to send it over to the Variables box.
\n3.\tClick on?Exam 2 (Y), then click on the?arrow?to send it over to the Variables box.
\n4.\tClick?OK,?then copy and paste the correlation output to your Word document.
\nQuestion 12
\nComplete the following steps after opening the SPSS file?assessment5d.sav?linked in the Resources under the Required Resources heading:
\n0.\tCreate a scatterplot. Copy and paste the scatterplot output to your Word document.
\n1.\tBased on the scatterplot, what is the expected strength and direction of the correlation?
\n2.\tIdentify the null hypothesis.
\n3.\tCalculate Pearson r. Copy and paste the correlation output to your Word document.
\n4.\tBased on the correlation output (two-tailed test), can the null hypothesis be rejected? If the null can be rejected, how confident can you be that the results are not due to chance?
\n5.\tReport the results as you might see them in a journal.
\nSubmission Requirements
\n?\tSubmit all answers in one Word document (do not submit multiple files).
\n?\tShow your work for questions that require calculations.
\n?\tEnsure your answer to each problem is clearly visible (you may want to highlight your answer, or use a different font color, to set it apart).
\nPART TWO
\nAssessment Instructions
\nAs a mental health professional, you are expected to remain current on field research and apply this new knowledge in your work.
\nComplete the following:
\n?\tSelect an area of interest within psychology.
\n?\tUse the library to locate one peer-reviewed journal article that uses the interpretation of statistical analysis to resolve an issue in the field. Select an article that uses quantitative (not qualitative) analyses.
\n?\tWrite a 2 page critically analyzing the article. Consider the interpretation and selection of the supporting statistical analyses. To do this, complete the following:
\n?\tExplain the analysis and describe the decision that was made. Was the null hypothesis rejected, or did the article fail to reject the null hypothesis? Provide examples of the statistical language used and translate the examples from statistical language to real-world language.
\n?\tEvaluate the research and discuss areas of strength and areas of weakness in the study design, research process, and interpretation and description of the results.
\n?\tExplain whether you think the conclusions accurately reflect the analysis. Use both statistical and real-world language to support your opinion.
\nBe sure to communicate in a manner that respects the dignity, cultural and ethnic backgrounds, and individual uniqueness of others.
\nAdditional Requirements
\n?\tWritten communication:?Ensure written communication is free of errors that detract from the overall message.
\n?\tAPA formatting:?Format your paper according to current APA style and formatting guidelines.
\n?\tLength:?Submit 2 typed and double-spaced pages.
\n?\tFont and font size:?Use Times New Roman, 12-point font.<\/p>\n","protected":false},"excerpt":{"rendered":"
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