Masters Level Quantitative Design Assessment T-Scores Must Have SPSS

Masters Level Quantitative Design Assessment T-Scores Must Have SPSS

For this assessment, you will complete an SPSS data analysis report using t-test output for assigned variables.

You will review the theory, logic, and application of t tests. The t test is a basic inferential statistic often reported in psychological research. You will discover that t tests, as well as analysis of variance (ANOVA), compare group means on some quantitative outcome variable.

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By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
Develop a conclusion that includes strengths and limitations of an independent-samples t test.
Competency 2: Analyze the decision-making process of data analysis.
Analyze the assumptions of the independent-samples t test.
Competency 3: Apply knowledge of hypothesis testing.
Develop a research question, null hypothesis, alternative hypothesis, and alpha level.
Competency 4: Interpret the results of statistical analyses.
Interpret the output of the independent-samples t test.
Competency 5: Apply a statistical program’s procedure to data.
Apply the appropriate SPSS procedures to check assumptions and calculate the independent-samples t test to generate relevant output.
Competency 6: Apply the results of statistical analyses (your own or others) to your field of interest or career.
Develop a context for the data set, including a definition of required variables and scales of measurement.
Competency 7: Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.
Communicate in a manner that is scholarly, professional, and consistent with the expectations for members in the identified field of study.