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Month: October 2020

  • What was the range of missing data for individual items?

    1. Comment on the researchers’ decisions in the research example at the end of this chapter (Cˇrncˇ ec et al., 2008). What, if anything, would you recommend doing differently? 2. For these exercises, you will be using the SPSS dataset Polit2SetC. This file contains responses to individual items on the Center for Epidemiologic Studies— Depression…

  • Would the value of Cronbach’s alpha increase if any items were deleted—and, if so, which items and by how much?

    Before performing a factor analysis, do a reliability analysis for the entire 20-item scale. Click Analyze ➜ Scale ➜ Reliability Analysis. Move the 16 negatively worded CESD items and the four reverse-coded items into field for items. Click the Statistics pushbutton and in the next dialog box, click Descriptives for all three options (Item, Scale,…

  • Essay on a Shakespear poem

    In the 1928 segments of Searss Harlem Duet, He is an actor performing the role of Othello. How does this reference to Shakespeares play impact our understanding of the story within each of the timelines in Searss play? Your essay should be organized around a single focused claim, and this claim should be supported by…

  • Project 2: close reading Essay #2

    Often when we read, the authors words make us see the world around us in new ways. Both poetry and song are similar genres that especially evoke strong imagery and emotions, even if they are also entertaining. In this essay, you will consider the context of a piece of writing and explore the ways it…

  • Criminal Justice: Theory in Practice

    1) What factors may influence both true/false positives and false negatives? (e.g., social, psychological, and biological backgrounds, education, etc. (Chapter 4) 2) Given the limited impact of the exclusionary rule on crime fighting and Miranda on conviction rates, what purposes do they serve? (Chapter 5) 3) Discuss the deterrent effect of the death penalty. Does…

  • How many factors were extracted in this PCA? What percentage of variance do these factors account for?

    In this exercise, you will undertake a principal components analysis of the CES-D items, using all 20 original items (no reversed items). Go to Analyze ➜ Data Reduction ➜ Factor Analysis. Select the 20 CES-D items, being careful not to select reversed items, and move them into the box for Variables. Click the Descriptives pushbutton…

  • undertake a factor analysis of the CES-D items using principal axis factoring, two factors, and oblique rotation.

    Now you will undertake a factor analysis of the CES-D items using principal axis factoring, two factors, and oblique rotation. Proceed with the same set of variables as in Exercise B3. You can remove some of the Descriptive options (e.g., no further need for the KMO test or inspection of the anti-image matrix). Click the…

  • run a reliability analysis for each of the two factors from the previous exercise.

    In this exercise, run a reliability analysis for each of the two factors from the previous exercise. In the first reliability analysis, use all 16 of the negatively worded items that had loadings greater than .30 on Factor I in Exercise B4. Then, do a second analysis for the four items that had loadings greater…

  • ) What was the range of missing data for individual items, in terms of numbers and percentages?

    For these exercises, you will be using the SPSS dataset Polit2SetC. We will begin by looking at individual responses to items on the Center for Epidemiologic Studies— Depression (CES-D) Scale. For a description of these 20 items, refer to Exercise B1 in the chapter “Factor Analysis and Internal Consistency Reliability Analysis.” If you did this…

  • If we then computed CES-D scales scores, for what percent of the cases would we not be able to compute a CES-D score?

    Now we will look at how many missing values individual participants had for these 20 CES-D items. To do this, we need to create a new variable (we will call it misscesd) that is a count of how many values are missing for each person. Select Transform ➜ Count Occurrences of Values Within Cases. In…

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