{ "metadata": { "name": "", "signature": "sha256:f381e37a704f0cc641e098b7697c3a0962254c9ac3c10b4d81c4656640bdde27" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Abbreviating the PPI-R with precis\n", "==================\n", "Tal Yarkoni (Email | Web | Twitter | GitHub), June 2014\n", "\n", "What's precis?\n", "-------------\n", "Precis is a Python package for automated, genetic algorithm-based abbreviation of questionnaire measures. It's designed to solve a common problem many researchers in psychology and other fields face. Namely, that administering questionnaire measures is often an unpleasant process for both researchers and participants. It's unpleasant for researchers because questionnaire measures take up precious research time that could otherwise be used for other tasks. As for participants, well, spending a half hour or so filling out a few hundred likert items is not high up on most people's list of preferred activities. As a result, there's been an increasing push in recent years to develop abbreviated versions of common scales that do nearly as good a job measuring the construct of interest in considerably less time.\n", "\n", "Precis is based on a recent [Journal of Research in Personality paper](http://pilab.psy.utexas.edu/publications/Yarkoni_JRP_2010b.pdf) that introduced a novel approach to the process of measure abbreviation. Instead of relying on conventional psychometric criteria iteratively evaluated by human investigators, the approach we proposed relies on a [genetic algorithm](http://en.wikipedia.org/wiki/Genetic_algorithm) to automatically \"evolve\" a good abbreviation. Our approach allows for considerable flexibility in the abbreviation process, as the user can define custom abbreviation and evaluation functions.\n", "\n", "This notebook is more of an annotated example than a tutorial, and some basic knowledge of Python is assumed (though readers more familiar with R or Matlab will probably be okay too). We don't explain every step in detail, but the code below should provide a general sense of what precis does, and how you can use it to abbreviate other measures. All the files needed to run this example are contained within the [examples](http://github.com/tyarkoni/precis/tree/master/examples/) folder of the precis [github repository](http://github.com/precis).\n", "\n", "The data\n", "---------\n", "The data used in this example are from a forthcoming paper ([Eisenbarth, Lilienfeld, & Yarkoni, 2014](http://pilab.psy.utexas.edu/publications/Eisenbarth_Psychological_Assessment_2014.pdf)) in which we use precis to create a substantially shorter version of the [Psychopathic Personality Inventory](http://en.wikipedia.org/wiki/Psychopathic_Personality_Inventory)--Revised (PPI-R). The PPI-R, developed by [Scott Lilienfeld](http://www.psychology.emory.edu/clinical/lilienfeld/) and colleagues, is a widely used self-report measure of global psychopathy and its component traits. It consists of 154 items used to score a number of different psychopathy-related traits (Fearlessness, Stress immunity, Blame externalization, etc.). One practical limitation of the PPI-R is that it's a relatively long measure, precluding its use in situations where time is short. So in this notebook (and the paper the notebook is based on), we're going to generate a shorter version of the PPI-R and see how it performs.\n", "\n", "The data in question come from three separate German-language samples. We've consolidated the data for all three samples in a single file located in the [data](http://github.com/tyarkoni/precis/tree/master/examples/PPI/data/) folder. Subjects are in rows and PPI-R item scores are in columns. Scale scores aren't provided, as we'll generate them from the item scores using the scoring key located in the same directory.\n", "\n", "Preliminaries\n", "-------------\n", "First, let's import all of the precis modules and classes we'll need. We'll also import [seaborn](http://github.com/mwaskom/seaborn) to give us nice plotting defaults." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import seaborn as sns\n", "from precis.base import Dataset, Measure, AbbreviatedMeasure\n", "from precis.abbreviate import TopNAbbreviator\n", "from precis.evaluate import YarkoniEvaluator\n", "from precis.generate import Generator\n", "from precis import plot as sp\n", "%matplotlib inline" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Creating a Measure\n", "------------------\n", "The first thing we'll do is create a new Measure instance from PPI-R data. We'll pass in a text file containing the individual item scores. We'll also specify that all rows with any missing values (i.e., items that a participant didn't answer) should be dropped from analysis. We can also use mean imputation if we prefer, but since we have a pretty large sample in this case (> 1600 subjects), we can afford to be more conservative and simply eliminate subjects who didn't follow instructions 100% correctly.\n", "\n", "Once the Measure instance is constructed, we'll then generate scale scores by passing a scoring key to the score() method. After that, we can display some useful summary information about the Measure by simply printing the object:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Initialize the Measure\n", "ppi = Measure(X='data/PPI-R_German_data.txt', missing='drop')\n", "# Generate scale scores from the PPI scoring key\n", "ppi.score(key='data/PPI-R_scoring_key.txt', columns=['B','Ca','Co','F','M','R','So','St'], rescale=True)\n", "# Display some information\n", "print(ppi)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of items: 154\n", "Number of scales: 8\n", "Number of subjects: 1590\n", "\n", "Scoring key:\n", "B (15 items, R^2=1.00, alpha=0.87):\t16, 18, 19, 38R, 40, 60, 62, 82R, 84, 90, 100R, 112, 122, 134, 144\n", "Ca (19 items, R^2=1.00, alpha=0.81):\t7, 29, 44R, 51R, 66, 73R, 88R, 89R, 99R, 101R, 108R, 111, 121R, 123R, 130R, 133R, 143R, 145R, 152R\n", "Co (16 items, R^2=1.00, alpha=0.85):\t5R, 9R, 27R, 31R, 49, 53R, 71R, 75R, 97R, 98R, 109R, 110R, 120R, 131, 142R, 153R\n", "F (14 items, R^2=1.00, alpha=0.86):\t3R, 12, 13, 25, 35, 47R, 57, 69R, 79R, 93, 115, 126, 137, 148\n", "M (20 items, R^2=1.00, alpha=0.79):\t1, 11, 17R, 23, 33, 39, 45, 55, 61, 67, 77, 83R, 92, 103, 114, 125, 132, 136, 147, 154\n", "R (16 items, R^2=1.00, alpha=0.80):\t4, 14, 15, 26, 36, 48, 58, 70, 80, 94, 104, 105, 116, 127, 138, 149\n", "So (18 items, R^2=1.00, alpha=0.87):\t2, 21R, 22R, 24R, 34, 41, 43, 46, 56, 63, 65R, 68R, 78, 85, 87R, 91, 113R, 135R\n", "St (13 items, R^2=1.00, alpha=0.85):\t6R, 10R, 28R, 32, 50R, 54, 72R, 76R, 96, 118, 119R, 140, 141R\n" ] } ], "prompt_number": 2 }, { "cell_type": "markdown", "metadata": {}, "source": [ "As noted above, we're using a combined dataset made up of 3 separate German-language samples, for a total of n = 1,590 subjects. The scoring key displays the number and identity of items used to score each of 8 subscales on the PPI-R. R2 and Cronbach's alpha values are also displayed. (The R2 values are meaningless in this case. Normally, they would represent the convergent correlation between an abbreviated measure and the corresponding original measure, but in this case we're looking at the correlation between the original measure and itself, so all values are exactly 1.0.)\n", "\n", "Abbreviating the PPI-R\n", "----------------------\n", "As you can see above, the canonical PPI-R has 154 items. That's a lot of items! It doesn't really need that many, does it? Well, let's find out! Below, we'll use precis to automatically abbreviate the PPI-R in just a few lines of code.\n", "\n", "First, we'll initialize Abbreviator and Evaluator objects. As their name implies, these objects are charged, respectively, with abbreviating a measure, and evaluating the performance of that abbreviation. An explanation of what the constructor arguments mean is outside the scope of this example, but you can either take a look at the docstrings in [abbreviate.py](https://github.com/tyarkoni/precis/blob/master/precis/abbreviate.py) and [evaluate.py](https://github.com/tyarkoni/precis/blob/master/precis/evaluate.py), or read [Yarkoni (2010)](http://pilab.psy.utexas.edu/publications/Yarkoni_JRP_2010b.pdf). Actually, you don't *have* to explicitly initialize these objects, as sensible defaults will be selected for you if you don't. But it's still good practice, just so you're aware of what's going on." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Initialize an Abbreviator object\n", "abb = TopNAbbreviator(max_items=5, min_r=0.2)\n", "# Initialize an Evaluator object \n", "ev = YarkoniEvaluator(item_cost=0.02)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, we'll initialize a new Generator instance. The Generator is the thing that does most of the dirty work for us. As its name suggests, it's responsible for *generating* a new abbreviated measure.\n", "\n", "The Generator constructor takes a large number of optional arguments. You can specify which abbreviator and evaluator to use, and, if you're so inclined, pass a whole bunch of additional keywords in that tune the genetic algorithm. The latter parameters are passed directly to the [DEAP](http://deap.gel.ulaval.ca/doc/default/index.html) package, which is what handles the actual evolutionary process. So if you want to tinker with the crossover and mutation rates, population size, etc., you can easily do that." ] }, { "cell_type": "code", "collapsed": false, "input": [ "gen = Generator(abbreviator=abb, evaluator=ev)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Once we initialize the Generator, creating an abbreviated measure is as easy as passing the original, full-length measure to the run() method, along with a specification of the number of generations to evolve a solution over. In this particular case, we'll also fix the random seed in order to ensure that we always get the same result when we re-run the code. If you don't set the seed, you'll tend to get somewhat different (though comparably good) abbreviations each time you run it.\n", "\n", "Let's run the genetic algorithm for 200 generations:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "gen.run(ppi, n_gens=200, seed=64, resume=False)" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This should take under 5 minutes on a reasonably new machine.\n", "\n", "While our Generator evolves a shorter version of the PPI-R, it's also keeping track of some key statistics. When the abbreviation process is over, we might want to know how it actually did. For that, we have a handy plot_history() method. Right now the plot it produces is pretty ugly, but that's okay; the point here is more just to give you a sense of what's going on under the hood." ] }, { "cell_type": "code", "collapsed": false, "input": [ "_ = gen.plot_history(size=(14,4))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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89kywdMzgyCSrezuqPVQRCXyYoJnEHwN3ETw8Pg7YCvxBLQe2WHuv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\nqNfvgPebWbmZ1QKnEwwEzFfPmNl54etLCZqK87qOZlYPLAX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"text": [ "" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": {}, "source": [ "The above figure simply summarizes three key performance metrics: (a) the mean R2 accounted for in the full-length scales by the abbreviated scales; (b) the number of items retained in the abbreviated measures; and (c) the total cost, or loss, of the best abbreviated measure in each generation. Note that the loss function depicted in the rightmost panel is monotonically decreasing (well, other than an occasional small increase due to the vagaries of random selection and recombination), whereas the other two metrics behave unpredictably, and depend largely on the parameters of the Abbreviator and the current DEAP settings. In this particular case, we can see that the number of retained items dropped steadily throughout the abbreviation run, whereas the mean R2 increased initially before hitting a plateau.\n", "\n", "Interestingly, we can see that the total cost of the best measure in each generation is still decreasing even after 200 generations, which suggests that we should probably let the GA run for a longer period of time. Fortunately, the Generator is capable of running incrementally, so if we called run() again--passing resume=True this time--we can pick up where we left off in the evolutionary process, instead of having to start all over again. If we give it another 800 generations and then inspect the plot again, we can confirm that the loss appears to bottom out somewhere around generation 500, which means we're probably not going to see any further improvement in this particular run." ] }, { "cell_type": "code", "collapsed": false, "input": [ "gen.run(ppi, n_gens=800, seed=64, resume=True)\n", "_ = gen.plot_history(size=(14,4))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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VhvyJJEo5N/YVEam2FuAg4ATgLODnwFLgi+4+HXgBuLh64YnISDKqsQ6ATV29VY5EREpJ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\nJTahEhEBTgX2B841s10IEqj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"text": [ "" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Abbreviation results\n", "--------------------\n", "\n", "Okay, now let's forget about the Generator object and take a look at what it returns once it's done running. We can assign a new variable, abb_ppi, which will contain the resulting abbreviated measure--an instance of class AbbreviatedMeasure. An AbbreviatedMeasure behaves just like a normal Measure for the most part, but also stores an internal reference to the Measure it originated from. Just as before, if we want to obtain some summary information about the new measure, we can simply print it:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "abb_ppi = gen.abbreviate()\n", "print(abb_ppi)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of items: 40\n", "Number of scales: 8\n", "Number of subjects: 1590\n", "\n", "Scoring key:\n", "B (5 items, R^2=0.83, alpha=0.70):\t18, 19, 40, 84, 122\n", "Ca (5 items, R^2=0.76, alpha=0.68):\t89R, 108R, 121R, 130R, 145R\n", "Co (5 items, R^2=0.85, alpha=0.72):\t27R, 75R, 97R, 109R, 153R\n", "F (5 items, R^2=0.86, alpha=0.74):\t12, 47R, 115, 137, 148\n", "M (5 items, R^2=0.73, alpha=0.55):\t33, 67, 77, 136, 154\n", "R (5 items, R^2=0.82, alpha=0.68):\t4, 36, 58, 80, 149\n", "So (5 items, R^2=0.82, alpha=0.70):\t22R, 34, 46, 87R, 113R\n", "St (5 items, R^2=0.86, alpha=0.70):\t10R, 32, 76R, 119R, 140\n", "\n", "Original measure items kept: 4, 10, 12, 18, 19, 22, 27, 32, 33, 34, 36, 40, 46, 47, 58, 67, 75, 76, 77, 80, 84, 87, 89, 97, 108, 109, 113, 115, 119, 121, 122, 130, 136, 137, 140, 145, 148, 149, 153, 154\n" ] } ], "prompt_number": 9 }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are a couple of things to note here. First, our abbreviated measure is much shorter! We've gone from 154 items to 40 items in the space of just a few minutes. Second, that drop in length was achieved at the cost of relatively little loss of fidelity. We can see that the R2 values (reflecting the amount of variance in the original scale accounted for by the abbreviated scale) are universally quite high. The alphas, on the other hand, are arguably quite low by conventional psychometric standards. But for reasons I won't get into here, low internal consistency is actually a good thing in this context (see [Yarkoni (2010)](http://pilab.psy.utexas.edu/publications/Yarkoni_JRP_2010b.pdf) for discussion of this issue).\n", "\n", "Before we go any further, let's save the result of our abbreviation for posterity. By default, calling save() on a Measure instance will save both a summary file containing the same information printed above, and a scoring key file that allows us to easily apply our abbreviated measure to new data:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "abb_ppi.save(path='abbreviations/', prefix='PPI', key=True, summary=True, pickle=False)" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we wanted to, we could also save a pickled version of the AbbreviatedMeasure instance itself, by passing pickle=True.\n", "\n", "So far things seem to be working well. But appearances can be deceiving. It's not enough to know that the convergent correlation between the full-length and abbreviated PPI-R measures is high; we'd like to corroborate that conclusion with some additional analyses. Fortunately, precis has a number of plotting functions that can help give us a visual sense of how well we're doing.\n", "\n", "First, we'll generate scatter plots displaying the relationship between the abbreviated and original scores for each PPI-R scale. The results--included in Eisenbarth, Lilienfeld, & Yarkoni (in press) as **Figure 2**--look pretty good:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Plot a set of scatterplots displaying correlation between abbreviated and original measure,\n", "# one for each PPI-R scale.\n", "sp.scale_scatter_plot(abb_ppi, rows=3, cols=3, trend=True, totals=True, jitter=0.3, alpha=0.3, size=(10,10))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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ZRVGeAfYriqJFXY19HOhCzX5QDRiAH8vIzqVD4OysvLwct/vK7a1WKxUVh/zXzsdWhsfj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judFljSs/QnTbZGfHw8TU0esrKGMW3atLB9Op2O226bzbp1a/nXv55l1y7V7cDhqEOjgczMwWFZ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VNRw/fpR4PI7Vmo3RaMBmy8PlcrF9+wtEo1HKy+vn1OFlCtzPPjI2ubRIOWeRSITBwf4FrxsZ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"text": [ "" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another way to evaluate the fidelity of the abbreviated measure is to ask how well it preserves the relationship between the original scales. precis allows us to easily visualize this:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "sp.composite(gen, ['corr-original', 'corr-cross'], measure=abb_ppi, size=(16,6))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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kiww8SfdWX6u1EKKG3TZrHm3NHxaifLy+wNNCiOWG9t+klGcyuMZtXZi/7mCdNbPLaJRF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\nEQKDI9Uez54ERuDsqNq2pLcDL7C1MadgQSOCM10mlTptP/Pr7+OZMv8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Bcn9QUgunt7zlzOYONvF7k9JsRsey2hLeqHZh+ZFwRBJQjCC4Ig/CUIwklBEM4LgvC+IAiNk09k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h1c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"text": [ "" ] } ], "prompt_number": 11 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we're taking advantage of a bit of magic in the composite() method, which is a high-level wrapper for a number of different plots. In this case, we're asking precis to generate two correlation matrices for us. The first one (left) displays the intercorrelation matrix for the 8 original PPI-R scales ('corr-original'); The second (right) displays the cross-correlations between the scales of the abbreviated and full-length PPI-R measures ('corr-cross'). If the abbreviation process was perfect, we would expect these two panels to look identical. In practice, they look *nearly* identical, which is about as much as we can realistically hope for.\n", "\n", "The above figure is included as **Figure 1** in Eisenbarth, Lilienfeld, & Yarkoni (in press)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Additional analyses\n", "-------------------\n", "\n", "That pretty much covers basic usage of precis. The rest of the code snippets below illustrate a few more advanced uses of precis.\n", "\n", "

Generating multiple variants

\n", "\n", "First, suppose we want to create several different abbreviated measures, each with slightly different Abbreviator and Evaluator parameters. We can simply loop over the levels of our parameters (in this case, max_items and item_cost), saving the output each time:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Create a full set of abbreviations...\n", "for mi in [3,5,7,9]:\n", " for ic in [0.02, 0.04, 0.06, 0.08]:\n", " abb = TopNAbbreviator(max_items=mi, min_r=0.2)\n", " ev = YarkoniEvaluator(item_cost=ic)\n", " gen = Generator(abbreviator=abb, evaluator=ev)\n", " gen.run(ppi, n_gens=1000, seed=64, resume=False)\n", " am = gen.abbreviate()\n", " am.save(path='abbreviations/', prefix='PPI_mi=%d_ic=%f' % (mi, ic), key=True, summary=True)" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here's some rather ugly code for reading in the summaries of all of those different measures and consolidating them in one summary table (**Table 1** in Eisenbarth, Lilienfeld, & Yarkoni, in press):" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Format all abbreviated measures into a summary table\n", "import re\n", "import pandas as pd\n", "def format_table(files):\n", " header = '\\t'.join(['MI', 'IC', 'Items', 'Mean_R2', 'mean_alpha'])\n", " table = [header]\n", " for f in files:\n", " m = re.search('mi\\=(\\d+)_ic\\=([0-9\\.]+)', f)\n", " if not m: continue\n", " mi, ic = m.groups()\n", " c = open(f).read()\n", " n_items = int(re.search('Number of items:\\s(\\d+)', c).group(1))\n", " scales = re.findall('^(.*)\\s+\\((\\d+)\\s.*R\\^2\\=([\\d\\.]+).*alpha\\=([\\d\\.]+)', c, re.MULTILINE)\n", " df = pd.DataFrame(scales, columns=['name', 'no_items', 'R^2', 'alpha']).convert_objects(convert_numeric=True)\n", " vals = (int(mi), float(ic), n_items, df['R^2'].mean(), df['alpha'].mean())\n", " line = '%d\\t%.2f\\t%d\\t%.2f\\t%.2f' % vals \n", " table.append(line)\n", " print('\\n'.join(table))\n", "\n", "from glob import glob\n", "files = glob('abbreviations/*summary.txt')\n", "format_table(files)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "MI\tIC\tItems\tMean_R2\tmean_alpha\n", "3\t0.02\t24\t0.72\t0.61\n", "3\t0.04\t24\t0.71\t0.61\n", "3\t0.06\t23\t0.70\t0.60\n", "3\t0.08\t22\t0.68\t0.57\n", "5\t0.02\t40\t0.81\t0.69\n", "5\t0.04\t39\t0.81\t0.68\n", "5\t0.06\t34\t0.78\t0.66\n", "5\t0.08\t31\t0.75\t0.64\n", "7\t0.02\t54\t0.86\t0.72\n", "7\t0.04\t48\t0.84\t0.72\n", "7\t0.06\t44\t0.82\t0.69\n", "7\t0.08\t31\t0.72\t0.63\n", "9\t0.02\t67\t0.90\t0.76\n", "9\t0.04\t55\t0.86\t0.75\n", "9\t0.06\t42\t0.77\t0.71\n", "9\t0.08\t22\t0.65\t0.56\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Testing performance in a new dataset

\n", "\n", "Here, we apply the 40-item PPI-R abbreviation we generated above to a new data set, in order to assess how well the abbreviation generalizes to a new population:" ] }, { "cell_type": "code", "collapsed": false, "input": [ "# Load the new data into its own measure\n", "eng_ppi = Measure(X='data/PPI-R_MTurk_data.txt', missing='drop')\n", "# Generate full-length PPI-R scale scores using the original PPI-R scoring key\n", "eng_ppi.score(key='data/PPI-R_scoring_key.txt', columns=['B','Ca','Co','F','M','R','So','St'], rescale=True)\n", "# Get the 40-item scoring key we generated above and use it to abbreviate the new measure directly\n", "ppi_40_key = abb_ppi.key\n", "abb_eng = AbbreviatedMeasure(eng_ppi, select=abb_ppi.original_items, key=ppi_40_key)\n", "# Print summary of abbreviated measure to evaluate performance relative to full-length measure\n", "print(abb_eng)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of items: 40\n", "Number of scales: 8\n", "Number of subjects: 229\n", "\n", "Scoring key:\n", "B (5 items, R^2=0.86, alpha=0.77):\t18, 19, 40, 84, 122\n", "Ca (5 items, R^2=0.73, alpha=0.55):\t89R, 108R, 121R, 130R, 145R\n", "Co (5 items, R^2=0.81, alpha=0.73):\t27R, 75R, 97R, 109R, 153R\n", "F (5 items, R^2=0.86, alpha=0.76):\t12, 47R, 115, 137, 148\n", "M (5 items, R^2=0.77, alpha=0.58):\t33, 67, 77, 136, 154\n", "R (5 items, R^2=0.79, alpha=0.74):\t4, 36, 58, 80, 149\n", "So (5 items, R^2=0.85, alpha=0.82):\t22R, 34, 46, 87R, 113R\n", "St (5 items, R^2=0.92, alpha=0.84):\t10R, 32, 76R, 119R, 140\n", "\n", "Original measure items kept: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40\n" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Adding derivative scales

\n", "\n", "Lastly, we can compute the convergent correlations and Cronbach's alphas for higher-order factors of the PPI-R, as well as total score. Because these are simple composites of the existing scales, we can just append them to the scoring key and rescore." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "\n", "# Add derivative scales to the scoring key\n", "def add_factors(key):\n", " fear_dom = np.sum(key[:,[3,6,7]], axis=1)\n", " imp_anti = np.sum(key[:,[0,1,4,5]], axis=1)\n", " total = np.sum(key, axis=1)\n", " return np.hstack((key, fear_dom[:,None], imp_anti[:,None], total[:,None])).astype(int)\n", "\n", "# Load full PPI and score\n", "old_key = add_factors(ppi.key)\n", "full_ppi = Measure(X='data/PPI-R_German_data.txt', missing='drop')\n", "full_ppi.score(key=old_key, columns=['B','Ca','Co','F','M','R','So','St','FD','IA','Tot'], rescale=True)\n", "\n", "# Abbreviate\n", "new_key = add_factors(abb_ppi.key)\n", "with_factors = AbbreviatedMeasure(full_ppi, select=abb_ppi.original_items, key=new_key)\n", "print with_factors" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Number of items: 40\n", "Number of scales: 11\n", "Number of subjects: 1590\n", "\n", "Scoring key:\n", "B (5 items, R^2=0.83, alpha=0.70):\t18, 19, 40, 84, 122\n", "Ca (5 items, R^2=0.76, alpha=0.68):\t89R, 108R, 121R, 130R, 145R\n", "Co (5 items, R^2=0.85, alpha=0.72):\t27R, 75R, 97R, 109R, 153R\n", "F (5 items, R^2=0.86, alpha=0.74):\t12, 47R, 115, 137, 148\n", "M (5 items, R^2=0.73, alpha=0.55):\t33, 67, 77, 136, 154\n", "R (5 items, R^2=0.82, alpha=0.68):\t4, 36, 58, 80, 149\n", "So (5 items, R^2=0.82, alpha=0.70):\t22R, 34, 46, 87R, 113R\n", "St (5 items, R^2=0.86, alpha=0.70):\t10R, 32, 76R, 119R, 140\n", "FD (15 items, R^2=0.89, alpha=0.78):\t10R, 12, 22R, 32, 34, 46, 47R, 76R, 87R, 113R, 115, 119R, 137, 140, 148\n", "IA (20 items, R^2=0.85, alpha=0.71):\t4, 18, 19, 33, 36, 40, 58, 67, 77, 80, 84, 89R, 108R, 121R, 122, 130R, 136, 145R, 149, 154\n", "Tot (40 items, R^2=0.90, alpha=0.79):\t4, 10R, 12, 18, 19, 22R, 27R, 32, 33, 34, 36, 40, 46, 47R, 58, 67, 75R, 76R, 77, 80, 84, 87R, 89R, 97R, 108R, 109R, 113R, 115, 119R, 121R, 122, 130R, 136, 137, 140, 145R, 148, 149, 153R, 154\n", "\n", "Original measure items kept: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40\n" ] } ], "prompt_number": 15 } ], "metadata": {} } ] }