Introduction and explanation of the case data files that come with SPSS

Introduction and explanation of the case data files that come with SPSS SPSS beginners have a great demand for case data files. In fact, during the installation of the SPSS software package During the process, these files have been automatically placed on your computer's hard drive. So how to find it? I introduced before "Where to download the case data that comes with SPSS". Students who need it can search or download it by themselves. Today I will share the description of the case data file that comes with SPSS. See below for details:

accidents.sav

This hypothetical data file involves an insurance company that is studying age and gender risk factors for automobile accidents in a given area. Each case corresponds to a cross-classification of age category and gender category.

adl.sav

This hypothetical data file concerns initiatives to determine the merits of recommended types of treatment for patients with stroke. Physicians randomly assigned female stroke patients to one of two groups. Patients in the first group received standard physical therapy, while patients in the second group received additional emotional therapy. Over the three months of treatment, each patient's ability to perform general activities of daily living was scored and used as a raw variable.

advert.sav

This hypothetical data file involves a retailer's efforts to examine the relationship between advertising spending and sales performance. To do this, they gathered past sales figures and associated advertising costs.

aflatoxin.sav

This hypothetical data file involves the detection of aflatoxin in grains. The concentration of the toxin will vary depending on the grain yield (between different grains and within the same grain). between) and there is a big change. The grain processor received 16 samples from each of eight grain yields and measured aflatoxin levels in parts per billion (PPB).

anorectic.sav

In studying standard symptom references for anorexia/bulimia behavior, researchers1 surveyed 55 adolescents with known eating disorders. Each of these patients will be examined four times per year, so the total number of observations is 220. During each observation, these patients will be scored on each of the 16 symptoms. However, the symptom scores of patients No. 71 and 76 are missing at time point 2, and the symptom scores of patient No. 47 are missing at time point 3, so the number of effective observations is 217.

bankloan.sav

This hypothetical data file concerns a bank's efforts to reduce loan delinquency rates. The file contained financial and demographic information for 850 past and potential customers. The first 700 cases were customers who had previously received loans. The remaining 150 cases are potential customers and the bank needs to classify them as high or low credit risk.

bankloan_binning.sav

This hypothetical data file contains financial and demographic information for 5,000 past customers.

behavior.sav

In a classic example2, 52 students were asked to rate a combination of 15 situations and 15 behaviors on a 10-point scale. The point scale ranges from 0 = "extremely inappropriate" to 9 = "extremely inappropriate." The mean is above the individual values, and the values ??are considered dissimilar.

behavior_ini.sav

This data file contains the initial configuration of the two-dimensional solution of behavior.sav.

brakes.sav

This hypothetical data file involves quality control at a factory that produces high-performance automotive disc brakes. The data file contains diameter measurements of 16 disc brakes on each of eight specialized machine tools. The target diameter of the disc brakes is 322 mm.

breakfast.sav

In a classic study3, 21 Wharton School MBA students and their spouses were asked to rate 15 breakfast foods in order of preference, ranging from 1 =Their preferences were recorded in six different categories, ranging from "like them all" to "fast food with just a drink".

breakfast-overall.sav

This data file only contains the first case of breakfast food preferences, which is "like all".

broadband_1.sav

This hypothetical data file contains the number of customers subscribed to national broadband services by region. The data file contains monthly subscriber counts for 85 regions over a 4-year period.

broadband_2.sav

This data file is the same as broadband_1.sav, but contains three additional months of data.

car_insurance_claims.sav

4 datasets on car damage claims presented and analyzed elsewhere. The average claim amount can be modeled as if it had a gamma distribution, by using an inverse link function to relate the mean of the dependent variable to a linear combination of policyholder age, vehicle type, and vehicle age. The number of claims filed can serve as a tick weight.

car_sales.sav

This data file contains hypothetical sales estimates, pricing, and physical specifications for various makes and models of vehicles. Pricing and physical specifications are available from edmunds.com and from the manufacturer.

car_sales_uprepared.sav

This is a modified version of car_sales.sav and does not contain any transformed versions of the fields.

carpet.sav

In a common example5, a company is placing great emphasis on marketing a new carpet cleaning product and wants to examine the impact of the following five factors on consumer preferences. : Packaging design, brand name, price, excellent homeware logo and return guarantee. The packaging design has three factor levels, each factor level differing depending on the brush position; there are three brand names (K2R, Glory and Bissell); there are three price levels; and the last two factors have two levels each (present or absent). Ten consumers ranked 22 characteristics defined by these factors. The variable preferably contains a ranking of the average rank of each profile. Low levels correspond to high preferences. This variable reflects an overall measure of preference for each profile.

carpet_prefs.sav

This data file is based on the same sample as described in carpet.sav, but it also contains data collected from each of the 10 consumers the actual sort order. Consumers were asked to rank 22 product profiles from most to least preferred. The variables PREF1 to PREF22 defined in carpet_plan.sav contain the identification of relevant features.

catalog.sav

This data file contains hypothetical monthly sales data for three products sold by a cataloging company. Data for 5 possible predictor variables are also included.

catalog_seasfac.sav

This data file is the same as catalog.sav, except that a set of seasonal factors calculated from the Seasonal Decomposition process and accompanying date variables are added. are the same.

cellular.sav

This hypothetical data file concerns a cellular phone company's efforts to reduce customer churn. A churn propensity score is applied to the account, with the score ranging from 0 to 100. Accounts with a score of 50 or higher may switch providers.

ceramics.sav

This hypothetical data file concerns a manufacturer's efforts to determine whether a new premium alloy has greater heat resistance than a standard alloy. Each case represents an individual examination of an alloy; the alloy's heat resistance limit is recorded in the case.

cereal.sav

This hypothetical data file involves a poll of 880 people on breakfast preferences. The survey recorded the age, gender, marital status and life of the participants. In a positive way (based on whether they do exercise at least twice a week). Each case represents an individual respondent.

clothing_defects.sav

This is a hypothetical data file about the quality control process of a clothing factory. Inspectors are required to sample and inspect each batch of clothing produced in the factory and count the number of unqualified garments.

coffee.sav

This is a data file about the perceived brand image 6 of six types of iced coffee. For each of the 23 characteristic iced coffee attributes, people selected all brands described by that attribute. For confidentiality reasons, the six brands are represented by AA, BB, CC, DD, EE and FF.

contacts.sav

This hypothetical data file involves a list of contact information for a group of company's computer sales representatives. Categorize each contact based on the company division in which those sales representatives work and their level within the company. The most recent sales volume, the time since the last sale and the size of the company contacted are also recorded.

creditpromo.sav

This hypothetical data file concerns a department store's efforts to evaluate the effectiveness of its latest credit card promotion. For this purpose, 500 cardholders were randomly selected. Half of them received ads promoting lower consumer rates over the next three months. The other half received standard seasonal advertising.

customer_dbase.sav

This hypothetical data file involves a company's efforts to use information in a data warehouse to provide special offers to customers who are most likely to respond. Randomly select a subset of your customer base and offer them special offers, while recording their responses.

customer_information.sav

This hypothetical data file contains customer mailing information, such as name and address.

customer_subset.sav

A subset of 80 cases from customer_dbase.sav.

debate.sav

This hypothetical data file involves paired responses to a survey of participants in a political debate before and after the debate. Each case corresponds to a separate respondent.

debate_aggregate.sav

This hypothetical data file aggregates the responses in debate.sav. Each case corresponds to a cross-classification of pre- and post-debate preferences.

demo.sav

This is a hypothetical data file for a shopping customer database used to ship monthly items. Whether the customer responded to the item and various demographic information will be recorded.

demo_cs_1.sav

This hypothetical data file concerns the first steps in a company's initiative to compile a database of survey information. Each case corresponds to a different city, and regional, provincial, district and city identifiers are recorded.

demo_cs_2.sav

This hypothetical data file relates to the second step in a company's initiative to compile a database of survey information. Each case corresponds to a different household cell from the city selected in the first step, and the region, province, district, city, subdistrict and cell identifier are recorded. Sampling information for the first two stages of the design is also included.

demo_cs.sav

This hypothetical data file contains survey information collected using a complex sampling design. Each case corresponds to a different household cell and various demographic and sampling information is recorded.

dmdata.sav

This hypothetical data file contains demographic and purchasing information for a direct selling company. dmdata2.sav contains information for the subset of contacts who received the trial mailing, and dmdata3.sav contains information for the remaining contacts who did not receive the trial mailing.

dietstudy.sav

This hypothetical data file contains the results of the study "Stillman diet" 7. Each case corresponds to an individual subject and their weight (in pounds) and triglyceride levels (mg/100 ml) before and after the dietary regimen are recorded.

dvdplayer.sav

This is a hypothetical data file regarding the development of a new DVD player. The marketing team collected focus group data using the prototype. Each case corresponds to an individual surveyed user, and their demographic information and their responses to prototype questions are recorded.

german_credit.sav

This data file is taken from the "German credit" data set in the Repository of Machine Learning Databases 8 at the University of California, Irvine.

grocery_1month.sav

This hypothetical data file is based on the data file grocery_coupons.sav plus the weekly shopping "accumulation", so each case corresponds to a separate customer . Therefore, some of the variables that changed from week to week disappeared, and the amount of consumption recorded is now the sum of the amount spent over the course of the four-week study.

grocery_coupons.sav

This hypothetical data file contains survey data collected by a grocery chain that values ??customer shopping habits. Each customer is surveyed for four weeks, with each case corresponding to a separate customer week, and information about where and how the customer shopped (including how much the customer spent on groceries during that week) was recorded.

guttman.sav

Bell 9 creates a table illustrating possible social groups. Guttman 10 cites a portion of this table, which includes five variables describing social interaction, sense of belonging to the group, physical proximity of members, and formality of relationships in seven theoretical social groups: Spectators (e.g., at football matches people present), audience (such as people in a theater or listening to a classroom lecture), public (such as a newspaper or television audience), organizational group (similar to the audience but with close relationship), primary group (close relationship), secondary group (spontaneous organizations) and modern communities (physical proximity leads to loose relationships and the need for specialized services).

health_funding.sav

This hypothetical data file contains information on health funding (amount per 100 people), incidence rates (rate per 10,000 people), and health provider visit rates (per 10,000 ratio) data. Each case represents a different city.

hivassay.sav

This hypothetical data file concerns a pharmaceutical laboratory's efforts to develop a rapid assay for the detection of HIV infection. The test results are eight darker shades of red, with darker shades indicating a higher likelihood of infection. Laboratory tests were conducted on 2,000 blood samples, half of which were infected with HIV and the other half were not infected.

hourlywagedata.sav

This hypothetical data file concerns the hourly wages of nurses with varying experience levels working in government agencies and hospitals.

insurance_claims.sav

This hypothetical data file concerns an insurance company that wants to build a model for flagging suspicious and potentially fraudulent claims. Each case represents a separate claim.

insure.sav

This hypothetical data file involves an insurance company that is studying risk factors that indicate whether customers will file a claim under a 10-year life insurance contract. Each case in the data file represents a pair of contracts matched by age and gender, one of which records a claim and the other which does not.

judges.sav

This hypothetical data file involves scores given by trained judges (plus a gymnastics enthusiast) for 300 gymnastics performances.

Each row represents a separate performance; judges watch the same performance.

kinship_dat.sav

Rosenberg and Kim 11 began to analyze 15 kinship items (aunt, brother, cousin, daughter, father, granddaughter, grandfather, grandmother, grandson, mother, Nephews, nieces, sisters, sons and uncles). They asked four groups of college students (two groups of female students, two groups of male students) to rank items according to their degree of similarity. They asked two groups of students (one group of female students and one group of male students) to be sorted twice. The criteria for the second sorting were different from the first sorting. In this way, one *** gets six groups of "sources". Each source corresponds to a 15 x 15 matrix of approximations whose cells contain values ??equal to the number of people in the source minus the number of times the object in the source has been divided.

kinship_ini.sav

This data file contains the initial configuration of the three-dimensional solution of kinship_dat.sav.

kinship_var.sav

This data file contains the independent variables gender, gener(ation), and degree (of separation), which can be used to explain the dimensionality of the solution to kinship_dat.sav. Specifically, they can be used to restrict the space of solutions to linear combinations of these variables.

marketvalues.sav

This data file covers home sales in new housing developments in the Algonquin, Ill. area during 1999–2000. These sales are derived solely from public records.

nhis2000_subset.sav

The National Health Interview Survey (NHIS) is a large population survey of all citizens of the United States. The survey conducted face-to-face interviews with a nationally representative sample of households in the United States and captured demographic and observational data on the health behaviors and health status of members of each household. This data file contains a subset of information taken from the 2000 survey. National Center for Health Statistics. 2000 American Health Interview Survey. Public data files and documents. ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NHIS/2000/. Released in 2003.

ozone.sav

The data contain 330 observations of six meteorological variables used to predict ozone concentrations from the remaining variables. Among previous researchers, 12 , 13 found nonlinearities between these variables, which hampered standard regression methods.

pain_medication.sav

This hypothetical data file contains the results of a clinical trial of an anti-inflammatory drug used to treat chronic arthritis pain. We are interested in how long it takes for the drug to work and how it compares to existing drugs.

patient_los.sav

This hypothetical data file contains the treatment records of a patient diagnosed by a hospital with a suspected myocardial infarction (that is, an MI or "heart attack"). Each case corresponds to an individual patient and a number of variables related to his or her hospitalization are recorded.

patlos_sample.sav

This hypothetical data file contains sample treatment records for a patient who received a thrombolytic agent during treatment for a myocardial infarction (i.e., MI or "heart attack"). Each case corresponds to an individual patient and a number of variables related to his or her hospitalization are recorded.

poll_cs.sav

This hypothetical data file concerns the actions of pollsters in determining the level of public support for a bill before it is formally enacted. Cases correspond to registered voters. Each case records the county, town, and district where the voter lives.

poll_cs_sample.sav

This hypothetical data file contains a sample of the voters listed in poll_cs.sav. The sample is selected based on the design specified in poll.csplan, and the data file record contains probabilities and sample weights.

Note that since this sampling plan uses the proportional to size (PPS) method, there is also a file (poll_jointprob.sav) containing the joint selection probabilities. After the sample has been selected, additional variables corresponding to the demographics of voters and their opinions on submitted bills are collected and added to the data file.

property_assess.sav

This hypothetical data file concerns the efforts of a county's property assessor to continually update property value assessments using limited resources. Cases correspond to properties sold in the county during the past year. Each case in the data file records the town in which the property is located, the appraiser who last appraised the property, the time since that appraisal, the valuation at that time, and the price for which the property was sold.

property_assess_cs.sav

This hypothetical data file concerns the efforts of a state's property assessor to continually update property value assessments using limited resources. Cases correspond to assets in the state. Each case in the data file records the county, town, and district in which the property is located, how long ago it was last appraised, and its estimated value at that time.

property_assess_cs_sample.sav

This hypothetical data file contains a sample of the assets listed in property_assess_cs.sav. The sample is selected based on the design specified in property_assess.csplan, and the data file records contain probabilities and sample weights. After the sample is selected, the additional variable Current value will be collected and added to the data file.

recidivism.sav

This hypothetical data file concerns the efforts of a government law enforcement agency to understand recidivism rates within its jurisdiction. Each case corresponds to a previous offender and their demographic information and details of the first offense are recorded; if a second arrest occurs within two years of the first arrest, both arrests are also recorded interval time.

recidivism_cs_sample.sav

This hypothetical data file concerns a government law enforcement agency's efforts to understand recidivism rates within its jurisdiction. Each case corresponds to a previous offender who was first arrested and released during June 2003, with demographic information and details of the first offense recorded, as well as data on his second arrest (if any). before the end of June 2006). Offenders are selected from the sampling units according to the sampling plan specified in recidivism_cs.csplan; this plan uses the Proportional to Size (PPS) method, therefore, there is also a file (recidivism_cs_jointprob.sav) containing the joint selection probabilities.

rfm_transactions.sav

This hypothetical data file contains purchase transaction data, that is, the purchase date, item purchased, and amount spent for each transaction.

salesperformance.sav

This is a hypothetical data file regarding the evaluation of two new sales training courses. The 60 employees were divided into 3 groups and all received standard training. Additionally, Group 2 received technical training; Group 3 received practical tutorials. At the end of the training session, give each employee a quiz and record their scores. Each case in the data file represents an individual trainee and records the group to which he was assigned and his test score.

satisf.sav

This hypothetical data file involves a satisfaction survey conducted by a retail company at four store locations. Total*** surveyed 582 customers, with each case representing the responses of an individual customer.

screws.sav

This data file contains information about the characteristics of screws, bolts, nuts, and thumbtacks14.

shampoo_ph.sav

This is a hypothetical data file about quality control at a hair products factory. Six independent output batches were tested at specified intervals and their pH values ??recorded. The target range is 4.5–5.5.

ships.sav

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