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SAVE AJA DULU MANA TAU NANTI BUTUH 😜😜 Padahal, setiap teknik punya tujuan dan asumsi yang beda-beda. Kalau kamu asal pilih, hasil penelitian bisa jadi nggak nyambung sama rumusan masalah yang kamu buat di awal. Coba deh pahami perbedaannya dulu: 📊 1. Korelasi Dipakai kalau kamu cuma mau tahu apakah dua variabel punya hubungan, tanpa melihat siapa memengaruhi siapa. Contoh: hubungan antara motivasi belajar dan prestasi akademik. Hasilnya bisa positif, negatif, atau nggak ada hubungan sama sek...
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Oh ya, kalau kalian pengen belajar lebih banyak tentang Power Query dan teknik seru lainnya dalam analisis data, yuk gabung di bootcamp training kami! Komentar "Power Query" di bawah ini ya, nanti aku kirim link registrasinya! 🚀
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Kalo kamu ga mau asal pilih teknik analisis data, maka tiga hal ini wajib kamu pahami: skala datanya, karakteristik datanya, dan tujuan penelitiannya. 1. Pertama, pahami dulu skala pengukuran datanya. Ini langkah paling dasar, tapi juga yang paling sering disepelekan. - Kalo datamu cuma berupa kategori misalnya jenis kelamin, jurusan, atau status pekerjaan berarti datamu nominal. Itu artinya kamu cuma bisa ngitung frekuensi atau proporsi, bukan ngukur rata-rata. - Kalo datamu berupa peringkat a...
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